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Radar Vegetation Index for Estimating the Vegetation Water Content of Rice and Soybean
- Source :
- IEEE Geoscience and Remote Sensing Letters. 9:564-568
- Publication Year :
- 2012
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2012.
-
Abstract
- Vegetation water content (VWC) is an important biophysical parameter and has a significant role in the retrieval of soil moisture using microwave remote sensing. Here, the radar vegetation index (RVI) was evaluated for estimating VWC. Analysis utilized a data set obtained by a ground-based multifrequency polarimetric scatterometer system, with a single incidence angle of 40°, during an entire growth period of rice and soybean. Temporal variations of the backscattering coefficients for the L-, C-, and X-bands, RVI, VWC, leaf area index, and normalized difference vegetation index were analyzed. The L-band RVI was found to be correlated to the different vegetation indices. Prediction equations for the estimation of VWC from the RVI were developed. The results indicated that it was possible to estimate VWC with an accuracy of 0.21 kg·m-2 using L-band RVI observations. These results demonstrate that valuable new information can be extracted from current and future radar satellite systems on the vegetation condition of two globally important crop types. The results are directly applicable to systems such as the proposed NASA Soil Moisture Active Passive satellite.
- Subjects :
- Soil science
Enhanced vegetation index
Scatterometer
Geotechnical Engineering and Engineering Geology
Normalized Difference Vegetation Index
law.invention
law
medicine
Environmental science
Satellite
Electrical and Electronic Engineering
medicine.symptom
Leaf area index
Radar
Vegetation (pathology)
Water content
Remote sensing
Subjects
Details
- ISSN :
- 15580571 and 1545598X
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- IEEE Geoscience and Remote Sensing Letters
- Accession number :
- edsair.doi...........7ca4f00ccd2d7c4ad933c4cb3265cbad