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GIS and high resolution Spot imagery evaluating the impact of urbanization on agricultural lands / H. Anys in Geocarto international, vol 17 n° 3 (September - November 2002)  

Public [article]  inGeocarto international > vol 17 n° 3 (September - November 2002) . - pp 35 - 41 Titre : GIS and high resolution Spot imagery evaluating the impact of urbanization on agricultural lands Type de document : Article/Communication Auteurs : H. Anys, Auteur ; Dong-Chen He, Auteur ; N. Bijaber, Auteur ; A. Bannari, Auteur Année de publication : 2002 Article en page(s) : pp 35 - 41 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] aide à la décision [Termes IGN] carte d'occupation du sol [Termes IGN] cartographie statistique [Termes IGN] classification [Termes IGN] image panchromatique [Termes IGN] image SPOT [Termes IGN] occupation du sol [Termes IGN] surface cultivée [Termes IGN] système d'information géographique [Termes IGN] urbanisation Résumé : (Auteur) This study advocates the use of GIS and remote sensing technologies to establish urban evolution maps and assess the impact of urbanization on agricultural areas over the last three decades. The target area is the city of BeniMellal, located in central Morocco. The methodology adopted makes use of panchromatic SPOT images to survey the urban areas during the 1980s and 1990s. Available topographic maps provided the information for the 1970s. Maps and statistics of land use and urban growth for Beni Mellal were established after manually classifying images on a perpolygon basis and digitizing topographic maps using GIS capabilities. The results show an increase in dense urban area by 980.7 ha from the 1970s to the 1990s. This increase occurred at the expense of forests (24.7 ha), plantations (752.3 ha), rangeland (113.4 ha), nonirrigated land (69.7 ha), and irrigated land (20.6 ha). During this period, scattered urban areas, predominantly suburbs, increased by 755.9 ha to the detriment of forests (14.9 ha), plantations (109.8 ha), rangeland (138.9 ha), nonirrigated land (400.5 ha), and irrigated land (91.9 ha). These cartographic and statistic results are efficient decisionmaking tools for protecting agricultural land and planning urban and suburban areas. Numéro de notice : A2002-285 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542242 En ligne : https://doi.org/10.1080/10106040208542242 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22196 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-02031	RAB	Revue	Centre de documentation	En réserve L003	Disponible

Land cover classification models using Shuttle Imaging Radar (SIR-C) data: a case study in New Hampshire, USA / R. Narayanan in Geocarto international, vol 17 n° 3 (September - November 2002)  

Public [article]  inGeocarto international > vol 17 n° 3 (September - November 2002) . - pp 57 - 65 Titre : Land cover classification models using Shuttle Imaging Radar (SIR-C) data: a case study in New Hampshire, USA Type de document : Article/Communication Auteurs : R. Narayanan, Auteur ; Jing Zhang, Auteur Année de publication : 2002 Article en page(s) : pp 57 - 65 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] classification dirigée [Termes IGN] classification par maximum de vraisemblance [Termes IGN] classification par réseau neuronal [Termes IGN] covariance [Termes IGN] fréquence [Termes IGN] image radar [Termes IGN] image SIR-C [Termes IGN] New Hampshire (Etats-Unis) [Termes IGN] occupation du sol [Termes IGN] polarisation [Termes IGN] précision de la classification [Termes IGN] réalité de terrain [Termes IGN] variance Résumé : (Auteur) Spaceborne synthetic aperture radar (SAR) systems have the ability to provide high resolution information on land cover characteristics under adverse conditions such as darkness or cloud cover. The use of multiple frequencies and multiple polarizations yields better classification accuracies. The results of various land cover classification algorithms using Shuttle Imaging Radar (SIR-C) SAR data as applied to a site in Suncook, New Hampshire, are described in this paper. Three classification models were developed and tested: minimum distance classification, maximum a posteriori probability classification, and neural network classification. Using the available ground truth information, land cover was classified into five distinct regions: water, swamp, sand, trees, and grass. All three methods were applied to the same site and results compared. The maximum a posteriori probability approach yielded the highest overall classification accuracy on a pixelbypixel basis. Although the minimum distance approach was simpler than the maximum a posteriori approach, its performance was not as good as the latter since it did not use the covariance information between the data channels. The neural network approach performed well and its results were comparable to the maximum a posteriori approach when the variance of the data was small; however, its performance degraded rapidly when the variance of the data was high. Numéro de notice : A2002-286 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/10106040208542245 En ligne : https://doi.org/10.1080/10106040208542245 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22197 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
059-02031	RAB	Revue	Centre de documentation	En réserve L003	Disponible