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Senescent vegetation and crop residue mapping in agricultural lands using artificial neutral networks and hyperspectral remote sensing

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4 Author(s)
Bannari, A. ; Dept. of Geogr., Ottawa Univ., Ont., Canada ; Chevrier, M. ; Staenz, K. ; McNairn, H.

This paper focuses on a comparative study between a semi empirical model, the Modified Soil Adjusted Crop Residue Index (MSACRI), and artificial neutral networks (ANN) for estimating crop residue cover on agricultural fields using hyperspectral imagery. The results indicate the ANN method is more accurate and more representative of the ground reference information than the MSACRI.

Published in:

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International  (Volume:7 )

Date of Conference:

21-25 July 2003