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...
Saved in:
| 主要作者: | |
|---|---|
| 格式: | Article |
| 語言: | English |
| 出版: |
ĐHQGHN
2017
|
| 主題: | |
| 在線閱讀: | http://repository.vnu.edu.vn/handle/VNU_123/56573 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Vietnam National University, Hanoi |
| 語言: | English |
| 總結: | 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. |
|---|