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Auteur S. Saran |
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vol IV-5 - November 2018 - [actes] ISPRS TC V Mid-term Symposium "Geospatial Technology – Pixel to People", 20–23 November 2018, Dehradun, India (Bulletin de ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences) / A. Senthil KumarMarkov random field-based method for super-resolution mapping of forest encroachment from remotely sensed ASTER image / L. K. Tiwari in Geocarto international, vol 31 n° 3 - 4 (March - April 2016)
[article]
Titre : Markov random field-based method for super-resolution mapping of forest encroachment from remotely sensed ASTER image Type de document : Article/Communication Auteurs : L. K. Tiwari, Auteur ; S.K. Sinha, Auteur ; S. Saran, Auteur ; et al., Auteur Année de publication : 2016 Article en page(s) : pp 428 - 445 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] carte d'occupation du sol
[Termes IGN] champ aléatoire de Markov
[Termes IGN] changement d'utilisation du sol
[Termes IGN] classification par maximum de vraisemblance
[Termes IGN] forêtRésumé : (Auteur) Forest encroachment (FE) is a problem in Andaman and Nicobar Islands (ANI) in India for environment and planning. Small gaps created in the forest slowly expand its periphery disturbing the biodiversity. Therefore, intrusion of poachers, slash and burn and other factors causing FE must be carefully detected and monitored. Remote sensing offers a great opportunity to accomplish this task because of its synoptic view. Conventional classification methods with remotely sensed images are problematic because of small size of FE and mixed landcover composition. This study presents an application of super-resolution mapping (SRM) based on Markov random field for detection of FE using ASTER (15 m) images. The SRM results were validated using multispectral IRS LISS-IV (5.8 m) image. Non-contiguous FE patches of various sizes and shapes are characterized using the spatial contextual information. The novelty of this approach lies in the identification and separability of small FE pockets which could not be achieved with pixel-based maximum likelihood classifier (MLC). The SRM parameters were optimized and found comparable to previous studies. Classification accuracy obtained with SRM at scale factor 3 is κ = 0.62 that is superior to accuracy of MLC (κ = 0.51). SRM is a promising tool for detection and monitoring of FE at Rutland Island in ANI, India. Numéro de notice : A2016-157 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106049.2015.1054441 Date de publication en ligne : 01/07/2015 En ligne : http://www.tandfonline.com/doi/full/10.1080/10106049.2015.1054441 Format de la ressource électronique : URL sommaire Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80401
in Geocarto international > vol 31 n° 3 - 4 (March - April 2016) . - pp 428 - 445[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2016021 RAB Revue Centre de documentation En réserve L003 Disponible Geospatial database organization and spatial decision analysis for biodiversity databases in web GIS environment / Harish Chandra Karnatak in Geocarto international, vol 25 n° 1 (February 2010)
[article]
Titre : Geospatial database organization and spatial decision analysis for biodiversity databases in web GIS environment Type de document : Article/Communication Auteurs : Harish Chandra Karnatak, Auteur ; S. Saran, Auteur ; K. Bhatia, Auteur ; P. Roy, Auteur Année de publication : 2010 Article en page(s) : pp 3 - 23 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse multicritère
[Termes IGN] analyse spatiale
[Termes IGN] base de données localisées
[Termes IGN] biodiversité
[Termes IGN] distribution spatiale
[Termes IGN] outil d'aide à la décision
[Termes IGN] ressources naturelles
[Termes IGN] système d'information géographique
[Termes IGN] vecteur propre
[Termes IGN] WebSIGRésumé : (Auteur) The spatial decision-making process in multi-user environment is a quite challenging and complex task in group decision-making environment. The effective database design and GIS analysis techniques are very important at the host organization level. The biodiversity conservation prioritization is one of the complex issues for the conservation authorities. Various ecological and socio-economic drivers govern the spatial distribution of biologically rich communities. These drivers are important inputs to the modelling process with different rank criteria and probabilistic weight in order to arrive at a decision-making process. In the present article, a new database design and decision analysis technique is proposed for the natural resource management and planning in Web geographic information systems environment. The study is demonstrated for the geospatial decision analysis with an output validation utility where the analytic hierarchy process is used to derive the eigen vectors with given multiple constraints and conflicting criteria and aims at selecting an optimal site for the biodiversity conservations. Copyright Taylor & Francis Numéro de notice : A2010-052 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040802677045 Date de publication en ligne : 01/04/2009 En ligne : https://doi.org/10.1080/10106040802677045 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30248
in Geocarto international > vol 25 n° 1 (February 2010) . - pp 3 - 23[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-2010011 RAB Revue Centre de documentation En réserve L003 Disponible Multicriteria spatial decision analysis in web GIS environment / Harish Chandra Karnatak in Geoinformatica, vol 11 n° 4 (December 2007)
[article]
Titre : Multicriteria spatial decision analysis in web GIS environment Type de document : Article/Communication Auteurs : Harish Chandra Karnatak, Auteur ; S. Saran, Auteur ; K. Bhatia, Auteur ; P.S. Roy, Auteur Année de publication : 2007 Article en page(s) : pp 405 - 429 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] analyse multicritère
[Termes IGN] analyse spatiale
[Termes IGN] approche hiérarchique
[Termes IGN] ArcIms
[Termes IGN] ArcSDE
[Termes IGN] base de données documentaires
[Termes IGN] biodiversité
[Termes IGN] diffusion de données
[Termes IGN] diffusion par internet
[Termes IGN] Oracle 9I
[Termes IGN] outil d'aide à la décision
[Termes IGN] serveur de données localisées
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Internet, a client/server system, is a perfect means of GIS data accessing, analyzing and transmission. The World Wide Web, FTP (file transfer protocol) and HTTP programs make it convenient to access and transfer data files across the Internet. Using Internet for GIS makes it easy access to acquire GIS data from diverse data sources in the distributed environment. The geospatial multicriteria decision analysis in a client/server environment is an important and challenging task for the GIS community because of narrow Internet bandwidth for large geospatial data sets. In the present paper, we are developing a multicriteria decision analysis tool for spatial decision making in the web GIS environment. The developed system has been demonstrated for biodiversity conservation and priorities. An attempt has been made to generate the alternative decisions based on priority vectors. The multicriteria technique of Analytic Hierarchy Process (AHP) is used to derive the eigen vectors with the given multiple constraints of conflicting criteria and aims at selecting optimal alternative from the available sets. However, the evaluation recognizes the importance of expert knowledge when assigning the weights for the best spatial priorities. Comparing within classes and alternatives using judgment and decision matrix is based on Saaty's Pairwise Comparison. The Multicriteria Spatial Decision Support System (MC-SDSS) software development uses ASP, ArcIMS 9.0, ArcSDE9.0, and Oracle 9i data server in the web GIS environment. The database organization of spatial and non-spatial data is done in the RDBMS environment using ArcSDE and Oracle 9i data server. Copyright Springer Numéro de notice : A2007-468 Affiliation des auteurs : non IGN Thématique : BIODIVERSITE/GEOMATIQUE Nature : Article DOI : 10.1007/s10707-006-0014-8 En ligne : https://doi.org/10.1007/s10707-006-0014-8 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28831
in Geoinformatica > vol 11 n° 4 (December 2007) . - pp 405 - 429[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 057-07041 RAB Revue Centre de documentation En réserve L003 Disponible