An Approach to High-Resolution Rice Paddy Mapping Using Time-Series Sentinel-1 SAR Data in the Mun River Basin, Thailand

doi:10.3390/rs12233959

	An Approach to High-Resolution Rice Paddy Mapping Using Time-Series Sentinel-1 SAR Data in the Mun River Basin, Thailand
	Li, He 1; Fu, Dongjie 1; Huang, Chong 1,2; Su, Fenzhen 1; Liu, Qingsheng 1; Liu, Gaohuan 1; Wu, Shangrong 3
刊名	REMOTE SENSING
	2020-12-01
卷号	12 期号:23 页码:19
关键词	rice paddy time-series Sentinel-1 Google Earth Engine permanent water phenological characteristics
DOI	10.3390/rs12233959
通讯作者	Fu, Dongjie(fudj@lreis.ac.cn)
英文摘要	Timely and accurate regional rice paddy monitoring plays a significant role in maintaining the sustainable rice production, food security, and agricultural development. This study proposes an operational automatic approach to mapping rice paddies using time-series SAR data. The proposed method integrates time-series Sentinel-1 data, auxiliary data of global surface water, and rice phenological characteristics with Google Earth Engine cloud computing platform. A total of 402 Sentinel-1 scenes from 2017 were used for mapping rice paddies extent in the Mun River basin. First, the calculated minimum and maximum values of the backscattering coefficient of permanent water (a classification type within global surface water data) in a year was used as the threshold range for extracting the potential extent. Then, three rice phenological characteristics were extracted based on the time-series curve of each pixel, namely the date of the beginning of the season (DBS), date of maximum backscatter during the peak growing season (DMP), and length of the vegetative stage (LVS). After setting a threshold for each phenological parameter, the final rice paddy extent was identified. Rice paddy map produced in this study was highly accurate and agreed well with field plot data and rice map products from the International Rice Research Institute (IRRI). The results had a total accuracy of 89.52% and an F1 score of 0.91, showing that the spatiotemporal pattern of extracted rice cover was consistent with ground truth samples in the Mun River basin. This approach could be expanded to other rice-growing regions at the national scale, or even the entire Indochina Peninsula and Southeast Asia.
资助项目	National Natural Science Foundation of China[41801353] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19060302] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA19060304] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23050101] ; Science and Technology Basic Resources Investigation Program of China[2017FY201401] ; National Key Research and Development Program of China[2017YFD0300403]
WOS关键词	MEKONG DELTA ; CROPPING PATTERNS ; GREENHOUSE GASES ; CROPLAND EXTENT ; AREA ; AGRICULTURE ; FIELDS ; CHINA ; SENSORS ; IMAGES
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
语种	英语
出版者	MDPI
WOS记录号	WOS:000597536500001
资助机构	National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Science and Technology Basic Resources Investigation Program of China ; National Key Research and Development Program of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/136526]
专题	中国科学院地理科学与资源研究所
通讯作者	Fu, Dongjie
作者单位	1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, CAS Engn Lab Yellow River Delta Modern Agr, Beijing 100101, Peoples R China 3.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Key Lab Agr Remote Sensing, Minist Agr & Rural Affairs, Beijing 100081, Peoples R China
推荐引用方式 GB/T 7714	Li, He,Fu, Dongjie,Huang, Chong,et al. An Approach to High-Resolution Rice Paddy Mapping Using Time-Series Sentinel-1 SAR Data in the Mun River Basin, Thailand[J]. REMOTE SENSING,2020,12(23):19.
APA	Li, He.,Fu, Dongjie.,Huang, Chong.,Su, Fenzhen.,Liu, Qingsheng.,...&Wu, Shangrong.(2020).An Approach to High-Resolution Rice Paddy Mapping Using Time-Series Sentinel-1 SAR Data in the Mun River Basin, Thailand.REMOTE SENSING,12(23),19.
MLA	Li, He,et al."An Approach to High-Resolution Rice Paddy Mapping Using Time-Series Sentinel-1 SAR Data in the Mun River Basin, Thailand".REMOTE SENSING 12.23(2020):19.