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Dépouillements

Integration of remote sensing and GIS for evaluating soil erosion risk in northwestern Zhejiang, China / Jianqin Huang in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 9 (September 2012) . - pp 935 - 946 Titre : Integration of remote sensing and GIS for evaluating soil erosion risk in northwestern Zhejiang, China Type de document : Article/Communication Auteurs : Jianqin Huang, Auteur ; Dong Lu, Auteur ; Jin Li, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 935 - 946 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte pédologique [Termes IGN] Chine [Termes IGN] écosystème forestier [Termes IGN] érosion [Termes IGN] estimation statistique [Termes IGN] forêt tropicale [Termes IGN] gradient de pente [Termes IGN] image Landsat-TM [Termes IGN] modèle numérique de surface [Termes IGN] modèle RUSLE [Termes IGN] régression multiple [Termes IGN] risque naturel [Termes IGN] système d'information géographique Résumé : (Auteur) Estimation of soil loss using the Revised Universal Soil Loss Equation (rusle) has long been an active research topic, but its application in a large area is a challenge due to data availability and quality. In this study, the RUSLE model was used to evaluate soil erosion risk based on soil samples, a soil type map, digital elevation model (dem) data, and Landsat Thematic Mapper (tm) images. Multiple regression analysis was used to identify major factors influencing soil erosion risks. A regression model based on DEM-derived slope gradient and TM-derived fractional soil and vegetation images was developed to map soil erosion risk distribution in a forest ecosystem in Zhejiang, China. The developed method has the potential to quickly examine spatial distri-bution of soil erosion risks. This study provides a new insight for evaluating soil erosion risks in forest ecosystems with the integration of remote sensing and GIS. Numéro de notice : A2012-441 Affiliation des auteurs : non IGN Thématique : FORET/GEOMATIQUE/IMAGERIE Nature : Article DOI : 10.14358/PERS.78.9.935 En ligne : https://doi.org/10.14358/PERS.78.9.935 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31887 [article]

A variational gradient-based fusion method for visible and SWIR imagery / H. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 9 (September 2012) . - pp 947 - 958 Titre : A variational gradient-based fusion method for visible and SWIR imagery Type de document : Article/Communication Auteurs : H. Li, Auteur ; L. Zhang, Auteur ; H. Shen, Auteur ; P. Li, Auteur Année de publication : 2012 Article en page(s) : pp 947 - 958 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] appariement d'images [Termes IGN] débrumage [Termes IGN] effet atmosphérique [Termes IGN] fusion d'images [Termes IGN] gradient [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-SWIR [Termes IGN] longueur d'onde Résumé : (Auteur) This paper presents a new variational gradient-based fusion method for visible and short-wave infrared (swm) imagery. The proposed method enables spatial enhancement and dehazing of visible imagery. Integrating gradients from SWIR imagery into visible imagery produces a single image with true color and sharp gradients. A constraint based on band correlation is included to improve the enhancement and implement dehazing. The band correlation is according to the quantitative relationship between the wavelength and the atmospheric effect caused by Rayleigh scattering. In this study, both clear and hazy Landsat ETM+ images are used in the experiments. By visual assessment, the gradient of the fused image is more salient than that of the original image, and the true color is well preserved. With the inclusion of the band correlation constraint, the proposed fusion method yields almost haze-free results. Quantitatively, the Metric Q of the fused images is significantly higher than that of the original images; the largest increase of the Metric Q in the experimental results is from 0.0114 to 0.0611. Moreover, for the results of the proposed method, the Metric Q increase in the visible bands declines from blue band to red band. Numéro de notice : A2012-442 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.9.947 En ligne : https://doi.org/10.14358/PERS.78.9.947 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31888 [article]

Semi-automatic quality control of topographic data sets / Petra Helmholz in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 9 (September 2012) . - pp 959 - 972 Titre : Semi-automatic quality control of topographic data sets Type de document : Article/Communication Auteurs : Petra Helmholz, Auteur ; C. Becker, Auteur ; U. Breitkopf, Auteur ; et al., Auteur Année de publication : 2012 Article en page(s) : pp 959 - 972 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] analyse d'image numérique [Termes IGN] base de données topographiques [Termes IGN] contrôle qualité [Termes IGN] données topographiques [Termes IGN] image à basse résolution [Termes IGN] image à haute résolution [Termes IGN] image aérienne [Termes IGN] jeu de données localisées [Termes IGN] réseau sémantique Résumé : (Auteur) The usefulness and acceptance of geo-information systems are mainly depends on the quality of the underlying geo-data. This paper describes a novel system for semi-automatic quality control of existing topographic geo-spatial data via automatic image analysis. The goal is to reduce the manual effort for quality control of a GIS database to a minimum. The core of the system is a semantic network in which different image analysis operators can be included. The image analysis operators are created for specific applications, i.e., the quality control of specific object classes which are most relevant. Images which can be used in the system are aerial images, high-resolution satellite imagery, and low-resolution satellite imagery. A prototype of the system has been in use for several years at public mapping organizations. From the experience gained during this time, we give a detailed report on the system performance and an evaluation of the results. Numéro de notice : A2012-443 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.14358/PERS.78.9.959 En ligne : https://doi.org/10.14358/PERS.78.9.959 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31889 [article]

Topographic corrections of satellite data for regional monitoring / S. Goslee in Photogrammetric Engineering & Remote Sensing, PERS, vol 78 n° 9 (September 2012)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 78 n° 9 (September 2012) . - pp 973 - 981 Titre : Topographic corrections of satellite data for regional monitoring Type de document : Article/Communication Auteurs : S. Goslee, Auteur Année de publication : 2012 Article en page(s) : pp 973 - 981 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] correction atmosphérique [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] indice de végétation [Termes IGN] Pennsylvanie (Etats-Unis) [Termes IGN] réflectance spectrale [Termes IGN] soleil (étoile) [Termes IGN] surveillance de la végétation Résumé : (Auteur) The increased availability of satellite imagery has made regional monitoring programs possible. To compare images taken at different times, variation in reflectance caused by the interaction of sun position and topography must be corrected. Previous studies of topographic correction meth-ods have often used only single scenes taken under good conditions, and even then have found mixed effects. Six correction methods were tested on two Landsat scenes (TM and etm+) in central Pennsylvania obtained at low, medium, and high solar elevations. The effects of the corrections on band reflectance values and two ratio-based vegetation indices were assessed. Lambertian methods should not be used for regional monitoring of vegetation: these corrections are not band-specific, and thus do not remove topographic effects on vegetation indices. Instead, non-Lambertian methods such as the c-correction or Minnaert methods, particularly cover-based modifications of the latter, should be used. No methods provide effective correction under conditions of low or negative illumination, though such conditions are often found. An integrated approach including atmospheric corrections may offer a way to reduce topographic effects even at low illumination. Numéro de notice : A2012-444 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.78.9.973 En ligne : https://doi.org/10.14358/PERS.78.9.973 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=31890 [article]