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United States Department of Agriculture

Agricultural Research Service

Research Project: MONITORING ARID LAND COVER CHANGE WITH SIMULATED HYSPIRI DATA

Location: Water Management and Conservation Research

Project Number: 5347-13660-007-01
Project Type: Reimbursable

Start Date: Oct 01, 2010
End Date: Dec 31, 2012

Objective:
This project evaluates the potential value of the proposed hyperspectral/multispectral remote sensing platform known as HyspIRI for assessment of vegetation cover in arid lands; cover assessment is critical for understanding the surface water budget. Existing airborne remote sensing data will be used to simulate HypsIRI data and to assess how much better land cover monitoring could be with the newer remote sensing technology.

Approach:
Methods will use existing MASTER and AVIRIS data collected over New Mexico and Oklahoma. Land surface temperatures, emissivities, and reflectances will be estimated. Cover change analysis using emissivity and narrowband visible-near infrared data will be performed using airborne and ancillary ASTER/MODIS data in conjunction with classification techniques. Spatial statistics will help assess resolution and scale effects. MASTER and ancillary data will be used for time scale analyses. Regression analyses will evaluate the significance of different thermal infrared bands.

Last Modified: 10/1/2014
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