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Proceedings Paper

Crop acreage subpixel estimation from NOAA-AVHRR data: a test study in the Pampa region, Argentina
Author(s): Herve Kerdiles; Martin O. Grondona
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Paper Abstract

Linear mixture modeling was applied to NOAA-AVHRR data (bands 1, 2, and 4 X two dates) over the Pampa region, Argentina, to derive fraction images of winter crops, summer crops and pastures. First, the signatures of the three classes were extracted on sets of 3 km wide calibration windows by regressing the mixed NOAA response on the class proportions, estimated from classified Landsat TM data. The class signatures were found consistent with the cover types, but a variability depending on the set of windows was noted. Subpixel classifications of the NOAA data were then performed using the different sets of class signatures. Although some discrepancies between NOAA and Landsat estimates were observed at the window level, the classification results for winter crops, summer crops and pastures compared well at regional scale with Landsat estimates, hence confirming the potential of linear mixture modeling applied to coarse resolution data. However, the extension of the classification beyond the calibration zone was hampered in our case by the poor preprocessings of the NOAA data.

Paper Details

Date Published: 31 January 1995
PDF: 12 pages
Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); doi: 10.1117/12.200777
Show Author Affiliations
Herve Kerdiles, LCT CEMAGREF-ENGREF (France)
Martin O. Grondona, CIRN INTA Instituto de Clima y Agua (Argentina)


Published in SPIE Proceedings Vol. 2314:
Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources
Eric Mougin; K. Jon Ranson; James Alan Smith, Editor(s)

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