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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Wang, P.[Pan],
Zhao, H.Q.[Heng-Qian],
Yang, Z.H.[Zi-Han],
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
BibRef
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
BibRef
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
BibRef
Chapter on Remote Sensing General Issue, Land Use, Land Cover continues in
Glacial Lake Monitoring .