Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review

Meeting current needs without compromising future generations’ ability to meet theirs is the only path toward achieving environmental sustainability. As the most valuable natural resource, soil faces global, regional, and local challenges, from quality degradation to mass losses brought on by salini...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Remote sensing (Basel, Switzerland) Jg. 15; H. 10; S. 2540
Hauptverfasser: Sahbeni, Ghada, Ngabire, Maurice, Musyimi, Peter K., Székely, Balázs
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 12.05.2023
Schlagworte:
Agricultural production
agricultural productivity
Arid regions
Arid zones
climate
Climate change
Climate variability
Comparative analysis
Data processing
Decision making
Distribution
Ecological balance
Ecology
environmental sustainability
Food security
Information retrieval
Laboratories
Land surveys
Land use planning
Machine learning
Mapping
Measurement
Moisture content
monitoring
Natural resources
Radiation
Regression analysis
Remote monitoring
Remote sensing
Remote sensing systems
Researchers
Resource management
Reviews
Salinity
Salinization
salinization mapping
Sensors
soil
Soil mapping
soil resource management
Soil salinity
soil salinization
Soils
Soils, Salts in
Sustainability
Sustainable agriculture
Topography
Vegetation
Hungary
Iraq
ISSN:2072-4292, 2072-4292
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Abstract Meeting current needs without compromising future generations’ ability to meet theirs is the only path toward achieving environmental sustainability. As the most valuable natural resource, soil faces global, regional, and local challenges, from quality degradation to mass losses brought on by salinization. These issues affect agricultural productivity and ecological balance, undermining sustainability and food security. Therefore, timely monitoring and accurate mapping of salinization processes are crucial, especially in semi-arid and arid regions where climate variability impacts have already reached alarming levels. Salt-affected soil mapping has enormous potential thanks to recent progress in remote sensing. This paper comprehensively reviews the potential of remote sensing to assess soil salinization. The review demonstrates that large-scale soil salinity estimation based on remote sensing tools remains a significant challenge, primarily due to data resolution and acquisition costs. Fundamental trade-offs constrain practical remote sensing applications in salinization mapping between data resolution, spatial and temporal coverage, acquisition costs, and high accuracy expectations. This article provides an overview of research work related to soil salinization mapping and monitoring using remote sensing. By synthesizing recent research and highlighting areas where further investigation is needed, this review helps to steer future efforts, provides insight for decision-making on environmental sustainability and soil resource management, and promotes interdisciplinary collaboration.
AbstractList Meeting current needs without compromising future generations’ ability to meet theirs is the only path toward achieving environmental sustainability. As the most valuable natural resource, soil faces global, regional, and local challenges, from quality degradation to mass losses brought on by salinization. These issues affect agricultural productivity and ecological balance, undermining sustainability and food security. Therefore, timely monitoring and accurate mapping of salinization processes are crucial, especially in semi-arid and arid regions where climate variability impacts have already reached alarming levels. Salt-affected soil mapping has enormous potential thanks to recent progress in remote sensing. This paper comprehensively reviews the potential of remote sensing to assess soil salinization. The review demonstrates that large-scale soil salinity estimation based on remote sensing tools remains a significant challenge, primarily due to data resolution and acquisition costs. Fundamental trade-offs constrain practical remote sensing applications in salinization mapping between data resolution, spatial and temporal coverage, acquisition costs, and high accuracy expectations. This article provides an overview of research work related to soil salinization mapping and monitoring using remote sensing. By synthesizing recent research and highlighting areas where further investigation is needed, this review helps to steer future efforts, provides insight for decision-making on environmental sustainability and soil resource management, and promotes interdisciplinary collaboration.
Audience Academic
Author Székely, Balázs
Sahbeni, Ghada
Ngabire, Maurice
Musyimi, Peter K.
Author_xml – sequence: 1
  givenname: Ghada
  orcidid: 0000-0001-8595-3043
  surname: Sahbeni
  fullname: Sahbeni, Ghada
– sequence: 2
  givenname: Maurice
  orcidid: 0000-0003-2634-0460
  surname: Ngabire
  fullname: Ngabire, Maurice
– sequence: 3
  givenname: Peter K.
  orcidid: 0000-0003-4165-8565
  surname: Musyimi
  fullname: Musyimi, Peter K.
– sequence: 4
  givenname: Balázs
  orcidid: 0000-0002-6552-4329
  surname: Székely
  fullname: Székely, Balázs
BookMark eNptUV2LEzEUDbKCa90Xf8GALyJ0zefMxLdS_FjYZcHqc7ibuakp02RMpor-em-3orKYPCS5Oefcj_OUnaWckLHngl8qZfnrUoURXBrNH7FzyTu51NLKs3_uT9hFrTtOSylhuT5nuP4C44hpi7WBNDS305TLfEhxjhSJqfmI-zxjs8FUY9o2IZdmk-PYbGCMKf6EOebU3MA0HX-PCjeZyLnQ802zIvq3iN-fsccBxooXv88F-_zu7af1h-X17fur9ep66bVS8xJ726HnHQ6yb9u7AHeaqkSPNhjujW2laaXloCTnYhAGW6Vl21kUwlvgQS3Y1Ul3yLBzU4l7KD9chujuA7lsHZQ5-hEd0lAEN8oIITUEAYaUEAYMfWv6YEnr5UlrKvnrAevs9rF6HEdImA_VKa65VsLQKBfsxQPoLh9Kok6d7IXVPeU6Cl6eUFug_DGFPBfwtAfcR09WhkjxVUeFmM7ajgivTgRfcq0Fw5-OBHdHx91fxwnMH4B9nO_doSxx_B_lF2kurOo
CitedBy_id crossref_primary_10_1007_s11274_025_04342_6
crossref_primary_10_1016_j_ecolind_2025_113506
crossref_primary_10_1080_01431161_2024_2412804
crossref_primary_10_3389_frwa_2025_1553732
crossref_primary_10_1007_s11104_024_06919_w
crossref_primary_10_3389_fenvs_2025_1658175
crossref_primary_10_1007_s12649_024_02589_y
crossref_primary_10_1134_S1064229325601027
crossref_primary_10_3390_rs16244812
crossref_primary_10_3390_land12101932
crossref_primary_10_1002_ldr_5635
crossref_primary_10_1016_j_compag_2024_109017
crossref_primary_10_1007_s10661_024_13030_1
crossref_primary_10_3390_land13040422
crossref_primary_10_3390_land14010024
crossref_primary_10_3390_agriculture15131376
crossref_primary_10_3390_su17188296
crossref_primary_10_1007_s12145_024_01423_2
crossref_primary_10_1109_TGRS_2025_3536015
crossref_primary_10_3390_agriculture15010106
crossref_primary_10_3390_w17152234
crossref_primary_10_3390_land13111941
crossref_primary_10_1016_j_ecolind_2025_113130
crossref_primary_10_1038_s41598_024_68594_2
crossref_primary_10_1109_JSTARS_2025_3575770
crossref_primary_10_3390_fermentation11060326
crossref_primary_10_3390_life15040591
crossref_primary_10_3390_soilsystems8010011
crossref_primary_10_1038_s41598_025_13049_5
crossref_primary_10_1007_s10661_025_13728_w
crossref_primary_10_3390_rs16244761
crossref_primary_10_62051_ijnres_v6n1_02
crossref_primary_10_3390_land12081516
crossref_primary_10_1002_ldr_5583
crossref_primary_10_1002_ird_3100
crossref_primary_10_3390_plants13020186
crossref_primary_10_3389_fpls_2024_1358965
crossref_primary_10_3390_rs17172987
crossref_primary_10_1016_j_asr_2025_07_074
crossref_primary_10_1016_j_ecolind_2025_113608
crossref_primary_10_1016_j_geoderma_2025_117229
crossref_primary_10_1007_s42729_025_02455_3
crossref_primary_10_3390_drones7060357
crossref_primary_10_1016_j_ecoinf_2024_102795
crossref_primary_10_1007_s10661_024_13576_0
crossref_primary_10_1016_j_isci_2025_113020
crossref_primary_10_1061_JCRGEI_CRENG_886
crossref_primary_10_1002_ldr_5694
crossref_primary_10_1002_ldr_5578
crossref_primary_10_1016_j_ecofro_2025_04_004
crossref_primary_10_1016_j_geoderma_2023_116738
crossref_primary_10_3390_agronomy15051236
crossref_primary_10_3390_su152115444
crossref_primary_10_3390_land12091680
crossref_primary_10_1038_s41598_024_82173_5
crossref_primary_10_1007_s11104_025_07683_1
crossref_primary_10_1016_j_geoderma_2025_117415
crossref_primary_10_59277_RRG_2025_1_06
crossref_primary_10_1038_s41598_023_44132_4
crossref_primary_10_3390_s25164991
crossref_primary_10_1039_D4EM00698D
crossref_primary_10_3390_rs16183456
crossref_primary_10_1016_j_microc_2024_111666
crossref_primary_10_3390_rs16183421
crossref_primary_10_3390_rs15245640
crossref_primary_10_3389_feart_2024_1488504
crossref_primary_10_1111_pce_15353
crossref_primary_10_3390_plants14030303
crossref_primary_10_1038_s41597_025_05447_1
crossref_primary_10_1016_j_ecolind_2025_113672
crossref_primary_10_1016_j_heliyon_2023_e21908
crossref_primary_10_1016_j_agwat_2025_109645
crossref_primary_10_1016_j_catena_2025_108773
crossref_primary_10_3390_app15052747
crossref_primary_10_1016_j_catena_2025_108776
crossref_primary_10_1088_1755_1315_1438_1_012071
crossref_primary_10_1016_j_agwat_2024_108970
Cites_doi 10.3390/land11101784
10.1023/A:1010933404324
10.3390/app122010550
10.3390/rs9010042
10.1177/030913339702100404
10.1371/journal.pone.0266915
10.1038/s41598-021-89151-1
10.4236/ars.2019.83005
10.1016/j.proeng.2012.01.1193
10.1080/01431161.2018.1513180
10.3390/rs13020305
10.1016/j.scitotenv.2019.135387
10.1038/s41598-023-27760-8
10.1007/s10666-022-09823-8
10.1038/s41467-021-26907-3
10.1016/j.heliyon.2021.e07439
10.1016/j.jenvman.2020.111383
10.1016/j.geoderma.2014.07.028
10.1109/IGARSS.2013.6723791
10.1088/1755-1315/1068/1/012037
10.3389/fenvs.2016.00065
10.1007/s40808-020-00829-3
10.1016/j.geoderma.2018.08.006
10.2136/sssaj2018.02.0074
10.3390/w12030880
10.1080/19475705.2019.1650125
10.3390/agronomy12081858
10.1007/s42979-021-00592-x
10.1016/j.catena.2022.106054
10.3390/land10121377
10.3390/rs13020250
10.2136/sssaj2018.06.0221
10.3390/rs14184448
10.1016/j.compag.2022.107512
10.5194/isprs-archives-XLI-B7-3-2016
10.3390/rs14225639
10.1016/j.sjbs.2014.12.001
10.1016/j.envc.2021.100290
10.3390/rs1030210
10.3390/rs11070736
10.1080/01431161.2011.599346
10.1016/j.geoderma.2010.02.015
10.1016/j.scitotenv.2016.08.177
10.3390/w14071158
10.3390/land11101697
10.5194/hess-2019-294
10.1080/22797254.2019.1596756
10.3390/agriculture12091490
10.1515/geo-2020-0103
10.3390/rs11121443
10.3390/rs14071606
10.1111/ejss.13010
10.1016/S2095-3119(17)61762-3
10.1016/B978-1-55860-307-3.50037-X
10.1111/sum.12772
10.1109/Agro-Geoinformatics55649.2022.9858969
10.1016/j.isprsjprs.2021.12.006
10.1007/978-3-030-21344-2
10.1007/s11769-019-1071-x
10.1016/j.pce.2022.103230
10.1109/TGRS.2022.3228927
10.1016/S1002-0160(10)60027-6
10.3390/s18124418
10.1016/bs.agron.2019.07.001
10.15244/pjoes/81693
10.3390/rs13173402
10.5772/intechopen.71049
10.1016/j.agwat.2004.09.038
10.3390/rs2010151
10.3390/rs14081863
10.1016/j.scitotenv.2021.146253
10.1016/j.isprsjprs.2013.04.007
10.1016/j.mcm.2011.10.026
10.3390/land11122148
10.3390/rs14184647
10.3390/rs15071751
10.1080/19475705.2022.2156820
10.3390/rs14133204
10.1080/01431161.2018.1512767
10.1016/j.jafrearsci.2019.01.008
10.17221/178/2020-SWR
10.1186/s40645-019-0311-0
10.1016/j.asr.2021.10.024
10.3390/rs10040598
10.1016/j.rse.2019.111260
10.1515/geo-2020-0286
10.1007/978-1-4020-6778-5
10.1016/S0034-4257(02)00188-8
10.1109/M2GARSS52314.2022.9839716
10.3390/rs14112602
10.3390/agriculture13050976
10.3390/rs12030426
10.1016/j.geoderma.2017.05.016
10.3390/rs14020363
10.1007/s42452-021-04587-4
10.15201/hungeobull.68.2.3
10.1080/01431161.2013.793859
10.3390/rs14164080
10.1016/j.geoderma.2022.116065
10.3390/app9081621
10.1038/s41598-017-08119-2
10.1007/s10661-021-08958-7
10.1371/journal.pone.0259695
10.5194/egusphere-egu2020-3013
10.1007/978-981-15-2039-6
10.3390/w15091694
10.3390/rs5020716
10.3390/rs12142291
10.3390/rs12244073
10.3390/rs11020128
10.12911/22998993/152281
10.1016/j.geoderma.2017.03.013
10.3390/rs14102301
10.3390/rs14030714
10.1117/1.JRS.11.016043
10.12911/22998993/155952
10.3390/s8117035
10.2134/jeq2002.1453
10.3390/agronomy11020203
10.1016/j.rse.2015.08.026
10.3390/su15097452
10.1007/s10661-023-10923-5
10.1080/00103620802432717
10.1109/ATSIP55956.2022.9805954
10.1080/014311697217486
10.1016/j.scitotenv.2021.145807
10.3390/rs14133020
10.3390/agronomy13020583
10.5772/62589
10.1038/s41598-022-19357-4
10.1201/9781420065039
10.1016/j.proeps.2015.08.062
10.1016/j.agwat.2020.106387
10.1590/0103-9016-2013-0338
10.7717/peerj.13306
10.1515/geo-2020-0244
10.1007/978-981-13-5832-6
10.3390/rs14112599
10.1016/j.rse.2021.112381
10.1371/journal.pone.0228494
10.1126/science.1256014
10.3390/agronomy11061038
10.3390/s22020546
10.1016/j.agwat.2022.108115
10.3390/rs12091369
10.3923/ijss.2008.92.100
ContentType Journal Article
Copyright COPYRIGHT 2023 MDPI AG
2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: COPYRIGHT 2023 MDPI AG
– notice: 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID AAYXX
CITATION
7QF
7QO
7QQ
7QR
7SC
7SE
7SN
7SP
7SR
7TA
7TB
7U5
8BQ
8FD
8FE
8FG
ABJCF
ABUWG
AFKRA
ARAPS
AZQEC
BENPR
BGLVJ
BHPHI
BKSAR
C1K
CCPQU
COVID
DWQXO
F28
FR3
H8D
H8G
HCIFZ
JG9
JQ2
KR7
L6V
L7M
L~C
L~D
M7S
P5Z
P62
P64
PCBAR
PHGZM
PHGZT
PIMPY
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
PTHSS
7S9
L.6
DOA
DOI 10.3390/rs15102540
DatabaseName CrossRef
Aluminium Industry Abstracts
Biotechnology Research Abstracts
Ceramic Abstracts
Chemoreception Abstracts
Computer and Information Systems Abstracts
Corrosion Abstracts
Ecology Abstracts
Electronics & Communications Abstracts
Engineered Materials Abstracts
Materials Business File
Mechanical & Transportation Engineering Abstracts
Solid State and Superconductivity Abstracts
METADEX
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
Materials Science & Engineering Collection
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
Advanced Technologies & Computer Science Collection
ProQuest Central Essentials - QC
ProQuest Central
ProQuest Technology Collection
Natural Science Collection
Earth, Atmospheric & Aquatic Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
Coronavirus Research Database
ProQuest Central
ANTE: Abstracts in New Technology & Engineering
Engineering Research Database
Aerospace Database
Copper Technical Reference Library
SciTech Premium Collection
Materials Research Database
ProQuest Computer Science Collection
Civil Engineering Abstracts
ProQuest Engineering Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Engineering Database
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
Biotechnology and BioEngineering Abstracts
Earth, Atmospheric & Aquatic Science Database
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Publicly Available Content Database
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
Engineering Collection
AGRICOLA
AGRICOLA - Academic
DOAJ Directory of Open Access Journals
DatabaseTitle CrossRef
Publicly Available Content Database
Materials Research Database
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
SciTech Premium Collection
Materials Business File
Environmental Sciences and Pollution Management
ProQuest One Applied & Life Sciences
Engineered Materials Abstracts
Natural Science Collection
Chemoreception Abstracts
ProQuest Central (New)
Engineering Collection
ANTE: Abstracts in New Technology & Engineering
Advanced Technologies & Aerospace Collection
Engineering Database
Aluminium Industry Abstracts
ProQuest One Academic Eastern Edition
Electronics & Communications Abstracts
Earth, Atmospheric & Aquatic Science Database
Coronavirus Research Database
ProQuest Technology Collection
Ceramic Abstracts
Ecology Abstracts
Biotechnology and BioEngineering Abstracts
ProQuest One Academic UKI Edition
Solid State and Superconductivity Abstracts
Engineering Research Database
ProQuest One Academic
ProQuest One Academic (New)
Technology Collection
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest One Academic Middle East (New)
Mechanical & Transportation Engineering Abstracts
ProQuest Central (Alumni Edition)
ProQuest One Community College
Earth, Atmospheric & Aquatic Science Collection
ProQuest Central
Aerospace Database
Copper Technical Reference Library
ProQuest Engineering Collection
Biotechnology Research Abstracts
ProQuest Central Korea
Advanced Technologies Database with Aerospace
Civil Engineering Abstracts
ProQuest SciTech Collection
METADEX
Computer and Information Systems Abstracts Professional
Advanced Technologies & Aerospace Database
Materials Science & Engineering Collection
Corrosion Abstracts
AGRICOLA
AGRICOLA - Academic
DatabaseTitleList CrossRef

Publicly Available Content Database

AGRICOLA
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: PIMPY
  name: ProQuest Publicly Available Content Database
  url: http://search.proquest.com/publiccontent
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Geography
Ecology
EISSN 2072-4292
ExternalDocumentID oai_doaj_org_article_e207105351124af1a5267eadef8658f9
A752657997
10_3390_rs15102540
GeographicLocations Hungary
Iraq
GeographicLocations_xml – name: Hungary
– name: Iraq
GroupedDBID 29P
2WC
2XV
5VS
8FE
8FG
8FH
AADQD
AAHBH
AAYXX
ABDBF
ABJCF
ACUHS
ADBBV
ADMLS
AENEX
AFFHD
AFKRA
AFZYC
ALMA_UNASSIGNED_HOLDINGS
ARAPS
BCNDV
BENPR
BGLVJ
BHPHI
BKSAR
CCPQU
CITATION
E3Z
ESX
FRP
GROUPED_DOAJ
HCIFZ
I-F
IAO
ITC
KQ8
L6V
LK5
M7R
M7S
MODMG
M~E
OK1
P62
PCBAR
PHGZM
PHGZT
PIMPY
PQGLB
PROAC
PTHSS
TR2
TUS
7QF
7QO
7QQ
7QR
7SC
7SE
7SN
7SP
7SR
7TA
7TB
7U5
8BQ
8FD
ABUWG
AZQEC
C1K
COVID
DWQXO
F28
FR3
H8D
H8G
JG9
JQ2
KR7
L7M
L~C
L~D
P64
PKEHL
PQEST
PQQKQ
PQUKI
7S9
L.6
PUEGO
ID FETCH-LOGICAL-c433t-e897ec07ed2866bfab4190ece9f50c596256290a32001d15e6342679e11c9a0f3
IEDL.DBID DOA
ISICitedReferencesCount 89
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000996932400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2072-4292
IngestDate Tue Oct 14 19:08:41 EDT 2025
Thu Oct 02 11:20:15 EDT 2025
Fri Jul 25 11:52:47 EDT 2025
Tue Nov 04 18:13:26 EST 2025
Tue Nov 18 21:44:30 EST 2025
Sat Nov 29 07:16:34 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 10
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c433t-e897ec07ed2866bfab4190ece9f50c596256290a32001d15e6342679e11c9a0f3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ORCID 0000-0002-6552-4329
0000-0001-8595-3043
0000-0003-2634-0460
0000-0003-4165-8565
OpenAccessLink https://doaj.org/article/e207105351124af1a5267eadef8658f9
PQID 2819482079
PQPubID 2032338
ParticipantIDs doaj_primary_oai_doaj_org_article_e207105351124af1a5267eadef8658f9
proquest_miscellaneous_3040431503
proquest_journals_2819482079
gale_infotracacademiconefile_A752657997
crossref_primary_10_3390_rs15102540
crossref_citationtrail_10_3390_rs15102540
PublicationCentury 2000
PublicationDate 2023-05-12
PublicationDateYYYYMMDD 2023-05-12
PublicationDate_xml – month: 05
  year: 2023
  text: 2023-05-12
  day: 12
PublicationDecade 2020
PublicationPlace Basel
PublicationPlace_xml – name: Basel
PublicationTitle Remote sensing (Basel, Switzerland)
PublicationYear 2023
Publisher MDPI AG
Publisher_xml – name: MDPI AG
References ref_94
ref_139
ref_138
Metternicht (ref_12) 2003; 85
Hussain (ref_107) 2008; 3
ref_13
ref_99
Sahbeni (ref_125) 2022; 2
ref_10
ref_98
ref_133
ref_132
Singh (ref_14) 2022; 38
ref_96
ref_135
Allbed (ref_71) 2013; 2
Koch (ref_90) 2010; 158
ref_19
Lei (ref_131) 2023; 277
ref_16
Daliakopoulos (ref_91) 2016; 573
Merembayev (ref_23) 2022; 23
Goldshleger (ref_60) 2013; 34
Hassani (ref_9) 2021; 12
Xiao (ref_127) 2023; 204
Bakacsi (ref_51) 2019; 68
Nguyen (ref_63) 2020; 7
Guo (ref_70) 2019; 10
ref_129
Corwin (ref_7) 2020; 72
Zakeri (ref_124) 2021; 259
ref_120
ref_122
ref_123
Taghadosi (ref_15) 2018; 40
Chen (ref_80) 2022; 10
ref_29
Wei (ref_114) 2020; 716
ref_28
Asfaw (ref_108) 2018; 17
Ma (ref_170) 2023; 13
Salas (ref_164) 2021; 7
Ivushkin (ref_101) 2019; 231
Ouchi (ref_26) 2013; 5
ref_72
ref_159
Kholdorov (ref_97) 2022; 1068
Shahrayini (ref_34) 2022; 27
ref_151
Ding (ref_152) 2014; 235–236
Ma (ref_67) 2021; 2
ref_76
ref_155
ref_75
Turner (ref_150) 2014; 346
ref_154
Gorji (ref_84) 2015; 15
ref_157
ref_73
Rajakumari (ref_62) 2022; 53
Masoud (ref_52) 2019; 83
Zare (ref_113) 2019; 152
ref_160
Ngabire (ref_137) 2022; 23
Hong (ref_77) 2020; 6
Azabdaftari (ref_17) 2016; XLI-B7
ref_82
ref_81
Aksoy (ref_171) 2021; 69
ref_140
ref_89
ref_88
ref_86
ref_85
Guan (ref_141) 2013; 58
ref_146
Metternicht (ref_57) 1997; 18
Shrestha (ref_53) 2021; 5
Corwin (ref_11) 2019; 158
Fan (ref_162) 2016; 52
Meng (ref_168) 2022; 425
Khan (ref_25) 2005; 77
Wang (ref_39) 2019; 52
Smanov (ref_24) 2023; 24
Turhan (ref_83) 2008; 7
Li (ref_56) 2021; 11
Alqasemi (ref_111) 2021; 13
Wu (ref_61) 2018; 82
Garajeh (ref_126) 2021; 778
Lekka (ref_50) 2023; 195
Elnaggar (ref_148) 2010; 2
Peng (ref_119) 2019; 337
ref_59
Jiang (ref_142) 2018; 40
Howari (ref_55) 2002; 31
Wu (ref_149) 2008; 8
ref_169
Li (ref_128) 2019; 29
Corwin (ref_105) 2019; 83
Hihi (ref_136) 2019; 8
ref_69
Sarker (ref_35) 2021; 2
ref_68
Guo (ref_153) 2022; 14
ref_161
Breiman (ref_36) 2001; 45
ref_66
ref_163
ref_65
ref_165
Zhang (ref_166) 2017; 16
ref_167
Wu (ref_30) 2022; 60
Ma (ref_93) 2017; 305
Scudiero (ref_43) 2016; 4
Nex (ref_173) 2022; 184
Gao (ref_172) 2017; 7
Singh (ref_106) 2021; 277
Frampton (ref_74) 2013; 82
ref_115
Weng (ref_78) 2010; 20
Aljughaiman (ref_49) 2020; 12
Jiang (ref_79) 2017; 11
ref_117
ref_116
Mohamed (ref_54) 2022; 75
ref_118
Shrivastava (ref_5) 2015; 22
ref_33
ref_31
ref_110
Sahbeni (ref_121) 2022; 11
Sahbeni (ref_21) 2021; 13
Ramos (ref_64) 2020; 241
Sahbeni (ref_47) 2021; 3
(ref_144) 2014; 71
ref_37
Dehni (ref_32) 2012; 33
Bannari (ref_58) 2008; 39
Scudiero (ref_95) 2015; 169
ref_104
Thiam (ref_156) 2021; 193
Barrett (ref_27) 2009; 1
ref_103
Wang (ref_92) 2021; 775
Vermeulen (ref_38) 2017; 299
Boettinger (ref_158) 2010; Volume 2
ref_109
Matinfar (ref_145) 2016; 6
Aceves (ref_22) 2019; 28
ref_46
Ge (ref_134) 2022; 212
ref_45
Elmetwalli (ref_112) 2012; 3
Avdan (ref_20) 2022; 128
ref_44
Abuelgasim (ref_18) 2019; 13
ref_100
ref_42
ref_41
ref_102
Morgan (ref_143) 2018; 52
ref_40
ref_1
Gharsallah (ref_87) 2022; 17
ref_3
ref_2
Mohammadifar (ref_147) 2022; 12
ref_48
ref_8
Burke (ref_130) 1997; 21
ref_4
ref_6
References_xml – ident: ref_132
  doi: 10.3390/land11101784
– volume: 11
  start-page: 102
  year: 2022
  ident: ref_121
  article-title: Spatial Modeling of Soil Salinity Using Kriging Interpolation Techniques: A Study Case in the Great Hungarian Plain
  publication-title: Eurasian J. Soil Sci.
– volume: 45
  start-page: 5
  year: 2001
  ident: ref_36
  article-title: Random forests
  publication-title: Mach. Learn.
  doi: 10.1023/A:1010933404324
– ident: ref_115
  doi: 10.3390/app122010550
– ident: ref_76
  doi: 10.3390/rs9010042
– ident: ref_100
– volume: 21
  start-page: 549
  year: 1997
  ident: ref_130
  article-title: Remote sensing of soil-vegetation- atmosphere transfer processes
  publication-title: Prog. Phys. Geogr. Earth Environ.
  doi: 10.1177/030913339702100404
– volume: 83
  start-page: 101944
  year: 2019
  ident: ref_52
  article-title: Mapping Soil Salinity Using Spectral Mixture Analysis of Landsat 8 OLI Images to Identify Factors Influencing Salinization in an Arid Region
  publication-title: Int. J. Appl. Earth Obs. Geoinform.
– ident: ref_86
  doi: 10.1371/journal.pone.0266915
– volume: 11
  start-page: 9746
  year: 2021
  ident: ref_56
  article-title: Characteristics of Soil Salt Crust Formed by Mixing Calcium Chloride with Sodium Sulfate and the Possibility of Inhibiting Wind-Sand Flow
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-021-89151-1
– volume: 8
  start-page: 77
  year: 2019
  ident: ref_136
  article-title: Prediction of Soil Salinity Using Remote Sensing Tools and Linear Regression Model
  publication-title: Adv. Remote Sens.
  doi: 10.4236/ars.2019.83005
– volume: 33
  start-page: 188
  year: 2012
  ident: ref_32
  article-title: Remote Sensing Techniques for Salt-Affected Soil Mapping: Application to the Oran Region of Algeria
  publication-title: Procedia Eng.
  doi: 10.1016/j.proeng.2012.01.1193
– volume: 40
  start-page: 284
  year: 2018
  ident: ref_142
  article-title: Quantitative Assessment of Soil Salinity Using Multi-Source Remote Sensing Data Based on the Support Vector Machine and Artificial Neural Network
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/01431161.2018.1513180
– ident: ref_45
  doi: 10.3390/rs13020305
– ident: ref_1
– volume: 716
  start-page: 135387
  year: 2020
  ident: ref_114
  article-title: Updated information on soil salinity in a typical oasis agroecosystem and desert-oasis ecotone: Case study conducted along the Tarim River, China
  publication-title: Sci. Total Environ.
  doi: 10.1016/j.scitotenv.2019.135387
– volume: 13
  start-page: 2754
  year: 2023
  ident: ref_170
  article-title: Investigation of the spatial and temporal variation of soil salinity using Google Earth Engine: A case study at Werigan–Kuqa Oasis, West China
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-023-27760-8
– volume: 27
  start-page: 901
  year: 2022
  ident: ref_34
  article-title: Modeling and Mapping of Soil Salinity and Alkalinity Using Remote Sensing Data and Topographic Factors: A Case Study in Iran
  publication-title: Environ. Model. Assess
  doi: 10.1007/s10666-022-09823-8
– volume: 12
  start-page: 6663
  year: 2021
  ident: ref_9
  article-title: Global Predictions of Primary Soil Salinization under Changing Climate in the 21st Century
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-021-26907-3
– volume: 7
  start-page: e07439
  year: 2021
  ident: ref_164
  article-title: Assessing the effectiveness of ground truth data to capture landscape variability from an agricultural region using gaussian simulation and geostatistical techniques
  publication-title: Heliyon
  doi: 10.1016/j.heliyon.2021.e07439
– volume: 277
  start-page: 111383
  year: 2021
  ident: ref_106
  article-title: Soil Salinization Management for Sustainable Development: A Review
  publication-title: J. Environ. Manag.
  doi: 10.1016/j.jenvman.2020.111383
– volume: 2
  start-page: 177
  year: 2021
  ident: ref_67
  article-title: Digital mapping of soil salinization based on Sentinel-1 and Sentinel-2 data combined with machine learning algorithms
  publication-title: Reg. Sustain.
– volume: 235–236
  start-page: 316
  year: 2014
  ident: ref_152
  article-title: Monitoring and evaluating spatial variability of soil salinity in dry and wet seasons in the werigan–kuqa oasis, China, using remote sensing and electromagnetic induction instruments
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2014.07.028
– ident: ref_75
  doi: 10.1109/IGARSS.2013.6723791
– volume: 1068
  start-page: 012037
  year: 2022
  ident: ref_97
  article-title: Soil salinity assessment research using remote sensing techniques: A special focus on recent research
  publication-title: IOP Conf. Ser. Earth Environ. Sci.
  doi: 10.1088/1755-1315/1068/1/012037
– volume: 4
  start-page: 65
  year: 2016
  ident: ref_43
  article-title: Moving Forward on Remote Sensing of Soil Salinity at Regional Scale
  publication-title: Front. Environ. Sci.
  doi: 10.3389/fenvs.2016.00065
– volume: 6
  start-page: 2487
  year: 2020
  ident: ref_77
  article-title: Hyperspectral remote sensing for extraction of soil salinization in the northern region of Ningxia
  publication-title: Model. Earth Syst. Environ.
  doi: 10.1007/s40808-020-00829-3
– volume: 337
  start-page: 1309
  year: 2019
  ident: ref_119
  article-title: Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2018.08.006
– volume: 82
  start-page: 1259
  year: 2018
  ident: ref_61
  article-title: Mapping the Salt Content in Soil Profiles Using Vis-NIR Hyperspectral Imaging
  publication-title: Soil Sci. Soc. Am. J.
  doi: 10.2136/sssaj2018.02.0074
– ident: ref_16
  doi: 10.3390/w12030880
– volume: 10
  start-page: 1863
  year: 2019
  ident: ref_70
  article-title: Salinization Information Extraction Model Based on VI–SI Feature Space Combinations in the Yellow River Delta Based on Landsat 8 OLI Image. Geomat
  publication-title: Nat. Haz. Risk
  doi: 10.1080/19475705.2019.1650125
– ident: ref_122
  doi: 10.3390/agronomy12081858
– ident: ref_103
– volume: 2
  start-page: 160
  year: 2021
  ident: ref_35
  article-title: Machine Learning: Algorithms, Real-World Applications and Research Directions
  publication-title: SN Comput. Sci.
  doi: 10.1007/s42979-021-00592-x
– volume: 212
  start-page: 106054
  year: 2022
  ident: ref_134
  article-title: Updated soil salinity with fine spatial resolution and high accuracy: The synergy of sentinel-2 MSI, environmental covariates and hybrid machine learning approaches
  publication-title: CATENA
  doi: 10.1016/j.catena.2022.106054
– ident: ref_3
  doi: 10.3390/land10121377
– ident: ref_68
  doi: 10.3390/rs13020250
– volume: 52
  start-page: 32
  year: 2016
  ident: ref_162
  article-title: Towards decadal soil salinity mapping using Landsat time series data
  publication-title: Int. J. Appl. Earth Obs. Geoinf.
– volume: 83
  start-page: 1
  year: 2019
  ident: ref_105
  article-title: Measurement of soil salinity: Electrical conductivity and total dissolved solids
  publication-title: Soil Sci. Soc. Am. J.
  doi: 10.2136/sssaj2018.06.0221
– ident: ref_120
  doi: 10.3390/rs14184448
– volume: 75
  start-page: 295
  year: 2022
  ident: ref_54
  article-title: Soil salinity mapping using remote sensing and GIS
  publication-title: Geomatica
– volume: 204
  start-page: 107512
  year: 2023
  ident: ref_127
  article-title: Prediction of soil salinity parameters using machine learning models in an arid region of Northwest China
  publication-title: Comput. Electron. Agric.
  doi: 10.1016/j.compag.2022.107512
– volume: 52
  start-page: 524
  year: 2018
  ident: ref_143
  article-title: Soil Salinity Mapping Utilizing Sentinel-2 and Neural Networks
  publication-title: Indian J. Agric. Res.
– volume: XLI-B7
  start-page: 3
  year: 2016
  ident: ref_17
  article-title: Soil Salinity Mapping Using Multitemporal Landsat Data
  publication-title: Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.
  doi: 10.5194/isprs-archives-XLI-B7-3-2016
– ident: ref_157
  doi: 10.3390/rs14225639
– volume: 22
  start-page: 123
  year: 2015
  ident: ref_5
  article-title: Soil salinity: A serious environmental issue and plant growth promoting bacteria as one of the tools for its alleviation
  publication-title: Saudi J. Biol. Sci.
  doi: 10.1016/j.sjbs.2014.12.001
– volume: 5
  start-page: 100290
  year: 2021
  ident: ref_53
  article-title: Investigating Remote Sensing Properties for Soil Salinity Mapping: A Case Study in Korat Province of Thailand
  publication-title: Environ. Chall.
  doi: 10.1016/j.envc.2021.100290
– volume: 1
  start-page: 210
  year: 2009
  ident: ref_27
  article-title: Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques
  publication-title: Remote Sens.
  doi: 10.3390/rs1030210
– ident: ref_66
  doi: 10.3390/rs11070736
– volume: 3
  start-page: 363
  year: 2012
  ident: ref_112
  article-title: Detecting and distinguishing moisture-and salinity-induced stress in wheat and maize through in situ spectroradiometry measurements
  publication-title: Remote Sens. Lett.
  doi: 10.1080/01431161.2011.599346
– volume: 158
  start-page: 55
  year: 2010
  ident: ref_90
  article-title: Applying Imaging Spectroscopy Techniques to Map Saline Soils with ASTER Images
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2010.02.015
– volume: 573
  start-page: 727
  year: 2016
  ident: ref_91
  article-title: The threat of soil salinity: A European scale review
  publication-title: Sci. Total Environ.
  doi: 10.1016/j.scitotenv.2016.08.177
– ident: ref_109
  doi: 10.3390/w14071158
– ident: ref_123
  doi: 10.3390/land11101697
– ident: ref_28
  doi: 10.5194/hess-2019-294
– volume: 52
  start-page: 256
  year: 2019
  ident: ref_39
  article-title: Comparison of machine learning algorithms for soil salinity predictions in three dryland oases located in Xinjiang Uyghur Autonomous Region (XJUAR) of China
  publication-title: Eur. J. Remote Sens.
  doi: 10.1080/22797254.2019.1596756
– ident: ref_85
  doi: 10.3390/agriculture12091490
– volume: 12
  start-page: 220
  year: 2020
  ident: ref_49
  article-title: Land use/land cover assessment as related to soil and irrigation water salinity over an oasis in arid environment
  publication-title: Open Geosci.
  doi: 10.1515/geo-2020-0103
– ident: ref_88
  doi: 10.3390/rs11121443
– ident: ref_110
  doi: 10.3390/rs14071606
– volume: 72
  start-page: 842
  year: 2020
  ident: ref_7
  article-title: Climate Change Impacts on Soil Salinity in Agricultural Areas
  publication-title: Eur. J. Soil Sci.
  doi: 10.1111/ejss.13010
– volume: 16
  start-page: 2871
  year: 2017
  ident: ref_166
  article-title: Recent Progress and Future Prospect of Digital Soil Mapping: A Review
  publication-title: J. Integr. Agric.
  doi: 10.1016/S2095-3119(17)61762-3
– ident: ref_118
  doi: 10.1016/B978-1-55860-307-3.50037-X
– volume: 38
  start-page: 39
  year: 2022
  ident: ref_14
  article-title: Soil salinity: A global threat to sustainable development
  publication-title: Soil Use Manag.
  doi: 10.1111/sum.12772
– ident: ref_59
  doi: 10.1109/Agro-Geoinformatics55649.2022.9858969
– volume: 184
  start-page: 215
  year: 2022
  ident: ref_173
  article-title: UAV in the Advent of the Twenties: Where We Stand and What Is Next
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2021.12.006
– ident: ref_6
– ident: ref_46
  doi: 10.1007/978-3-030-21344-2
– volume: 29
  start-page: 784
  year: 2019
  ident: ref_128
  article-title: Spatial prediction of soil salinity in a Semi-arid Oasis: Environmental Sensitive Variable Selection and Model Comparison
  publication-title: Chin. Geogr. Sci.
  doi: 10.1007/s11769-019-1071-x
– volume: 128
  start-page: 103230
  year: 2022
  ident: ref_20
  article-title: Soil salinity prediction models constructed by different remote sensors
  publication-title: Phys. Chem. Earth
  doi: 10.1016/j.pce.2022.103230
– volume: 60
  start-page: 1
  year: 2022
  ident: ref_30
  article-title: Analysis of Low-Frequency Drone-Borne GPR for Root-Zone Soil Electrical Conductivity Characterization
  publication-title: IEEE Trans. Geosci. Remote Sens.
  doi: 10.1109/TGRS.2022.3228927
– volume: 20
  start-page: 378
  year: 2010
  ident: ref_78
  article-title: A Spectral Index for Estimating Soil Salinity in the Yellow River Delta Region of China Using EO-1 Hyperion Data
  publication-title: Pedosphere
  doi: 10.1016/S1002-0160(10)60027-6
– ident: ref_165
  doi: 10.3390/s18124418
– volume: 158
  start-page: 1
  year: 2019
  ident: ref_11
  article-title: Review of Soil Salinity Assessment for Agriculture across Multiple Scales Using Proximal and/or Remote Sensors
  publication-title: Adv. Agron.
  doi: 10.1016/bs.agron.2019.07.001
– volume: 28
  start-page: 1549
  year: 2019
  ident: ref_22
  article-title: Determining Salinity and Ion Soil Using Satellite Image Processing
  publication-title: Pol. J. Environ. Stud.
  doi: 10.15244/pjoes/81693
– ident: ref_163
  doi: 10.3390/rs13173402
– ident: ref_72
  doi: 10.5772/intechopen.71049
– volume: 7
  start-page: 761
  year: 2008
  ident: ref_83
  article-title: Assessment of the Effect of Salinity on the Early Growth Stage of the Common Sunflower (Sanay Cultivar) Using Spectral Discrimination Techniques
  publication-title: Afr. J. Biotechnol.
– volume: 77
  start-page: 96
  year: 2005
  ident: ref_25
  article-title: Assessment of Hydro Saline Land Degradation by Using a Simple Approach of Remote Sensing Indicators
  publication-title: Agric. Water Manag.
  doi: 10.1016/j.agwat.2004.09.038
– volume: 2
  start-page: 151
  year: 2010
  ident: ref_148
  article-title: Application of Remote-sensing Data and Decision-Tree Analysis to Mapping Salt-Affected Soils over Large Areas
  publication-title: Remote Sens.
  doi: 10.3390/rs2010151
– ident: ref_42
  doi: 10.3390/rs14081863
– volume: 778
  start-page: 146253
  year: 2021
  ident: ref_126
  article-title: An automated deep learning convolutional neural network algorithm applied for soil salinity distribution mapping in Lake Urmia, Iran
  publication-title: Sci. Total Environ.
  doi: 10.1016/j.scitotenv.2021.146253
– volume: 82
  start-page: 83
  year: 2013
  ident: ref_74
  article-title: Evaluating the Capabilities of Sentinel-2 for Quantitative Estimation of Biophysical Variables in Vegetation
  publication-title: ISPRS J. Photogramm. Remote Sens.
  doi: 10.1016/j.isprsjprs.2013.04.007
– volume: 58
  start-page: 719
  year: 2013
  ident: ref_141
  article-title: Dynamic Prediction of Soil Salinization in an Irrigation District Based on the Support Vector Machine
  publication-title: Math. Comput. Model.
  doi: 10.1016/j.mcm.2011.10.026
– ident: ref_4
  doi: 10.3390/land11122148
– ident: ref_146
  doi: 10.3390/rs14184647
– ident: ref_139
  doi: 10.3390/rs15071751
– volume: 14
  start-page: 95
  year: 2022
  ident: ref_153
  article-title: A novel remote sensing monitoring index of salinization based on three-dimensional feature space model and its application in the Yellow River Delta of China
  publication-title: Geomat. Nat. Hazards Risk
  doi: 10.1080/19475705.2022.2156820
– ident: ref_129
  doi: 10.3390/rs14133204
– volume: Volume 2
  start-page: 99
  year: 2010
  ident: ref_158
  article-title: The Use of Hyperspectral Imagery for Digital Soil Mapping in Mediterranean Areas
  publication-title: Digital Soil Mapping
– volume: 40
  start-page: 237
  year: 2018
  ident: ref_15
  article-title: Soil salinity mapping using dual-polarized SAR Sentinel-1 imagery
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/01431161.2018.1512767
– volume: 152
  start-page: 101
  year: 2019
  ident: ref_113
  article-title: Weakly-coupled geostatistical mapping of soil salinity to Stepwise Multiple Linear Regression of MODIS spectral image products
  publication-title: J. Afr. Earth Sci.
  doi: 10.1016/j.jafrearsci.2019.01.008
– volume: 17
  start-page: 15
  year: 2022
  ident: ref_87
  article-title: Assessment and mapping of soil salinity using electromagnetic induction and Landsat 8 OLI remote sensing data in an irrigated olive orchard under semi-arid conditions
  publication-title: Soil Water Res.
  doi: 10.17221/178/2020-SWR
– volume: 7
  start-page: 2
  year: 2020
  ident: ref_63
  article-title: Soil Salinity Assessment by Using Near-Infrared Channel and Vegetation Soil Salinity Index Derived from Landsat 8 OLI Data: A Case Study in the Tra Vinh Province, Mekong Delta, Vietnam
  publication-title: Prog. Earth Planet. Sci.
  doi: 10.1186/s40645-019-0311-0
– volume: 23
  start-page: 100618
  year: 2022
  ident: ref_137
  article-title: Soil Salinization Mapping across Different Sandy Land-Cover Types in the Shiyang River Basin: A Remote Sensing and Multiple Linear Regression Approach
  publication-title: Remote Sens. Appl. Soc. Environ.
– volume: 69
  start-page: 1072
  year: 2021
  ident: ref_171
  article-title: Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine Platform using Sentinel-2A and Landsat-8 OLI data
  publication-title: Adv. Space Res.
  doi: 10.1016/j.asr.2021.10.024
– ident: ref_81
  doi: 10.3390/rs10040598
– volume: 231
  start-page: 111260
  year: 2019
  ident: ref_101
  article-title: Global Mapping of Soil Salinity Change
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2019.111260
– volume: 13
  start-page: 977
  year: 2021
  ident: ref_21
  article-title: A PLSR model to predict soil salinity using Sentinel-2 MSI data
  publication-title: Open Geosci.
  doi: 10.1515/geo-2020-0286
– ident: ref_40
  doi: 10.1007/978-1-4020-6778-5
– volume: 6
  start-page: 334
  year: 2016
  ident: ref_145
  article-title: Efficiency of Spectral Indices Derived from Landsat-8 Images of Maharloo Lake and Its Surrounding Rangelands
  publication-title: J. Rangeland Sci.
– volume: 85
  start-page: 1
  year: 2003
  ident: ref_12
  article-title: Remote sensing of soil salinity: Potentials and constraints
  publication-title: Remote Sens. Environ.
  doi: 10.1016/S0034-4257(02)00188-8
– ident: ref_104
– ident: ref_33
  doi: 10.1109/M2GARSS52314.2022.9839716
– ident: ref_94
  doi: 10.3390/rs14112602
– ident: ref_98
– ident: ref_138
  doi: 10.3390/agriculture13050976
– ident: ref_155
  doi: 10.3390/rs12030426
– volume: 305
  start-page: 1
  year: 2017
  ident: ref_93
  article-title: Characterizing and modeling regional-scale variations in soil salinity in the arid oasis of Tarim Basin, China
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2017.05.016
– ident: ref_29
  doi: 10.3390/rs14020363
– volume: 3
  start-page: 587
  year: 2021
  ident: ref_47
  article-title: Soil Salinity Mapping Using Landsat 8 OLI Data and Regression Modeling in the Great Hungarian Plain
  publication-title: SN Appl. Sci.
  doi: 10.1007/s42452-021-04587-4
– ident: ref_8
– volume: 53
  start-page: 102435
  year: 2022
  ident: ref_62
  article-title: Building spectral catalogue for salt marsh vegetation, hyperspectral and multispectral remote sensing
  publication-title: Reg. Stud. Mar. Sci.
– volume: 68
  start-page: 141
  year: 2019
  ident: ref_51
  article-title: National level assessment of soil salinization and structural degradation risks under irrigation
  publication-title: Hung. Geogr. Bull.
  doi: 10.15201/hungeobull.68.2.3
– volume: 34
  start-page: 6079
  year: 2013
  ident: ref_60
  article-title: Predicting Salinity in Tomato Using Soil Reflectance Spectral
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/01431161.2013.793859
– ident: ref_161
  doi: 10.3390/rs14164080
– volume: 425
  start-page: 116065
  year: 2022
  ident: ref_168
  article-title: A new digital soil mapping method with temporal-spatial-spectral information derived from multi-source satellite images
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2022.116065
– ident: ref_117
  doi: 10.3390/app9081621
– volume: 7
  start-page: 8281
  year: 2017
  ident: ref_172
  article-title: High-Resolution Mapping Based on an Unmanned Aerial Vehicle (UAV) to Capture Paleo Seismic Offsets along the Altyn-Tagh Fault, China
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-017-08119-2
– volume: 193
  start-page: 259
  year: 2021
  ident: ref_156
  article-title: Monitoring land use and soil salinity changes in coastal landscape: A case study from Senegal
  publication-title: Environ. Monit. Assess.
  doi: 10.1007/s10661-021-08958-7
– ident: ref_19
  doi: 10.1371/journal.pone.0259695
– ident: ref_41
– ident: ref_159
  doi: 10.5194/egusphere-egu2020-3013
– ident: ref_96
  doi: 10.1007/978-981-15-2039-6
– ident: ref_154
  doi: 10.3390/w15091694
– volume: 5
  start-page: 716
  year: 2013
  ident: ref_26
  article-title: Recent Trend and Advance of Synthetic Aperture Radar with Selected Topics
  publication-title: Remote Sens.
  doi: 10.3390/rs5020716
– ident: ref_73
  doi: 10.3390/rs12142291
– volume: 13
  start-page: 415
  year: 2019
  ident: ref_18
  article-title: Mapping soil salinity in arid and semi-arid regions using Landsat 8 OLI satellite data
  publication-title: Remote Sens. Appl. Soc. Environ.
– ident: ref_102
  doi: 10.3390/rs12244073
– ident: ref_31
  doi: 10.3390/rs11020128
– volume: 23
  start-page: 61
  year: 2022
  ident: ref_23
  article-title: Soil Salinity Classification Using Machine Learning Algorithms and Radar Data in the Case from the South of Kazakhstan
  publication-title: J. Ecol. Eng.
  doi: 10.12911/22998993/152281
– volume: 299
  start-page: 1
  year: 2017
  ident: ref_38
  article-title: Machine learning performance for predicting soil salinity using different combinations of geomorphometric covariates
  publication-title: Geoderma
  doi: 10.1016/j.geoderma.2017.03.013
– ident: ref_169
  doi: 10.3390/rs14102301
– ident: ref_160
  doi: 10.3390/rs14030714
– volume: 11
  start-page: 016043
  year: 2017
  ident: ref_79
  article-title: Estimating soil salt components and salinity using hyperspectral remote sensing data in an arid area of China
  publication-title: J. Appl. Remote Sens.
  doi: 10.1117/1.JRS.11.016043
– volume: 24
  start-page: 146
  year: 2023
  ident: ref_24
  article-title: Mapping of Cornfield Soil Salinity in Arid and Semi-Arid Regions
  publication-title: J. Ecol. Eng.
  doi: 10.12911/22998993/155952
– volume: 2
  start-page: 1
  year: 2022
  ident: ref_125
  article-title: Machine Learning Models for Estimating Soil Salinity Using Sentinel-1 SAR and Landsat-8 OLI Data
  publication-title: J. Adv. Geospat. Sci. Technol.
– volume: 8
  start-page: 7035
  year: 2008
  ident: ref_149
  article-title: Remote Sensing Monitoring of Changes in Soil Salinity: A Case Study in Inner Mongolia, China
  publication-title: Sensors
  doi: 10.3390/s8117035
– volume: 31
  start-page: 1453
  year: 2002
  ident: ref_55
  article-title: Spectral Properties of Salt Crusts Formed on Saline Soils
  publication-title: J. Environ. Qual.
  doi: 10.2134/jeq2002.1453
– ident: ref_37
– ident: ref_89
  doi: 10.3390/agronomy11020203
– volume: 169
  start-page: 335
  year: 2015
  ident: ref_95
  article-title: Regional-scale soil salinity assessment using Landsat ETM+ canopy reflectance
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2015.08.026
– ident: ref_140
  doi: 10.3390/su15097452
– volume: 195
  start-page: 3
  year: 2023
  ident: ref_50
  article-title: Exploring the spatial patterns of soil salinity and organic carbon in agricultural areas of Lesvos Island, Greece, using Geoinformation Technologies
  publication-title: Environ. Monit. Assess.
  doi: 10.1007/s10661-023-10923-5
– volume: 39
  start-page: 2795
  year: 2008
  ident: ref_58
  article-title: Characterization of Slightly and Moderately Saline and Sodic Soils in Irrigated Agricultural Land using Simulated Data of Advanced Land Imaging (EO-1) Sensor
  publication-title: Commun. Soil Sci. Plant Anal.
  doi: 10.1080/00103620802432717
– volume: 17
  start-page: 250
  year: 2018
  ident: ref_108
  article-title: Soil salinity modeling and mapping using remote sensing and GIS: The case of Wonji sugar cane irrigation farm, Ethiopia
  publication-title: J. Saudi Soc. Agric. Sci.
– ident: ref_48
  doi: 10.1109/ATSIP55956.2022.9805954
– volume: 18
  start-page: 2571
  year: 1997
  ident: ref_57
  article-title: Spatial Discrimination of Salt- and Sodium-Affected Soil Surfaces
  publication-title: Int. J. Remote Sens.
  doi: 10.1080/014311697217486
– volume: 775
  start-page: 145807
  year: 2021
  ident: ref_92
  article-title: Regional suitability prediction of soil salinization based on remote-sensing derivatives and optimal spectral index
  publication-title: Sci. Total Environ.
  doi: 10.1016/j.scitotenv.2021.145807
– ident: ref_151
  doi: 10.3390/rs14133020
– ident: ref_116
– ident: ref_133
  doi: 10.3390/agronomy13020583
– volume: 2
  start-page: 404
  year: 2013
  ident: ref_71
  article-title: Soil Salinity Mapping and Monitoring in Arid and Semi-Arid Regions Using Remote Sensing Technology: A Review
  publication-title: Adv. Remote Sens.
– ident: ref_13
  doi: 10.5772/62589
– ident: ref_2
– volume: 12
  start-page: 15167
  year: 2022
  ident: ref_147
  article-title: Assessment of the Uncertainty and Interpretability of Deep Learning Models for Mapping Soil Salinity Using DeepQuantreg and Game Theory
  publication-title: Sci. Rep.
  doi: 10.1038/s41598-022-19357-4
– ident: ref_65
  doi: 10.1201/9781420065039
– volume: 15
  start-page: 507
  year: 2015
  ident: ref_84
  article-title: Soil Salinity Prediction, Monitoring and Mapping Using Modern Technologies
  publication-title: Procedia Earth Planet. Sci.
  doi: 10.1016/j.proeps.2015.08.062
– volume: 241
  start-page: 106387
  year: 2020
  ident: ref_64
  article-title: Soil salinity assessment using vegetation indices derived from Sentinel-2 multispectral data. Application to Lezíria Grande, Portugal
  publication-title: Agric. Water Manag.
  doi: 10.1016/j.agwat.2020.106387
– volume: 71
  start-page: 324
  year: 2014
  ident: ref_144
  article-title: Spectral Indices for the Detection of Salinity Effects in Melon Plants
  publication-title: Sci. Agric.
  doi: 10.1590/0103-9016-2013-0338
– volume: 10
  start-page: e13306
  year: 2022
  ident: ref_80
  article-title: Radar remote sensing-based inversion model of soil salt content at different depths under vegetation
  publication-title: PeerJ
  doi: 10.7717/peerj.13306
– volume: 13
  start-page: 443
  year: 2021
  ident: ref_111
  article-title: Detection and Modeling of Soil Salinity Variations in Arid Lands Using Remote Sensing Data
  publication-title: Open Geosci.
  doi: 10.1515/geo-2020-0244
– ident: ref_10
  doi: 10.1007/978-981-13-5832-6
– ident: ref_135
  doi: 10.3390/rs14112599
– volume: 259
  start-page: 112381
  year: 2021
  ident: ref_124
  article-title: A review of geostatistical simulation models applied to satellite remote sensing: Methods and applications
  publication-title: Remote Sens. Environ.
  doi: 10.1016/j.rse.2021.112381
– ident: ref_44
  doi: 10.1371/journal.pone.0228494
– volume: 346
  start-page: 301
  year: 2014
  ident: ref_150
  article-title: Sensing Biodiversity
  publication-title: Science
  doi: 10.1126/science.1256014
– ident: ref_82
  doi: 10.3390/agronomy11061038
– ident: ref_69
  doi: 10.3390/s22020546
– volume: 277
  start-page: 108115
  year: 2023
  ident: ref_131
  article-title: A comparison of physical-based and machine learning modeling for soil salt dynamics in crop fields
  publication-title: Agric. Water Manag.
  doi: 10.1016/j.agwat.2022.108115
– ident: ref_167
  doi: 10.3390/rs12091369
– volume: 3
  start-page: 92
  year: 2008
  ident: ref_107
  article-title: Salinity sensor: A reliable tool for monitoring in situ soil salinity under saline irrigation
  publication-title: Int. J. Soil Sci.
  doi: 10.3923/ijss.2008.92.100
– ident: ref_99
SSID ssj0000331904
Score 2.5932252
SecondaryResourceType review_article
Snippet Meeting current needs without compromising future generations’ ability to meet theirs is the only path toward achieving environmental sustainability. As the...
SourceID doaj
proquest
gale
crossref
SourceType Open Website
Aggregation Database
Enrichment Source
Index Database
StartPage 2540
SubjectTerms Agricultural production
agricultural productivity
Arid regions
Arid zones
climate
Climate change
Climate variability
Comparative analysis
Data processing
Decision making
Distribution
Ecological balance
Ecology
environmental sustainability
Food security
Information retrieval
Laboratories
Land surveys
Land use planning
Machine learning
Mapping
Measurement
Moisture content
monitoring
Natural resources
Radiation
Regression analysis
Remote monitoring
Remote sensing
Remote sensing systems
Researchers
Resource management
Reviews
Salinity
Salinization
salinization mapping
Sensors
soil
Soil mapping
soil resource management
Soil salinity
soil salinization
Soils
Soils, Salts in
Sustainability
Sustainable agriculture
Topography
Vegetation
SummonAdditionalLinks – databaseName: Engineering Database
  dbid: M7S
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3fi9QwEB70VPTFH-eJ1VMiCuJDuTRpN40vsh53-OIprsK9hTRN1oWjXbe7wv33zqTZPQT1xce2Q0g7k-RrZvJ9AK8QAljECUUeZNnkpUNf2ErXuRdWuaoVqhFNFJtQZ2f1-bn-nDbchlRWuZ0T40Td9o72yI8o4VPicqX0u-WPnFSjKLuaJDSuww1iSShi6d5st8fCJQYYL0dWUol_90erAa3oADj_bR2KdP1_m5TjSnN673_7eB_uJozJpmNQPIBrvtuHWyeRn_pyH24n4fPvlw_BH2_FVAZmu5Z9WhIe33SRZ5UtOvbFoy89m1GdezdnCHHZrF9csJmlI5XjGU720RLLwzy2ME4StFv4lk3ZmHo4gG-nJ1-PP-RJeSF3pZTr3NdaeceVb0U9mTTBNiV-SO-8DhV3JNiDsElzK6kiqy0qP5G40ivti8Jpy4N8BHtd3_nHwCZVGxounOChLENVNNqHFq98QLAnhM3gzdYPxiVaclLHuDD4e0I-M1c-y-DlznY5knH80eo9uXNnQQTa8Ua_mps0Ho0XhK0qSqOK0obCVth_Kh4PNWKyoDN4TcFgaJhjd5xNpxXwpYgwy0wV6QoorVUGh9tgMGn8D-YqEjJ4sXuMI5fSMbbz_WYwkkdmo4rLJ_9u4incIZF7qlkoxCHsrVcb_wxuup_rxbB6HkP-F95JCYU
  priority: 102
  providerName: ProQuest
Title Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review
URI https://www.proquest.com/docview/2819482079
https://www.proquest.com/docview/3040431503
https://doaj.org/article/e207105351124af1a5267eadef8658f9
Volume 15
WOSCitedRecordID wos000996932400001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2072-4292
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331904
  issn: 2072-4292
  databaseCode: DOA
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2072-4292
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331904
  issn: 2072-4292
  databaseCode: M~E
  dateStart: 20090101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
– providerCode: PRVPQU
  databaseName: Advanced Technologies & Aerospace Database
  customDbUrl:
  eissn: 2072-4292
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331904
  issn: 2072-4292
  databaseCode: P5Z
  dateStart: 20090301
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/hightechjournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Earth, Atmospheric & Aquatic Science Database
  customDbUrl:
  eissn: 2072-4292
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331904
  issn: 2072-4292
  databaseCode: PCBAR
  dateStart: 20090301
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/eaasdb
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Engineering Database
  customDbUrl:
  eissn: 2072-4292
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331904
  issn: 2072-4292
  databaseCode: M7S
  dateStart: 20090301
  isFulltext: true
  titleUrlDefault: http://search.proquest.com
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 2072-4292
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331904
  issn: 2072-4292
  databaseCode: BENPR
  dateStart: 20090301
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Publicly Available Content Database
  customDbUrl:
  eissn: 2072-4292
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0000331904
  issn: 2072-4292
  databaseCode: PIMPY
  dateStart: 20090301
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/publiccontent
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3PaxQxFA7SCnqR-gtH6xJREA9DM8lkMvG2LVv00HXoKlQvIZNJ6kKZLTu7hV76t_e9zOxaQfHiJTCTMCQvL3kvk_e-j5B34AJY8BOyNIi8TnMHc2GlLlPPrXKy4armdSSbUNNpeXamqztUXxgT1sMD94I78ByNoMT7Lp7bkFnJC4VRvqEE4xli6h5T-s5hKu7BAlSL5T0eqYBz_cGyA9uGqd_sNwsUgfr_th1HG3O8Rx4NziEd9516TO759gl5MPCU_7x-SvzRhvuko7Zt6JdLdJ_XbYRFpfOWnnoQvaczDEtvzyl4pHS2mF_QmcUMyD7lkp5YBGU4j1_o1zT-3PtIx7S_KXhGvh1Pvh59SgeihNTlQqxSX2rlHVO-4WVR1MHWOYzeO6-DZA75dcDL0cwKDKBqMukLAYZZaZ9lTlsWxHOy0y5a_4LQQjahZtxxFvI8yKzWPjTw5AP4ZpzbhHzYCM-4AUUcySwuDJwmUNDml6AT8nbb9rLHzvhjq0Ocg20LxLuOL0ALzKAF5l9akJD3OIMGVyV0x9khuQAGhfhWZqyQBkBprRKyv5lkMyzXzuBtYl6iHiXkzbYaFhrentjWL9adESwCEUkmXv6PHr8iD5G5HgMRMr5PdlbLtX9N7rur1bxbjsju4WRanY6iVo8wIHWG5c0Eykr-gPrq80n1_RZDN_4m
linkProvider Directory of Open Access Journals
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFD4aHWi8cBkgCgOMACEeojl20tRICJWxadXWUrEhjSfjOHapNKWlaUH9U_xGzsmlExLwtgce01hWEn8957PP5QN4jhTAIE8IAy-jNIgsroWJVTdwwiQ2zkSSirQUm0iGw-7ZmRptwM-mFobSKhubWBrqbGrpjHyXAj4RuqtEvZ19C0g1iqKrjYRGBYsjt_qBW7biTf89ru8LIQ72T_cOg1pVILCRlIvAdVXiLE9cJrqdTupNGqFTdNYpH3NLYjRICRQ3krKNsjB2HYleLFEuDK0y3Euc9wpsRgT2FmyO-oPR5_WpDpcIaR5VfVClVHx3XqBPpZJz_pvnKwUC_uYGSt92cPN_-yq34EbNolmvgv1t2HD5NlzbLztwr7Zhq5Z2_7q6A26vkYspmMkz9mFGO45lXnaSZZOcfXSIVsdOKJM_HzMk8exkOjlnJ4aKRqsqVTYw1MdiXM5QmUE6D33NeqwKrtyFT5fyvveglU9zdx9YJ858yoUV3EeRj8NUOZ_hlfNIZ4UwbXjVrLu2deN10v8417gBI4zoC4y04dl67KxqN_LHUe8IPusR1CK8_GE6H-va4mgniD3GFCgWkfGhifH5KT3ed5F1etWGlwQ-TYYMH8eauh4DX4paguleQsoJiVJJG3Ya8OnawhX6AnlteLq-jbaJAk4md9NloSUvezfFXD749xRPYOvwdHCsj_vDo4dwXSCRpAyNUOxAazFfukdw1X5fTIr54_oPx-DLZaP5F33bZfQ
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lj9MwEB4ty_PCYwFRWMAIEOIQ1bGTOkZCqOxuxWqhVBSkFZfgOHaptEpL04L61_h1zOTRFRJw2wPHJJaVx5eZsWfm-wCeYAhgME4IAy-jLIgsfgsT6yRwwigb50JlIqvEJtRwmBwf69EW_Gx7YaissrWJlaHOZ5b2yLuU8InQXSnd9U1ZxGh_8Gr-LSAFKcq0tnIaNUSO3PoHLt_Kl4f7-K2fCjE4-Lj3JmgUBgIbSbkMXKKVs1y5XCS9XuZNFqGDdNZpH3NLwjQYHmhuJFUe5WHsehI9mtIuDK023Euc9xycV7jGpHLCUfx5s7_DJYKbRzUjqpSadxcleldqPue_-cBKKuBvDqHycoNr__P7uQ5Xm9ia9euf4QZsuWIHLh5UvNzrHbjcCL5_Xd8Et9eKyJTMFDl7P6d1yKqo-GXZtGAfHGLYsTHV9xcThqE9G8-mJ2xsqJW07l1l7wyxW0yqGWrjSLukL1if1SmXW_DpTJ73NmwXs8LdAdaLc59xYQX3UeTjMNPO53jkPAa5QpgOPG8xkNqGjp1UQU5SXJYRXtJTvHTg8WbsvCYh-eOo1wSlzQgiDq9OzBaTtLFDqRMUU8aUPhaR8aGJ8f6paN4nGIt63YFnBMSUzBvejjVNlwY-FBGFpX1FegpKa9WB3RaIaWP3yvQUhR14tLmMFovSUKZws1WZSl4xOsVc3v33FA_hEkI4fXs4PLoHVwRGl1S2EYpd2F4uVu4-XLDfl9Ny8aD68xh8OWso_wKrM21X
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Challenges+and+Opportunities+in+Remote+Sensing+for+Soil+Salinization+Mapping+and+Monitoring%3A+A+Review&rft.jtitle=Remote+sensing+%28Basel%2C+Switzerland%29&rft.au=Ghada+Sahbeni&rft.au=Maurice+Ngabire&rft.au=Peter+K.+Musyimi&rft.au=Bal%C3%A1zs+Sz%C3%A9kely&rft.date=2023-05-12&rft.pub=MDPI+AG&rft.eissn=2072-4292&rft.volume=15&rft.issue=10&rft.spage=2540&rft_id=info:doi/10.3390%2Frs15102540&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_e207105351124af1a5267eadef8658f9
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2072-4292&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2072-4292&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2072-4292&client=summon