Using temporal MODIS data to detect paddy rice in Red River Delta

Information on the area and spatial distribution ofpaddy rice fields is needed for food security, management of water resources, and estimation of Methan emission as well. MODIS remote sensing data including visible bands, near infrared band and short wave infrared band is foundation of calcul...

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Bibliographic Details
Main Author: Doan, Ha Phong
Format: Article
Language:English
Published: ĐHQGHN 2017
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Online Access:http://repository.vnu.edu.vn/handle/VNU_123/56573
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Institution: Vietnam National University, Hanoi
Language: English
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Summary:Information on the area and spatial distribution ofpaddy rice fields is needed for food security, management of water resources, and estimation of Methan emission as well. MODIS remote sensing data including visible bands, near infrared band and short wave infrared band is foundation of calculating vegetation indices such as NDVI, EVI and LSWI. These remote sensing indices are very sensitive and strongly correlativeto physiological status of plant, they are useful means for detecting and mapping paddy rice. This paper focus on an algorithm that uses time series of these vegetation indices to identify paddy rice areas based on sensivity of LSWI to the increased surface moisture during the period of flooding and rice transplanting.