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

Lu, B.[Bo], Zhu, J.[Jichen], Ge, Y.F.[Yun-Feng], Chen, Q.[Qian], Wen, Z.X.[Zhong-Xu], Liu, G.[Geng], Li, L.Q.[Liang-Quan],
Automated Determination of the Volume of Loose Engineering Deposits Using Terrestrial Laser Scanning,
RS(15), No. 18, 2023, pp. 4604.
DOI Link 2310

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

Last update:Dec 8, 2023 at 20:54:15