Centre de documentation
scientifique

Remote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data / Jukka Miettinen in Global ecology and conservation, vol 2 (December 2014)  

Public [article]  inGlobal ecology and conservation > vol 2 (December 2014) . - pp 24 - 36 Titre : Remote sensing of forest degradation in Southeast Asia—Aiming for a regional view through 5–30 m satellite data Type de document : Article/Communication Auteurs : Jukka Miettinen, Auteur ; Hans-Jürgen Stibig, Auteur ; Frédéric Achard, Auteur Année de publication : 2014 Article en page(s) : pp 24 - 36 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] Asie du sud-est [Termes IGN] forêt tropicale [Termes IGN] image à haute résolution [Termes IGN] image Landsat-ETM+ [Termes IGN] image Sentinel-MSI [Termes IGN] surveillance forestière Résumé : (auteur) In this review paper, we present geographical, ecological and historical aspects of Southeast Asia from the perspective of forest degradation monitoring and critically discuss available approaches for large area forest degradation monitoring with satellite remote sensing data at high to medium spatial resolution (5–30 m). Several authors have achieved promising results in geographically limited areas within Southeast Asia using automated detection algorithms. However, the application of automated methods to large area assessments remains a major challenge. To-date, nearly all large area assessments of forest degradation in the region have included a strong visual interpretation component. We conclude that due to the variety of forest types and forest disturbance levels, as well as the variable image acquisition conditions in Southeast Asia, it is unlikely that forest degradation monitoring can be conducted throughout the region using a single automated approach with currently available remote sensing data. The provision of regionally consistent information on forest degradation from satellite remote sensing data remains therefore challenging. However, the expected increase in observation frequency in the near future (due to Landsat 8 and Sentinel-2 satellites) may lead to the desired improvement in data availability and enable consistent and robust regional forest degradation monitoring in Southeast Asia. Numéro de notice : A2014-762 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1016/j.gecco.2014.07.007 En ligne : http://www.sciencedirect.com/science/article/pii/S2351989414000134 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=76413 [article]

Mapping of the tropical forest cover of insular Southeast Asia from SPOT-4 Vegetation images / Hans-Jürgen Stibig in International Journal of Remote Sensing IJRS, vol 24 n° 18 (September 2003)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 24 n° 18 (September 2003) . - pp 3651 - 3662 Titre : Mapping of the tropical forest cover of insular Southeast Asia from SPOT-4 Vegetation images Type de document : Article/Communication Auteurs : Hans-Jürgen Stibig, Auteur ; R. Beuchle, Auteur ; Frédéric Achard, Auteur Année de publication : 2003 Article en page(s) : pp 3651 - 3662 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] Asie du sud-est [Termes IGN] carte de la végétation [Termes IGN] classification automatique [Termes IGN] forêt tropicale [Termes IGN] image Landsat-TM [Termes IGN] image SPOT-Végétation [Termes IGN] occupation du sol [Termes IGN] onde électromagnétique [Termes IGN] rayonnement proche infrarouge Résumé : (Auteur) The objective of this study was to refine the methodology for a regional assessment of tropical forest cover in insular Southeast Asia from coarse resolution satellite images. SPOT4-Vegetafion 10-day composites from 1998 to 2000 were used for the generation of a cloud free sub-regional mosaic image. Pixel selection was based on minimum values in the short-wave (monthly composites) and near-infrared spectral bands (annual composites), providing a maximum discrimination between forest and non-forest. A forest cover map was derived from digital classification of the dataset. The classification result was validated by comparison with the interpretation of 19 Landsat Thematic Mapper (TM) reference sites distributed over the sub-region. Forest area estimates were derived from the map and compared to Forest Resources Assessment 2000 data compiled by the Food and Agricultural Organization (FAO) of the United Nations. Results show that the new coarse resolution satellite sensor can provide sufficient information for mapping of tropical forest cover at the regional and sub-regional level. Numéro de notice : A2003-263 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/0143116021000024113 En ligne : https://doi.org/10.1080/0143116021000024113 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22558 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-03181	RAB	Revue	Centre de documentation	En réserve L003	Disponible