Improved crop specific projections from the integration of in situ and remote sensing data in an agrometeorological model

K.P. Hochheim1, T. Hirose1, J. Bennett1, P.R. Bullock2, R.L. Raddatz3, G. Fedosejevs4, P.M. Teillet4
1Noetix Research, Inc., Ottawa, ONT, Canada
2Department of Soil Science, University of Manitoba, Winnipeg, MAN, Canada
3Atmospheric & Hydrologic Sciences Division, Meteorological Service of Canada, Environment Canada, Winnipeg, MAN, Canada
4Canada Centre for Remote Sensing, Ottawa, ONT, Canada

Tóm tắt

Reports on research to adapt the 2/sup nd/ Generation Prairie Agrometeorological Model for wheat developed by Raddatz (1993) 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, 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, actual evapotranspiration or crop water-use, and top zone and root zone soil moisture for a test area in southern Manitoba for the year 2000 growing season.

Từ khóa

#Crops #Remote sensing #Meteorology #Atmospheric modeling #Soil moisture #Atmosphere #Skin #Temperature sensors #Geographic Information Systems #Testing

Tài liệu tham khảo

teillet, 2001, A Framework for In-Situ Sensor Measurement Assimilation in Remote Sensing, Proc 23rd Can Symp Remote Sensing, 111 10.4141/cjss96-036 10.1080/07055900.1993.9649478