A review of UAV monitoring in mining areas: current status and future perspectives
With the emergence and development of unmanned aerial vehicles (UAVs), different sensors have become more miniaturized and intelligent. UAVs equipped with various sensors are now an important approach for acquiring spatial data. Many advantages, such as low cost, short revisiting cycle, flexibility...
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| Vydané v: | International journal of coal science & technology Ročník 6; číslo 3; s. 320 - 333 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Singapore
Springer Singapore
01.09.2019
Springer Springer Nature B.V SpringerOpen |
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| ISSN: | 2095-8293, 2198-7823 |
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| Abstract | With the emergence and development of unmanned aerial vehicles (UAVs), different sensors have become more miniaturized and intelligent. UAVs equipped with various sensors are now an important approach for acquiring spatial data. Many advantages, such as low cost, short revisiting cycle, flexibility and high precision, have made UAVs powerful tools in geological, agricultural, ecological and forestry growth monitoring, as well as evaluation. Now, UAVs are a hotspot in scientific research. Their application in mining areas (MA), although still in its infancy, is developing rapidly in terms of speed, scale and service scope. This research examines aspects such as UAV platforms, different sensors and their application fields, as well as reviewing the advances of scientific research in MA at the present time. By combining current research and the functions of multiple sensors, an application framework for UAV monitoring in MA is constructed. Finally, the challenge and prospects for the development of UAVs and sensors are also considered. This research hopes to provide a technical reference, expanding the knowledge and recognition of UAV monitoring in MA, as well as an assessment of applications in mining, reclamation and environment. |
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| AbstractList | With the emergence and development of unmanned aerial vehicles (UAVs), different sensors have become more miniaturized and intelligent. UAVs equipped with various sensors are now an important approach for acquiring spatial data. Many advantages, such as low cost, short revisiting cycle, flexibility and high precision, have made UAVs powerful tools in geological, agricultural, ecological and forestry growth monitoring, as well as evaluation. Now, UAVs are a hotspot in scientific research. Their application in mining areas (MA), although still in its infancy, is developing rapidly in terms of speed, scale and service scope. This research examines aspects such as UAV platforms, different sensors and their application fields, as well as reviewing the advances of scientific research in MA at the present time. By combining current research and the functions of multiple sensors, an application framework for UAV monitoring in MA is constructed. Finally, the challenge and prospects for the development of UAVs and sensors are also considered. This research hopes to provide a technical reference, expanding the knowledge and recognition of UAV monitoring in MA, as well as an assessment of applications in mining, reclamation and environment. Abstract With the emergence and development of unmanned aerial vehicles (UAVs), different sensors have become more miniaturized and intelligent. UAVs equipped with various sensors are now an important approach for acquiring spatial data. Many advantages, such as low cost, short revisiting cycle, flexibility and high precision, have made UAVs powerful tools in geological, agricultural, ecological and forestry growth monitoring, as well as evaluation. Now, UAVs are a hotspot in scientific research. Their application in mining areas (MA), although still in its infancy, is developing rapidly in terms of speed, scale and service scope. This research examines aspects such as UAV platforms, different sensors and their application fields, as well as reviewing the advances of scientific research in MA at the present time. By combining current research and the functions of multiple sensors, an application framework for UAV monitoring in MA is constructed. Finally, the challenge and prospects for the development of UAVs and sensors are also considered. This research hopes to provide a technical reference, expanding the knowledge and recognition of UAV monitoring in MA, as well as an assessment of applications in mining, reclamation and environment. |
| Audience | Academic |
| Author | Zhao, Yanling Xiao, Wu Hu, Zhenqi Ren, He |
| Author_xml | – sequence: 1 givenname: He surname: Ren fullname: Ren, He organization: State Key Laboratory of Water Resources Protection and Utilization of Coal Mining, Institute of Land Reclamation and Ecological Restoration, China University of Mining and Technology (Beijing) – sequence: 2 givenname: Yanling surname: Zhao fullname: Zhao, Yanling organization: State Key Laboratory of Water Resources Protection and Utilization of Coal Mining, Institute of Land Reclamation and Ecological Restoration, China University of Mining and Technology (Beijing) – sequence: 3 givenname: Wu orcidid: 0000-0003-2493-0694 surname: Xiao fullname: Xiao, Wu email: xiaowuwx@126.com organization: School of Public Affairs, Zhejiang University – sequence: 4 givenname: Zhenqi surname: Hu fullname: Hu, Zhenqi organization: School of Environment Science and Spatial Information, China University of Mining and Technology |
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| Cites_doi | 10.1016/j.isprsjprs.2014.01.001 10.1016/j.isprsjprs.2015.08.002 10.3390/f8030068 10.1016/j.jenvrad.2015.02.004 10.3390/rs4051392 10.1016/j.landusepol.2017.11.059 10.1016/j.rse.2009.08.017 10.5194/nhessd-3-6271-2015 10.1080/22797254.2017.1313097 10.3390/su9040629 10.1016/j.scitotenv.2018.12.156 10.3390/min8110518 10.1016/j.measurement.2016.12.002 10.1016/j.rse.2017.04.007 10.1007/s12665-017-6458-3 10.3390/rs4051355 10.1016/j.measurement.2016.05.028 10.1016/j.isprsjprs.2014.05.008 10.1016/j.compag.2017.07.008 10.1016/j.mineng.2010.02.009 10.3390/s150819667 10.5194/nhess-18-287-2018 10.1111/emr.12179 10.3390/s150204072 10.1080/01431161.2017.1317942 10.3390/s150715717 10.1016/S1003-6326(15)63977-2 10.1016/j.jag.2015.05.001 10.1080/17480930.2013.828457 10.1016/j.agwat.2015.01.020 10.1186/s13007-015-0078-2 10.1080/09208119508964720 10.3390/rs70606635 10.1007/s11270-014-2081-z 10.1016/j.envpol.2017.05.063 10.1073/pnas.0307513100 10.1007/s12665-017-6409-z 10.1080/17480930.2012.710505 10.1016/j.resconrec.2014.01.002 10.1016/S0013-7952(00)00068-5 10.1109/TGRS.2008.2010457 10.1080/17480930.2011.608888 10.1007/s12665-018-7383-9 10.1016/j.rse.2009.03.004 10.1016/j.jag.2018.07.003 10.3390/rs8030199 10.1117/1.JRS.8.083564 10.1088/1742-2132/3/3/002 10.1016/j.compgeo.2015.02.009 10.1016/j.agrformet.2018.01.021 10.1061/(ASCE)SU.1943-5428.0000138 10.1007/s13369-016-2182-7 10.3390/rs9070708 10.1007/s40789-016-0144-z 10.1016/j.jclepro.2018.10.287 10.1007/s40789-018-0234-1 10.1002/ldr.2303 10.1016/j.jag.2017.05.002 10.3390/rs10081296 10.1016/j.isprsjprs.2017.07.007 10.3390/rs10010015 10.1007/s40789-014-0024-3 10.1080/09208119208944335 10.1016/j.autcon.2014.01.004 10.3390/rs10030385 10.3390/f7030062 10.3390/rs61110395 10.1016/j.jenvrad.2017.12.009 10.1016/j.compag.2018.02.013 10.1016/j.jvolgeores.2016.06.014 10.3390/ijgi7090342 10.3390/s18020586 10.1016/j.cviu.2016.04.008 10.1080/09208119708944066 10.2747/1548-1603.48.1.99 10.3390/rs70303088 10.1016/j.jag.2018.05.015 10.1007/s40789-014-0034-1 |
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| References | Xiao, Hu, Chugh (CR81) 2011; 25 Fernández-Lozano, González-Díez, Gutiérrez-Alonso (CR22) 2018; 8 Rossi, Mancini, Dubbini (CR64) 2017; 50 Salach, Bakula, Pilarska (CR66) 2018; 7 Kršák, Blištˇan, Pauliková (CR41) 2016; 91 Tian, Wang, Li (CR73) 2017; 61 Sankey, Donager, Mcvay (CR68) 2017; 195 Hu, Yang, Xiao (CR32) 2014; 86 Mckenna, Erskine, Lechner (CR53) 2017; 38 Patricio, Francisco, Fernando (CR58) 2018; 72 Wang, Sha, Jiang (CR77) 2017; 10 Hu, Xiao, Wang (CR31) 2013; 38 Li, Chen, Wang (CR45) 2014; 30 Huang, Goward, Masek (CR34) 2010; 114 Haas, Hilger, Neugirg (CR26) 2016; 3 Malaver, Motta, Corke (CR49) 2015; 15 Polat, Uysal (CR60) 2018; 3 Romero, Luo, Su (CR63) 2018; 147 Suh, Choi (CR72) 2017; 76 Huo, Ni, Gao (CR36) 2015; 7 Johansen, Erskine, Mccabe (CR38) 2018; 209 Xiao, Fu, Wang (CR85) 2018; 71 Qu, Hou, Ge (CR61) 2017; 9 Ozdemir, Kumral (CR56) 2019; 1 Wu, Ma, Liu (CR78) 2009; 34 Agarwal, Singh, Chauhan (CR2) 2006; 3 Yucel, Turan (CR89) 2016; 41 Francioni, Salvini, Stead (CR23) 2015; 67 Rumpler, Tscharf, Mostegel (CR65) 2017; 157 Martin, Payton, Fardoulis (CR52) 2015; 143 Siebert, Teizer (CR70) 2014; 41 Xiao, Hu, Fu (CR83) 2014; 1 Xiao, Ren, Lu (CR87) 2019; 50 Esposito, Mastrorocco, Salvini (CR20) 2017; 76 Hardin, Jensen (CR27) 2011; 48 Amir, David, Lei (CR3) 2012; 4 Luke, Arko, Malenovsky (CR48) 2016; 7 Donnelly, Cruz, Asmar (CR18) 2001; 59 Jackisch, Lorenz, Zimmermann (CR37) 2018; 10 Padró, Carabassa, Balagué (CR57) 2019; 657 Sayab, Aerden, Paananen (CR69) 2018; 10 Yue, Yang, Li (CR90) 2017; 9 Malpeli, Chirico (CR51) 2015; 81 Salvini, Mastrorocco, Esposito (CR67) 2018; 18 Miguel, Felipe, Andrew (CR54) 2015; 15 Whiteside, Bartolo (CR46) 2018; 73 Harvey, Rowland, Luketina (CR28) 2016; 325 Xiao, Hu, Chugh (CR82) 2014; 28 Berni, Zarco-Tejada, Suarez (CR7) 2009; 47 Chen, Li, He (CR13) 2017; 10 Piero, Filiberto, Furio (CR59) 2015; 15 Wulder, White, Alvarez (CR79) 2009; 113 Zaman-Allah, Vergara, Araus (CR91) 2015; 11 Dunnington, Nakagawa (CR19) 2017; 229 Bi, Zou, Peng (CR8) 2014; 39 Reason, Iain, France (CR62) 2017; 8 Bendig, Bolten, Bennertz (CR6) 2014; 6 Chen, Li, Chang (CR12) 2015; 42 Keatley, Martin, Hallam (CR39) 2018; 183 Xiang, Chen, Sofia (CR80) 2018; 77 CR50 Min, Li, Liu (CR55) 2014; 1 Wang, Tian, Huang (CR76) 2015; 10 Hsieh, Chan, Hu (CR29) 2016; 8 Bao, Lechner, Johansen (CR5) 2014; 8 Darmody (CR14) 1995; 9 Bian (CR9) 2004; 33 Darmody, Hetzler, Simmons (CR15) 1992; 6 Francisco, Fernando, Patricio (CR24) 2017; 98 Aasen, Burkart, Bolten (CR1) 2015; 108 Fernández-Guisuraga, Enoc, Suárez-Seoane (CR21) 2018; 18 Bao, Lechner, Fletcher (CR4) 2014; 28 Burke, Fritz, Chris (CR10) 2014; 225 Vaglio, Chen, Lindsell (CR75) 2014; 89 Hugenholtz, Walker, Brown (CR35) 2015; 141 Lechner, Baumgartl, Matthew (CR43) 2016; 27 Tong, Liu, Chen (CR74) 2015; 7 Xiao, Chen, Da (CR84) 2018; 49 Lamb, Erskine, Fletcher (CR42) 2015; 16 Yang, Li, Yu (CR88) 2015; 31 Chen (CR92) 2004; 101 Xiao, Chen, Zhao (CR86) 2019; 44 Gago, Douthe, Coopman (CR25) 2015; 153 Chang, Jung, Maeda (CR11) 2017; 141 Hu, Chen, Xiao (CR33) 2016; 3 Dash, Watt, Pearse (CR17) 2017; 131 Liu, Li, Zhong (CR47) 2018; 252 Darren, Arko, Christopher (CR16) 2012; 4 Hu, Hu, Li (CR30) 2011; 11 Lee, Choi (CR44) 2015; 25 Komnitsas, Guo, Li (CR40) 2010; 23 Stumpf, Malet, Allemand (CR71) 2014; 95 MA Wulder (264_CR79) 2009; 113 H Huo (264_CR36) 2015; 7 T Darren (264_CR16) 2012; 4 B Kršák (264_CR41) 2016; 91 AM Lechner (264_CR43) 2016; 27 LJ Donnelly (264_CR18) 2001; 59 T Liu (264_CR47) 2018; 252 JC Padró (264_CR57) 2019; 657 K Amir (264_CR3) 2012; 4 W Chen (264_CR13) 2017; 10 Z Li (264_CR45) 2014; 30 M Romero (264_CR63) 2018; 147 D Lamb (264_CR42) 2015; 16 J Yue (264_CR90) 2017; 9 K Johansen (264_CR38) 2018; 209 AV Francisco (264_CR24) 2017; 98 CH Hugenholtz (264_CR35) 2015; 141 Y Bi (264_CR8) 2014; 39 M Zaman-Allah (264_CR91) 2015; 11 S Lee (264_CR44) 2015; 25 264_CR50 Z Bian (264_CR9) 2004; 33 J Fernández-Lozano (264_CR22) 2018; 8 W Xiao (264_CR85) 2018; 71 B Ozdemir (264_CR56) 2019; 1 W Xiao (264_CR82) 2014; 28 J Tian (264_CR73) 2017; 61 W Luke (264_CR48) 2016; 7 W Xiao (264_CR86) 2019; 44 MA Yucel (264_CR89) 2016; 41 N Bao (264_CR5) 2014; 8 P Rossi (264_CR64) 2017; 50 YC Hsieh (264_CR29) 2016; 8 X Tong (264_CR74) 2015; 7 P Mckenna (264_CR53) 2017; 38 R Agarwal (264_CR2) 2006; 3 Z Hu (264_CR31) 2013; 38 TG Whiteside (264_CR46) 2018; 73 L Dunnington (264_CR19) 2017; 229 J Berni (264_CR7) 2009; 47 J Xiang (264_CR80) 2018; 77 MC Patricio (264_CR58) 2018; 72 M Rumpler (264_CR65) 2017; 157 J Suh (264_CR72) 2017; 76 Z Hu (264_CR30) 2011; 11 A Malaver (264_CR49) 2015; 15 A Miguel (264_CR54) 2015; 15 G Esposito (264_CR20) 2017; 76 MC Harvey (264_CR28) 2016; 325 R Jackisch (264_CR37) 2018; 10 M Sayab (264_CR69) 2018; 10 PG Martin (264_CR52) 2015; 143 A Chang (264_CR11) 2017; 141 S Siebert (264_CR70) 2014; 41 Y Wang (264_CR76) 2015; 10 W Xiao (264_CR81) 2011; 25 W Xiao (264_CR83) 2014; 1 J Qu (264_CR61) 2017; 9 W Xiao (264_CR84) 2018; 49 RG Darmody (264_CR15) 1992; 6 M Reason (264_CR62) 2017; 8 Z Hu (264_CR33) 2016; 3 C Huang (264_CR34) 2010; 114 X Min (264_CR55) 2014; 1 T Sankey (264_CR68) 2017; 195 L Wu (264_CR78) 2009; 34 N Bao (264_CR4) 2014; 28 KC Malpeli (264_CR51) 2015; 81 A Salach (264_CR66) 2018; 7 JP Dash (264_CR17) 2017; 131 F Haas (264_CR26) 2016; 3 C Chen (264_CR92) 2004; 101 H Aasen (264_CR1) 2015; 108 M Francioni (264_CR23) 2015; 67 RA Burke (264_CR10) 2014; 225 J Bendig (264_CR6) 2014; 6 G Wang (264_CR77) 2017; 10 J Fernández-Guisuraga (264_CR21) 2018; 18 J Chen (264_CR12) 2015; 42 Z Hu (264_CR32) 2014; 86 RG Darmody (264_CR14) 1995; 9 K Komnitsas (264_CR40) 2010; 23 PJ Hardin (264_CR27) 2011; 48 LG Vaglio (264_CR75) 2014; 89 A Stumpf (264_CR71) 2014; 95 R Salvini (264_CR67) 2018; 18 J Gago (264_CR25) 2015; 153 W Xiao (264_CR87) 2019; 50 AC Keatley (264_CR39) 2018; 183 B Piero (264_CR59) 2015; 15 N Polat (264_CR60) 2018; 3 G Yang (264_CR88) 2015; 31 |
| References_xml | – volume: 89 start-page: 49 issue: 26 year: 2014 end-page: 58 ident: CR75 article-title: Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data publication-title: Isprs J Photogramm doi: 10.1016/j.isprsjprs.2014.01.001 – volume: 108 start-page: 245 issue: 5 year: 2015 end-page: 259 ident: CR1 article-title: Generating 3D hyperspectral information with lightweight UAV snapshot cameras for vegetation monitoring: from camera calibration to quality assurance publication-title: ISPRS J Photogramm doi: 10.1016/j.isprsjprs.2015.08.002 – volume: 8 start-page: 68 issue: 3 year: 2017 end-page: 77 ident: CR62 article-title: Structure from motion (SfM) photogrammetry with drone data: a low cost method for monitoring greenhouse gas emissions from forests in developing countries publication-title: Forests doi: 10.3390/f8030068 – volume: 31 start-page: 184 issue: 21 year: 2015 end-page: 190 ident: CR88 article-title: UAV based multi-load remote sensing technologies for wheat breeding information acquirement publication-title: Trans Chin Soc Agric Eng – volume: 143 start-page: 135 year: 2015 end-page: 140 ident: CR52 article-title: The use of unmanned aerial systems for the mapping of legacy uranium mine publication-title: J Environ Radioact doi: 10.1016/j.jenvrad.2015.02.004 – volume: 4 start-page: 1392 issue: 5 year: 2012 end-page: 1410 ident: CR16 article-title: An automated technique for generating georectified mosaics from ultra-high resolution unmanned aerial vehicle (UAV) imagery, based on structure from motion (SfM) point clouds publication-title: Remote Sen doi: 10.3390/rs4051392 – volume: 3 start-page: 1 year: 2018 end-page: 8 ident: CR60 article-title: An experimental analysis of digital elevation models generated with lidar data and UAV photogrammetry publication-title: J Indian Soc Remote – volume: 71 start-page: 213 year: 2018 end-page: 221 ident: CR85 article-title: Effects of land use transitions due to underground coal mining on ecosystem services in high groundwater table areas: a case study in the Yanzhou coalfield publication-title: Land Use Policy doi: 10.1016/j.landusepol.2017.11.059 – volume: 114 start-page: 183 issue: 1 year: 2010 end-page: 198 ident: CR34 article-title: An automated approach for reconstructing recent forest disturbance history using dense Landsat time series stacks publication-title: Remote Sens Environ doi: 10.1016/j.rse.2009.08.017 – volume: 3 start-page: 6271 issue: 10 year: 2016 end-page: 6319 ident: CR26 article-title: Quantification and analysis of geomorphic processes on a recultivated iron ore mine on the Italian island Elba using long-time ground-based LIDAR and photogrammetric data by an UAV publication-title: Nat Hazard Earth Sys doi: 10.5194/nhessd-3-6271-2015 – volume: 25 start-page: 462 issue: 5 year: 2015 end-page: 469 ident: CR44 article-title: Topographic survey at small-scale open-pit mines using a popular rotary-wing unmanned aerial vehicle (Drone) publication-title: Tunn Undergr Sp Tech – volume: 50 start-page: 211 issue: 1 year: 2017 end-page: 221 ident: CR64 article-title: Combining nadir and oblique UAV imagery to reconstruct quarry topography: methodology and feasibility analysis publication-title: Eur J Remote Sens doi: 10.1080/22797254.2017.1313097 – volume: 9 start-page: 629 issue: 4 year: 2017 end-page: 645 ident: CR61 article-title: Carbon dynamics of reclaimed coal mine soil under agricultural use: a chronosequence study in the Dongtan mining area, Shandong Province, China publication-title: Sustainability doi: 10.3390/su9040629 – volume: 657 start-page: 1602 year: 2019 end-page: 1614 ident: CR57 article-title: Monitoring opencast mine restorations using Unmanned Aerial System (UAS) imagery publication-title: Sci Total Environ doi: 10.1016/j.scitotenv.2018.12.156 – volume: 8 start-page: 518 issue: 11 year: 2018 end-page: 539 ident: CR22 article-title: New perspectives for UAV-based modelling the roman gold mining infrastructure in NW Spain publication-title: Minerals doi: 10.3390/min8110518 – volume: 98 start-page: 221 year: 2017 end-page: 227 ident: CR24 article-title: Assessment of photogrammetric mapping accuracy based on variation ground control points number using unmanned aerial vehicle publication-title: Measurement doi: 10.1016/j.measurement.2016.12.002 – volume: 39 start-page: 490 issue: s2 year: 2014 end-page: 496 ident: CR8 article-title: Effects of mining subsidence on soil water movement in sandy area publication-title: J China Coal Soc – volume: 195 start-page: 30 year: 2017 end-page: 43 ident: CR68 article-title: UAV lidar and hyperspectral fusion for forest monitoring in the southwestern USA publication-title: Remote Sens Environ doi: 10.1016/j.rse.2017.04.007 – volume: 76 start-page: 144 issue: 4 year: 2017 end-page: 155 ident: CR72 article-title: Mapping hazardous mining-induced sinkhole subsidence using unmanned aerial vehicle (drone) photogrammetry publication-title: Environ Earth Sci doi: 10.1007/s12665-017-6458-3 – volume: 4 start-page: 1355 issue: 5 year: 2012 end-page: 1368 ident: CR3 article-title: Low power greenhouse gas sensors for unmanned aerial vehicles publication-title: Remote Sens doi: 10.3390/rs4051355 – volume: 91 start-page: 276 year: 2016 end-page: 287 ident: CR41 article-title: Use of low-cost UAV photogrammetry to analyze the accuracy of a digital elevation model in a case study publication-title: Measurement doi: 10.1016/j.measurement.2016.05.028 – volume: 33 start-page: 213 issue: 2 year: 2004 end-page: 218 ident: CR9 article-title: Change of agricultural land quality due to mining subsidence publication-title: J China Univ Min Tech – volume: 95 start-page: 1 year: 2014 end-page: 12 ident: CR71 article-title: Surface reconstruction and landslide displacement measurements with Pleiades satellite images publication-title: ISPRS J Photogramm doi: 10.1016/j.isprsjprs.2014.05.008 – volume: 141 start-page: 232 year: 2017 end-page: 237 ident: CR11 article-title: Crop height monitoring with digital imagery from Unmanned Aerial System (UAS) publication-title: Comput Electron Agric doi: 10.1016/j.compag.2017.07.008 – volume: 23 start-page: 627 issue: 8 year: 2010 end-page: 635 ident: CR40 article-title: Mapping of soil nutrients in an abandoned Chinese coal mine and waste disposal site publication-title: Miner Eng doi: 10.1016/j.mineng.2010.02.009 – volume: 15 start-page: 19667 issue: 8 year: 2015 end-page: 19687 ident: CR54 article-title: Towards the development of a low cost airborne sensing system to monitor dust particles after blasting at open-pit mine sites publication-title: Sensors doi: 10.3390/s150819667 – volume: 18 start-page: 1 issue: 1 year: 2018 end-page: 35 ident: CR67 article-title: Use of a remotely piloted aircraft system for hazard assessment in a rocky mining area (Lucca, Italy) publication-title: Nat Hazard Earth Sys doi: 10.5194/nhess-18-287-2018 – ident: CR50 – volume: 16 start-page: 186 issue: 3 year: 2015 end-page: 195 ident: CR42 article-title: Widening gap between expectations and practice in Australian mine site rehabilitation publication-title: Ecol Manag Restor doi: 10.1111/emr.12179 – volume: 15 start-page: 4072 issue: 2 year: 2015 end-page: 4096 ident: CR49 article-title: Development and integration of a solar powered unmanned aerial vehicle and a wireless sensor network to monitor greenhouse gases publication-title: Sensors doi: 10.3390/s150204072 – volume: 38 start-page: 4244 issue: 14 year: 2017 end-page: 4264 ident: CR53 article-title: Measuring fire severity using UAV imagery in semi-arid central Queensland, Australia publication-title: Int J Remote Sens doi: 10.1080/01431161.2017.1317942 – volume: 15 start-page: 15717 issue: 7 year: 2015 end-page: 15737 ident: CR59 article-title: UAV deployment exercise for mapping purposes: evaluation of emergency response applications publication-title: Sensors doi: 10.3390/s150715717 – volume: 38 start-page: 301 issue: 2 year: 2013 end-page: 307 ident: CR31 article-title: Concurrent mining and reclamation for underground coal mining publication-title: J China Coal Soc – volume: 10 start-page: 3421 issue: 25 year: 2015 end-page: 3428 ident: CR76 article-title: Monitoring coal fires in Datong coalfield using multi-source remote sensing data publication-title: Trans Nonferr Metal Soc doi: 10.1016/S1003-6326(15)63977-2 – volume: 81 start-page: 258 issue: 4 year: 2015 end-page: 263 ident: CR51 article-title: Testing a small UAS for mapping artisanal diamond mining sites in Africa publication-title: Photogramm Eng Rem S – volume: 42 start-page: 76 year: 2015 end-page: 86 ident: CR12 article-title: Open-pit mining geomorphic feature characterization publication-title: Int J Appl Earth Obs doi: 10.1016/j.jag.2015.05.001 – volume: 28 start-page: 250 issue: 4 year: 2014 end-page: 263 ident: CR82 article-title: Dynamic subsidence simulation and topsoil removal strategy in high-groundwater table and underground coal mining area—a case study in Shandong Province publication-title: Int J Surf Min Reclam Environ doi: 10.1080/17480930.2013.828457 – volume: 50 start-page: 177 issue: 2 year: 2019 end-page: 186 ident: CR87 article-title: Vegetation classification by using UAV remote sensing in coal mining subsidence wetland with high ground-water level publication-title: Trans Chin Soc Agric Eng – volume: 153 start-page: 9 year: 2015 end-page: 19 ident: CR25 article-title: UAVs challenge to assess water stress for sustainable agriculture publication-title: Agr Water Manag doi: 10.1016/j.agwat.2015.01.020 – volume: 10 start-page: 78 year: 2017 end-page: 81 ident: CR77 article-title: Research on engineering volume calculation for open-pit mine based on UAV oblique photogrammetry publication-title: Metal Min – volume: 11 start-page: 1 issue: 1 year: 2015 end-page: 10 ident: CR91 article-title: Unmanned aerial platform-based multi-spectral imaging for field phenotyping of maize publication-title: Plant Methods doi: 10.1186/s13007-015-0078-2 – volume: 9 start-page: 63 issue: 2 year: 1995 end-page: 68 ident: CR14 article-title: Modeling agricultural impacts of longwall mine subsidence: a GIS approach publication-title: Int J Min Reclam Env doi: 10.1080/09208119508964720 – volume: 7 start-page: 6635 issue: 6 year: 2015 end-page: 6662 ident: CR74 article-title: Integration of UAV-based photogrammetry and terrestrial laser scanning for the three-dimensional mapping and monitoring of open-pit mine areas publication-title: Remote Sens doi: 10.3390/rs70606635 – volume: 225 start-page: 2081 issue: 8 year: 2014 end-page: 2097 ident: CR10 article-title: Impacts of mountaintop removal and valley fill coal mining on C and N processing in terrestrial soils and headwater streams publication-title: Water Air Soil Poll doi: 10.1007/s11270-014-2081-z – volume: 229 start-page: 139 year: 2017 end-page: 145 ident: CR19 article-title: Fast and safe gas detection from underground coal fire by drone fly over publication-title: Environ Pollut doi: 10.1016/j.envpol.2017.05.063 – volume: 101 start-page: 5303 year: 2004 end-page: 5310 ident: CR92 article-title: Searching for intellectual turning points: progressive knowledge domain visualization publication-title: Proc Natl Acad Sci U.S.A. doi: 10.1073/pnas.0307513100 – volume: 76 start-page: 103 issue: 3 year: 2017 end-page: 118 ident: CR20 article-title: Application of UAV photogrammetry for the multi-temporal estimation of surface extent and volumetric excavation in the Sa Pigada Bianca open-pit mine, Sardinia, Italy publication-title: Environ Earth Sci doi: 10.1007/s12665-017-6409-z – volume: 28 start-page: 2 issue: 1 year: 2014 end-page: 24 ident: CR4 article-title: SPOTing long-term changes in vegetation over short-term variability publication-title: Int J Surf Min Reclam Environ doi: 10.1080/17480930.2012.710505 – volume: 86 start-page: 1 issue: 3 year: 2014 end-page: 8 ident: CR32 article-title: Farmland damage and its impact on the overlapped areas of cropland and coal resources in the eastern plains of China publication-title: Res Con Rec doi: 10.1016/j.resconrec.2014.01.002 – volume: 59 start-page: 103 issue: 1 year: 2001 end-page: 114 ident: CR18 article-title: The monitoring and prediction of mining subsidence in the Amaga, Angelopolis, Venecia and Bolombolo Regions, Antioquia, Colombia publication-title: Eng Geol doi: 10.1016/S0013-7952(00)00068-5 – volume: 47 start-page: 722 issue: 3 year: 2009 end-page: 738 ident: CR7 article-title: Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle publication-title: IEEE T Geosci Remote doi: 10.1109/TGRS.2008.2010457 – volume: 25 start-page: 332 issue: 4 year: 2011 end-page: 341 ident: CR81 article-title: A study of land reclamation and ecological restoration in a resource-exhausted city—a case study of Huaibei in China publication-title: Int J Min Reclam Env doi: 10.1080/17480930.2011.608888 – volume: 77 start-page: 220 issue: 6 year: 2018 end-page: 237 ident: CR80 article-title: Open-pit mine geomorphic changes analysis using multi-temporal UAV survey publication-title: Environ Earth Sci doi: 10.1007/s12665-018-7383-9 – volume: 113 start-page: 1540 issue: 7 year: 2009 end-page: 1555 ident: CR79 article-title: Characterizing boreal forest wildfire with multi-temporal Landsat and LIDAR data publication-title: Remote Sens Environ doi: 10.1016/j.rse.2009.03.004 – volume: 73 start-page: 300 year: 2018 end-page: 312 ident: CR46 article-title: A robust object-based woody cover extraction technique for monitoring mine site revegetation at scale in the monsoonal tropics using multispectral RPAS imagery from different sensors publication-title: Int J Appl Earth Obs doi: 10.1016/j.jag.2018.07.003 – volume: 8 start-page: 199 issue: 3 year: 2016 end-page: 281 ident: CR29 article-title: Digital elevation model differencing and error estimation from multiple sources: a case study from the Meiyuan Shan landslide in Taiwan publication-title: Remote Sens doi: 10.3390/rs8030199 – volume: 8 start-page: 1 issue: 1 year: 2014 end-page: 18 ident: CR5 article-title: Object-based classification of semiarid vegetation to support mine rehabilitation and monitoring publication-title: J Appl Remote Sens doi: 10.1117/1.JRS.8.083564 – volume: 3 start-page: 212 issue: 3 year: 2006 end-page: 218 ident: CR2 article-title: Detection of coal mine fires in the Jharia coal field using NOAA/AVHRR data publication-title: J Geophys Eng doi: 10.1088/1742-2132/3/3/002 – volume: 67 start-page: 46 year: 2015 end-page: 63 ident: CR23 article-title: An integrated remote sensing-GIS approach for the analysis of an open pit in the Carrara marble district, Italy: slope stability assessment through kinematic and numerical methods publication-title: Comput Geotech doi: 10.1016/j.compgeo.2015.02.009 – volume: 252 start-page: 144 year: 2018 end-page: 154 ident: CR47 article-title: Estimates of rice lodging using indices derived from UAV visible and thermal infrared images publication-title: Agr Forest Meteorol doi: 10.1016/j.agrformet.2018.01.021 – volume: 141 start-page: 06014003 issue: 1 year: 2015 ident: CR35 article-title: Earthwork volumetrics with an unmanned aerial vehicle and softcopy photogrammetry publication-title: J Surv Eng doi: 10.1061/(ASCE)SU.1943-5428.0000138 – volume: 41 start-page: 4867 issue: 12 year: 2016 end-page: 4878 ident: CR89 article-title: Areal change detection and 3D modeling of mine lakes using high-resolution unmanned aerial vehicle images publication-title: Arab J Sci Eng doi: 10.1007/s13369-016-2182-7 – volume: 9 start-page: 708 issue: 7 year: 2017 end-page: 726 ident: CR90 article-title: Estimation of winter wheat above-ground biomass using unmanned aerial vehicle-based snapshot hyperspectral sensor and crop height improved models publication-title: Remote Sens doi: 10.3390/rs9070708 – volume: 3 start-page: 339 issue: 3 year: 2016 end-page: 348 ident: CR33 article-title: Surface movement and deformation characteristics due to high-intensive coal mining in the windy and sandy region publication-title: Int J Coal Sci Tech doi: 10.1007/s40789-016-0144-z – volume: 209 start-page: 819 year: 2018 end-page: 833 ident: CR38 article-title: Using unmanned aerial vehicles to assess the rehabilitation performance of open cut coal mines publication-title: J Clean Prod doi: 10.1016/j.jclepro.2018.10.287 – volume: 1 start-page: 84 issue: 6 year: 2019 end-page: 94 ident: CR56 article-title: A system-wide approach to minimize the operational cost of bench production in open-cast mining operations publication-title: Int J Coal Sci Technol doi: 10.1007/s40789-018-0234-1 – volume: 27 start-page: 1650 issue: 6 year: 2016 end-page: 1663 ident: CR43 article-title: The impact of underground longwall mining on prime agricultural land: a review and research agenda publication-title: Land Degrad Dev doi: 10.1002/ldr.2303 – volume: 61 start-page: 22 year: 2017 end-page: 31 ident: CR73 article-title: Comparison of UAV and WorldView-2 imagery for mapping leaf area index of mangrove forest publication-title: Int J Appl Earth Obs doi: 10.1016/j.jag.2017.05.002 – volume: 10 start-page: 1296 issue: 8 year: 2018 end-page: 1312 ident: CR69 article-title: Virtual structural analysis of Jokisivu open pit using ‘structure-from-motion’ unmanned aerial vehicles (UAV) photogrammetry: implications for structurally-controlled gold deposits in Southwest Finland publication-title: Remote Sens doi: 10.3390/rs10081296 – volume: 44 start-page: 302 issue: 1 year: 2019 end-page: 313 ident: CR86 article-title: Identify Maize chlorophyll impacted by coal mining subsidence in high groundwater table area based on UAV remote sensing publication-title: J China Coal Soc – volume: 131 start-page: 1 issue: 7 year: 2017 end-page: 14 ident: CR17 article-title: Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak publication-title: ISPRS J Photogramm doi: 10.1016/j.isprsjprs.2017.07.007 – volume: 10 start-page: 15 issue: 1 year: 2017 end-page: 33 ident: CR13 article-title: A review of fine-scale land use and land cover classification in open-pit MAs by remote sensing techniques publication-title: Remote Sens doi: 10.3390/rs10010015 – volume: 30 start-page: 207 issue: 19 year: 2014 end-page: 213 ident: CR45 article-title: Area extraction of maize lodging based on remote sensing by small unmanned aerial vehicle publication-title: Tran Chin Soci Agric Eng – volume: 1 start-page: 177 issue: 3 year: 2014 end-page: 183 ident: CR83 article-title: Zoning of land reclamation in coal mining area and new progresses for the past 10 years publication-title: Int J Coal Sci Technol doi: 10.1007/s40789-014-0024-3 – volume: 6 start-page: 187 issue: 4 year: 1992 end-page: 190 ident: CR15 article-title: Coal mine subsidence: effects of mitigation on crop yields publication-title: Int J Min Reclam Env doi: 10.1080/09208119208944335 – volume: 41 start-page: 1 issue: 2 year: 2014 end-page: 14 ident: CR70 article-title: Mobile 3D mapping for surveying earthwork projects using an unmanned aerial vehicle (UAV) system publication-title: Automat Constr doi: 10.1016/j.autcon.2014.01.004 – volume: 10 start-page: 385 issue: 3 year: 2018 end-page: 407 ident: CR37 article-title: Drone-Borne hyperspectral monitoring of acid mine drainage: an example from the Sokolov Lignite District publication-title: Remote Sens doi: 10.3390/rs10030385 – volume: 7 start-page: 62 issue: 12 year: 2016 end-page: 77 ident: CR48 article-title: Assessment of forest structure using two UAV techniques: a comparison of airborne laser scanning and structure from motion (SfM) point clouds publication-title: Forests doi: 10.3390/f7030062 – volume: 6 start-page: 10395 issue: 11 year: 2014 end-page: 10412 ident: CR6 article-title: Estimating biomass of barley using crop surface models (CSMs) derived from UAV-based RGB imaging publication-title: Remote Sens doi: 10.3390/rs61110395 – volume: 183 start-page: 102 year: 2018 end-page: 111 ident: CR39 article-title: Source identification of uranium-containing materials at mine legacy sites in Portugal publication-title: J Environ Radioactiv doi: 10.1016/j.jenvrad.2017.12.009 – volume: 147 start-page: 109 year: 2018 end-page: 117 ident: CR63 article-title: Vineyard water status estimation using multispectral imagery from an UAV platform and machine learning algorithms for irrigation scheduling management publication-title: Comput Electron Agric doi: 10.1016/j.compag.2018.02.013 – volume: 325 start-page: 61 year: 2016 end-page: 69 ident: CR28 article-title: Drone with thermal infrared camera provides high resolution georeferenced imagery of the Waikite Geothermal Area, New Zealand publication-title: J Volcanol Geoth Res doi: 10.1016/j.jvolgeores.2016.06.014 – volume: 7 start-page: 342 issue: 9 year: 2018 end-page: 357 ident: CR66 article-title: Accuracy assessment of point clouds from LiDAR and dense image matching acquired using the UAV platform for DTM creation publication-title: Isprs Int J Geo-inf doi: 10.3390/ijgi7090342 – volume: 18 start-page: 586 issue: 2 year: 2018 end-page: 602 ident: CR21 article-title: Using unmanned aerial vehicles in postfire vegetation survey campaigns through large and heterogeneous areas: opportunities and challenges publication-title: Sensors doi: 10.3390/s18020586 – volume: 157 start-page: 255 year: 2017 end-page: 273 ident: CR65 article-title: Evaluations on multi-scale camera networks for precise and geo-accurate reconstructions from aerial and terrestrial images with user guidance publication-title: Comput Vis Image Underst doi: 10.1016/j.cviu.2016.04.008 – volume: 11 start-page: 91 issue: 2 year: 2011 end-page: 94 ident: CR30 article-title: Impact of coal mining subsidence on farmland in eastern Chin publication-title: Int J Min Reclam Env doi: 10.1080/09208119708944066 – volume: 48 start-page: 99 issue: 1 year: 2011 end-page: 111 ident: CR27 article-title: Small-scale unmanned aerial vehicles in environmental remote sensing: challenges and opportunities publication-title: GISSCI Remote Sens doi: 10.2747/1548-1603.48.1.99 – volume: 7 start-page: 3088 issue: 3 year: 2015 end-page: 3113 ident: CR36 article-title: A study of coal fire propagation with remotely sensed thermal infrared data publication-title: Remote Sens doi: 10.3390/rs70303088 – volume: 34 start-page: 1217 issue: 9 year: 2009 end-page: 1222 ident: CR78 article-title: Analysis to vegetation coverage change in Shendong mining area with SPOT NDVI data publication-title: J China Coal Soc – volume: 72 start-page: 1 year: 2018 end-page: 10 ident: CR58 article-title: Assessment of UAV-photogrammetric mapping accuracy based on variation of ground control points publication-title: Int J Appl Earth Obs doi: 10.1016/j.jag.2018.05.015 – volume: 1 start-page: 241 issue: 2 year: 2014 end-page: 247 ident: CR55 article-title: Effect of different machinery and rolling times on the microbial activity of reclamation soil in coal area publication-title: Int J Coal Sci Tech doi: 10.1007/s40789-014-0034-1 – volume: 49 start-page: 169 issue: 8 year: 2018 end-page: 180 ident: CR84 article-title: Inversion and analysis of maize biomass in coal mining subsidence area based on UAV images publication-title: Trans Chin Soc Agric Eng – volume: 141 start-page: 06014003 issue: 1 year: 2015 ident: 264_CR35 publication-title: J Surv Eng doi: 10.1061/(ASCE)SU.1943-5428.0000138 – volume: 41 start-page: 1 issue: 2 year: 2014 ident: 264_CR70 publication-title: Automat Constr doi: 10.1016/j.autcon.2014.01.004 – volume: 77 start-page: 220 issue: 6 year: 2018 ident: 264_CR80 publication-title: Environ Earth Sci doi: 10.1007/s12665-018-7383-9 – volume: 44 start-page: 302 issue: 1 year: 2019 ident: 264_CR86 publication-title: J China Coal Soc – volume: 30 start-page: 207 issue: 19 year: 2014 ident: 264_CR45 publication-title: Tran Chin Soci Agric Eng – volume: 50 start-page: 211 issue: 1 year: 2017 ident: 264_CR64 publication-title: Eur J Remote Sens doi: 10.1080/22797254.2017.1313097 – volume: 101 start-page: 5303 year: 2004 ident: 264_CR92 publication-title: Proc Natl Acad Sci U.S.A. doi: 10.1073/pnas.0307513100 – volume: 6 start-page: 10395 issue: 11 year: 2014 ident: 264_CR6 publication-title: Remote Sens doi: 10.3390/rs61110395 – volume: 8 start-page: 68 issue: 3 year: 2017 ident: 264_CR62 publication-title: Forests doi: 10.3390/f8030068 – volume: 16 start-page: 186 issue: 3 year: 2015 ident: 264_CR42 publication-title: Ecol Manag Restor doi: 10.1111/emr.12179 – volume: 209 start-page: 819 year: 2018 ident: 264_CR38 publication-title: J Clean Prod doi: 10.1016/j.jclepro.2018.10.287 – volume: 183 start-page: 102 year: 2018 ident: 264_CR39 publication-title: J Environ Radioactiv doi: 10.1016/j.jenvrad.2017.12.009 – volume: 72 start-page: 1 year: 2018 ident: 264_CR58 publication-title: Int J Appl Earth Obs doi: 10.1016/j.jag.2018.05.015 – volume: 9 start-page: 63 issue: 2 year: 1995 ident: 264_CR14 publication-title: Int J Min Reclam Env doi: 10.1080/09208119508964720 – volume: 15 start-page: 19667 issue: 8 year: 2015 ident: 264_CR54 publication-title: Sensors doi: 10.3390/s150819667 – volume: 41 start-page: 4867 issue: 12 year: 2016 ident: 264_CR89 publication-title: Arab J Sci Eng doi: 10.1007/s13369-016-2182-7 – volume: 28 start-page: 250 issue: 4 year: 2014 ident: 264_CR82 publication-title: Int J Surf Min Reclam Environ doi: 10.1080/17480930.2013.828457 – volume: 6 start-page: 187 issue: 4 year: 1992 ident: 264_CR15 publication-title: Int J Min Reclam Env doi: 10.1080/09208119208944335 – volume: 3 start-page: 6271 issue: 10 year: 2016 ident: 264_CR26 publication-title: Nat Hazard Earth Sys doi: 10.5194/nhessd-3-6271-2015 – volume: 48 start-page: 99 issue: 1 year: 2011 ident: 264_CR27 publication-title: GISSCI Remote Sens doi: 10.2747/1548-1603.48.1.99 – volume: 50 start-page: 177 issue: 2 year: 2019 ident: 264_CR87 publication-title: Trans Chin Soc Agric Eng – volume: 108 start-page: 245 issue: 5 year: 2015 ident: 264_CR1 publication-title: ISPRS J Photogramm doi: 10.1016/j.isprsjprs.2015.08.002 – volume: 98 start-page: 221 year: 2017 ident: 264_CR24 publication-title: Measurement doi: 10.1016/j.measurement.2016.12.002 – volume: 73 start-page: 300 year: 2018 ident: 264_CR46 publication-title: Int J Appl Earth Obs doi: 10.1016/j.jag.2018.07.003 – volume: 23 start-page: 627 issue: 8 year: 2010 ident: 264_CR40 publication-title: Miner Eng doi: 10.1016/j.mineng.2010.02.009 – volume: 8 start-page: 1 issue: 1 year: 2014 ident: 264_CR5 publication-title: J Appl Remote Sens doi: 10.1117/1.JRS.8.083564 – volume: 10 start-page: 15 issue: 1 year: 2017 ident: 264_CR13 publication-title: Remote Sens doi: 10.3390/rs10010015 – volume: 33 start-page: 213 issue: 2 year: 2004 ident: 264_CR9 publication-title: J China Univ Min Tech – volume: 225 start-page: 2081 issue: 8 year: 2014 ident: 264_CR10 publication-title: Water Air Soil Poll doi: 10.1007/s11270-014-2081-z – volume: 11 start-page: 1 issue: 1 year: 2015 ident: 264_CR91 publication-title: Plant Methods doi: 10.1186/s13007-015-0078-2 – volume: 15 start-page: 4072 issue: 2 year: 2015 ident: 264_CR49 publication-title: Sensors doi: 10.3390/s150204072 – volume: 71 start-page: 213 year: 2018 ident: 264_CR85 publication-title: Land Use Policy doi: 10.1016/j.landusepol.2017.11.059 – volume: 657 start-page: 1602 year: 2019 ident: 264_CR57 publication-title: Sci Total Environ doi: 10.1016/j.scitotenv.2018.12.156 – volume: 3 start-page: 1 year: 2018 ident: 264_CR60 publication-title: J Indian Soc Remote – volume: 31 start-page: 184 issue: 21 year: 2015 ident: 264_CR88 publication-title: Trans Chin Soc Agric Eng – volume: 131 start-page: 1 issue: 7 year: 2017 ident: 264_CR17 publication-title: ISPRS J Photogramm doi: 10.1016/j.isprsjprs.2017.07.007 – volume: 325 start-page: 61 year: 2016 ident: 264_CR28 publication-title: J Volcanol Geoth Res doi: 10.1016/j.jvolgeores.2016.06.014 – volume: 25 start-page: 332 issue: 4 year: 2011 ident: 264_CR81 publication-title: Int J Min Reclam Env doi: 10.1080/17480930.2011.608888 – volume: 114 start-page: 183 issue: 1 year: 2010 ident: 264_CR34 publication-title: Remote Sens Environ doi: 10.1016/j.rse.2009.08.017 – volume: 4 start-page: 1392 issue: 5 year: 2012 ident: 264_CR16 publication-title: Remote Sen doi: 10.3390/rs4051392 – volume: 147 start-page: 109 year: 2018 ident: 264_CR63 publication-title: Comput Electron Agric doi: 10.1016/j.compag.2018.02.013 – volume: 195 start-page: 30 year: 2017 ident: 264_CR68 publication-title: Remote Sens Environ doi: 10.1016/j.rse.2017.04.007 – volume: 9 start-page: 708 issue: 7 year: 2017 ident: 264_CR90 publication-title: Remote Sens doi: 10.3390/rs9070708 – volume: 18 start-page: 586 issue: 2 year: 2018 ident: 264_CR21 publication-title: Sensors doi: 10.3390/s18020586 – volume: 42 start-page: 76 year: 2015 ident: 264_CR12 publication-title: Int J Appl Earth Obs doi: 10.1016/j.jag.2015.05.001 – volume: 1 start-page: 241 issue: 2 year: 2014 ident: 264_CR55 publication-title: Int J Coal Sci Tech doi: 10.1007/s40789-014-0034-1 – volume: 1 start-page: 177 issue: 3 year: 2014 ident: 264_CR83 publication-title: Int J Coal Sci Technol doi: 10.1007/s40789-014-0024-3 – volume: 91 start-page: 276 year: 2016 ident: 264_CR41 publication-title: Measurement doi: 10.1016/j.measurement.2016.05.028 – volume: 7 start-page: 3088 issue: 3 year: 2015 ident: 264_CR36 publication-title: Remote Sens doi: 10.3390/rs70303088 – volume: 1 start-page: 84 issue: 6 year: 2019 ident: 264_CR56 publication-title: Int J Coal Sci Technol doi: 10.1007/s40789-018-0234-1 – volume: 10 start-page: 1296 issue: 8 year: 2018 ident: 264_CR69 publication-title: Remote Sens doi: 10.3390/rs10081296 – volume: 89 start-page: 49 issue: 26 year: 2014 ident: 264_CR75 publication-title: Isprs J Photogramm doi: 10.1016/j.isprsjprs.2014.01.001 – volume: 10 start-page: 78 year: 2017 ident: 264_CR77 publication-title: Metal Min – volume: 141 start-page: 232 year: 2017 ident: 264_CR11 publication-title: Comput Electron Agric doi: 10.1016/j.compag.2017.07.008 – volume: 61 start-page: 22 year: 2017 ident: 264_CR73 publication-title: Int J Appl Earth Obs doi: 10.1016/j.jag.2017.05.002 – volume: 38 start-page: 4244 issue: 14 year: 2017 ident: 264_CR53 publication-title: Int J Remote Sens doi: 10.1080/01431161.2017.1317942 – ident: 264_CR50 – volume: 67 start-page: 46 year: 2015 ident: 264_CR23 publication-title: Comput Geotech doi: 10.1016/j.compgeo.2015.02.009 – volume: 38 start-page: 301 issue: 2 year: 2013 ident: 264_CR31 publication-title: J China Coal Soc – volume: 81 start-page: 258 issue: 4 year: 2015 ident: 264_CR51 publication-title: Photogramm Eng Rem S – volume: 7 start-page: 342 issue: 9 year: 2018 ident: 264_CR66 publication-title: Isprs Int J Geo-inf doi: 10.3390/ijgi7090342 – volume: 9 start-page: 629 issue: 4 year: 2017 ident: 264_CR61 publication-title: Sustainability doi: 10.3390/su9040629 – volume: 8 start-page: 199 issue: 3 year: 2016 ident: 264_CR29 publication-title: Remote Sens doi: 10.3390/rs8030199 – volume: 10 start-page: 385 issue: 3 year: 2018 ident: 264_CR37 publication-title: Remote Sens doi: 10.3390/rs10030385 – volume: 49 start-page: 169 issue: 8 year: 2018 ident: 264_CR84 publication-title: Trans Chin Soc Agric Eng – volume: 76 start-page: 103 issue: 3 year: 2017 ident: 264_CR20 publication-title: Environ Earth Sci doi: 10.1007/s12665-017-6409-z – volume: 95 start-page: 1 year: 2014 ident: 264_CR71 publication-title: ISPRS J Photogramm doi: 10.1016/j.isprsjprs.2014.05.008 – volume: 39 start-page: 490 issue: s2 year: 2014 ident: 264_CR8 publication-title: J China Coal Soc – volume: 157 start-page: 255 year: 2017 ident: 264_CR65 publication-title: Comput Vis Image Underst doi: 10.1016/j.cviu.2016.04.008 – volume: 8 start-page: 518 issue: 11 year: 2018 ident: 264_CR22 publication-title: Minerals doi: 10.3390/min8110518 – volume: 76 start-page: 144 issue: 4 year: 2017 ident: 264_CR72 publication-title: Environ Earth Sci doi: 10.1007/s12665-017-6458-3 – volume: 113 start-page: 1540 issue: 7 year: 2009 ident: 264_CR79 publication-title: Remote Sens Environ doi: 10.1016/j.rse.2009.03.004 – volume: 18 start-page: 1 issue: 1 year: 2018 ident: 264_CR67 publication-title: Nat Hazard Earth Sys doi: 10.5194/nhess-18-287-2018 – volume: 153 start-page: 9 year: 2015 ident: 264_CR25 publication-title: Agr Water Manag doi: 10.1016/j.agwat.2015.01.020 – volume: 11 start-page: 91 issue: 2 year: 2011 ident: 264_CR30 publication-title: Int J Min Reclam Env doi: 10.1080/09208119708944066 – volume: 3 start-page: 339 issue: 3 year: 2016 ident: 264_CR33 publication-title: Int J Coal Sci Tech doi: 10.1007/s40789-016-0144-z – volume: 229 start-page: 139 year: 2017 ident: 264_CR19 publication-title: Environ Pollut doi: 10.1016/j.envpol.2017.05.063 – volume: 59 start-page: 103 issue: 1 year: 2001 ident: 264_CR18 publication-title: Eng Geol doi: 10.1016/S0013-7952(00)00068-5 – volume: 252 start-page: 144 year: 2018 ident: 264_CR47 publication-title: Agr Forest Meteorol doi: 10.1016/j.agrformet.2018.01.021 – volume: 34 start-page: 1217 issue: 9 year: 2009 ident: 264_CR78 publication-title: J China Coal Soc – volume: 3 start-page: 212 issue: 3 year: 2006 ident: 264_CR2 publication-title: J Geophys Eng doi: 10.1088/1742-2132/3/3/002 – volume: 28 start-page: 2 issue: 1 year: 2014 ident: 264_CR4 publication-title: Int J Surf Min Reclam Environ doi: 10.1080/17480930.2012.710505 – volume: 10 start-page: 3421 issue: 25 year: 2015 ident: 264_CR76 publication-title: Trans Nonferr Metal Soc doi: 10.1016/S1003-6326(15)63977-2 – volume: 86 start-page: 1 issue: 3 year: 2014 ident: 264_CR32 publication-title: Res Con Rec doi: 10.1016/j.resconrec.2014.01.002 – volume: 27 start-page: 1650 issue: 6 year: 2016 ident: 264_CR43 publication-title: Land Degrad Dev doi: 10.1002/ldr.2303 – volume: 25 start-page: 462 issue: 5 year: 2015 ident: 264_CR44 publication-title: Tunn Undergr Sp Tech – volume: 7 start-page: 62 issue: 12 year: 2016 ident: 264_CR48 publication-title: Forests doi: 10.3390/f7030062 – volume: 47 start-page: 722 issue: 3 year: 2009 ident: 264_CR7 publication-title: IEEE T Geosci Remote doi: 10.1109/TGRS.2008.2010457 – volume: 15 start-page: 15717 issue: 7 year: 2015 ident: 264_CR59 publication-title: Sensors doi: 10.3390/s150715717 – volume: 7 start-page: 6635 issue: 6 year: 2015 ident: 264_CR74 publication-title: Remote Sens doi: 10.3390/rs70606635 – volume: 4 start-page: 1355 issue: 5 year: 2012 ident: 264_CR3 publication-title: Remote Sens doi: 10.3390/rs4051355 – volume: 143 start-page: 135 year: 2015 ident: 264_CR52 publication-title: J Environ Radioact doi: 10.1016/j.jenvrad.2015.02.004 |
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| SubjectTerms | Energy Fossil Fuels (incl. Carbon Capture) Geospatial data Geotechnical Engineering & Applied Earth Sciences Land use controls Mineral Resources Mining areas Mining industry Monitoring Reclamation Review Sensor Sensors UAV Unmanned aerial vehicles |
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| Title | A review of UAV monitoring in mining areas: current status and future perspectives |
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