Centre de documentation
scientifique

Land-cover classification in the Brazilian Amazon with the integration of Landsat ETM+ and Radarsat data / Dong Lu in International Journal of Remote Sensing IJRS, vol 28 n°23-24 (December 2007)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 28 n°23-24 (December 2007) . - pp 5447 - 5459 Titre : Land-cover classification in the Brazilian Amazon with the integration of Landsat ETM+ and Radarsat data Type de document : Article/Communication Auteurs : Dong Lu, Auteur ; M. Batistella, Auteur ; E. Moran, Auteur Année de publication : 2007 Article en page(s) : pp 5447 - 5459 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte [Termes IGN] Amazonie [Termes IGN] analyse texturale [Termes IGN] Brésil [Termes IGN] classification par maximum de vraisemblance [Termes IGN] fusion d'images [Termes IGN] image Landsat-ETM+ [Termes IGN] image multibande [Termes IGN] image optique [Termes IGN] image panchromatique [Termes IGN] image radar [Termes IGN] image Radarsat [Termes IGN] niveau de gris (image) [Termes IGN] occupation du sol [Termes IGN] transformation en ondelettes [Termes IGN] zone tropicale humide Résumé : (Auteur) Land-cover classification with remotely sensed data in moist tropical regions is a challenge due to the complex biophysical conditions. This paper explores techniques to improve land-cover classification accuracy through a comparative analysis of different combinations of spectral signatures and textures from Landsat Enhanced Thematic Mapper Plus (ETM+) and Radarsat data. A wavelet-merging technique was used to integrate Landsat ETM+ multispectral and panchromatic data or Radarsat data. Grey-level co-occurrence matrix (GLCM) textures based on Landsat ETM+ panchromatic or Radarsat data and different sizes of moving windows were examined. A maximum-likelihood classifier was used to implement image classification for different combinations. This research indicates the important role of textures in improving land-cover classification accuracies in Amazonian environments. The incorporation of data fusion and textures increases classification accuracy by approximately 5.8-6.9% compared to Landsat ETM+ data, but data fusion of Landsat ETM+ multispectral and panchromatic data or Radarsat data cannot effectively improve land-cover classification accuracies. Copyright Taylor & Francis Numéro de notice : A2007-538 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701227596 En ligne : https://doi.org/10.1080/01431160701227596 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28901 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-07131	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Settlement design, forest fragmentation, and landscape change in Rondônia, Amazonia / M. Batistella in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 7 (July 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 7 (July 2003) . - pp 805 - 812 Titre : Settlement design, forest fragmentation, and landscape change in Rondônia, Amazonia Type de document : Article/Communication Auteurs : M. Batistella, Auteur ; S. Robeson, Auteur ; E.F. Moran, Auteur Année de publication : 2003 Article en page(s) : pp 805 - 812 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Amazonie [Termes IGN] analyse diachronique [Termes IGN] Brésil [Termes IGN] déboisement [Termes IGN] détection de changement [Termes IGN] écologie [Termes IGN] écosystème [Termes IGN] image Landsat-TM Résumé : (Auteur) Deforestation and colonization in Amazonia have attracted substantial attention. This article focuses on an area of 3,000 km within the Brazilian State of Rondonia. Two adjacent settlements were compared to assess the role of their different designs in landscape change. Anari was planned following an orthogonal road network. Machadinho was designed with attention to topography in laying out roads and farm properties, while including communal reserves. Field research was undertaken in conjunction with multi-temporal classifications of remotely sensed data (1988, 1994, and 1998) and landscape ecology methods. The results indicate that large patches of communal reserves play an important role in maintaining lower levels of fragmentation. Analyses of landscape structure confirmed that forest patches in Machadinho are less fragmented, more complex, and preserve more interior habitat. By comparing the effects of different settlement designs on landscape change and forest fragmentation, this article contributes to the debate about colonization strategies in Amazonia. Numéro de notice : A2003-156 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.69.7.805 En ligne : https://doi.org/10.14358/PERS.69.7.805 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22452 [article]