Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/203381 
Year of Publication: 
2018
Series/Report no.: 
ADB Economics Working Paper Series No. 541
Publisher: 
Asian Development Bank (ADB), Manila
Abstract: 
Despite a growing interest in using satellite data to estimate paddy rice yield in Southeast Asia, significant cloud coverage has led to a scarcity of usable optical data for such analysis. In this paper, we study the feasibility of using two alternative sources of satellite data - (i) surface reflectance fusion data which integrates Landsat and Moderate Resolution Imaging Spectroradiometer (MODIS) images, and (ii) L-band radar backscatter data from the Advanced Land Observing Satellite 2 (ALOS-2) PALSAR-2 sensors - to circumvent the cloud cover problem and estimate yield in Thai Binh Province, Viet Nam during the second growing season of 2015. Our findings indicate that although Landsat - MODIS fusion data are not necessarily beneficial for paddy rice mapping when compared with only using Landsat data, fusion data allows us to estimate the peak value of various vegetation indexes and derive the best empirical relationship between these indexes and yield data from the field. We also find that the L-band radar data not only has a lower performance in paddy rice mapping when compared with optical data, but also contributes little to rice yield estimation.
Subjects: 
agriculture
ALOS-2
crop cutting
crop yield
Fusion
Landsat
MODIS
paddy rice
remote sensing
Viet Nam
JEL: 
C40
O13
Q18
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Working Paper

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