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Rice Crop Monitoring in the Mekong Delta, Vietnam Using Multi-temporal Sentinel-1 Data with C-Band
Food security has become an important issue as the population has increased rapidly in recent years in Asia and Vietnam in particular. Especially, the impacts of climate change due to global warming and sea-level rise have affected the agricultural activities in the Vietnamese Mekong Delta, which is an almost rice-growing area. Therefore, building a system to monitor changes in rice planted area and rice crop is essential and urgent. Recently, launches of SAR sensors are not affected by atmospheric, sunlight conditions and can get signals through clouds and smoke even in rainy season, in day or night if comparing with optical data. SAR data can provide appropriate solutions to rice mapping and monitoring challenges in Vietnam, the country located tropical monsoon. In the paper, we detected rice planted area and rice crop in the Mekong Delta by using multi-temporal Sentinel-1 images with C-band. The study had collected field survey data at the same period’s time acquired of Satellite data. The results compared with the field survey data attained the overall accuracy of 92.6% and Kappa coefficient of 0.86. This study showed the potential use of multi-temporal Sentinel-1 data for rice crop mapping serving for agricultural management in the region scale.
Rice Crop Monitoring in the Mekong Delta, Vietnam Using Multi-temporal Sentinel-1 Data with C-Band
Food security has become an important issue as the population has increased rapidly in recent years in Asia and Vietnam in particular. Especially, the impacts of climate change due to global warming and sea-level rise have affected the agricultural activities in the Vietnamese Mekong Delta, which is an almost rice-growing area. Therefore, building a system to monitor changes in rice planted area and rice crop is essential and urgent. Recently, launches of SAR sensors are not affected by atmospheric, sunlight conditions and can get signals through clouds and smoke even in rainy season, in day or night if comparing with optical data. SAR data can provide appropriate solutions to rice mapping and monitoring challenges in Vietnam, the country located tropical monsoon. In the paper, we detected rice planted area and rice crop in the Mekong Delta by using multi-temporal Sentinel-1 images with C-band. The study had collected field survey data at the same period’s time acquired of Satellite data. The results compared with the field survey data attained the overall accuracy of 92.6% and Kappa coefficient of 0.86. This study showed the potential use of multi-temporal Sentinel-1 data for rice crop mapping serving for agricultural management in the region scale.
Rice Crop Monitoring in the Mekong Delta, Vietnam Using Multi-temporal Sentinel-1 Data with C-Band
Lecture Notes in Civil Engineering
Reddy, J. N. (editor) / Wang, Chien Ming (editor) / Luong, Van Hai (editor) / Le, Anh Tuan (editor) / Phung, Hoang Phi (author) / Nguyen, Lam Dao (author)
2020-07-28
8 pages
Article/Chapter (Book)
Electronic Resource
English
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