Geocarto international . vol 21 n° 4Paru le : 01/12/2006 ISBN/ISSN/EAN : 1010-6049 |
[n° ou bulletin]
[n° ou bulletin]
|
Exemplaires(1)
Code-barres | Cote | Support | Localisation | Section | Disponibilité |
---|---|---|---|---|---|
059-06041 | RAB | Revue | Centre de documentation | En réserve L003 | Disponible |
Dépouillements
Ajouter le résultat dans votre panierComparison and integration of radar and optical data for land use / cover mapping / Nathaniel D. Herold in Geocarto international, vol 21 n° 4 (December 2006 - February 2007)
[article]
Titre : Comparison and integration of radar and optical data for land use / cover mapping Type de document : Article/Communication Auteurs : Nathaniel D. Herold, Auteur ; Barry N. Haack, Auteur Année de publication : 2006 Article en page(s) : pp 9 - 19 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image mixte
[Termes IGN] analyse comparative
[Termes IGN] analyse texturale
[Termes IGN] carte d'occupation du sol
[Termes IGN] classification dirigée
[Termes IGN] filtre de déchatoiement
[Termes IGN] fusion d'images
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image optique
[Termes IGN] image radar
[Termes IGN] image Radarsat
[Termes IGN] Kenya
[Termes IGN] signature spectrale
[Termes IGN] utilisation du sol
[Termes IGN] varianceRésumé : (Auteur) This study examined the complementarity of spaceborne radar and optical data for surface feature identification. RADARSAT data sets were assessed independently and in combination with Landsat Thematic Mapper (TM) multispectral data. The primary methodology was spectral signature extraction and the application of a statistical decision rule to classify the surface features for a site near Kericho, Kenya. Relative accuracy of the resultant classifications was established by digital integration and comparison to reference information derived from field visitation. Speckle filtering was a great improvement over the poor results achieved with the unfiltered, original radar data but still not adequate for accurate land cover classification. The extraction and use of Variance texture measures was found to be very advantageous. The overall results were not significant improvements over speckle removal (6 % increase) but several individual classes, forest and urban, had excellent results with texture. Combinations of radar with Landsat TM greatly improved results, achieving near perfect classification of all individual classes. The highest overall accuracy was achieved with a merger that included the best individual texture image and six reflectance bands of the TM data. The systematic strategy of this study, determination of the best individual method before introducing the next procedure, was effective in managing a very complex, almost infinite set of analysis possibilities. Copyright Geocarto international Numéro de notice : A2006-585 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040701204354 Date de publication en ligne : 04/01/2008 En ligne : https://doi.org/10.1080/10106040701204354 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28308
in Geocarto international > vol 21 n° 4 (December 2006 - February 2007) . - pp 9 - 19[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-06041 RAB Revue Centre de documentation En réserve L003 Disponible Census of natural resources with earth observation and GIS : a proto-type from India / R.K. Jaiswail in Geocarto international, vol 21 n° 4 (December 2006 - February 2007)
[article]
Titre : Census of natural resources with earth observation and GIS : a proto-type from India Type de document : Article/Communication Auteurs : R.K. Jaiswail, Auteur ; M. Sameena, Auteur ; M. Rao, Auteur ; V. Jayaraman, Auteur Année de publication : 2006 Article en page(s) : pp 37 - 48 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] 1:50.000
[Termes IGN] carte thématique
[Termes IGN] couche thématique
[Termes IGN] données localisées de référence
[Termes IGN] gestion de l'eau
[Termes IGN] image IRS
[Termes IGN] Inde
[Termes IGN] infrastructure nationale des données localisées
[Termes IGN] inventaire
[Termes IGN] milieu urbain
[Termes IGN] ressources naturelles
[Termes IGN] système d'information géographiqueRésumé : (Auteur) Census is the count or inventory of specific phenomenon, such as population, wild life, industry, livestock etc. Another aspect is that census is carried out periodically to show the changing trends of the phenomenon and state. Space based imaging systems, from their vantage position, has unambiguously demonstrated their capability in providing vital information on natural resources. With the availability of high-resolution multi-spectral and panchromatic earth observation images and geographic information system, can we now consider a natural resources census? The census of natural resources - land, water, soils, forests and other elements conducted in a systematic manner and with a repeat cycle to depict changes and modifications can provide a "snap-shot" of a country's status of natural resource at a particular moment of time and help in identifying areas of rapid and significant changes, which can be monitored in detail. Such inventory with periodic monitoring would help in managing the natural resources and will provide inputs to meet the demands of large population in terms of more food production, more energy generation, water management, better civic amenities, more infrastructure built-up and increasing per-capital expenditure for maintaining a quality of life. In India, Natural Resources Census (NRC) programme has been conceptualized and is being implemented. The NRC will use Indian Remote Sensing satellite images and prepares natural resources information layers of 7 key themes (land use/land cover, soil, geomorphology, vegetation, snow/glacier, land degradation, wetlands) at 1:50,000 scale with the periodicity of 5-20 years for different themes. The NRC maps and data support the repository of natural resources information and contribute to the operationalisation of a spatial data infrastructure (SDI). Recognising that standardization of methodology for mapping and spatial database generation to enable NRC for SDI is important, few proto-type NRC studies has been conducted. This paper discusses the concept of a nation-wide NRC programme and the results of one of the proto-type studies (Bangalore urban district) that India has carried out. The concept, methodology and standards suggested for NRC will be certainly useful for any country. Copyright Geocarto international Numéro de notice : A2006-586 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040608542401 Date de publication en ligne : 04/01/2008 En ligne : https://doi.org/10.1080/10106040608542401 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28309
in Geocarto international > vol 21 n° 4 (December 2006 - February 2007) . - pp 37 - 48[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-06041 RAB Revue Centre de documentation En réserve L003 Disponible Integration of GPS and remote sensing into GIS: a case study of rectifying satellite imagery using uncorrected coordinates in different scenes / J. Gao in Geocarto international, vol 21 n° 4 (December 2006 - February 2007)
[article]
Titre : Integration of GPS and remote sensing into GIS: a case study of rectifying satellite imagery using uncorrected coordinates in different scenes Type de document : Article/Communication Auteurs : J. Gao, Auteur ; Y. Zha, Auteur Année de publication : 2006 Article en page(s) : pp 59 - 65 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] base de données localisées
[Termes IGN] carte topographique
[Termes IGN] coordonnées GPS
[Termes IGN] correction d'image
[Termes IGN] géoréférencement
[Termes IGN] image Landsat-TM
[Termes IGN] image multibande
[Termes IGN] image panchromatique
[Termes IGN] image SPOT
[Termes IGN] limite de résolution géométrique
[Termes IGN] point d'appui
[Termes IGN] positionnement par GPS
[Termes IGN] système d'information géographiqueRésumé : (Auteur) This paper explores the feasibility of integrating GPS and remote sensing data into a GIS database through rectification of satellite images of both urban and rural areas using uncorrected GPS coordinates. A GPS receiver was used to log the coordinates of 25 ground control points (GCPs) in a rural area and 20 GCPs in an urban area. Their coordinates were also read from topographic maps. Both sets of coordinates were used to rectify Landsat TM, and SPOT panchromatic (PAN) and multispectral (XL) images. It is found that none of the GPS coordinates are able to achieve an acceptable accuracy level of integration unless some inaccurate GCPs are excluded. The percentage of useable GCPs varies from less than 50 to nearly 90, depending on the spatial resolution of the image and the ease of GCP identification. On average, the difficulty in identifying GCPs on the ground and the image degrades integration accuracy by up to one pixel. Copyright Geocarto international Numéro de notice : A2006-587 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040608542403 Date de publication en ligne : 04/01/2008 En ligne : https://doi.org/10.1080/10106040608542403 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28310
in Geocarto international > vol 21 n° 4 (December 2006 - February 2007) . - pp 59 - 65[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 059-06041 RAB Revue Centre de documentation En réserve L003 Disponible