{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T05:46:04Z","timestamp":1776059164893,"version":"3.50.1"},"reference-count":112,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2020,4,2]],"date-time":"2020-04-02T00:00:00Z","timestamp":1585785600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2017YFB0503905"],"award-info":[{"award-number":["2017YFB0503905"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["41901291"],"award-info":[{"award-number":["41901291"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Major Projects of High Resolution Earth Observation Systems of National Science and Technology","award":["05-Y30B01-9001-19\/20-1"],"award-info":[{"award-number":["05-Y30B01-9001-19\/20-1"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The natural environment is essential for human survival and development since it provides water resources, land resources, biological resources and climate resources etc. As a developing country, China has witnessed a significant change in the natural environment in recent decades; and therefore, monitoring and mastering the status of the environment is of great significance. Due to the characteristics of large-scale and dynamic observation, remote sensing technology has been an indispensable approach for environmental monitoring. This paper reviews the satellite resources, institutions and policies for environmental monitoring in China, and the advances in research and application of remote sensing from five aspects: ecological index retrieval, environmental monitoring in protected areas, rural areas, urban areas and mining areas. The remote sensing models and methods for various types of environmental monitoring, and the specific applications in China are comprehensively summarized. This paper also points out major challenges existing at the current stage: satellite sensor problems, integrated use challenges of datasets, uncertainty in the retrieval process of ecological variables, scaling effect problems, a low degree of automation, the weak ability of forecasting and comprehensive analysis, and a lack of computational power for massive datasets. Finally, the development trend and future directions are put forward to direct the research and application of environmental monitoring and protection in the new era.<\/jats:p>","DOI":"10.3390\/rs12071130","type":"journal-article","created":{"date-parts":[[2020,4,2]],"date-time":"2020-04-02T11:57:14Z","timestamp":1585828634000},"page":"1130","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":318,"title":["A Review of Remote Sensing for Environmental Monitoring in China"],"prefix":"10.3390","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3135-092X","authenticated-orcid":false,"given":"Jun","family":"Li","sequence":"first","affiliation":[{"name":"College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China"}]},{"given":"Yanqiu","family":"Pei","sequence":"additional","affiliation":[{"name":"College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China"}]},{"given":"Shaohua","family":"Zhao","sequence":"additional","affiliation":[{"name":"Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China"},{"name":"State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, China"}]},{"given":"Rulin","family":"Xiao","sequence":"additional","affiliation":[{"name":"Ministry of Ecology and Environment Center for Satellite Application on Ecology and Environment, Beijing 100094, China"},{"name":"State Environmental Protection Key Laboratory of Satellite Remote Sensing, Beijing 100094, China"}]},{"given":"Xiao","family":"Sang","sequence":"additional","affiliation":[{"name":"College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4902-8704","authenticated-orcid":false,"given":"Chengye","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China"}]}],"member":"1968","published-online":{"date-parts":[[2020,4,2]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Li, J., Zhang, Y., Qin, Q., and Yan, Y. (2017). Investigating the Impact of Human Activity on Land Use\/Cover Change in China\u2019s Lijiang River Basin from the Perspective of Flow and Type of Population. Sustainability, 9.","DOI":"10.3390\/su9030383"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Muraoka, H., Ishii, R., Nagai, S., Suzuki, R., Motohka, T., Noda, H.M., Hirota, M., Nasahara, K.N., Oguma, H., and Muramatsu, K. (2012). Linking Remote Sensing and In Situ Ecosystem\/Biodiversity Observations by \u201cSatellite Ecology\u201d, Springer.","DOI":"10.1007\/978-4-431-54032-8_21"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1007\/s12145-017-0286-6","article-title":"An overview of satellite remote sensing technology used in China\u2019s environmental protection","volume":"10","author":"Zhao","year":"2017","journal-title":"Earth Sci. Inform."},{"key":"ref_4","first-page":"1552","article-title":"Research on Using a Mono-Window Algorithm for Land Surface Temperature Retrieval from Chinese Satellite for Environment and Natural Disaster Monitoring(HJ-1B) Data","volume":"31","author":"Zhao","year":"2011","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_5","first-page":"120","article-title":"Evapotranspiration estimation for oasis transect in middle reach of Heihe river basin based on remote sensing","volume":"30","author":"Lian","year":"2014","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_6","first-page":"47","article-title":"Retrieving land surface temperature based on deep dynamic learning NN algorithm and radiation transmission model","volume":"30","author":"Mao","year":"2018","journal-title":"China Agric. Inform."},{"key":"ref_7","first-page":"1450","article-title":"An analysis on eco-environmental effect of urban land use based on remote sensing images: A case study of urban thermal environment and NDVI","volume":"26","author":"Yue","year":"2006","journal-title":"Acta Ecol. Sin."},{"key":"ref_8","first-page":"688","article-title":"Trajectory and Driving Forces of Change in Farmland in Nanjing During the Period From 1985 to 2010","volume":"29","author":"Liu","year":"2013","journal-title":"J. Ecol. Rural Environ."},{"key":"ref_9","unstructured":"Xiao, J., Liao, X., and Wang, T. (2014). Cultivated Land Use Changes in Hunan Based on Remote Sensing. Hunan Agric. Sci., 52\u201354."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"826","DOI":"10.1016\/j.rse.2017.09.019","article-title":"Characterizing spatial and temporal trends of surface urban heat island effect in an urban main built-up area: A 12-year case study in Beijing, China","volume":"204","author":"Meng","year":"2018","journal-title":"Remote Sens. Environ."},{"key":"ref_11","first-page":"1261","article-title":"Progress of Urban Ecological Environment Monitoring by Remote Sensing in China","volume":"28","author":"Zhao","year":"2019","journal-title":"Ecol. Environ. Sci."},{"key":"ref_12","first-page":"13","article-title":"Monitoring Glacier Change Based on Remote Sensing in the Mt. Qomolangma National Nature Preserve,1976-2006","volume":"65","author":"Nie","year":"2010","journal-title":"Acta Geogr. Sin."},{"key":"ref_13","first-page":"149","article-title":"Change analysis in Hainan Dongzhai Wetland Reserve based on remote sensing data obtained during 2002-2013","volume":"29","author":"Li","year":"2017","journal-title":"Remote Sens. Land Resour."},{"key":"ref_14","first-page":"240","article-title":"Dynamic Monitoring of Fractional Vegetation Cover of Eco-Function Area of Grassland on Northern Foot of Yinshan Mountains through Remote Sensing Technology","volume":"30","author":"Zhao","year":"2017","journal-title":"Res. Environ. Sci."},{"key":"ref_15","first-page":"457","article-title":"Comparison of Vegetation Coverage Extracting Based on MODIS Data","volume":"05","author":"Wang","year":"2010","journal-title":"J. Atmos. Environ. Opt."},{"key":"ref_16","first-page":"126","article-title":"Study of vegetation information extraction method based on Landsat8 satellite images","volume":"41","author":"Zhai","year":"2016","journal-title":"Sci. Surv. Mapp."},{"key":"ref_17","first-page":"79","article-title":"Study on Vegetation Information Extraction Method Based on Landsat-8 OLI Images","volume":"41","author":"Zhao","year":"2018","journal-title":"Geomat. Spat. Inf. Technol."},{"key":"ref_18","first-page":"210","article-title":"Evaluation of topographic effects on four commonly used vegetation indices","volume":"17","author":"Zhu","year":"2013","journal-title":"J. Remote Sens."},{"key":"ref_19","first-page":"46","article-title":"Comparison of methods for extracting vegetation information from GF-1","volume":"37","author":"Gao","year":"2017","journal-title":"Agric. Technol."},{"key":"ref_20","first-page":"757","article-title":"Spatio-Temporal Variation of Vegetation Cover in Shule River Valley During 2000-2014","volume":"32","author":"Qi","year":"2016","journal-title":"J. Ecol. Rural Environ."},{"key":"ref_21","first-page":"584","article-title":"Spatial and Temporal Changes of Vegetation Coverage and Influencing Factors in Hulun Buir Grassland During 2000-2016","volume":"34","author":"Li","year":"2018","journal-title":"J. Ecol. Rural Environ."},{"key":"ref_22","first-page":"351","article-title":"Remote detection of bare soil moisture using a surface-temperature-based soil evaporation transfer coefficient","volume":"12","author":"Zhao","year":"2010","journal-title":"Int. J. Appl. Earth Obs. Geoinf."},{"key":"ref_23","first-page":"1557","article-title":"New Index for Soil Moisture Monitoring Based on \u2206Ts-Albedo Spectral Information","volume":"31","author":"Yao","year":"2011","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"283","DOI":"10.3724\/SP.J.1010.2012.00283","article-title":"Soil moisture retrieval based on GA-BP neural networks algorithm","volume":"31","author":"Yu","year":"2012","journal-title":"J. Infrared Millim. Waves"},{"key":"ref_25","first-page":"2113","article-title":"Bare Soil Moisture Inversion Model Based on Visible-Shortwave Infrared Reflectance","volume":"35","author":"Zheng","year":"2015","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_26","first-page":"1378","article-title":"Soil Moisture Monitoring Based on Angle Dryness Index","volume":"36","author":"Gao","year":"2016","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_27","first-page":"45","article-title":"Reconstructing missing data in soil moisture content derived from remote sensing based on optimum interpolation","volume":"30","author":"Li","year":"2018","journal-title":"Remote Sens. Land Resour."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"1955","DOI":"10.1007\/s11430-011-4204-3","article-title":"A new semi-empirical model for soil moisture content retrieval by ASAR and TM data in vegetation-covered areas","volume":"54","author":"Yu","year":"2011","journal-title":"Sci. China-Earth Sci."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1007\/s12524-015-0528-3","article-title":"Soil Moisture Mapping Using two Scenes SAR Imagery Without Knowing Information on Surface Parameters","volume":"44","author":"Zhao","year":"2016","journal-title":"J. Indian Soc. Remote Sens."},{"key":"ref_30","first-page":"206","article-title":"Retrieval method of soil moisture based on polarized information","volume":"47","author":"Zhang","year":"2018","journal-title":"Infrared Laser Eng."},{"key":"ref_31","first-page":"255","article-title":"Soil bidirectional reflectance characteristics as affected by soil moisture","volume":"48","author":"Cheng","year":"2011","journal-title":"Acta Pedol. Sin."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.3788\/AOS20092905.1403","article-title":"Remote Sensing Quantitative Monitoring and Analysis Fuel Moisture Content Based on Spectral Index","volume":"29","author":"Li","year":"2009","journal-title":"Acta Opt. Sin."},{"key":"ref_33","first-page":"69","article-title":"Remote Sensing Retrieval Model of Vegetation Moisture Content Based on Spectral Index: A Case Study in Maoergai of Mibjiang River\u2019 Upstream","volume":"28","author":"Pan","year":"2013","journal-title":"Remote Sens. Inf."},{"key":"ref_34","first-page":"876","article-title":"Theretrieval of Vegetation Water Content based on ASTER Images in Middle of Heihe River Basin","volume":"30","author":"Wen","year":"2015","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_35","first-page":"387","article-title":"Estimating and Validating Wheat Leaf Water Content with Three MODIS Spectral Indexes: A Case Study in Ningxia Plain, China","volume":"18","author":"Zhao","year":"2016","journal-title":"J. Agric. Sci. Technol."},{"key":"ref_36","first-page":"2833","article-title":"Estimation of vegetation canopy water content using Hyperion hyperspectral data","volume":"33","author":"Song","year":"2013","journal-title":"Spectrosc. Spectr. Anal."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/S0022-1694(98)00253-4","article-title":"A remote sensing surface energy balance algorithm for land (SEBAL): 1. Formulation","volume":"212","author":"Bastiaanssen","year":"1998","journal-title":"J. Hydrol."},{"key":"ref_38","first-page":"8","article-title":"Daily evapotranspiration estimation of Panjin wetland based on SEBAL model and its distribution characteristics","volume":"15","author":"Yu","year":"2017","journal-title":"Sci. Soil Water Conserv."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1080\/10095020.2013.772806","article-title":"Remote Sensing Estimation of Land Surface Evapotranspiration Based on HJ-1B Data and SEBAL Model","volume":"11","author":"Zhang","year":"2013","journal-title":"Geospat. Inf."},{"key":"ref_40","first-page":"111","article-title":"Modelling evapotranspiration in provincial regions based on FY-3\/VIRR remote sensing data","volume":"30","author":"Zhao","year":"2014","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"85","DOI":"10.5194\/hess-6-85-2002","article-title":"The Surface Energy Balance System (SEBS) for Estimation of Turbulent Heat Fluxes","volume":"6","author":"Su","year":"1988","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_42","first-page":"1","article-title":"Evapotranspiration in Heihe River Basin based on SEBS model","volume":"44","author":"Yang","year":"2008","journal-title":"J. Lanzhou Univ."},{"key":"ref_43","first-page":"901","article-title":"Estimation and Spatio-Temporal Distribution of Evapotranspiration in Small-Scaled Catchments in Subtropics of China Based on Landsat 8 Data","volume":"32","author":"Ma","year":"2016","journal-title":"J. Ecol. Rural Environ."},{"key":"ref_44","first-page":"80","article-title":"Evapotranspiration and the Factors Affecting It in Chakou Basin Studied with the SEBS Model","volume":"37","author":"Wen","year":"2018","journal-title":"J. Irrig. Drain."},{"key":"ref_45","first-page":"380","article-title":"Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)\u2014Model","volume":"4","author":"Allen","year":"2007","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_46","first-page":"83","article-title":"Estimating latent heat flux over farmland from Landsat images using the improved METRIC model","volume":"30","author":"Yu","year":"2018","journal-title":"Remote Sens. Land Resour."},{"key":"ref_47","first-page":"504","article-title":"Estimation of field evapotranspiration in the middle reaches of Heihe River basin based on SEBS-METRIC Method","volume":"49","author":"He","year":"2013","journal-title":"J. Lanzhou Univ."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1007\/s12665-011-0972-5","article-title":"Evaluation of EDI derived from the exponential evapotranspiration model for monitoring China\u2019s surface drought","volume":"63","author":"Yao","year":"2011","journal-title":"Environ. Earth Sci."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"3719","DOI":"10.1080\/01431160010006971","article-title":"A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region","volume":"22","author":"Qin","year":"2001","journal-title":"Int. J. Remote Sens."},{"key":"ref_50","first-page":"857","article-title":"Retrieval and validation of the land surface temperature derived from Landsat 8 data: A case study of the Heihe River Basin","volume":"22","author":"Meng","year":"2018","journal-title":"J. Remote Sens."},{"key":"ref_51","first-page":"70","article-title":"Overview of Surface Temperature Inversion Algorithm","volume":"39","author":"Zhu","year":"2016","journal-title":"Geomat. Spat. Inf. Technol."},{"key":"ref_52","first-page":"728","article-title":"A Split-window Algorithm for Retrieving Land Surface Temperature from ASTER Data","volume":"27","author":"Sun","year":"2012","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"5877","DOI":"10.1109\/TGRS.2017.2716401","article-title":"Land Surface Temperature Estimate from Chinese Gaofen-5 Satellite Data Using Split-Window Algorithm","volume":"55","author":"Ye","year":"2017","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_54","first-page":"1261","article-title":"Vegetation spatio-temporal changes and driving factors in the Mt. Qomolangma Nature Reserve in 2000-2007","volume":"19","author":"Kan","year":"2010","journal-title":"Ecol. Environ. Sci."},{"key":"ref_55","first-page":"376","article-title":"Using Remote Sensing Data to Monitor Dynamic Changes of Nature Reserve of the Yellow River Delta","volume":"26","author":"Liu","year":"2010","journal-title":"Chin. Agric. Sci. Bull."},{"key":"ref_56","first-page":"271","article-title":"Research on the impact of land use activities on nature reserves: Heilongjiang Province as a case","volume":"38","author":"Zhang","year":"2015","journal-title":"Environ. Sci. Technol."},{"key":"ref_57","first-page":"3135","article-title":"Method for supervising and assessing of human activities in nature reserve based on sky and earth","volume":"36","author":"Liu","year":"2016","journal-title":"China Environ. Sci."},{"key":"ref_58","first-page":"802","article-title":"Status Quo of Distribution of Human Activities in the National Nature Reserves","volume":"31","author":"Xu","year":"2015","journal-title":"J. Ecol. Rural Environ."},{"key":"ref_59","first-page":"929","article-title":"The monitoring and evaluation of protective effectiveness in Shibalichangxia Nature Reserve of Hubei based on Remote Sensing technology","volume":"49","author":"Wang","year":"2015","journal-title":"J. Cent. China Norm. Univ."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Liu, X., Fu, J., Jiang, D., Luo, J., Sun, C., Liu, H., Wen, R., and Wang, X. (2018). Improvement of Ecological Footprint Model in National Nature Reserve Based on Net Primary Production (NPP). Sustainability, 11.","DOI":"10.3390\/su11010002"},{"key":"ref_61","first-page":"1456","article-title":"Human Disturbance Monitoring and Assessment in the Biodiversity Conservation Priority Area China","volume":"19","author":"Liu","year":"2017","journal-title":"J. Geo-Inf. Sci."},{"key":"ref_62","first-page":"59","article-title":"Monitoring an invasive plant using hyperspectral remote sensing data","volume":"26","author":"Wan","year":"2010","journal-title":"Trans. Chin. Soc. Agric. Eng."},{"key":"ref_63","first-page":"1138","article-title":"Biodiversity Monitoring and Assessment Using Remote Sensing Technology at County\u2019s Scale","volume":"30","author":"Yang","year":"2015","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_64","first-page":"183","article-title":"Analysis on the Spatiotemporal Change and Influence Factors of Vegetation Cover in Fanjingshan Mountain over the Last 30 Years","volume":"25","author":"Zhang","year":"2018","journal-title":"Res. Soil Water Conserv."},{"key":"ref_65","first-page":"1423","article-title":"Spatial distribution and aggregation analysis of human activity in national key ecological function regions in China","volume":"38","author":"Huang","year":"2016","journal-title":"Resour. Sci."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2016\/5194091","article-title":"Water Conservation Service Assessment and Its Spatiotemporal Features in National Key Ecological Function Zones","volume":"2016","author":"Zhai","year":"2016","journal-title":"Adv. Meteorol."},{"key":"ref_67","unstructured":"Li, X. (2016). Ecological Function Evaluation of Changbai Mountain Ecological Function Area. [Master\u2019s Thesis, Yanbian University]."},{"key":"ref_68","first-page":"76","article-title":"The Ecological Environment Change Monitoring in Earthquake Disaster Area Based on Remote Sensing","volume":"41","author":"Wang","year":"2018","journal-title":"Surv. Mapp."},{"key":"ref_69","first-page":"320","article-title":"Study on monitoring of informal open-air solid waste dumps based on Beijing-1 images","volume":"13","author":"Liu","year":"2009","journal-title":"J. Remote Sens."},{"key":"ref_70","first-page":"799","article-title":"Analysis of the non-regular garbage sites in the region of Beijing, Tianjin and Hebei using remote sensing monitoring images","volume":"26","author":"Wang","year":"2016","journal-title":"Chin. High Technol. Lett."},{"key":"ref_71","first-page":"184","article-title":"Application of Satellite Image and Digital Elevation Model in Rural Environmental Quality Monitoring","volume":"30","author":"Jiang","year":"2014","journal-title":"Environ. Monit. China"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1016\/j.isprsjprs.2017.03.002","article-title":"Mapping plastic greenhouse with medium spatial resolution satellite data: Development of a new spectral index","volume":"128","author":"Yang","year":"2017","journal-title":"ISPRS-J. Photogramm. Remote Sens."},{"key":"ref_73","first-page":"66","article-title":"Study on Extraction of Plasticulture Basing on GF-1 of High Resolution Image of China","volume":"43","author":"Qu","year":"2018","journal-title":"Environ. Sustain. Dev."},{"key":"ref_74","first-page":"3427","article-title":"A predictive model for the hyperspectral character of saltmarsh soil to its heavy metal content at Chongming Dongtan","volume":"08","author":"Liu","year":"2007","journal-title":"Acta Ecol. Sin."},{"key":"ref_75","first-page":"33","article-title":"Quantitative Retrieval of Soil Heavy Metal Content in Longkou Wastewater Irrigation Area Based on HJ1A-HSI Images","volume":"22","author":"Cai","year":"2015","journal-title":"Saf. Environ. Eng."},{"key":"ref_76","first-page":"169","article-title":"Study on Heavy Metal Element Content in the Coastal Saline Soil by Hyperspectral Remote Sensing","volume":"25","author":"Gong","year":"2010","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_77","first-page":"62","article-title":"Study on Soil Cd Monitoring in Sewage Irrigation Area by Hyperspectral Remote Sensing","volume":"11","author":"Xiao","year":"2013","journal-title":"South North Water Transf. Water Sci. Technol."},{"key":"ref_78","first-page":"482","article-title":"Remote Sensing Monitoring and Temporal Variation Analysis of Coastal Aquaculture in Shandong Province in the Recent Three Decades","volume":"16","author":"Xu","year":"2014","journal-title":"J. Geo-Inf. Sci."},{"key":"ref_79","first-page":"151","article-title":"Estimation on pollution load and analysis on spatial characteristics of mariculture in Zhelin Bay","volume":"44","author":"Xia","year":"2017","journal-title":"Guangdong Agric. Sci."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1360\/zf2011-41-suppl-108","article-title":"Application analysis on the urban heat environment monitoring of Chongqing using HJ-1B satellite remotely sensed data","volume":"41","author":"Luo","year":"2011","journal-title":"Sci. Sin."},{"key":"ref_81","first-page":"70","article-title":"Analysis of the Relationship between Urban Heat Island Effect and Urban Expansion in Chengdu, China","volume":"16","author":"Zhang","year":"2014","journal-title":"J. Geo-Inf. Sci."},{"key":"ref_82","first-page":"385","article-title":"Remote Sensing Analysis of Changes of Urban Thermal Environment of Fuzhou City in China in the Past 20 Years","volume":"20","author":"Hou","year":"2018","journal-title":"J. Geo-Inf. Sci."},{"key":"ref_83","first-page":"100","article-title":"A Study of Remote Sensing Monitoring of Urban Thermal Environment Based on ASTER Data","volume":"19","author":"Chen","year":"2011","journal-title":"Remote Sens. Land Resour."},{"key":"ref_84","first-page":"53","article-title":"Monitoring of Urban Thermal Environment in Shanghai Area from 1995 to 2012 Using Thermal Satellite Remote Sensing","volume":"38","author":"Liu","year":"2016","journal-title":"Infrared Technol."},{"key":"ref_85","first-page":"3743","article-title":"Spatiotemporal changes of thermal environment landscape pattern in Changsha","volume":"35","author":"Xu","year":"2015","journal-title":"Acta Ecol. Sin."},{"key":"ref_86","unstructured":"Huang, L. (2009). Study on Dynamic Monitoring Method of Urban Greening Land. [Master\u2019s Thesis, Kunming University of Science and Technology]."},{"key":"ref_87","first-page":"33","article-title":"Monitoring of urban ecological land use based on Gaofen-1 data","volume":"41","author":"Meng","year":"2016","journal-title":"Sci. Surv. Mapp."},{"key":"ref_88","first-page":"740","article-title":"Relationship Between Land Brightness Temperature and Vegetation Abundance in Wuhan City","volume":"29","author":"Zhang","year":"2009","journal-title":"Sci. Geogr. Sin."},{"key":"ref_89","first-page":"3264","article-title":"Spatial and temporal changes to urban surface thermal landscape patterns: A case study of Changchun City","volume":"37","author":"Tang","year":"2017","journal-title":"Acta Ecol. Sin."},{"key":"ref_90","first-page":"383","article-title":"Vegetation Coverage Based on Landsat8 Images in Guangzhou","volume":"38","author":"Xiong","year":"2015","journal-title":"Ecol. Environ. Sci."},{"key":"ref_91","first-page":"639","article-title":"Study on the thermal environment and its relationship with impervious surface in Beijing city using TM image","volume":"22","author":"Xu","year":"2013","journal-title":"Ecol. Environ. Sci."},{"key":"ref_92","first-page":"1987","article-title":"Quantitative Relationship Between Impervious Surface and Land Surface Temperature Based on Remote Sensing Technology","volume":"43","author":"Tang","year":"2013","journal-title":"J. Jilin Univ."},{"key":"ref_93","first-page":"1865","article-title":"Study on Land Surface Characteristics and Its Relationship with Land Surface Thermal Environment of Typical City in Arid Region","volume":"24","author":"MaiMaiTiJiang","year":"2015","journal-title":"Ecol. Environ. Sci."},{"key":"ref_94","first-page":"92","article-title":"An Analysis on Urban Impervious Surface and Its Relation with Thermal Environments Based on Landsat 8","volume":"38","author":"Chen","year":"2015","journal-title":"Geomat. Spat. Inf. Technol."},{"key":"ref_95","first-page":"4","article-title":"Surface Parameters Analysis of Shenyang Urban Heat Island Based on Landsat","volume":"41","author":"Wang","year":"2018","journal-title":"Geomat. Spat. Inf. Technol."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"111338","DOI":"10.1016\/j.rse.2019.111338","article-title":"Remote sensing monitoring of multi-scale watersheds impermeability for urban hydrological evaluation","volume":"232","author":"Shao","year":"2019","journal-title":"Remote Sens. Environ."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"463","DOI":"10.1007\/s11430-019-9547-x","article-title":"Advances in urban information extraction from high-resolution remote sensing imagery","volume":"63","author":"Gong","year":"2020","journal-title":"Sci. China Earth Sci."},{"key":"ref_98","doi-asserted-by":"crossref","unstructured":"Ma, X., Li, C., Tong, X., and Liu, S. (2019). A New Fusion Approach for Extracting Urban Built-up Areas from Multisource Remotely Sensed Data. Remote Sens., 11.","DOI":"10.3390\/rs11212516"},{"key":"ref_99","first-page":"3913","article-title":"Dynamic monitoring and analysis of ecological environment in Weinan City, Northwest China based on RSEI model","volume":"27","author":"Song","year":"2016","journal-title":"Chin. J. Appl. Ecol."},{"key":"ref_100","first-page":"294","article-title":"Quantitative Assess the Dynamic Change of Urban Ecological Environment Based on Remote Sensing-A Case Study in Yixing City, Jiangsu Province","volume":"38","author":"Wang","year":"2017","journal-title":"J. Ningxia Univ."},{"key":"ref_101","first-page":"1217","article-title":"Analysis to vegetation coverage change in Shendong mining area with SPOT NDVI data","volume":"34","author":"Wu","year":"2009","journal-title":"J. China Coal Soc."},{"key":"ref_102","first-page":"707","article-title":"Damage assessment of the vegetable types based on remote sensing in the open coalmine of arid desert area","volume":"33","author":"Yao","year":"2013","journal-title":"China Environ. Sci."},{"key":"ref_103","first-page":"109","article-title":"Changes of ecological environment in the Dexing copper mine based on TM images","volume":"27","author":"Zha","year":"2015","journal-title":"Remote Sens. Land Resour."},{"key":"ref_104","first-page":"355","article-title":"Investigation and Assessment of Artificial Influencing Factors of Land Degradation in Shendong Coal Mining Area Based on ZY-3 Satellite Data","volume":"32","author":"Yao","year":"2016","journal-title":"J. Ecol. Rural Environ."},{"key":"ref_105","first-page":"88","article-title":"Remote Sensing Inversion of Soil Zinc Pollution in Gejiu Mining Area of Yunnan","volume":"33","author":"Song","year":"2018","journal-title":"Remote Sens. Technol. Appl."},{"key":"ref_106","doi-asserted-by":"crossref","unstructured":"He, D., Le, B., Xiao, D., Mao, Y., Shan, F., and Ha, T. (2019). Coal mine area monitoring method by machine learning and multispectral remote sensing images. Infrared Phys. Technol., 103.","DOI":"10.1016\/j.infrared.2019.103070"},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"708","DOI":"10.1007\/s12665-019-8747-5","article-title":"Landscape ecological quality assessment and its dynamic change in coal mining area: A case study of Peixian","volume":"78","author":"Xu","year":"2019","journal-title":"Environ. Earth Sci."},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"1433","DOI":"10.4028\/www.scientific.net\/AMR.433-440.1433","article-title":"Aanlysis on Dynamic Change of Eco-Environmental Quality in Kailuan Mining Subsidence Area","volume":"433\u2013440","author":"Li","year":"2012","journal-title":"Adv. Mater. Res."},{"key":"ref_109","first-page":"186","article-title":"Monitoring of Vegetation Coverage Variation Based on Multi-Temporal Remote Sensing Data in Shendong Centre","volume":"30","author":"Fu","year":"2014","journal-title":"Environ. Monit. China"},{"key":"ref_110","first-page":"132","article-title":"Dynamic monitoring and trend analysis of vegetation change in Shendong mining area based on MODIS","volume":"29","author":"Liu","year":"2017","journal-title":"Remote Sens. Land Resour."},{"key":"ref_111","unstructured":"Wang, G., and Qiu, K. (2018). Dynamic Monitoring of Vegetation Coverage in Huainan Mining Area Based on MODIS NDVI. Bull. Surv. Mapp., 33\u201340."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1038\/d41586-019-01563-2","article-title":"How China will protect one-quarter of its land","volume":"569","author":"Gao","year":"2019","journal-title":"Nature"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/7\/1130\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:14:39Z","timestamp":1760174079000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/12\/7\/1130"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,4,2]]},"references-count":112,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2020,4]]}},"alternative-id":["rs12071130"],"URL":"https:\/\/doi.org\/10.3390\/rs12071130","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,4,2]]}}}