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Mangrove mapping and monitoring: RS and GIS in conservation and management planning / S.K. Singh in GIM international, vol 20 n° 3 (March 2006)
[article]
Titre : Mangrove mapping and monitoring: RS and GIS in conservation and management planning Type de document : Article/Communication Auteurs : S.K. Singh, Auteur ; S.P.S. Kushwaha, Auteur ; P. Joshi, Auteur Année de publication : 2006 Article en page(s) : pp 61 - 63 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] analyse spatiale
[Termes IGN] classification dirigée
[Termes IGN] écosystème
[Termes IGN] image IRS
[Termes IGN] Inde
[Termes IGN] mangrove
[Termes IGN] surveillance forestière
[Termes IGN] système d'information géographiqueRésumé : (Editeur) The mangroves of the Sunderban area in India are one of the most productive and diverse ecosystems in the world, and yet they are a threatened habitat. To formulate a conservation and management plan periodic mapping and monitoring of mangroves is a prime requisite. The authors demonstrate that remote sensing and GIS techniques, including visual interpretation, are effective and efficient techniques for this purpose. Numéro de notice : A2006-114 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27841
in GIM international > vol 20 n° 3 (March 2006) . - pp 61 - 63[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 061-06031 SL Revue Centre de documentation Revues en salle Disponible Regional study for mapping the natural resources prospect and problem zones using remote sensing and GIS / R.K. Jaiswal in Geocarto international, vol 20 n° 3 (September - November 2005)
[article]
Titre : Regional study for mapping the natural resources prospect and problem zones using remote sensing and GIS Type de document : Article/Communication Auteurs : R.K. Jaiswal, Auteur ; J. Krishnamurthy, Auteur ; S. Mukherjee, Auteur Année de publication : 2005 Article en page(s) : pp 21 - 31 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] cartographie thématique
[Termes IGN] eau souterraine
[Termes IGN] image IRS-LISS
[Termes IGN] incendie de forêt
[Termes IGN] Inde
[Termes IGN] plan d'exposition aux risques
[Termes IGN] ressources naturelles
[Termes IGN] risque naturel
[Termes IGN] système d'information géographiqueRésumé : (Auteur) A systematic approach of understanding the terrain characteristics at the regional level and then narrowing down to the target areas for detailed mapping not only improves the quality of information but also saves considerably time, cost and manpower. For such activities, satellite-based remote sensing technology has become an efficient tool, due to its synoptic/multi-spectral/multi-temporaI coverage. In the present study, initially, a regional level natural resources assessment was carried out using coarse scale satellite data and then based on the results, a representative site was identified for detailed studies towards resources potential evaluation and to identify the areas undergoing calamities like forest fire. This multi stage study was carried out for a part of Madhya Pradesh, India. The regional set up of the study area was carried out on 1:250,000 scale using IRS LISS III standard FCC analog and digital data. A representative site named 'Gorna'sub-basin of the Son River, was selected for the detailed study at 1:50,000 scale, to mainly address the natural resources related problems of the region. The different thematic maps prepared were integrated in a GIS environment with suitable modeling for ground water prospect zone demarcation and forest fire risk zonation. Using the digital database of various themes, it could also be used appropriately for deriving other developmental plans. The result of the study demonstrate the utility of remote sensing technology for assessment of natural resources potentials at regional and local levels. Numéro de notice : A2005-445 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040508542352 Date de publication en ligne : 02/01/2008 En ligne : https://doi.org/10.1080/10106040508542352 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27581
in Geocarto international > vol 20 n° 3 (September - November 2005) . - pp 21 - 31[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 059-05031 RAB Revue Centre de documentation En réserve L003 Disponible A quantitative comparison of methods for classifying burned areas with LISS-3 imagery / R.M. Roman-Cuesta in International Journal of Remote Sensing IJRS, vol 26 n° 9 (May 2005)
[article]
Titre : A quantitative comparison of methods for classifying burned areas with LISS-3 imagery Type de document : Article/Communication Auteurs : R.M. Roman-Cuesta, Auteur ; J. Retana, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 1979 - 2003 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] analyse multibande
[Termes IGN] classificateur paramétrique
[Termes IGN] classification dirigée
[Termes IGN] image IRS-LISS
[Termes IGN] impact sur l'environnement
[Termes IGN] incendie de forêt
[Termes IGN] surveillance écologiqueRésumé : (Auteur) Environmental agencies frequently require tools for quick assessments of areas affected by large fires. Remote sensing techniques have been reported as efficient tools to evaluate the effects of fire. However, there exist few quantitative comparisons about the performance of the diverse methods. This study quantitatively evaluated the accuracy of five different techniques, a field survey and four satellite-based techniques, in order to quickly classify a large forest fire that occurred in 1998 in Solsonès (north-east Spain) by means of an IRS LISS-3 image. Three pure classes were determined: burned area, unburned vegetation, and bare soil; along with a non-pure class that we called mixed area. These selected techniques were included into a tree classifier to investigate their partial contribution to the final classification. The most accurate methods when focusing on pure classes were those directly related to the spectral characteristics of the pixel: Reflectance Data and Spectral Unmixing (82% of overall accuracy), versus the poorer performances of Vegetation Indices (70%), Textural measures (72%) and the field survey (68.6%). Since no image processing technique was applied to the Raw Reflectance Data, it can be considered the most cost-effective method, and the tree classifier reinforces its importance. The results of this study reveal that time consuming and expensive methods are not necessarily the most accurate, especially when potentially easily distinguishable classes are involved. Numéro de notice : A2005-258 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331299315 En ligne : https://doi.org/10.1080/01431160512331299315 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27394
in International Journal of Remote Sensing IJRS > vol 26 n° 9 (May 2005) . - pp 1979 - 2003[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 080-05091 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Landslide susceptibility mapping using GIS and the weight-of-evidence model / S. Lee in International journal of geographical information science IJGIS, vol 18 n° 8 (december 2004)
[article]
Titre : Landslide susceptibility mapping using GIS and the weight-of-evidence model Type de document : Article/Communication Auteurs : S. Lee, Auteur ; J. Choi, Auteur Année de publication : 2004 Article en page(s) : pp 789 - 814 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] ArcInfo
[Termes IGN] axiome de Bayes
[Termes IGN] cartographie des risques
[Termes IGN] Corée du sud
[Termes IGN] dommage matériel
[Termes IGN] effondrement de terrain
[Termes IGN] image IRS
[Termes IGN] image Landsat-TM
[Termes IGN] modèle stochastique
[Termes IGN] risque naturel
[Termes IGN] système d'information géographiqueRésumé : (Auteur) The weights-of-evidence model (a Bayesian probability model) was applied to the task of evaluating landslide susceptibility using GIS. Using landslide location and a spatial database containing information such as topography, soil, forest, geology, land cover and lineament, the weights-of-evidence model was applied to calculate each relevant factor's rating for the Boun area in Korea, which had suffered substantial landslide damage following heavy rain in 1998. In the topographic database, the factors were slope, aspect and curvature; in the soil database, they were soil texture, soil material, soil drainage, soil effective thickness and topographic type; in the forest map, they were forest type, timber diameter, timber age and forest density; lithology was derived from the geological database; land-use information came from Landsat TM satellite imagery; and lineament data from IRS satellite imagery. Tests of conditional independence were performed for the selection of factors, allowing 43 combinations of factors to be analysed. For the analysis of mapping landslide susceptibility, the contrast values, W+ and W-, of each factor's rating were overlaid spatially. The results of the analysis were validated using the previous landslide locations. The combination of slope, curvature, topography, timber diameter, geology and lineament showed the best results. The results can be used for hazard prevention and land-use planning. Numéro de notice : A2004-484 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/13658810410001702003 En ligne : https://doi.org/10.1080/13658810410001702003 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27002
in International journal of geographical information science IJGIS > vol 18 n° 8 (december 2004) . - pp 789 - 814[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 079-04081 RAB Revue Centre de documentation En réserve L003 Disponible 079-04082 RAB Revue Centre de documentation En réserve L003 Disponible Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea / S. Lee in International Journal of Remote Sensing IJRS, vol 25 n° 11 (June 2004)
[article]
Titre : Probabilistic landslide hazard mapping using GIS and remote sensing data at Boun, Korea Type de document : Article/Communication Auteurs : S. Lee, Auteur ; J. Choi, Auteur ; K. Min, Auteur Année de publication : 2004 Article en page(s) : pp 2037 - 2052 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] base de données localisées
[Termes IGN] cartographie des risques
[Termes IGN] classification dirigée
[Termes IGN] Corée
[Termes IGN] données de terrain
[Termes IGN] effondrement de terrain
[Termes IGN] image IRS
[Termes IGN] linéament
[Termes IGN] lithologie
[Termes IGN] occupation du sol
[Termes IGN] photo-interprétation assistée par ordinateur
[Termes IGN] photographie aérienne
[Termes IGN] risque naturel
[Termes IGN] système d'information géographique
[Termes IGN] zone à risqueRésumé : (Auteur) The aim of this study is to evaluate the hazard of landslides at Boun, Korea, using a Geographic Information System (GIS) and remote sensing. Landslide locations were identified in the Boun area from interpretation of aerial photographs and field surveys. The topographic, soil, forest, geologic, lineament and land cover data were collected, processed and constructed into a spatial database using GIS and remote sensing data. The factors that influence landslide occurrence, such as slope, aspect and curvature of the topography, were calculated from the topographic database. Texture, material, drainage and effective soil thickness were extracted from the soil database, and type, age, diameter and density of timber were extracted from the forest database. The lithology was extracted from the geological database and lineaments were detected from Indian Remote Sensing (IRS) satellite images. The land cover was classified based on the Landsat Thematic Mapper (TM) satellite image. Landslide hazard areas were analysed and mapped, using the landslide-occurrence factors, by the probability-likelihood ratio method. The results of the analysis were verified using actual landslide location data. The validation results showed satisfactory agreement between the hazard map and the existing data on landslide locations. Numéro de notice : A2004-226 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160310001618734 En ligne : https://doi.org/10.1080/01431160310001618734 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26753
in International Journal of Remote Sensing IJRS > vol 25 n° 11 (June 2004) . - pp 2037 - 2052[article]Exemplaires (1)
Code-barres Cote Support Localisation Section Disponibilité 080-04091 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Observation de la Terre : Les débuts difficiles mais prometteurs de la résolution sub-métrique optique / Alain Dupéret in Revue Française de Photogrammétrie et de Télédétection, n°173-174 (Juin 2004)PermalinkAn integrated approach for landslide susceptibility mapping using remote sensing and GIS / S. Sarkar in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 5 (May 2004)PermalinkFour years of oceans colour remote sensing with MOS-IRS / M. Hetscher in International Journal of Remote Sensing IJRS, vol 25 n° 7 (April 2004)PermalinkCloud screening in IRS-P4 OCM satellite data: potential of spatial coherence method in the absence of thermal channel information / S.K. Nair in Remote sensing of environment, vol 90 n° 2 (30/03/2004)PermalinkA wavelet approach to road extraction from high spatial resolution remotely-sensed imagery / Qiaoping Zhang in Geomatica, vol 58 n° 1 (March 2004)PermalinkAn artificial neural network approach for landslide hazard zonation in the Bhagirathi (Ganga) Valley, Himalayas / M.K. Arora in International Journal of Remote Sensing IJRS, vol 25 n° 3 (February 2004)PermalinkApplication of stereoscopic satellite images for studying Quaternary tectonics in arid regions / B. Fu in International Journal of Remote Sensing IJRS, vol 25 n° 3 (February 2004)PermalinkSegmentation of remotely sensed images using wavelet and their evaluation in soft computing framework / M. Acharyya in IEEE Transactions on geoscience and remote sensing, vol 41 n° 12 (December 2003)PermalinkComparative evaluation of Indian remote sensing multi-spectral sensors data for crop classification / R.P. Singh in Geocarto international, vol 17 n° 2 (June - August 2002)PermalinkAdaptation du modèle orbitographique Spot 4 aux satellites / J.C. Clerget (2002)Permalink