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High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data
Singha, Mrinal1; Dong, Jinwei1; Zhang, Geli2; Xiao, Xiangming3
2019-04-11
Source PublicationSCIENTIFIC DATA
Volume6Pages:10
Corresponding AuthorDong, Jinwei(dongjw@igsnrr.ac.cn)
AbstractKnowledge of where, when, and how much paddy rice is planted is crucial information for understating of regional food security, freshwater use, climate change, and transmission of avian influenza virus. We developed seasonal paddy rice maps at high resolution (10 m) for Bangladesh and Northeast India, typical cloud-prone regions in South Asia, using cloud-free Synthetic Aperture Radar (SAR) images from Sentinel-1 satellite, the Random Forest classifier, and the Google Earth Engine (GEE) cloud computing platform. The maps were provided for all the three distinct rice growing seasons of the region: Boro, Aus and Aman. The paddy rice maps were evaluated against the independent validation samples, and compared with the existing products from the International Rice Research Institute (IRRI) and the analysis of Moderate Resolution Imaging Spectroradiometer (MODIS) data. The generated paddy rice maps were spatially consistent with the compared maps and had a satisfactory accuracy over 90%. This study showed the potential of Sentinel-1 data and GEE on large scale paddy rice mapping in cloud-prone regions like tropical Asia.
DOI10.1038/s41597-019-0036-3
WOS KeywordRANDOM FOREST
Indexed BySCI
Language英语
Funding ProjectKey Research Program of Frontier Sciences of Chinese Academy of Sciences (CAS)[QYZDB-SSW-DQC005] ; Strategic Priority Research Program of Chinese Academy of Sciences (CAS)[XDA19040301] ; National Institutes of Health[1R01AI10102802A1] ; Thousand Youth Talents Plan ; CAS President's International Fellowship Initiative (PIFI)
Funding OrganizationKey Research Program of Frontier Sciences of Chinese Academy of Sciences (CAS) ; Strategic Priority Research Program of Chinese Academy of Sciences (CAS) ; National Institutes of Health ; Thousand Youth Talents Plan ; CAS President's International Fellowship Initiative (PIFI)
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000464198800003
PublisherNATURE PUBLISHING GROUP
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/48145
Collection中国科学院地理科学与资源研究所
Corresponding AuthorDong, Jinwei
Affiliation1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China
3.Univ Oklahoma, Ctr Spatial Anal, Dept Microbiol & Plant Biol, Norman, OK 73019 USA
Recommended Citation
GB/T 7714
Singha, Mrinal,Dong, Jinwei,Zhang, Geli,et al. High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data[J]. SCIENTIFIC DATA,2019,6:10.
APA Singha, Mrinal,Dong, Jinwei,Zhang, Geli,&Xiao, Xiangming.(2019).High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data.SCIENTIFIC DATA,6,10.
MLA Singha, Mrinal,et al."High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data".SCIENTIFIC DATA 6(2019):10.
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