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United States Department of Agriculture

Agricultural Research Service

Research Project: Leveraging Remote Sensing, Land Surface Modeling and Ground-based Observations ... Variables within Heterogeneous Agricultural Landscapes

Location: Hydrology and Remote Sensing Laboratory

Title: Estimating wheat growth with radar vegetation indices)

item Kim, Yihyun
item Hong, Sukyoung
item Lee, Hoonyol
item Jackson, Thomas
item Bindlish, R

Submitted to: International Geoscience and Remote Sensing Symposium Proceedings
Publication Type: Abstract only
Publication Acceptance Date: 3/14/2013
Publication Date: 7/21/2013
Citation: Kim, Y., Hong, S., Lee, H., Jackson, T.J., Bindlish, R. 2013. Estimating wheat growth with radar vegetation indices [abstract]. International Geoscience and Remote Sensing Symposium (IGARSS). 2013 CDROM.

Interpretive Summary:

Technical Abstract: In this study, we computed the Radar Vegetation Index (RVI) using observations made with a ground based multi-frequency polarimetric scatterometer system over an entire wheat growth period. The temporal variations of the backscattering coefficients for L-, C-, and X-band, RVI, vegetation water content (VWC), and fresh weight were analyzed. We found that the L-band RVI was very sensitive to VWC and fresh weight. Based on the correlation analysis between RVI and these growth parameters, we developed equations for the estimation of VWC and fresh weight.

Last Modified: 8/24/2016
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