ESTIMATING PERCENT COVER WITH HIGH RESOLUTION IMAGERY IN THE TEXAS HIGH PLAINS
Soil and Water Management Research
2012 Annual Report
1a.Objectives (from AD-416):
Develop a set of reflectance-based models for estimating percent cover using high resolution satellite data in the Texas High Plains.
1b.Approach (from AD-416):
Ground truth data on percent cover will be collected from 30-40 fields in the USDA-ARS Conservation and Production Research Laboratory, Bushland, Texas, during the 2010 summer cropping season. A GPS will be used to identify the geographic location of the ground truth location. Data collection will be coincided with RapidEye satellite overpasses. A digital camera will be used to acquire photographs of the crops at nadir position. Digital photos will be classified into two categories to calculate percent cover using Multispec image processing system. Finally, spectral reflectance values for the ground truthing location will be extracted from the RapidEye images with a pixel size of 7.5 x 7.5 m to develop and evaluate a set of statistical models for estimating percent cover.
The main objective of this research was to develop a set of reflectance-based models for estimating percent cover using high resolution RapidEye satellite data in the Texas High Plains. During 2011-12 period, we have completed data analysis and developed numerous spectral-based regression models for estimating chlorophyll and percent cover in the Texas High Plains. Currently, we are developing a manuscript for publication in a peer-reviewed journal.