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

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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Main Author: Doan, Ha Phong
Format: Article
Language:English
Published: ĐHQGHN 2017
Subjects:
Remote Sensing
Paddy rice
NDVI
LSWI
Red River Delta
Online Access:http://repository.vnu.edu.vn/handle/VNU_123/56573
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Institution: Vietnam National University, Hanoi
Language: English
id oai:112.137.131.14:VNU_123-56573
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spelling oai:112.137.131.14:VNU_123-565732018-08-29T08:25:11Z Using temporal MODIS data to detect paddy rice in Red River Delta Doan, Ha Phong Remote Sensing Paddy rice NDVI LSWI 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 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. 2017-08-11T08:14:12Z 2017-08-11T08:14:12Z 2012 Article Doan, H. P. (2012). Using temporal MODIS data to detect paddy rice in Red River Delta. VNU Journal of Science, Earth Sciences 28 (2012) 100-105 0866-8612 http://repository.vnu.edu.vn/handle/VNU_123/56573 en VNU Journal of Science, Earth Sciences application/pdf ĐHQGHN
institution Vietnam National University, Hanoi
building VNU Library & Information Center
country Vietnam
collection VNU Digital Repository
language English
topic Remote Sensing
Paddy rice
NDVI
LSWI
Red River Delta
spellingShingle Remote Sensing
Paddy rice
NDVI
LSWI
Red River Delta
Doan, Ha Phong
Using temporal MODIS data to detect paddy rice in Red River Delta
description 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.
format Article
author Doan, Ha Phong
author_facet Doan, Ha Phong
author_sort Doan, Ha Phong
title Using temporal MODIS data to detect paddy rice in Red River Delta
title_short Using temporal MODIS data to detect paddy rice in Red River Delta
title_full Using temporal MODIS data to detect paddy rice in Red River Delta
title_fullStr Using temporal MODIS data to detect paddy rice in Red River Delta
title_full_unstemmed Using temporal MODIS data to detect paddy rice in Red River Delta
title_sort using temporal modis data to detect paddy rice in red river delta
publisher ĐHQGHN
publishDate 2017
url http://repository.vnu.edu.vn/handle/VNU_123/56573
_version_ 1680966099582058496

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