22.5.3 Tailings Ponds, Mine Tailings

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Tailings Ponds.
See also Surface Deformation From SAR Applied to Mine Subsidence.

de Lucia Lobo, F.[Felipe], Costa, M.[Maycira], de Moraes Novo, E.M.L.[Evlyn Márcia Leão], Telmer, K.[Kevin],
Effects of Small-Scale Gold Mining Tailings on the Underwater Light Field in the Tapajós River Basin, Brazilian Amazon,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708

Rauhala, A.[Anssi], Tuomela, A.[Anne], Davids, C.[Corine], Rossi, P.M.[Pekka M.],
UAV Remote Sensing Surveillance of a Mine Tailings Impoundment in Sub-Arctic Conditions,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link 1802

Jeong, Y.[Yongsik], Yu, J.[Jaehyung], Wang, L.[Lei], Shin, J.H.[Ji Hye],
Spectral Responses of As and Pb Contamination in Tailings of a Hydrothermal Ore Deposit: A Case Study of Samgwang Mine, South Korea,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812

Mura, J.C.[José C.], Gama, F.F.[Fábio F.], Paradella, W.R.[Waldir R.], Negrão, P.[Priscila], Carneiro, S.[Samuel], de Oliveira, C.G.[Cleber G.], Brandão, W.S.[Waldiza S.],
Monitoring the Vulnerability of the Dam and Dikes in Germano Iron Mining Area after the Collapse of the Tailings Dam of Fundão (Mariana-MG, Brazil) Using DInSAR Techniques with TerraSAR-X Data,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811

Kerfoot, W.C.[W. Charles], Hobmeier, M.M.[Martin M.], Green, S.A.[Sarah A.], Yousef, F.[Foad], Brooks, C.N.[Colin N.], Shuchman, R.[Robert], Sayers, M.[Mike], Lin, L.[Lihwa], Luong, P.[Phu], Hayter, E.[Earl], Reif, M.[Molly],
Coastal Ecosystem Investigations with LiDAR (Light Detection and Ranging) and Bottom Reflectance: Lake Superior Reef Threatened by Migrating Tailings,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905

Kerfoot, W.C.[W. Charles], Hobmeier, M.M.[Martin M.], Swain, G.[Gary], Regis, R.[Robert], Raman, V.K.[Varsha K.], Brooks, C.N.[Colin N.], Grimm, A.[Amanda], Cook, C.[Chris], Shuchman, R.[Robert], Reif, M.[Molly],
Coastal Remote Sensing: Merging Physical, Chemical, and Biological Data as Tailings Drift onto Buffalo Reef, Lake Superior,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107

Porsani, J.L.[Jorge Luís], de Jesus, F.A.N.[Felipe Augusto Nascimento], Stangari, M.C.[Marcelo Cesar],
GPR Survey on an Iron Mining Area after the Collapse of the Tailings Dam I at the Córrego do Feijão Mine in Brumadinho-MG, Brazil,
RS(11), No. 7, 2019, pp. xx-yy.
DOI Link 1904

Martín-Crespo, T.[Tomás], Gómez-Ortiz, D.[David], Martín-Velázquez, S.[Silvia], Martínez-Pagán, P.[Pedro], de Ignacio-San José, C.[Cristina], Lillo, J.[Javier], Faz, Á.[Ángel],
Abandoned Mine Tailings Affecting Riverbed Sediments in the Cartagena-La Union District, Mediterranean Coastal Area (Spain),
RS(12), No. 12, 2020, pp. xx-yy.
DOI Link 2006

Li, Q.T.[Qing-Ting], Chen, Z.C.[Zheng-Chao], Zhang, B.[Bing], Li, B.P.[Bai-Peng], Lu, K.X.[Kai-Xuan], Lu, L.L.[Lin-Lin], Guo, H.D.[Hua-Dong],
Detection of Tailings Dams Using High-Resolution Satellite Imagery and a Single Shot Multibox Detector in the Jing-Jin-Ji Region, China,
RS(12), No. 16, 2020, pp. xx-yy.
DOI Link 2008

Lyu, J.J.[Jian-Jun], Hu, Y.[Ying], Ren, S.L.[Shu-Liang], Yao, Y.[Yao], Ding, D.[Dan], Guan, Q.F.[Qing-Feng], Tao, L.F.[Liu-Feng],
Extracting the Tailings Ponds from High Spatial Resolution Remote Sensing Images by Integrating a Deep Learning-Based Model,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103

Yan, D.C.[Dong-Chuan], Li, G.Q.[Guo-Qing], Li, X.Q.[Xiang-Qiang], Zhang, H.[Hao], Lei, H.[Hua], Lu, K.X.[Kai-Xuan], Cheng, M.H.[Ming-Hua], Zhu, F.[Fuxiao],
An Improved Faster R-CNN Method to Detect Tailings Ponds from High-Resolution Remote Sensing Images,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106

Yan, D.C.[Dong-Chuan], Zhang, H.[Hao], Li, G.Q.[Guo-Qing], Li, X.Q.[Xiang-Qiang], Lei, H.[Hua], Lu, K.X.[Kai-Xuan], Zhang, L.C.[Lian-Chong], Zhu, F.[Fuxiao],
Improved Method to Detect the Tailings Ponds from Multispectral Remote Sensing Images Based on Faster R-CNN and Transfer Learning,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201

Cheng, D.Q.[De-Qiang], Cui, Y.F.[Yi-Fei], Li, Z.H.[Zhen-Hong], Iqbal, J.[Javed],
Watch Out for the Tailings Pond, a Sharp Edge Hanging over Our Heads: Lessons Learned and Perceptions from the Brumadinho Tailings Dam Failure Disaster,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105

Wu, H.[Hao], Zheng, X.Y.[Xiang-Yuan], Fan, H.D.[Hong-Dong], Tian, Z.[Zeming],
Deformation Monitoring of Tailings Reservoir Based on Polarimetric Time Series InSAR: Example of Kafang Tailings Reservoir, China,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208

Martín-Velázquez, S.[Silvia], Rodríguez-Santalla, I.[Inmaculada], Ropero-Szymañska, N.[Nikoletta], Gomez-Ortiz, D.[David], Martín-Crespo, T.[Tomás], de Ignacio-San José, C.[Cristina],
Geomorphological Mapping and Erosion of Abandoned Tailings in the Hiendelaencina Mining District (Spain) from Aerial Imagery and LiDAR Data,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209

Wang, P.[Pan], Zhao, H.Q.[Heng-Qian], Yang, Z.[Zihan], Jin, Q.[Qian], Wu, Y.H.[Yan-Hua], Xia, P.J.[Peng-Jiu], Meng, L.X.[Ling-Xuan],
Fast Tailings Pond Mapping Exploiting Large Scene Remote Sensing Images by Coupling Scene Classification and Sematic Segmentation Models,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301

Sun, Z.H.[Zhen-Hui], Li, P.H.[Pei-Hang], Meng, Q.Y.[Qing-Yan], Sun, Y.X.[Yun-Xiao], Bi, Y.X.[Ya-Xin],
An Improved YOLOv5 Method to Detect Tailings Ponds from High-Resolution Remote Sensing Images,
RS(15), No. 7, 2023, pp. 1796.
DOI Link 2304

Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Glacial Lake Monitoring .

Last update:Aug 31, 2023 at 09:37:21