Spectral indices as bio-indicators of sugar cane crop condition from hyperspectral casi data: In : IGARSS 2003: Learning from earth's shapes and colors

Marc Despinoy; Eric Bappel; Agnès Bégué; Yann Buchon; B. Siegmund

doi:10.1109/IGARSS.2003.1293842

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Spectral indices as bio-indicators of sugar cane crop condition from hyperspectral casi data: In : IGARSS 2003: Learning from earth's shapes and colors

Marc Despinoy, Eric Bappel, Agnès Bégué, Yann Buchon and B. Siegmund

IGARSS 2003: Learning from earth's shapes and colors, Vol.1, pp.561-563

IGARSS 2003: Learning from earth's shapes and colors

2004

DOI: https://doi.org/10.1109/IGARSS.2003.1293842

Abstract

Sugar industry

Crops

Hyperspectral imaging

Reflectivity

Hyperspectral sensors

Pigmentation

Biomass

Nitrogen

Remote monitoring

Biomedical optical imaging

This paper illustrates the advantages of the hyperspectral data for sugar cane crop management. In 2002, a CASI airborne campaign and a ground measurement experiment were set up over sugar cane sites in Reunion Island. Early results indicate that LAI and biomass are significantly correlated with some narrow spectral bands in the NIR and that chemical leaf contents are well correlated with the PRI index. A multi-regression procedure was used to calculate transfer functions in order to produces thematic maps of LAI, biomass and nitrogen.

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Title: Spectral indices as bio-indicators of sugar cane crop condition from hyperspectral casi data
Creators - without role: Marc Despinoy - Université de Montpellier, Observation Spatiale, Modèles et Science Impliquée - ESPACE DEV
Eric Bappel - Territoires
Agnès Bégué - Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Yann Buchon - Territoires
B. Siegmund - Centre de Coopération Internationale en Recherche Agronomique pour le Développement
Publication Details: IGARSS 2003: Learning from earth's shapes and colors, Vol.1, pp.561-563
Conference: IGARSS 2003: Learning from earth's shapes and colors
Identifiers: 0-7803-7929-2; 9939900309311
Academic Unit: Observation Spatiale, Modèles et Science Impliquée - ESPACE DEV
Language: English
Resource Type: Conference proceeding
Local Fields: ird-04768480