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

Volume

4

fYear

1996

fDate

27-31 May 1996

Firstpage

2366

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IGARSS.1996.516988

Filename

516988