Estimation of crop yield at the regional scale from MODIS observations

Author

Liang, Shunlin ; Fang, Hongliang ; Hoogenboom, Gerrit ; Teasdale, John ; Cavigelli, Michel

Author_Institution

Dept. of Geogr., Maryland Univ., College Park, MD

Volume

3

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

1625

Abstract

This study presents some preliminary results on estimating crop yield at the regional scale from MODIS (Medium resolution imaging spectroradiometer) data using the data assimilation method. MODIS data products include leaf area index (LAI) and enhanced vegetation index (EVI). The crop growth models of DSSAT were used in this study, which are driven by weather, soil and crop management data. Some of the variables of the models were adjusted through data assimilation algorithms for accurate prediction of crop yields

Keywords

crops; data assimilation; decision support systems; geophysics computing; meteorology; radiometry; remote sensing; soil; vegetation mapping; DSSAT crop growth models; Decision Support System for Agrotechnology Transfer; EVI; LAI; MODIS data products; MODIS observations; Medium resolution imaging spectroradiometer; crop management data; crop yield estimation; data assimilation algorithms; enhanced vegetation index; leaf area index; soil management data; weather management data; Crops; Data assimilation; Decision support systems; Image resolution; MODIS; Soil; Spectroradiometers; Vegetation mapping; Weather forecasting; Yield estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370640

Filename

1370640