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Monitoring tropical deforestation processing high frequency and high resolution satellite data

Bégué Agnès, Zanardo C., Imbernon Jacques, Deshayes Michel. 1997. Monitoring tropical deforestation processing high frequency and high resolution satellite data. In : Earth surface remote sensing. Cecchi G., Engman E.T., Zilioli E. Bellingham : SPIE, pp. 261-272. (SPIE Proceedings, 3222) Earth Surface Remote Sensing, Londres, Royaume-Uni, 21 September 1997/25 September 1997.

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Autre titre : Estimation de la déforestation en région tropicale par le traitement des données satellites à haute fréquence et à haute résolution

Abstract : Approximately two-thirds of the tropical forest destroyed each year are caused by small-scale farmers that slash and burn the forest vegetation to plant crops and pastures. Characterisation and diagnosis of these land-use systems are the main theme of this 'Vegetation Preparatory Program' project based on three regions of the equatorial areas: Brazil, Peroo and Cameroon. To fulfil the requirements of the project, forest cover proportion was assessed from high (SPOT, landsat) and low (NOAA-AVHRR) resolution images. Classification of high resolution images in forest/crop land classes gave good results, but with some confusions between classes (open forest/dense forest for example). These confusions were reduced when the short wavelength infrared was included in the classification process. In comparison, classification of the low resolution images gave a poor estimation of the forest cover which is all the more over-estimated that the forest is fragmented. Forest cover proportion was then estimated from low resolution images, using spatial modelling and spectral mixture modelling, namely the TREES and COCKTAIL methods respectively. These two methods gave very close global values of deforestation at a regional scale, but the COCKTAIL method had the advantage to provide maps of forest cover, while TREES provided only a regional value. (Résumé d'auteur)

Mots-clés Agrovoc : forêt tropicale, Couverture végétale, Utilisation des terres, Déboisement, Télédétection, Imagerie, Satellite, Cartographie, Modèle de simulation

Mots-clés géographiques Agrovoc : Cameroun, Brésil, Pérou

Classification Agris : K10 - Forestry production
U30 - Research methods

Auteurs et affiliations

  • Bégué Agnès, CIRAD-CA-FCM (FRA)
  • Zanardo C.
  • Imbernon Jacques, CIRAD-CA-VRM (KEN)
  • Deshayes Michel

Autres liens de la publication

Source : Cirad - Agritrop (https://agritrop.cirad.fr/389626/)

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