[1] Ahmed A I, Bryant R G, Edwards D P, 2021. Where are mines located in sub Saharan Africa and how have they expanded overtime? Land Degradation & Development, 32(1): 112–122. doi:  10.1002/ldr.3706
[2] Bernhardt E S, Lutz B D, King R S et al., 2012. How many mountains can we mine? assessing the regional degradation of Central Appalachian rivers by surface coal mining. Environmental Science & Technology, 46(15): 8115–8122. doi:  10.1021/es301144q
[3] Boldi P, Codenotti B, Santini M et al., 2004. Ubicrawler: a scalable fully distributed web crawler. Software:Practice and Experience, 34(8): 711–726. doi:  10.1002/spe.587
[4] Chakrabarti S, van den Berg M, Dom B, 1999. Focused crawling: a new approach to topic-specific Web resource discovery. Computer Networks, 31(11-16): 1623–1640. doi:  10.1016/S1389-1286(99)00052-3
[5] Chen J, Chen J, Liao A P et al., 2015. Global land cover mapping at 30 m resolution: a POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 103: 7–27. doi:  10.1016/j.isprsjprs.2014.09.002
[6] Cribari V, Strager M P, Maxwell A E et al., 2021. Landscape changes in the southern coalfields of west Virginia: multi-level intensity analysis and surface mining transitions in the headwaters of the coal river from 1976 to 2016. Land, 10(7): 748. doi:  10.3390/land10070748
[7] Deng M, Liu Q L, Cheng T et al., 2011. An adaptive spatial clustering algorithm based on delaunay triangulation. Computers, Environment and Urban Systems, 35(4): 320–332. doi:  10.1016/j.compenvurbsys.2011.02.003
[8] Endl A, Tost M, Hitch M et al., 2021. Europe’s mining innovation trends and their contribution to the sustainable development goals: blind spots and strong points. Resources Policy, 74: 101440. doi:  10.1016/j.resourpol.2019.101440
[9] Gallwey J, Robiati C, Coggan J et al., 2020. A Sentinel-2 based multispectral convolutional neural network for detecting artisanal small-scale mining in Ghana: applying deep learning to shallow mining. Remote Sensing of Environment, 248: 111970. doi:  10.1016/j.rse.2020.111970
[10] Gong P, Liu H, Zhang M N et al., 2019. Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017. Science Bulletin, 64(6): 370–373. doi:  10.1016/j.scib.2019.03.002
[11] Gong P, Li X C, Wang J et al., 2020. Annual maps of global artificial impervious area (GAIA) between 1985 and 2018. Remote Sensing of Environment, 236: 111510. doi:  10.1016/j.rse.2019.111510
[12] Guo Changqing, Chi Wenfeng, Kuang Wenhui et al., 2022. Mapping and spatio-temporal changes analysis of energy mining and producing sites in China using multi-source data from 1990 to 2020. Journal of Geo-Information Science, 24(1): 127–140. (in Chinese)
[13] He C Y, Liu Z F, Gou S Y, 2019. Detecting global urban expansion over the last three decades using a full convolutional network. Environmental Research Letters, 14(3): 034008. doi:  10.1088/1748-9326/aaf936
[14] Jiang Y F, Wang H L, Lei M, 2021. An integrated assessment methodology for management of potentially contaminated sites based on public data. Science of the Total Environment, 783: 146913. doi:  10.1016/j.scitotenv.2021.146913
[15] Kausar A, Dhaka V S, Singh S K, 2013. Web crawler: a review. International Journal of Computer Applications, 63(2): 31–36. doi:  10.5120/10440-5125
[16] Kim K, Park O, Barr J et al., 2019. Tourists’ shifting perceptions of UNESCO heritage sites: lessons from Jeju Island-South Korea. Tourism Review, 74(1): 20–29. doi:  10.1108/TR-09-2017-0140
[17] Kimijima S, Sakakibara M, Nagai M et al., 2021. Time-seres assessment of camp-type artisanal and small-scale gold mining sectors with large influxes of miners using Landsat imagery. International Journal of Environmental Research and Public Health, 18(18): 9441. doi:  10.3390/ijerph18189441
[18] Kuang W H, Liu J Y, Dong J W et al., 2016. The rapid and massive urban and industrial land expansions in China between 1990 and 2010: a CLUD-based analysis of their trajectories, patterns, and drivers. Landscape and Urban Planning, 145: 21–33. doi:  10.1016/j.landurbplan.2015.10.001
[19] Kuang W H, Liu J Y, Tian H Q et al., 2022. Cropland redistribution to marginal lands undermines environmental sustainability. National Science Review, 9(1): nwab091. doi:  10.1093/nsr/nwab091
[20] Li H K, Xu F, Li Q, 2020. Remote sensing monitoring of land damage and restoration in rare earth mining areas in 6 counties in southern Jiangxi based on multisource sequential images. Journal of Environmental Management, 267: 110653. doi:  10.1016/j.jenvman.2020.110653
[21] Li T K, Liu Y, Bjerg P L, 2021. Prioritization of potentially contaminated sites: a comparison between the application of a solute transport model and a risk-screening method in China. Journal of Environmental Management, 281: 111765. doi:  10.1016/j.jenvman.2020.111765
[22] Li W W, Yang C W, Yang C J, 2010. An active crawler for discovering geospatial web services and their distribution pattern-a case study of OGC Web Map Service. International Journal of Geographical Information Science, 24(8): 1127–1147. doi:  10.1080/13658810903514172
[23] Liu X P, Hu G H, Chen Y M et al., 2018. High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine platform. Remote Sensing of Environment, 209: 227–239. doi:  10.1016/j.rse.2018.02.055
[24] Luckeneder S, Giljum S, Schaffartzik A et al., 2021. Surge in global metal mining threatens vulnerable ecosystems. Global Environmental Change, 69: 102303. doi:  10.1016/j.gloenvcha.2021.102303
[25] Maus V, Giljum S, Gutschlhofer J et al., 2020. A global-scale data set of mining areas. Scientific Data, 7(1): 289. doi:  10.1038/s41597-020-00624-w
[26] MEE (Ministry of Ecology and Environment of the People’s Republic of China), 2014. Available at:http://www.gov.cn/xinwen/2014-04/17/content_2661765.htm. Cited 20 October 2021.
[27] NBS (National Bureau of Statistics of the People’s Republic of China), 2021. Available at:http://www.stats.gov.cn/. Cited 20 October 2021.
[28] Ning J, Liu J Y, Kuang W H et al., 2018. Spatiotemporal patterns and characteristics of land-use change in China during 2010–2015. Journal of Geographical Sciences, 28(5): 547–562. doi:  10.1007/s11442-018-1490-0
[29] Nortcliff S, 2001. Sampling and pre-treatment-some observations from the United Kingdom. Science of the Total Environment, 264(1-2): 163–168. doi:  10.1016/s0048-9697(00)00619-7
[30] Okabe A, Satoh T, Sugihara K, 2009. A kernel density estimation method for networks, its computational method and a GIS-based tool. International Journal of Geographical Information Science, 23(1): 7–32. doi:  10.1080/13658810802475491
[31] Owusu-Nimo F, Mantey J, Nyarko K B et al., 2018. Spatial distribution patterns of illegal artisanal small scale gold mining (Galamsey) operations in Ghana: a focus on the Western Region. Heliyon, 4(2): e00534. doi:  10.1016/j.heliyon.2018.e00534
[32] Palmer M A, Bernhardt E S, Schlesinger W H et al., 2010. Mountaintop mining consequences. Science, 327(5962): 148–149. doi:  10.1126/science.1180543
[33] Peng Y, Zhang Z M, He G J et al., 2019. An improved GrabCut method based on a visual attention model for rare-earth ore mining area recognition with high-resolution remote sensing images. Remote Sensing, 11(8): 987. doi:  10.3390/rs11080987
[34] Pericak A A, Thomas C J, Kroodsma D A et al., 2018. Mapping the yearly extent of surface coal mining in Central Appalachia using Landsat and Google Earth Engine. PLoS One, 13(7): e0197758. doi:  10.1371/journal.pone.0197758
[35] Rampanelli G B, Braun A B, Visentin C et al., 2021. The process of selecting a method for identifying potentially contaminated sites-a case study in a municipality in Southern Brazil. Water, Air, & Soil Pollution, 232(1): 26. doi:  10.1007/s11270-020-04970-8
[36] Rojano R E, Manzano C A, Toro R A et al., 2018. Potential local and regional impacts of particulate matter emitted from one of the world’s largest open-pit coal mines. Air Quality, Atmosphere & Health, 11(5): 601–610. doi:  10.1007/s11869-017-0542-4
[37] Saley A A, Baratoux D, Baratoux L et al., 2021. Evolution of the koma bangou gold panning site (Niger) from 1984 to 2020 using Landsat imagery. Earth and Space Science, 8(11): e2021EA001879. doi:  10.1029/2021EA001879
[38] SCPRC (State Council of the People’s Republic of China), 2013. Air pollution prevention and control action plan. Available at: http://www.gov.cn/zwgk/2013-09/12/content_2486773.htm. Cited 20 October 2021.
[39] SCPRC, 2015. Water pollution prevention and control action plan. Available at: http://www.gov.cn/zhengce/content/2015-04/16/content_9613.htm. Cited 20 October 2021.
[40] SCPRC, 2016. Soil pollution prevention and control action plan. Available at: http://www.gov.cn/zhengce/content/2016-05/31/content_5078377.htm. Cited 20 October 2021.
[41] Song Z C, Wang C, Ding L et al., 2021. Soil mercury pollution caused by typical anthropogenic sources in China: evidence from stable mercury isotope measurement and receptor model analysis. Journal of Cleaner Production, 288: 125687. doi:  10.1016/j.jclepro.2020.125687
[42] Sonter L J, Herrera D, Barrett D J et al., 2017. Mining drives extensive deforestation in the Brazilian Amazon. Nature Communications, 8(1): 1013. doi:  10.1038/s41467-017-00557-w
[43] Sonter L J, Dade M C, Watson J E M et al., 2020. Renewable energy production will exacerbate mining threats to biodiversity. Nature Communications, 11(1): 4174. doi:  10.1038/s41467-020-17928-5
[44] Tang L, Liu X M, Wang X Q et al., 2020. Statistical analysis of tailings ponds in China. Journal of Geochemical Exploration, 216: 106579. doi:  10.1016/j.gexplo.2020.106579
[45] Tang L, Werner T T, Xie H P et al., 2021. A global-scale spatial assessment and geodatabase of mine areas. Global and Planetary Change, 204: 103578. doi:  10.1016/j.gloplacha.2021.103578
[46] Tao S L, Fang J Y, Zhao X et al., 2015. Rapid loss of lakes on the Mongolian Plateau. Proceedings of the National Academy of Sciences of the United States of America, 112(7): 2281–2286. doi:  10.1073/pnas.1411748112
[47] UN (United Nations), 2015. Transformation our world: the 2030 agenda for sustainable development A/RES/70/1. Available at: http://undocs.org/en/A/RES/70/1.
[48] Walker L R, 1999. Ecosystems of disturbed ground. In: Ecosystems of the World. Amsterdam: Elsevier, 16.
[49] Wang Fei, Zhang Manli, Wang Xuejiao et al., 2021. Generation and pollution characteristics of hazardous wastes from smelting of copper, lead and zinc in China. Journal of Environmental Engineering Technology, 11(5): 1012–1019. (in Chinese)
[50] Wang Z X, Chen J Q, Chai L Y et al., 2011. Environmental impact and site-specific human health risks of chromium in the vicinity of a ferro-alloy manufactory, China. Journal of Hazardous Materials, 190(1-3): 980–985. doi:  10.1016/j.jhazmat.2011.04.039
[51] Werner T T, Mudd G M, Schipper A M et al., 2020. Global-scale remote sensing of mine areas and analysis of factors explaining their extent. Global Environmental Change, 60: 102007. doi:  10.1016/j.gloenvcha.2019.102007
[52] Yang H, Huang X J, Thompson J R et al., 2014. China’s soil pollution: urban brownfields. Science, 344(6185): 691–692. doi:  10.1126/science.344.6185.691-b
[53] Yuan D Z, Hu Z Q, Yang K et al., 2021. Assessment of the ecological impacts of coal mining and restoration in alpine areas: a case study of the Muli coalfield on the Qinghai-Tibet Plateau. IEEE Access, 9: 162919–162934. doi:  10.1109/ACCESS.2021.3133478
[54] Zeng X J, Liu Z F, He C Y et al., 2017. Detecting surface coal mining areas from remote sensing imagery: an approach based on object-oriented decision trees. Journal of Applied Remote Sensing, 11(1): 015025. doi:  10.1117/1.JRS.11.015025
[55] Zhang C, Kuang W H, Wu J G et al., 2021. Industrial land expansion in rural China threatens environmental securities. Frontiers of Environmental Science & Engineering, 15(2): 29. doi:  10.1007/s11783-020-1321-2
[56] Zhang X, Liu L Y, Wu C S et al., 2020. Development of a global 30 m impervious surface map using multisource and multitemporal remote sensing datasets with the Google Earth Engine platform. Earth System Science Data, 12(3): 1625–1648. doi:  10.5194/essd-12-1625-2020
[57] Zhang Z X, Wang X, Zhao X L et al., 2014. A 2010 update of National Land Use/Cover Database of China at 1: 100000 scale using medium spatial resolution satellite images. Remote Sensing of Environment, 149: 142–154. doi:  10.1016/j.rse.2014.04.004