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DOI10.3390/rs11020128
Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)
Pham Viet Hoa; Nguyen Vu Giang; Nguyen An Binh; Le Vu Hong Hai; Tien-Dat Pham; Hasanlou, Mahdi; Dieu Tien Bui
发表日期2019-01-02
ISSN2072-4292
卷号11期号:2
英文摘要Soil salinity caused by climate change associated with rising sea level is considered as one of the most severe natural hazards that has a negative effect on agricultural activities in the coastal areas in most tropical climates. This issue has become mor
关键词soil salinitysentinelmachine learningMekong river deltaVietnam
学科领域Remote Sensing
语种英语
WOS记录号WOS:000457939400025
来源期刊REMOTE SENSING
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/83866
作者单位Duy Tan Univ, Inst Res & Dev, Da Nang 550000, Vietnam
推荐引用方式
GB/T 7714
Pham Viet Hoa,Nguyen Vu Giang,Nguyen An Binh,et al. Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)[J],2019,11(2).
APA Pham Viet Hoa.,Nguyen Vu Giang.,Nguyen An Binh.,Le Vu Hong Hai.,Tien-Dat Pham.,...&Dieu Tien Bui.(2019).Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam).REMOTE SENSING,11(2).
MLA Pham Viet Hoa,et al."Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam)".REMOTE SENSING 11.2(2019).
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