Title :
Assimilation of shortwave remote sensing observations within an agrometeorological model-Crop production estimation
Author :
Moulin, S. ; Fischer, A. ; Dedieu, G.
Author_Institution :
CNRS, Toulouse, France
Abstract :
The time profile of high spatial resolution satellite signal (SPOT HRV, 20×20 m2) was predicted at field scale through the link between a crop model (AFRCWHEAT2, Porter, 1993) and a reflectance model (SAIL, Verhoef, 1984). Both net primary productivity (NPP) and yield were predicted by the crop model. Then satellite observations were used to constrain the crop model, using the `assimilation´ technique. The assimilation of synthetic observations showed that the most pertinent acquisition dates are the ones which occur during the growth period
Keywords :
agriculture; geophysical techniques; remote sensing; 200 to 5000 nm; Crop production estimation; agriculture; agrometeorological model; crop model; crops; data assimilation; geophysical measurement technique; high spatial resolution; net primary productivity; optical imaging; reflectance model; remote sensing; shortwave remote sensing observations; vegetation mapping; yield; Atmospheric modeling; Crops; Heart rate variability; Predictive models; Production; Reflectivity; Remote sensing; Satellite broadcasting; Spatial resolution; Vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516988
