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ERS and Radarsat images for land use classification at a regional scale: some possibilities for future A-SAR configuration

Desprats Jean-François, Borne Frédéric, King C., Bégué Agnès, Prévot L., Baghdadi Nicolas, Bourguignon A.. 2000. ERS and Radarsat images for land use classification at a regional scale: some possibilities for future A-SAR configuration. In : XXV General assembly. Millenium conference on earth planetary and solar systems sciences, Nice, France, 25-29 April 2000. EGS (Euopean Geophysical Society). Katlenburg-Lindau : EGS, 8 p. Millenium Conference on earth planetary and solar systems sciences. 25, Nice, France, 25 Avril 2000/29 Avril 2000.

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Autre titre : Des images ERS et Radarsat pour la classification de l'utilisation des terres à l'échelle régionale : possibilités pour une configuration future de A-SAR

Résumé : A possible output of the European project ReSeDA is to use the very complete available data base covering one year of the growing season for assessing the interest of multi-angular time series of radar images (Baret & al, 1999). The aim is to prepare an optimal use of A-SAR data for the purpose of regional agricultural statistics on a site representative of semi-irrigated areas. Four sets of time series of SAR data have been compared in the perspective of operational assessment: 3 dates of ERS2, 3 dates of Radarsat, 6 dates of bi-angular ERS and Radarsat, and 9 dates of ERS. Two filters and a software of segmentation of images (PAPRI from CIRAD) have been successively applied over the 4 sets. The results of classification are compared with the reference plots of the test site Alpilles for 3 major annual crops (wheat, maize and sunflower). Then the robustness of the best discrimination is tested at a regional scale through 12 external segments of 700x700 m, according to the well known sampling system of the european MARS project. The pre-segmentation of radar images and the bi-angular series of SAR improve the discrimination annual crops for assessing their areas at a regional scale. It gives robust guidelines about the interest of SAR data for the regional crop distribution in case of cloudy conditions.

Mots-clés Agrovoc : télédétection, satellite, utilisation des terres, planification régionale, radar, plante annuelle

Mots-clés géographiques Agrovoc : France

Classification Agris : U30 - Méthodes de recherche
E11 - Économie et politique foncières

Auteurs et affiliations

  • Desprats Jean-François, BRGM (FRA)
  • Borne Frédéric, CIRAD-AMIS-AMAP (FRA) ORCID: 0000-0003-3251-8253
  • King C., BRGM (FRA)
  • Bégué Agnès, CIRAD-AMIS-AGRONOMIE (FRA)
  • Prévot L., INRA (FRA)
  • Baghdadi Nicolas, BRGM (FRA)
  • Bourguignon A., BRGM (FRA)

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/477753/)

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