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Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data / A.M. Schneider in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 12 (December 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 12 (December 2003) . - pp 1377 - 1386 Titre : Mapping urban areas by fusing multiple sources of coarse resolution remotely sensed data Type de document : Article/Communication Auteurs : A.M. Schneider, Auteur ; M. Friedl, Auteur ; D.K. Mciver, Auteur Année de publication : 2003 Article en page(s) : pp 1377 - 1386 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] cartographie urbaine [Termes IGN] classification dirigée [Termes IGN] données multitemporelles [Termes IGN] écosystème [Termes IGN] image multibande [Termes IGN] zone urbaine Résumé : (Auteur) In recent decades, rapid rates of population growth and urban expansion have led to widespread conversion of natural ecosystems and agricultural lands to urban land cover. The amount and rate of this land conversion affects local and regional ecosystems, climate, biogeochemistry, as well as food production. The main objective of the research described in this paper is to improve understanding of the methodological and validation requirements for mapping urban land cover over large areas from coarse resolution remotely sensed data. A technique called boosting is used to improve supervised classification accuracy and provides a means to integrate moDis data with the Dmsp nighttime lights data set and gridded population data. Results for North America indicate that fusion of these three data types improves urban classification results by resolving confusion between urban and other classes that occurs when any one of the data sets is used by itself. Traditional measures of accuracy assessment as well as new, mapletbased methods demonstrate the effectiveness of the methodology of creating maps of cities at continental scales. Numéro de notice : A2003-358 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.12.1377 En ligne : https://doi.org/10.14358/PERS.69.12.1377 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26438 [article]

A comparison of vector and raster GIS methods for calculating landscape metrics used in environmental assessments / T.G. Wade in Photogrammetric Engineering & Remote Sensing, PERS, vol 69 n° 12 (December 2003)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 69 n° 12 (December 2003) . - pp 1399 - 1405 Titre : A comparison of vector and raster GIS methods for calculating landscape metrics used in environmental assessments Type de document : Article/Communication Auteurs : T.G. Wade, Auteur ; J.D. Wickham, Auteur ; M.S. Nash, Auteur ; A.C. Neale, Auteur ; K. Riitters, Auteur ; K.B. Jones, Auteur Année de publication : 2003 Article en page(s) : pp 1399 - 1405 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse de groupement [Termes IGN] données maillées [Termes IGN] données vectorielles [Termes IGN] environnement [Termes IGN] estimation statistique [Termes IGN] ligne de partage des eaux [Termes IGN] paysage [Termes IGN] système d'information géographique Résumé : (Auteur)GIS-based measurements that combine native raster and native vector data are commonly used in environmental assessments. Most of these measurements can be calculated using either raster or vector data formats and processing methods. Raster processes are more commonly used because they can be significantly faster computationally than vector, but error is introduced in converting vector data to raster. This conversion error has been widely studied and quantified, but the impact on environmental assessment results has not been investigated. We examined four Gis-based measurements commonly used in environmental assessments for approximately 1000 watersheds in the state of Maryland and Washington, D.C. Each metric was calculated using vector and raster methods, and estimated values were compared using a paired t-test, Spearman rank correlation, and cluster analyses. Paired t-tests were used to determine the statistical significance of quantitative differences between methods, and Spearman rank correlation and cluster analyses were used to evaluate the impact of the differences on environmental assessments. Paired t-test results indicated significant quantitative differences between methods for three of the four metrics. However, Spearman ranks and cluster analyses indicated that the quantitative differences would not affect environmental assessment results. Spearman rank correlations between vector and raster values were greater than 0.98 for all comparisons. Cluster analyses resulted in identical assignment for 88 percent to over 98 percent of watersheds analyzed among vector and various raster methods. Numéro de notice : A2003-359 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.69.12.1399 En ligne : https://doi.org/10.14358/PERS.69.12.1399 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=26439 [article]