Crop acreage subpixel estimation from NOAA-AVHRR data: a test study in the Pampa region, Argentina

Herve Kerdiles; Martin O. Grondona

doi:10.1117/12.200777

31 January 1995 Crop acreage subpixel estimation from NOAA-AVHRR data: a test study in the Pampa region, Argentina

Herve Kerdiles, Martin O. Grondona

Proceedings Volume 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources; (1995) https://doi.org/10.1117/12.200777
Event: Satellite Remote Sensing, 1994, Rome, Italy

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.

Citation Download Citation

Herve Kerdiles and Martin O. Grondona "Crop acreage subpixel estimation from NOAA-AVHRR data: a test study in the Pampa region, Argentina", Proc. SPIE 2314, Multispectral and Microwave Sensing of Forestry, Hydrology, and Natural Resources, (31 January 1995); https://doi.org/10.1117/12.200777

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