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Built-up and vegetation extraction and density mapping using WorldView-II / A. Kumar in Geocarto international, vol 27 n° 7 (November 2012)
[article]
Titre : Built-up and vegetation extraction and density mapping using WorldView-II Type de document : Article/Communication Auteurs : A. Kumar, Auteur ; A. Chandra Pandrey, Auteur ; A. Jeyaseelan, Auteur Année de publication : 2012 Article en page(s) : pp 557 - 568 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse en composantes principales
[Termes IGN] bande infrarouge
[Termes IGN] bande rouge
[Termes IGN] carte d'occupation du sol
[Termes IGN] densité de population
[Termes IGN] détection du bâti
[Termes IGN] extraction de la végétation
[Termes IGN] image Worldview
[Termes IGN] Normalized Difference Vegetation IndexRésumé : (Auteur) This study demonstrates the use of high resolution WorldView-II satellite data in extraction of built-up land and vegetation using normalized index techniques. The PCA 1 and NIR 2 bands-based built-up index was proposed for extracting built-up land, which exhibit high accuracy. The normalized difference vegetation index based on Red Edge and NIR 2 bands of WorldView-II produced high accuracy in the estimation of vegetation compared to the use of Red and NIR bands. The grid technique used in estimating built-up and vegetation density from precisely classified images provided better and accurate assessment of built-up and vegetation density in heterogeneous landscape of urban areas. This shows areas of very high to high built-up density are located in the central, western and southern parts, which are primarily devoid of vegetation. This study indicates possibilities of utilizing high resolution satellite data in urban landscape characterization using a grid-based technique. Numéro de notice : A2012-542 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2012.657695 Date de publication en ligne : 23/02/2012 En ligne : https://doi.org/10.1080/10106049.2012.657695 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31988
in Geocarto international > vol 27 n° 7 (November 2012) . - pp 557 - 568[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2012071 RAB Revue Centre de documentation En réserve L003 Disponible Mapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery / J. Dong in ISPRS Journal of photogrammetry and remote sensing, vol 74 (Novembrer 2012)
[article]
Titre : Mapping tropical forests and rubber plantations in complex landscapes by integrating PALSAR and MODIS imagery Type de document : Article/Communication Auteurs : J. Dong, Auteur ; X. Xiao, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 20 - 33 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] afforestation
[Termes IGN] carte de la végétation
[Termes IGN] classification dirigée
[Termes IGN] classification par réseau neuronal
[Termes IGN] forêt tropicale
[Termes IGN] Hainan (Chine)
[Termes IGN] Hevea brasiliensis
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image Terra-MODIS
[Termes IGN] traitement d'image
[Termes IGN] zone tropicale humideRésumé : (Auteur) Knowledge of the spatial distribution of forest types in tropical regions is important for implementation of Reducing Emissions from Deforestation and Forest Degradation (REDD), better understanding of the global carbon cycle, and optimal forest management. Frequent cloud cover in moist tropical regions poses challenges for using optical images to map and monitor forests. Recently, Japan Aerospace Exploration Agency (JAXA) released a 50 m orthorectified mosaic product from the Phased Array Type L-band Synthetic Aperture Radar (PALSAR) onboard the Advanced Land Observing Satellite (ALOS). PALSAR data provides information about the land surface without cloud interference. In this study we use the fine beam dual (FBD) polarization PALSAR 50 m mosaic imagery and a Neural Network (NN) method to produce a land cover map in Hainan Island, China. Subsequently, forest areas are classified into evergreen and deciduous forests and rubber plantations are mapped using vegetation and land surface water indices derived from 250 to 500 m resolution MODIS products. The PALSAR 50 m forest cover map, MODIS-based forest types and rubber plantation maps are fused to generate fractional maps of evergreen forest, deciduous forest and rubber plantation within 500 m or 250 m pixels. PALSAR data perform well for land cover classification (overall accuracy = 89% and Kappa Coefficient = 0.79) and forest identification (both the Producer’s Accuracy and User’s Accuracy are higher than 92%). The resulting land cover maps of forest, cropland, water and urban lands are consistent with the National Land Cover Dataset of China in 2005 (NLCD-2005). Validation from ground truth samples indicates that the resultant rubber plantation map is highly accurate (the overall accuracy = 85%). Overall, this study provides insight on the potential of integrating cloud-free 50 m PALSAR and temporal MODIS data on mapping forest types and rubber plantations in moist tropical regions. Numéro de notice : A2012-603 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2012.07.004 En ligne : https://doi.org/10.1016/j.isprsjprs.2012.07.004 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32049
in ISPRS Journal of photogrammetry and remote sensing > vol 74 (Novembrer 2012) . - pp 20 - 33[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-2012081 SL Revue Centre de documentation Revues en salle Disponible
[n° ou bulletin]
Titre : vol 27 n° 6 - October 2012 Type de document : Périodique Année de publication : 2012 Importance : 74 p. Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection Numéro de notice : 059-201206 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Numéro de périodique En ligne : http://www.tandfonline.com/toc/tgei20/27/6#.Uf-1kGebvz8 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=bulletin_display&id=13460 [n° ou bulletin]Contient
- Quantifying deforestation in the Brazilian Amazon using advanced land observing satellite phased array L-band synthetic aperture radar (ALOS PALSAR) and shuttle imaging radar (SIR)-C data / M. Rahman in Geocarto international, vol 27 n° 6 (October 2012)
- Quantifying urban land cover change between 2001 and 2006 in the Gulf of Mexico region / George Xian in Geocarto international, vol 27 n° 6 (October 2012)
- Spatial mashup technology and real time data integration in geo-web application using open source GIS: a case study for disaster management / Harish Chandra Karnatak in Geocarto international, vol 27 n° 6 (October 2012)
- Dimensionality reduction of hyperspectral data using spectral fractal feature / K. Mukherjee in Geocarto international, vol 27 n° 6 (October 2012)
Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2012061 RAB Revue Centre de documentation En réserve L003 Disponible Landscape controls over major nutrients and primary productivity of Arctic lakes / P. Pathak in Cartography and Geographic Information Science, vol 39 n° 4 (October 2012)
[article]
Titre : Landscape controls over major nutrients and primary productivity of Arctic lakes Type de document : Article/Communication Auteurs : P. Pathak, Auteur ; R. Stine, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 187 - 198 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Alaska (Etats-Unis)
[Termes IGN] Arctique
[Termes IGN] azote
[Termes IGN] bassin hydrographique
[Termes IGN] chlorophylle
[Termes IGN] image radar
[Termes IGN] image SPOT
[Termes IGN] interaction spatiale
[Termes IGN] lac
[Termes IGN] macrophyte
[Termes IGN] marais
[Termes IGN] occupation du sol
[Termes IGN] phosphore
[Termes IGN] plante ripicole
[Termes IGN] production primaire brute
[Termes IGN] surveillance
[Termes IGN] zone tamponRésumé : (Auteur) Increasing surface temperatures in the Arctic are affecting the dynamics between lakes and their landscapes. In this paper, we use landscape metrics for land cover and statistical analysis to explore the interactions between such measures as shape and patch density indices for land cover and lake primary productivity. The objective was to identify metrics that could be used to predict lake primary productivity, as measured by chlorophyll a, total nitrogen and total phosphorus estimates. Land cover and landscape metrics for the Toolik region of Alaska were derived using satellite imagery and Fragstats software. The metrics, treated as independent variables in a stepwise regression, were derived for two levels of land cover. The first comprised the entire watershed studied; the second was derived using buffers created around water channels within each watershed. A statistically significant model for each dependent variable was obtained. Results suggest that, of the metrics tested; those related to broad leaf vegetation complexes were most useful in predicting lake primary productivity. The Landscape Shape Index for riparian patches and the Patch Density for heath complex were the two most important metrics for predicting variation in chlorophyll a (p Numéro de notice : A2012-574 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.1559/15230406394187 En ligne : https://doi.org/10.1559/15230406394187 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32020
in Cartography and Geographic Information Science > vol 39 n° 4 (October 2012) . - pp 187 - 198[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2012041 RAB Revue Centre de documentation En réserve L003 Disponible Quantifying deforestation in the Brazilian Amazon using advanced land observing satellite phased array L-band synthetic aperture radar (ALOS PALSAR) and shuttle imaging radar (SIR)-C data / M. Rahman in Geocarto international, vol 27 n° 6 (October 2012)
[article]
Titre : Quantifying deforestation in the Brazilian Amazon using advanced land observing satellite phased array L-band synthetic aperture radar (ALOS PALSAR) and shuttle imaging radar (SIR)-C data Type de document : Article/Communication Auteurs : M. Rahman, Auteur ; J. Tetuko Sri Sumantyo, Auteur Année de publication : 2012 Article en page(s) : pp 463 - 478 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] Amazonie
[Termes IGN] bande L
[Termes IGN] Brésil
[Termes IGN] carte de la végétation
[Termes IGN] couvert forestier
[Termes IGN] déboisement
[Termes IGN] image ALOS-PALSAR
[Termes IGN] image radar
[Termes IGN] image radar moirée
[Termes IGN] image SIR-C
[Termes IGN] matrice
[Termes IGN] zone intertropicaleRésumé : (Auteur) The study examined the capability of dual-polarization SAR data for forest cover mapping and change assessment in the Brazilian Amazon Forest regions. Shuttle Imaging Radar (SIR)-C and Advanced Land Observing Satellite Phased Array L-band Synthetic Aperture Radar (ALOS PALSAR) data were analysed to map and quantify deforestation. The images were classified using hybrid classifier, where each land cover was grouped in various spectral sub-classes interpreted on the imagery and later merged together to generate the desired land cover classes. The classification accuracy for forest was reasonably high (>90%). The technique applied in this study can be extended for operational mapping and monitoring of deforestation in the tropics, particularly for those regions which are often covered by cloud. Numéro de notice : A2012-509 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2011.638987 Date de publication en ligne : 13/01/2012 En ligne : https://doi.org/10.1080/10106049.2011.638987 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31955
in Geocarto international > vol 27 n° 6 (October 2012) . - pp 463 - 478[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2012061 RAB Revue Centre de documentation En réserve L003 Disponible Quantifying urban land cover change between 2001 and 2006 in the Gulf of Mexico region / George Xian in Geocarto international, vol 27 n° 6 (October 2012)PermalinkUsing thermal remote sensing in environmental studies / M. Kubiak in Transactions in GIS, vol 16 n° 5 (October 2012)PermalinkAquisição de imagens aéreas de alta resolução e baixo custo em mares baixas para pesquisas oceanograficas / D. Carneiro Da Silva in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkContributions of remote sensing to the cartographic development of the Brazilian territory: an introductory overview / M.C. Bonato Brandalize in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkDetection of areas for rainwater harvesting using airborne laser scanner and aerial imagery / Jorge Antonio Silva Centeno in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkIntegration of remote sensing and GIS for evaluating soil erosion risk in northwestern Zhejiang, China / Jianqin Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)PermalinkUtilisation de la télédétection et de données socio-économiques et écologiques pour comprendre l'impact des dynamiques de l'occupation des sols à Pacaja (Brésil) / J. Oszwald in Revue Française de Photogrammétrie et de Télédétection, n° 198 - 199 (Septembre 2012)PermalinkDetermining irrigated areas and quantifying blue water use in europe using remote sensing Meteosat Second Generation (MSG) products and Global Land Data Assimilation System (GLDAS) data / Mireia Romaguera in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkEstimating irrigated agricultural water use through Landsat TM and a simplified surface energy balance modeling in the semi-arid environments of Arizona / S. Kaplan in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)PermalinkMapping crop types, irrigated areas, and cropping intensities in heterogeneous landscapes of southern India using multi-temporal medium-resolution imagery: implications for assessing water use in agriculture / E. Heller in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 8 (August 2012)Permalink