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TitleImproved Crop Specific Projections from the Integration of In Situ and Remote Sensing Data in an Agrometeorological Model
AuthorHochheim, K; Hirose, T; Bennet, J; Bullock, P R; Raddatz, R L; Fedosejevs, G; Teillet, P M
SourceIGARSS 2002, IEEE International Geoscience and Remote Sensing Symposium and the 24th Canadian Symposium on Remote Sensing, Toronto, Canada, June 24-28; 2002.
Alt SeriesEarth Sciences Sector, Contribution Series 20043129
Mediapaper; CD-ROM
AbstractThis paper reports on research to adapt the 2nd Generation Prairie Agrometeorological Model for wheat developed by Raddatz [1] at Environment Canada to use both in situ data from a distributed network of meteorological stations (original mode) and NOAA AVHRR information output from the GeoComp-N processor at the Manitoba Remote Sensing Centre. Two parameters previously approximated by the model have been substituted with AVHRR derived information: fractional leaf area (f LA), and skin temperature. These parameters are critical for obtaining accurate outputs.

Model outputs were ingested into a GIS to generate maps of crop growth stage expressed as biometeorological time (BMT), actual evapotranspiration or crop water-use (ET), and top zone (TpZ) and root zone (RtZ) soil moisture for a test area in southern Manitoba for the year 2000 growing season.


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