Spatiotemporal change analysis of environmental quality in mining areas based on long-term landsat images

References

• Breiman L. 2001. Random forests. Mach Learn. 45(1):5–32.
   Web of Science ®Google Scholar
• Chen C, Fu J, Zhang S, Zhao X. 2019. Coastline information extraction based on the tasseled cap transformation of Landsat-8 OLI images. Estuarine Coastal Shelf Sci. 217:281–291.
   Web of Science ®Google Scholar
• Cheng SP, Gu HH, Song W, Ai YJ, Zhang YX, Lu S. 2021. Study on the ecological disturbance monitoring in mining area based on remote sensing information: taking Qian'an City as an example. Metal Mine. 50(05):182.
   Google Scholar
• Crist EP. 1985. A TM tasseled cap equivalent transformation for reflectance factor data. Remote Sens Environ. 17(3):301–306.
   Web of Science ®Google Scholar
• Foody GM. 2007. Ecological applications of remote sensing and GIS. Ecol Inf. 2(2):71–72.
   Web of Science ®Google Scholar
• Goward SN, Xue Y, Czajkowski KP. 2002. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation index measurements: an exploration with the simplified simple biosphere model. Remote Sens Environ. 79(2–3):225–242.
   Web of Science ®Google Scholar
• Huang DH, Wu CY, Han JZ. 1989. REE geochemistry and mineralization characteristics of the Zudong and Guanxi granites, Jiangxi Province. Acta Geol Sin. 2(2):139–157.
   Web of Science ®Google Scholar
• Jiang CL, Wu L, Liu D, Wang SM. 2019. Dynamic monitoring of eco-environmental quality in arid desert area by remote sensing: taking the Gurbantunggut Desert China as an example. J Appl Ecol. 30(3):877–883.
   Google Scholar
• Li HK, Wu LX, Liu XS. 2014. Change detection of ground-surface environment in rare earth mining area based on multi-temporal remote sensing: a case in Lingbei rare earth mining area. J China Univ Mining Technol. 43(6):1087–1094.
   Google Scholar
• Li HK, 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. J Environ Manage. 267:110653.
   PubMed Web of Science ®Google Scholar
• Li HK. 2019. Multi-source remote sensing monitoring method of surface environment in ion adsorption rare earth mining area. Beijing: Metallurgical Industry Press; p. 1–11.
   Google Scholar
• Li J, Hao YH, Sun JM, Zhuo YG, Qin J, Yin F. 2021. Evaluation of ecological environment'spatio-temporal variation in urban mine based on Rsei. Urban Dev Stud. 28(01):17–22.
   Google Scholar
• Li Y, Li H, Xu F. 2021. Spatiotemporal changes in desertified land in rare earth mining areas under different disturbance conditions[J]. Environ Sci Pollut Res. 28(23): 30323–30334.
   Google Scholar
• Liu QH, Wu JJ, Li L, Yu L, Li J, Xin XZ. 2018. Ecological environment monitoring for sustainable development goals in the Belt and Road region. J Remote Sensing. 22(04):686–708.
   Google Scholar
• Liu W-S, Guo M-N, Liu C, Yuan M, Chen X-T, Huot H, Zhao C-M, Tang Y-T, Morel JL, Qiu R-L. 2019. Water, sediment and agricultural soil contamination from an ion-adsorption rare earth mining area. Chemosphere. 216:75–83.
   PubMed Web of Science ®Google Scholar
• Luo CG, Luo XP, Su J, Chen CF, Han DX. 2014. Environmental problems and treatment measures in ionic-type rare earth mine. Metal Mine. 43(06):91.
   Google Scholar
• Malekmohammadi B, Blouchi LR. 2014. Ecological risk assessment of wetland ecosystems using multi criteria decision making and geographic information system. Ecol Indic. 41:133–144.
   Web of Science ®Google Scholar
• Ministry of Water Resources. 2006. Announcement on division of national key soil and water loss prevention and control areas. Beijing.
   Google Scholar
• Peng Y, He GJ, Zhang ZM, Jiang W, Ouyang ZY, Wang GZ. 2016. Eco-environmental dynamic monitoring and assessment of rare earth mining area in Southern Ganzhou using remote sensing. Acta Ecol Sin. 36(6):1676–1685.
   Google Scholar
• Qin ZH, Zhang MH, Karnieli A, et al. 2001. Mono window algorithm for retrieving land surface temperature from landsat TM6 data. Acta Geogr Sin. 56(04):456–466.
   Google Scholar
• Rikimaru A, Roy PS, Miyatake S. 2002. Tropical forest cover density mapping. Trop Ecol. 43(1):39–47.
   Google Scholar
• Shi SE, Wei W, Yang D, Hu X, Zhou JJ, Zhang Q. 2018. Spatial and temporal evolution of eco-environmental quality in the oasis of Shiyang River Basin based on RSEDI. Chin J Ecol. 37(4):1152–1163.
   Google Scholar
• State Environmental Protection Administration. 2006. Technical criterion for eco-environmental status evaluation (HJ/T192-2006). Beijing: China Environmental Science Press. (in Chinese).
   Google Scholar
• The State Council of the People’ s Republic of China. 2011. Several opinions of the State Council on promoting the sustainable and healthy development of the rare earth industry [2011] No. 12[A/OL]. (2011-05-10).
   Google Scholar
• Wang J, Yang XM, Sui LJ, Kang JM, Wang ZH. 2019. Dynamic change monitoring and landscape pattern analysis of vegetation coverage in Xi'an city from 1995 to 2016. Ecol Sci. 38(06):81–91.
   Google Scholar
• Wang SY, Zhang XX, Zhu T, Yang W, Zhao JY. 2016. Assessment of ecological environment quality in the Changbai Mountain Nature Reserve based on remote sensing technology. Prog Geogr. 35:1269–1278.
   Google Scholar
• Wang XJ, Wu JX, Jiang HP. 2017. Dynamic assessment and trend prediction of rural ecoenvironmental quality in China[J]. J Nat Res. 32(5):864–876.
   Google Scholar
• Werner TT, Bebbington A, Gregory G. 2019. Assessing impacts of mining: Recent contributions from GIS and remote sensing. Extr Ind Soc. 6(3):993–1012.
   Google Scholar
• Xia N. 2018. Study on remote sensing monitoring of eco-environment and assessment model of ecological quality in Zhundong Mining Region. Xinjiang: Xinjiang University.
   Google Scholar
• Xu F, Li HK, Li YS. 2021. Ecological environment quality evaluation and evolution analysis of a rare earth mining area under different disturbance conditions. Environ Geochem Health. 43(6):2243–2256.
   PubMed Web of Science ®Google Scholar
• Xu H. 2008. A new index for delineating built‐up land features in satellite imagery. Int J Remote Sens. 29(14):4269–4276.
   Web of Science ®Google Scholar
• Xu HQ. 2013a. A remote sensing urban ecological index and its application. Acta Ecol Sin. 33(24):7853–7862.
   Google Scholar
• Xu HQ. 2013b. A remote sensing index for assessment of regional ecological changes. China Environ Sci. 33(5):889–897.
   Google Scholar
• Xu ZW. 2019. Research on complex network roconistruction algorithm based on random forest. Suzhou Soochow University.
   Google Scholar
• Zhang ZQ, Zhang XC, Xin CC, Yang XL. 2018. Combining the pixel-based and object-based methods for building change detection using high-resolution remote sensing images. Acta Geod Cartographica Sin. 47(1):102.
   Google Scholar
• Zhou JX, Zhu JJ, Zuo TY. 2006. A method of the tasseled cap transformation for IKONOS images. Mine Surv. 000(001):13–14,50.
   Google Scholar