A new remote sensing index of mildew for winter wheat disaster area extraction
Disasters caused by winter wheat mildew affect the quality and safety of grain. The purpose of this study was to construct a winter wheat mildew index based on multispectral remote sensing data combined with an automatic threshold segmentation algorithm to quickly extract the area affected by winter...
Uloženo v:
| Vydáno v: | International journal of digital earth Ročník 18; číslo 2 |
|---|---|
| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Taylor & Francis Group
31.12.2025
|
| Témata: | |
| ISSN: | 1753-8947, 1753-8955 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Disasters caused by winter wheat mildew affect the quality and safety of grain. The purpose of this study was to construct a winter wheat mildew index based on multispectral remote sensing data combined with an automatic threshold segmentation algorithm to quickly extract the area affected by winter wheat mildew. Research has shown that the spectrum of winter wheat strongly absorbs after mildew. On the basis of this spectral feature difference, the ‘area method’ is used to construct the wheat mildew index to enhance the separability between normal wheat and mildewed wheat. Five threshold segmentation algorithms are used to automatically extract the mildewed wheat region, and the Otsu threshold segmentation algorithm and iterative threshold segmentation algorithm achieve the best performance. The results show that the overall accuracy of the wheat mildew index combined with the automatic threshold segmentation algorithm is similar to that of the random forest and support vector machine (SVM) classification methods, but the extraction process is greatly simplified. In addition, the extraction of mildewed wheat combined with an automatic threshold segmentation algorithm can effectively avoid the problem of unstable extraction accuracy caused by specific threshold segmentations. |
|---|---|
| AbstractList | Disasters caused by winter wheat mildew affect the quality and safety of grain. The purpose of this study was to construct a winter wheat mildew index based on multispectral remote sensing data combined with an automatic threshold segmentation algorithm to quickly extract the area affected by winter wheat mildew. Research has shown that the spectrum of winter wheat strongly absorbs after mildew. On the basis of this spectral feature difference, the ‘area method’ is used to construct the wheat mildew index to enhance the separability between normal wheat and mildewed wheat. Five threshold segmentation algorithms are used to automatically extract the mildewed wheat region, and the Otsu threshold segmentation algorithm and iterative threshold segmentation algorithm achieve the best performance. The results show that the overall accuracy of the wheat mildew index combined with the automatic threshold segmentation algorithm is similar to that of the random forest and support vector machine (SVM) classification methods, but the extraction process is greatly simplified. In addition, the extraction of mildewed wheat combined with an automatic threshold segmentation algorithm can effectively avoid the problem of unstable extraction accuracy caused by specific threshold segmentations. |
| Author | Li, Huade Zhang, Jinshui Chen, Zhenghua Zhang, Mingwei |
| Author_xml | – sequence: 1 givenname: Huade surname: Li fullname: Li, Huade – sequence: 2 givenname: Jinshui surname: Zhang fullname: Zhang, Jinshui – sequence: 3 givenname: Zhenghua surname: Chen fullname: Chen, Zhenghua – sequence: 4 givenname: Mingwei surname: Zhang fullname: Zhang, Mingwei |
| BookMark | eNo9kM1OAjEUhRujiYA-gklfAGx725nOkhB_SIhudN305w6WwNS0k4BvLyPI6tx7TvItvjG57lKHhDxwNuNMs0deK9CNrGeCCTUTSkHdVFdkNPRT3Sh1fbllfUvGpWwYq5iUMCJvc9rhnmbcpR5pwa7Ebk1jF_BAU0t3cRuOc5sy3ceux2N8oe1piMWW4bUZLcVDn63vY-ruyE1rtwXvzzkhn89PH4vX6er9ZbmYr6YeeNVPvZRONy1zDrVUlYMKnALrKu8YAHAfODYCdABhg3BesVbWXmgtHIoGGpiQ5Ykbkt2Y7xx3Nv-YZKP5K1JeG5v76LdohKxqryG0nEvJj1yJASUIpwERBBxZ6sTyOZWSsb3wODODYPMv2AyCzVkw_AJYem96 |
| Cites_doi | 10.1016/j.compag.2025.110368 10.3390/rs11151768 10.1016/j.matcom.2023.12.037 10.1109/TPAMI.2002.1017616 10.1016/j.compag.2024.109621 10.3389/fpls.2023.1067189 10.1007/BF02295996 10.1109/TCE.2010.5681154 10.1016/S0034-4257(01)00295-4 10.1016/j.compag.2024.109285 10.1016/j.biosystemseng.2010.06.004 10.1109/RBME.2017.2715350 10.1016/j.scitotenv.2019.134584 10.1177/25.7.70454 10.1186/1471-2164-9-S2-S27 10.1109/MGRS.2017.2762307 10.1016/j.aap.2024.107457 10.1016/0734-189X(85)90125-2 10.1016/S0034-4257(70)80021-9 10.1016/j.compag.2025.109984 10.1016/j.isprsjprs.2007.02.001 10.1109/TSMC.1979.4310076 10.1016/S0031-3203(96)00065-9 10.1109/TPAMI.1987.4767981 10.1016/S0031-3203(02)00060-2 10.3390/rs11131554 10.1016/S0034-4257(02)00010-X 10.1109/TPAMI.2005.159 10.1016/j.pmpp.2022.101940 10.1016/j.compag.2010.02.007 10.1016/j.eswa.2018.09.008 |
| ContentType | Journal Article |
| DBID | AAYXX CITATION DOA |
| DOI | 10.1080/17538947.2025.2553796 |
| DatabaseName | CrossRef DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| Database_xml | – sequence: 1 dbid: DOA name: Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Environmental Sciences |
| EISSN | 1753-8955 |
| ExternalDocumentID | oai_doaj_org_article_2467c83df114411e94ede432b83ee323 10_1080_17538947_2025_2553796 |
| GroupedDBID | .7F 0YH 30N 4.4 5GY AAHBH AAJMT AAYXX ABCCY ABDBF ABFIM ABPEM ABTAI ACGFS ACIWK ACTIO ACUHS ADCVX ADMSI AEISY AENEX AEYOC AFKVX AFRAH AHDSZ AHDZW AIJEM AIYEW AJWEG ALMA_UNASSIGNED_HOLDINGS ALQZU AQRUH AQTUD AVBZW BLEHA CCCUG CE4 CITATION CS3 DGEBU DKSSO DU5 EBS ESX GROUPED_DOAJ GTTXZ H13 HZ~ J~4 KYCEM LJTGL M4Z ML. O9- OK1 SNACF TDBHL TFL TFW TTHFI TWF TWN UU3 VAE |
| ID | FETCH-LOGICAL-c316t-c44b89f0bbe8456b363b53ab6cb03331cd1e9238d32ad2bc50f47c2882be29393 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 0 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=001595787900001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1753-8947 |
| IngestDate | Mon Oct 20 19:58:10 EDT 2025 Sat Oct 25 05:25:02 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c316t-c44b89f0bbe8456b363b53ab6cb03331cd1e9238d32ad2bc50f47c2882be29393 |
| OpenAccessLink | https://doaj.org/article/2467c83df114411e94ede432b83ee323 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_2467c83df114411e94ede432b83ee323 crossref_primary_10_1080_17538947_2025_2553796 |
| PublicationCentury | 2000 |
| PublicationDate | 2025-12-31 |
| PublicationDateYYYYMMDD | 2025-12-31 |
| PublicationDate_xml | – month: 12 year: 2025 text: 2025-12-31 day: 31 |
| PublicationDecade | 2020 |
| PublicationTitle | International journal of digital earth |
| PublicationYear | 2025 |
| Publisher | Taylor & Francis Group |
| Publisher_xml | – name: Taylor & Francis Group |
| References | e_1_3_3_30_1 Sims Daniel A. (e_1_3_3_21_1) 2002; 81 e_1_3_3_18_1 e_1_3_3_17_1 e_1_3_3_19_1 e_1_3_3_14_1 e_1_3_3_13_1 e_1_3_3_16_1 e_1_3_3_15_1 e_1_3_3_10_1 e_1_3_3_12_1 e_1_3_3_31_1 e_1_3_3_11_1 e_1_3_3_32_1 e_1_3_3_7_1 e_1_3_3_6_1 e_1_3_3_9_1 e_1_3_3_8_1 e_1_3_3_29_1 e_1_3_3_28_1 e_1_3_3_25_1 e_1_3_3_24_1 e_1_3_3_27_1 e_1_3_3_26_1 e_1_3_3_3_1 e_1_3_3_2_1 e_1_3_3_20_1 e_1_3_3_5_1 e_1_3_3_23_1 e_1_3_3_4_1 e_1_3_3_22_1 |
| References_xml | – ident: e_1_3_3_28_1 doi: 10.1016/j.compag.2025.110368 – ident: e_1_3_3_20_1 doi: 10.3390/rs11151768 – ident: e_1_3_3_29_1 doi: 10.1016/j.matcom.2023.12.037 – ident: e_1_3_3_24_1 doi: 10.1109/TPAMI.2002.1017616 – ident: e_1_3_3_12_1 doi: 10.1016/j.compag.2024.109621 – ident: e_1_3_3_13_1 doi: 10.3389/fpls.2023.1067189 – ident: e_1_3_3_14_1 doi: 10.1007/BF02295996 – ident: e_1_3_3_23_1 doi: 10.1109/TCE.2010.5681154 – ident: e_1_3_3_4_1 doi: 10.1016/S0034-4257(01)00295-4 – ident: e_1_3_3_11_1 doi: 10.1016/j.compag.2024.109285 – ident: e_1_3_3_2_1 doi: 10.1016/j.biosystemseng.2010.06.004 – ident: e_1_3_3_3_1 doi: 10.1109/RBME.2017.2715350 – ident: e_1_3_3_25_1 doi: 10.1016/j.scitotenv.2019.134584 – ident: e_1_3_3_27_1 doi: 10.1177/25.7.70454 – ident: e_1_3_3_31_1 doi: 10.1186/1471-2164-9-S2-S27 – ident: e_1_3_3_32_1 doi: 10.1109/MGRS.2017.2762307 – ident: e_1_3_3_7_1 doi: 10.1016/j.aap.2024.107457 – ident: e_1_3_3_6_1 doi: 10.1016/0734-189X(85)90125-2 – ident: e_1_3_3_8_1 doi: 10.1016/S0034-4257(70)80021-9 – ident: e_1_3_3_10_1 doi: 10.1016/j.compag.2025.109984 – ident: e_1_3_3_16_1 doi: 10.1016/j.isprsjprs.2007.02.001 – ident: e_1_3_3_17_1 doi: 10.1109/TSMC.1979.4310076 – ident: e_1_3_3_19_1 doi: 10.1016/S0031-3203(96)00065-9 – ident: e_1_3_3_18_1 doi: 10.1109/TPAMI.1987.4767981 – ident: e_1_3_3_9_1 doi: 10.1016/S0031-3203(02)00060-2 – ident: e_1_3_3_30_1 doi: 10.3390/rs11131554 – volume: 81 start-page: 337 issue: 2 year: 2002 ident: e_1_3_3_21_1 article-title: Relationships between Leaf Pigment Content and Spectral Reflectance across a Wide Range of Species, Leaf Structures and Developmental Stages publication-title: Remote Sensing of Environment doi: 10.1016/S0034-4257(02)00010-X – ident: e_1_3_3_5_1 doi: 10.1109/TPAMI.2005.159 – ident: e_1_3_3_26_1 doi: 10.1016/j.pmpp.2022.101940 – ident: e_1_3_3_22_1 doi: 10.1016/j.compag.2010.02.007 – ident: e_1_3_3_15_1 doi: 10.1016/j.eswa.2018.09.008 |
| SSID | ssj0060443 |
| Score | 2.3615792 |
| Snippet | Disasters caused by winter wheat mildew affect the quality and safety of grain. The purpose of this study was to construct a winter wheat mildew index based on... |
| SourceID | doaj crossref |
| SourceType | Open Website Index Database |
| SubjectTerms | automatic threshold segmentation algorithm Gaofen-2 machine learning wheat mildew index Winter wheat |
| Title | A new remote sensing index of mildew for winter wheat disaster area extraction |
| URI | https://doaj.org/article/2467c83df114411e94ede432b83ee323 |
| Volume | 18 |
| WOSCitedRecordID | wos001595787900001&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: Directory of Open Access Journals customDbUrl: eissn: 1753-8955 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0060443 issn: 1753-8947 databaseCode: DOA dateStart: 20220101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVAWR databaseName: Taylor & Francis customDbUrl: eissn: 1753-8955 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0060443 issn: 1753-8947 databaseCode: TFW dateStart: 20080301 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis – providerCode: PRVAWR databaseName: Taylor & Francis Open Access customDbUrl: eissn: 1753-8955 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0060443 issn: 1753-8947 databaseCode: 0YH dateStart: 20221201 isFulltext: true titleUrlDefault: https://www.tandfonline.com providerName: Taylor & Francis |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV07T8MwELagYmBBvCrKo_LAmtax87DHglp1qhhAKlNkO2dUCVKUFvj7nOMEurEwRbGjyPouvvtOuftMyG3pMOzkKUQKMkxQbC4ig5E-4il3XIJ02unmsIl8sZDLpXrYOerL14QFeeAA3JjjTrZSlC721D8GlUAJieBGCgDBG51PlqsumQo-OGNJKK1HMh5JleRd745kYz_mhzA35OkIGbXIvWL_TlTaEe9voszsmBy19JBOwrJOyB5Up6Q__e1Gw8l2O27OyGJCkRXTGhBvoBtfi1690EYAka4dfVu9ljiNtJR-eVkIvHjXS8vVRnt9BKqRMVL0znXobjgnT7Pp4_08ag9IiKyIs21kk8RI5ZgxIJEIGZEJkwptMmuYECK2JeKFMbkUXJfc2JS5JLccSbUBDPNK9EmvWldwQaj_P2cxmXFGqSRzmcSbNNXAMqtd6tSAjDqAivegg1HErbxoh2jhES1aRAfkzsP487CXsW4G0LhFa9ziL-Ne_sdLrsihX1hQZ7wmvW39ATfkwH5uV5t6SPbZ83zYfD3fQhPDqg |
| linkProvider | Directory of Open Access Journals |
| 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=A+new+remote+sensing+index+of+mildew+for+winter+wheat+disaster+area+extraction&rft.jtitle=International+journal+of+digital+earth&rft.au=Li%2C+Huade&rft.au=Zhang%2C+Jinshui&rft.au=Chen%2C+Zhenghua&rft.au=Zhang%2C+Mingwei&rft.date=2025-12-31&rft.issn=1753-8947&rft.eissn=1753-8955&rft.volume=18&rft.issue=2&rft_id=info:doi/10.1080%2F17538947.2025.2553796&rft.externalDBID=n%2Fa&rft.externalDocID=10_1080_17538947_2025_2553796 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1753-8947&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1753-8947&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1753-8947&client=summon |