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Auteur G. Singh |
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Characterization of forests and deforestation in Cambodia using ALOS/PALSAR observation / R. Avtar in Geocarto international, vol 27 n° 2 (March 2012)
[article]
Titre : Characterization of forests and deforestation in Cambodia using ALOS/PALSAR observation Type de document : Article/Communication Auteurs : R. Avtar, Auteur ; H. Sawada, Auteur ; Wataru Takeuchi, Auteur ; G. Singh, Auteur Année de publication : 2012 Article en page(s) : pp 119 - 137 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Cambodge
[Termes IGN] caractérisation
[Termes IGN] déboisement
[Termes IGN] décomposition d'image
[Termes IGN] forêt tropicale
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar moirée
[Termes IGN] indice de végétation
[Termes IGN] sylvicultureRésumé : (Auteur) In this study, we have demonstrated the capability of full polarimetric ALOS/Phased Array L-band Synthetic Aperture Radar data for the characterization of the forests and deforestation in Cambodia, to support climate change mitigation policies of Reducing Emission from Deforestation and Forest Degradation (REDD). We have observed mean backscattering coefficient (ó°), entropy (H), alpha angle (á), anisotropy (A), pedestal height (PH), Radar Vegetation Index (RVI) and Freeman–Durden three-component decomposition parameters. The observations show that the forest types and deforested areas are showing variable polarimetric and backscattering properties because of the structural difference. Evergreen forest is characterized by a high value of ó° HV (-12.96 dB) as compared with the deforested area (ó° HV=-22.2 dB). The value of polarimetric parameters such as entropy (0.93), RVI (0.91), PH (0.41) and Freeman–Durden volume scattering (0.43) is high for evergreen forest, whereas deforested area is characterized by the low values of entropy (0.36) and RVI (0.17). Based on these parameters, it is found that ó° HV, entropy, RVI and PH provide best results among other parameters. Numéro de notice : A2012-126 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.626081 Date de publication en ligne : 20/10/2011 En ligne : https://doi.org/10.1080/10106049.2011.626081 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31574
in Geocarto international > vol 27 n° 2 (March 2012) . - pp 119 - 137[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Evaluation of modified four-component scattering power decomposition method over highly rugged glaciated terrain / G. Singh in Geocarto international, vol 27 n° 2 (March 2012)
[article]
Titre : Evaluation of modified four-component scattering power decomposition method over highly rugged glaciated terrain Type de document : Article/Communication Auteurs : G. Singh, Auteur ; Yasushi Yamaguchi, Auteur ; S. Park, Auteur ; R. Avtar, Auteur Année de publication : 2012 Article en page(s) : pp 139 - 151 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] décomposition d'image
[Termes IGN] décomposition spectrale
[Termes IGN] glace
[Termes IGN] Himalaya
[Termes IGN] image radar moirée
[Termes IGN] polarimétrie radarRésumé : (Auteur) In recent years, there has been increased utilization of fully polarimetric synthetic aperture radar (POLSAR) data to study glaciated terrain features for glaciological and climate change modelling. This article is concerned with more accurate results and appropriate analysis of POLSAR data over a highly rugged glaciated area in Himalayan region. For this purpose, the modified Yamaguchi four-component scattering power decomposition (4-CSPD) method with a rotation concept of 3 x 3 coherency matrix [T] about line of sight is evaluated. It has been found that the modified Yamaguchi 4-CSPD method significantly improved the decomposition results as compared with the original 4-CSPD by minimizing the cross-polarized Horizontal-Vertical (HV) components. This modified 4-CSPD leads to enhancement in the double bounce scattering and surface scattering components and also avoids the overestimation problem in the volume scattering component as compared with the original 4-CSPD from the sloped terrain. The significant reductions of the negative power occurrence in the surface scattering (3.9%) and the double bounce scattering (19.7%) components have also been noticed as compared with the original 4-CSPD method over the glaciated area in this part of the Indian Himalaya. Numéro de notice : A2012-127 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.626082 Date de publication en ligne : 20/10/2011 En ligne : https://doi.org/10.1080/10106049.2011.626082 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31575
in Geocarto international > vol 27 n° 2 (March 2012) . - pp 139 - 151[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2012021 RAB Revue Centre de documentation En réserve L003 Disponible Snow permitivity retrieval inversion algorithm for estimating snow wetness / G. Singh in Geocarto international, vol 25 n° 3 (June 2010)
[article]
Titre : Snow permitivity retrieval inversion algorithm for estimating snow wetness Type de document : Article/Communication Auteurs : G. Singh, Auteur ; G. Venkataraman, Auteur Année de publication : 2010 Article en page(s) : pp 187 - 212 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] constante diélectrique
[Termes IGN] image Envisat-ASAR
[Termes IGN] modèle d'inversion
[Termes IGN] neige
[Termes IGN] prévention des risques
[Termes IGN] rétrodiffusion
[Termes IGN] surveillance hydrologique
[Termes IGN] traitement d'imageRésumé : (Auteur) The environmental satellite (ENVISAT) advanced synthetic aperture radar (ASAR) offers the opportunity for monitoring snow parameters with dual polarization and multi-incidence angle. Snow wetness is an important index for indicating snow avalanche, snowmelt runoff modelling, water supply for irrigation and hydropower stations, weather forecasts and understanding climate change. We used a first-order scattering model that includes both volume and air/snow surface scattering based on a developed inversion model to estimate snow dielectric constant, which can be further related for estimating snow wetness. Comparison with field measurement showed that the correlation coefficient for snow permittivity estimated from ASAR data was observed to be 0.8 at 95% confidence interval and model bias was observed as 2.42% by volume at 95% confidence interval. The comparison of ASAR-derived snow permittivity with ground measurements shows the average absolute error 2.5%. The snow wetness range varies from 0 to 15% by volume. Numéro de notice : A2010-266 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040903486130 Date de publication en ligne : 18/02/2010 En ligne : https://doi.org/10.1080/10106040903486130 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30460
in Geocarto international > vol 25 n° 3 (June 2010) . - pp 187 - 212[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2010031 RAB Revue Centre de documentation En réserve L003 Disponible