Large dam candidate region identification from multi-source remote sensing images via a random forest and spatial analysis approach

References

• Belgiu, Mariana, and Lucian Drăguţ. 2016. “Random Forest in Remote Sensing: A Review of Applications and Future Directions.” ISPRS Journal of Photogrammetry and Remote Sensing 114: 24–31. https://doi.org/10.1016/j.isprsjprs.2016.01.011.
   Web of Science ®Google Scholar
• Benhammou, Y., D. Alcaraz-Segura, E. Guirado, R. Khaldi, B. Achchab, F. Herrera, and S. Tabik. 2022. “Sentinel2GlobalLULC: A Sentinel-2 RGB Image Tile Dataset for Global Land use/Cover Mapping with Deep Learning.” Scientific Data 9 (1): 681. https://doi.org/10.1038/s41597-022-01775-8.
   PubMed Web of Science ®Google Scholar
• Bidkar, Pravin Shivaji, Ram Kumar, and Abhijyoti Ghosh. 2022. “SegNet and Salp Water Optimization-Driven Deep Belief Network for Segmentation and Classification of Brain Tumor.” Gene Expression Patterns 45: 119248. https://doi.org/10.1016/j.gep.2022.119248.
   PubMed Web of Science ®Google Scholar
• Brown, Christopher F., Steven P. Brumby, Brookie Guzder-Williams, Tanya Birch, Samantha Brooks Hyde, Joseph Mazzariello, Wanda Czerwinski, et al. 2022. “Dynamic World, Near Real-Time Global 10 m Land use Land Cover Mapping.” Scientific Data 9: 1. https://doi.org/10.1038/s41597-022-01307-4.
   PubMed Web of Science ®Google Scholar
• Buchanan, B. P., S. A. Sethi, S. Cuppett, M. Lung, G. Jackman, L. Zarri, E. Duvall, et al. 2022. “A Machine Learning Approach to Identify Barriers in Stream Networks Demonstrates High Prevalence of Unmapped Riverine Dams.” Journal of Environmental Management 302 (Pt A): 113952. https://doi.org/10.1016/j.jenvman.2021.113952.
   PubMedGoogle Scholar
• Chen, Hui, Sensen Chu, Qizhi Zhuang, Zhixin Duan, Jian Cheng, Jizhe Li, Li Ye, Jun Yu, and Liang Cheng. 2023. “FSPN: End-to-end Full-Space Pooling Weakly Supervised Network for Benthic Habitat Mapping Using Remote Sensing Images.” International Journal of Applied Earth Observation and Geoinformation 118. https://doi.org/10.1016/j.jag.2023.103264.
   Web of Science ®Google Scholar
• Chen, Gaoxiang, Qun Li, Fuqian Shi, Islem Rekik, and Zhifang Pan. 2020. “RFDCR: Automated Brain Lesion Segmentation Using Cascaded Random Forests with Dense Conditional Random Fields.” NeuroImage 211: 116620. https://doi.org/10.1016/j.neuroimage.2020.116620.
   PubMed Web of Science ®Google Scholar
• Chen, Wanhui, Liangyun Liu, Chao Zhang, Jihua Wang, Jindi Wang, and Yuchun Pan. 2004. “Monitoring the Seasonal Bare Soil Areas in Beijing Using Multi-Temporal TM Images.” IEEE International Geoscience and Remote Sensing Symposium 5: 3379–3382. https://doi.org/10.1109/IGARSS.2004.1370429.
   Google Scholar
• Chen, Shenglong, Yoshiki Ogawa, Chenbo Zhao, and Yoshihide Sekimoto. 2023. “Large-scale Individual Building Extraction from Open-Source Satellite Imagery via Super-Resolution-Based Instance Segmentation Approach.” ISPRS Journal of Photogrammetry and Remote Sensing 195: 129–152. https://doi.org/10.1016/j.isprsjprs.2022.11.006.
   Web of Science ®Google Scholar
• Ettazarini, Said. 2021. “GIS-based Land Suitability Assessment for Check Dam Site Location, Using Topography and Drainage Information: A Case Study from Morocco.” Environmental Earth Sciences 80 (1): 17. https://doi.org/10.1007/s12665-021-09881-3.
   Google Scholar
• Fan, Runyu, Ruyi Feng, Lizhe Wang, Jining Yan, and Xiaohan Zhang. 2020. “Semi-MCNN: A Semisupervised Multi-CNN Ensemble Learning Method for Urban Land Cover Classification Using Submeter HRRS Images.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 13: 4973–4987. https://doi.org/10.1109/jstars.2020.3019410.
   Web of Science ®Google Scholar
• Fang, Weizhen, Cunguang Wang, Xi Chen, Wei Wan, Huan Li, Siyu Zhu, Yu Fang, Baojian Liu, and Yang Hong. 2019. “Recognizing Global Reservoirs from Landsat 8 Images: A Deep Learning Approach.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (9): 3168–3177. https://doi.org/10.1109/JSTARS.2019.2929601.
   Web of Science ®Google Scholar
• Gao, Fang, Yihui Li, Peng Zhang, Yuwei Zhai, Yan Zhang, Yongshuai Yang, and Yuan An. 2022. “A High-Resolution Panchromatic-Multispectral Satellite Image Fusion Method Assisted with Building Segmentation.” Computers & Geosciences 168: 105219. https://doi.org/10.1016/j.cageo.2022.105219.
   Web of Science ®Google Scholar
• Gholami, V., and M. R. Khaleghi. 2021. “Performance-Based Analysis of Earth Dams: A Case Study of Hajji Qushan Watershed, Iran.” Modeling Earth Systems and Environment 8 (2): 1585–1596. https://doi.org/10.1007/s40808-021-01168-7.
   Web of Science ®Google Scholar
• Gitelson, Anatoly A., Andrés Viña, Timothy J. Arkebauer, Donald C. Rundquist, Galina Keydan, and Bryan Leavitt. 2003. “Remote Estimation of Leaf Area Index and Green Leaf Biomass in Maize Canopies.” Geophysical Research Letters 30: 5. https://doi.org/10.1029/2002GL016450.
   Web of Science ®Google Scholar
• Gong, P., H. Liu, M. Zhang, C. Li, J. Wang, H. Huang, N. Clinton, 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.” Sci Bull (Beijing) 64 (6): 370–373. https://doi.org/10.1016/j.scib.2019.03.002.
   PubMed Web of Science ®Google Scholar
• Guo, Qian, and Quansheng Dou. 2021. “Semantic Image Segmentation Based on SegNetWithCRFs.” Procedia Computer Science 187: 300–306. https://doi.org/10.1016/j.procs.2021.04.066.
   Google Scholar
• Huete, A. R. 1988. “A Soil-Adjusted Vegetation Index (SAVI).” Remote Sensing of Environment 25 (3): 295–309. https://doi.org/10.1016/0034-4257(88)90106-X.
   Web of Science ®Google Scholar
• Izquierdo-Verdiguier, Emma, and Raúl Zurita-Milla. 2020. “An Evaluation of Guided Regularized Random Forest for Classification and Regression Tasks in Remote Sensing.” International Journal of Applied Earth Observation and Geoinformation 88. https://doi.org/10.1016/j.jag.2020.102051.
   PubMed Web of Science ®Google Scholar
• Jing, Min, Liang Cheng, Chen Ji, Junya Mao, Ning Li, ZhiXing Duan, ZeMing Li, and ManChun Li. 2021. “Detecting Unknown Dams from High-Resolution Remote Sensing Images: A Deep Learning and Spatial Analysis Approach.” International Journal of Applied Earth Observation and Geoinformation 104. https://doi.org/10.1016/j.jag.2021.102576.
   Web of Science ®Google Scholar
• Jing, Min, Liang Cheng, Chen Ji, Junya Mao, Ning Li, ZhiXing Duan, ZeMing Li, and ManChun Li. 2021. “Detecting unknown dams from high-resolution remote sensing images: A deep learning and spatial analysis approach.” International Journal of Applied Earth Observation and Geoinformation 104. http://doi.org/10.1016/j.jag.2021.102576.
   Web of Science ®Google Scholar
• Jing, Yafei, Yuhuan Ren, Yalan Liu, Dacheng Wang, and Linjun Yu. 2022. “Dam Extraction from High-Resolution Satellite Images Combined with Location Based on Deep Transfer Learning and Post-Segmentation with an Improved MBI.” Remote Sensing 14: 16. https://doi.org/10.3390/rs14164049.
   Google Scholar
• Kang, Liu, and Gellert Mattyus. 2015. “Fast Multiclass Vehicle Detection on Aerial Images.” IEEE Geoscience and Remote Sensing Letters 12 (9): 1938–1942. https://doi.org/10.1109/lgrs.2015.2439517.
   Web of Science ®Google Scholar
• Le Dréan, Y., P. H. Conze, M. Hatt, D. Visvikis, and B. Badic. 2021. “Segmentation Automatique par DeepLearning en Contexte de Métastases Hépatiques de Cancer du Côlon.” Journal de Chirurgie Viscérale 158 (4): S64. https://doi.org/10.1016/j.jchirv.2021.06.056.
   Google Scholar
• Lee, Yoon-Kyung, Sang-Hoon Hong, and Sang-Wan Kim. 2021. “Monitoring of Water Level Change in a Dam from High-Resolution SAR Data.” Remote Sensing 13: 18. https://doi.org/10.3390/rs13183641.
   Google Scholar
• Lehner, B., C. Reidy Liermann, C. Revenga, C. Vorosmarty, B. Fekete, P. Crouzet, P. Doll, et al. 2011. “Global Reservoir and Dam Database, Version 1 (GRanDv1): Dams, Revision 01.” In Palisades. New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4N877QK.
   Google Scholar
• Li, Ning, Liang Cheng, Lingyong Huang, Chen Ji, Min Jing, Zhixin Duan, Jingjing Li, and Manchun Li. 2021. “Framework for Unknown Airport Detection in Broad Areas Supported by Deep Learning and Geographic Analysis.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 6328–6338. https://doi.org/10.1109/jstars.2021.3088911.
   Web of Science ®Google Scholar
• Li, M., W. Dai, M. Fan, W. Qian, X. Yang, Y. Tao, and C. Zhao. 2023. “Combining Deep Learning and Hydrological Analysis for Identifying Check Dam Systems from Remote Sensing Images and DEMs in the Yellow River Basin.” International Journal of Environmental Research and Public Health 20: 5. https://doi.org/10.3390/ijerph20054636.
   Google Scholar
• Liu, Haoyang, Tao Liu, Yanzhen Gu, Peiliang Li, Fangguo Zhai, Hui Huang, and Shuangyan He. 2021. “A High-Density Fish School Segmentation Framework for Biomass Statistics in a Deep-Sea Cage.” Ecological Informatics 64: 101367. https://doi.org/10.1016/j.ecoinf.2021.101367.
   Web of Science ®Google Scholar
• Mao, J., L. Cheng, C. Ji, M. Jing, Z. Duan, N. Li, Z. Gesang, and M. Li. 2022. “Verification of Dam Spatial Location in Open Datasets Based on Geographic Knowledge and Deep Learning.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15: 7277–7287. https://doi.org/10.1109/JSTARS.2022.3199249.
   Web of Science ®Google Scholar
• Martínez-Gomariz, Eduardo, Carlos Barbero, Martí Sanchez-Juny, Edwar Forero-Ortiz, and Marcos Sanz-Ramos. 2023. “Dams or Ponds Classification Based on a New Criterion to Assess Potential Flood Damage to Roads in Case of Failure.” Natural Hazards 117 (1): 625–653. https://doi.org/10.1007/s11069-023-05875-5.
   Web of Science ®Google Scholar
• Medeiros, Marcelo B., Washington L. Oliveira, Flávio R. O. Rodrigues, Renata D. Silva, Íris J. K. Ferreira, Wellyngton E. Ayala, Suelma R. Silva, Rafaela T. Souza, and Marcelo F. Simon. 2023. “Monitoring the Impacts of a Mega-dam on Amazonian Understorey Herbs.” Forest Ecology and Management 536: 120909. https://doi.org/10.1016/j.foreco.2023.120909.
   Web of Science ®Google Scholar
• Mulligan, Mark, Arnout van Soesbergen, and Leonardo Sáenz. 2020. “GOODD, a Global Dataset of More Than 38,000 Georeferenced Dams.” Scientific Data 7 (1): 31. https://doi.org/10.1038/s41597-020-0362-5.
   PubMed Web of Science ®Google Scholar
• Navarro, Alejandro, Mary Young, Blake Allan, Paul Carnell, Peter Macreadie, and Daniel Ierodiaconou. 2020. “The Application of Unmanned Aerial Vehicles (UAVs) to Estimate Above-Ground Biomass of Mangrove Ecosystems.” Remote Sensing of Environment 242: 111747. https://doi.org/10.1016/j.rse.2020.111747.
   Web of Science ®Google Scholar
• Phiri, Darius, and Justin Morgenroth. 2017. “Developments in Landsat Land Cover Classification Methods: A Review.” Remote Sensing 9: 9. https://doi.org/10.3390/rs9090967.
   Web of Science ®Google Scholar
• Poff, N. Leroy, and David D. Hart. 2002. “How Dams Vary and Why It Matters for the Emerging Science of Dam Removal: An Ecological Classification of Dams Is Needed to Characterize How the Tremendous Variation in the Size, Operational Mode, Age, and Number of Dams in a River Basin Influences the Po.” BioScience 52 (8): 659–668. https://doi.org/10.1641/0006-3568(2002)052[0659:HDVAWI]2.0.CO;2.
   Web of Science ®Google Scholar
• Rose, Rodrigo L., Sohan R. Mugi, and Joseph Homer Saleh. 2023. “Accident Investigation and Lessons Not Learned: AcciMap Analysis of Successive Tailings Dam Collapses in Brazil.” Reliability Engineering & System Safety: 109308. https://doi.org/10.1016/j.ress.2023.109308.
   Web of Science ®Google Scholar
• Suhara, K. K. Shaheemath, V. Ravikumar, Balaji Kannan, and S. Panneerselvam. 2022. “Mapping the Potential Regions for the Construction of Cement Concrete Check Dams Using Remote Sensing and GIS.” Journal of the Indian Society of Remote Sensing 50 (11): 2193–2208. https://doi.org/10.1007/s12524-022-01591-y.
   Web of Science ®Google Scholar
• Tian, Fuyou, Bingfang Wu, Hongwei Zeng, Xin Zhang, and Jiaming Xu. 2019. “Efficient Identification of Corn Cultivation Area with Multitemporal Synthetic Aperture Radar and Optical Images in the Google Earth Engine Cloud Platform.” Remote Sensing 11: 6. https://doi.org/10.3390/rs11060629.
   Web of Science ®Google Scholar
• Tu, Jun, Fei Gao, Jinping Sun, Amir Hussain, and Huiyu Zhou. 2021. “Airport Detection in SAR Images Via Salient Line Segment Detector and Edge-Oriented Region Growing.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14: 314–326. https://doi.org/10.1109/jstars.2020.3036052.
   Web of Science ®Google Scholar
• Tucker, Compton J. 1979. “Red and Photographic Infrared Linear Combinations for Monitoring Vegetation.” Remote Sensing of Environment 8 (2): 127–150. https://doi.org/10.1016/0034-4257(79)90013-0.
   Web of Science ®Google Scholar
• Vali, Ava, Sara Comai, and Matteo Matteucci. 2020. “Deep Learning for Land Use and Land Cover Classification Based on Hyperspectral and Multispectral Earth Observation Data: A Review.” Remote Sensing 12: 15. https://doi.org/10.3390/rs12152495.
   Google Scholar
• Wei, Jing, Wei Huang, Zhanqing Li, Lin Sun, Xiaolin Zhu, Qiangqiang Yuan, Lei Liu, and Maureen Cribb. 2020. “Cloud Detection for Landsat Imagery by Combining the Random Forest and Superpixels Extracted via Energy-Driven Sampling Segmentation Approaches.” Remote Sensing of Environment 248: 112005. https://doi.org/10.1016/j.rse.2020.112005.
   Web of Science ®Google Scholar
• Weit, A., B. Mourier, T. Fretaud, and T. Winiarski. 2023. “Combined Usage of Geophysical Methods in Continental Water Bodies, Their Benefits and Challenging Issues: A Special Focus on Sediment Deposits in dam Reservoirs.” Journal of Applied Geophysics, 105036. https://doi.org/10.1016/j.jappgeo.2023.105036.
   Web of Science ®Google Scholar
• Xiao, Xiangming, Qingyuan Zhang, Scott Saleska, Lucy Hutyra, Plinio De Camargo, Steven Wofsy, Stephen Frolking, Stephen Boles, Michael Keller, and Berrien Moore. 2005. “Satellite-based Modeling of Gross Primary Production in a Seasonally Moist Tropical Evergreen Forest.” Remote Sensing of Environment 94 (1): 105–122. https://doi.org/10.1016/j.rse.2004.08.015.
   Web of Science ®Google Scholar
• Yang, Tiejun, Jikun Song, and Lei Li. 2019. “A Deep Learning Model Integrating SK-TPCNN and Random Forests for Brain Tumor Segmentation in MRI.” Biocybernetics and Biomedical Engineering 39 (3): 613–623. https://doi.org/10.1016/j.bbe.2019.06.003.
   Web of Science ®Google Scholar
• Zeng, Fanxuan, Liang Cheng, Ning Li, Nan Xia, Lei Ma, Xiao Zhou, and Manchun Li. 2019. “A Hierarchical Airport Detection Method Using Spatial Analysis and Deep Learning.” Remote Sensing 11: 19. https://doi.org/10.3390/rs11192204.
   Web of Science ®Google Scholar