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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]

Variability of fire-induced changes in MODIS surface reflectance by land-cover type in Borneo / Jukka Miettinen in International Journal of Remote Sensing IJRS, vol 28 n° 21-22 (November 2007)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 28 n° 21-22 (November 2007) . - pp 4967 - 4984 Titre : Variability of fire-induced changes in MODIS surface reflectance by land-cover type in Borneo Type de document : Article/Communication Auteurs : Jukka Miettinen, Auteur Année de publication : 2007 Article en page(s) : pp 4967 - 4984 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse discriminante [Termes IGN] Bornéo, île de [Termes IGN] couvert végétal [Termes IGN] image Aqua-MODIS [Termes IGN] image Terra-MODIS [Termes IGN] incendie de forêt [Termes IGN] occupation du sol [Termes IGN] réflectance de surface [Termes IGN] réflectance spectrale [Termes IGN] variabilité Résumé : (Auteur) This study investigates fire-induced spectral changes detected by the Moderate Resolution Imaging Spectroradiometer (MODIS) in different land-cover types in Borneo. Linear discriminant analysis is used to determine the most powerful band combinations among the MODIS reflective bands for discrimination between burnt and unburnt areas in each land-cover type. The results show that the nature of fire-induced changes is dependent on pre-fire vegetation characteristics in this region. Bands 1 (0.64 um), 2 (0.86 um), and 7 (2.14 um) are found to be the most sensitive bands in land-cover types dominated by green vegetation, and consequently indices or combinations of indices using these three bands are potentially effective for burnt-area detection in the majority of areas. In land-cover types dominated by dry vegetation and soil, MODIS band 5 (1.24 um) alone showed the greatest statistical separability and could not be significantly improved by any multiband index. Copyright Taylor & Francis Numéro de notice : A2007-492 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701268962 En ligne : https://doi.org/10.1080/01431160701268962 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28855 [article]

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