Use of satellite-derived data to improve biophysical model output: An example from Southern Kenya

Details

Author(s):
J.J. Angerer; J. Stuth; F. Wandera; R. Kaitho

Type of Document:
Conference Proceeding or Document

 

Publisher/Journal:
SANREM CRSP, University of Georgia

Date of Publication:
2001

Place of Publication:
Watkinsville, GA

Links
Description

Abstract: The use of satellite data products produced by the National Oceanic and Atmospheric Administration (NOAA) and the National Aeronautics and Space Administration (NASA) was explored to determine if these products could be used to provide plant growth model output for large landscapes. The use of satellite-derived data is Generally advantageous because it is spatially dense (i.e., many measurements for a large landscape). Gridded daily temperature (0.1 x 0.1 degree) and rainfall (8×8 km), derived from the METEOSAT satellite, were used as inputs into the PHYGROW plant growth model for 30 pastoral households in southern Kenya. After model runs were completed, cokriging was used to determine if model output, coupled with NASAi

Additional Bibliographic Information

Angerer, J., J. Stuth, F. Wandera, and R. Kaitho. 2001. Use of Satellite-Derived Data to Improve Biophysical Model Output: An Example from Southern Kenya. SANREM CRSP Research Synthesis Conference, Athens, GA. November 28-30.

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