Use of multisensor, multiscale, and temporal data for segmenting vegetation

Jean-Paul Berroir; Sonia Bouzidi; Isabelle L. Herlin

doi:10.1117/12.262878

17 December 1996 Use of multisensor, multiscale, and temporal data for segmenting vegetation

Jean-Paul Berroir, Sonia Bouzidi, Isabelle L. Herlin

Proceedings Volume 2955, Image and Signal Processing for Remote Sensing III; (1996) https://doi.org/10.1117/12.262878
Event: Satellite Remote Sensing III, 1996, Taormina, Italy

Abstract

The study of vegetation repartition and evolution is a wide research field and application task for environmental modeling. The objective of our study is to discriminate different vegetation types by their temporal evolution. For that purpose, we use two different sensors: the SPOT sensor provides monthly data with a sufficient spatial resolution, while the NOAA sensor provides daily data, but with a poor spatial resolution. Combining these two complementary sensors seems to be a promising way to lead the study. We propose here a three-step experiment showing that the simultaneous use of these two sensors allows us to obtain a fine segmentation of land cover.

Citation Download Citation

Jean-Paul Berroir, Sonia Bouzidi, and Isabelle L. Herlin "Use of multisensor, multiscale, and temporal data for segmenting vegetation", Proc. SPIE 2955, Image and Signal Processing for Remote Sensing III, (17 December 1996); https://doi.org/10.1117/12.262878

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