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Land-cover change and environmental impact analysis in the Greater Mankato area of Minnesota using remote sensing and GIS modelling / F. Yuan in International Journal of Remote Sensing IJRS, vol 29 n°3-4 (February 2008)
[article]
Titre : Land-cover change and environmental impact analysis in the Greater Mankato area of Minnesota using remote sensing and GIS modelling Type de document : Article/Communication Auteurs : F. Yuan, Auteur Année de publication : 2008 Article en page(s) : pp 1169 - 1184 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection
[Termes IGN] aménagement du territoire
[Termes IGN] analyse diachronique
[Termes IGN] apprentissage automatique
[Termes IGN] carte d'occupation du sol
[Termes IGN] détection de changement
[Termes IGN] fusion d'images
[Termes IGN] image Quickbird
[Termes IGN] impact sur l'environnement
[Termes IGN] Minnesota (Etats-Unis)
[Termes IGN] photographie aérienne
[Termes IGN] planification urbaine
[Termes IGN] surface imperméable
[Termes IGN] système d'information géographique
[Termes IGN] urbanisationRésumé : (Auteur) Land use and land-cover (LULC) data provide essential information for environmental management and planning. This research evaluates the land-cover change dynamics and their effects for the Greater Mankato Area of Minnesota using image classification and Geographic Information Systems (GIS) modelling in high-resolution aerial photography and QuickBird imagery. Results show that from 1971 to 2003, urban impervious surfaces increased from 18.3% to 32.6%, while cropland and grassland decreased from 54.2% to 39.1%. The dramatic urbanization caused evident environmental impacts in terms of runoff and water quality, whereas the annual air pollution removal rate and carbon storage/sequestration remained consistent since urban forests were steady over the 32-year span. The results also indicate that highly accurate land-cover features can be extracted effectively from high-resolution imagery by incorporating both spectral and spatial information, applying an image-fusion technique, and utilizing the hierarchical machine-learning Feature Analyst classifier. This research fills the high-resolution LULC data gap for the Greater Mankato Area. The findings of the study also provide valuable inputs for local decision-makers and urban planners. Copyright Taylor & Francis Numéro de notice : A2008-008 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160701294703 En ligne : https://doi.org/10.1080/01431160701294703 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29003
in International Journal of Remote Sensing IJRS > vol 29 n°3-4 (February 2008) . - pp 1169 - 1184[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-08021 RAB Revue Centre de documentation En réserve L003 Disponible Geometric accuracy assessment of QuickBird basic imagery using different operational approaches / M. Aguilar in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 12 (December 2007)
[article]
Titre : Geometric accuracy assessment of QuickBird basic imagery using different operational approaches Type de document : Article/Communication Auteurs : M. Aguilar, Auteur ; F. Aguilar, Auteur ; F. Aguera, Auteur ; Jaime Sanchez, Auteur Année de publication : 2007 Article en page(s) : pp 1321 - 1332 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] analyse comparative
[Termes IGN] correction géométrique
[Termes IGN] données localisées 3D
[Termes IGN] erreur moyenne quadratique
[Termes IGN] image à très haute résolution
[Termes IGN] image Quickbird
[Termes IGN] modèle numérique de surface
[Termes IGN] modèle par fonctions rationnelles
[Termes IGN] modèle physique
[Termes IGN] orientation du capteur
[Termes IGN] orthoimage
[Termes IGN] point d'appui
[Termes IGN] précision géométrique (imagerie)Résumé : (Auteur) The new very high-resolution space satellite images, such as QuickBird and Ikonos, open new possibilities in cartographic applications. This work has as its main aim the assessment of a methodology to achieve the best possible geometric accuracy in orthorectified imagery products obtained from QuickBird basic imagery which will include an assessment of the methodology’s reliability. Root Mean Square Error (RMSE), mean error or bias, and maximum error in 79 independent check points are computed and utilized as accuracy indicators. The ancillary data were generated by high accuracy methods: (a) check and control points were measured with a differential global positioning system, and (b) a dense digital elevation model (DEM) with grid spacing of 2 m and RMSEz of about 0.31 m generated from a photogrammetric aerial flight at an approximate scale of 1:5000 that was used for image orthorectification. Two other DEMs with a grid spacing of 5 m (RMSEz = 1.75 m) and 20 m (RMSEz = 5.82 m) were also used. Four 3D geometric correction models were used to correct the satellite data: two terrain-independent rational function models refined by the user, a terrain-dependent model, and a rigorous physical model. The number and distribution of the ground control points (GCPs) used for the sensor orientation were studied as well, testing from 9 to 45 GCPs. The best results obtained about the geometric accuracy of the orthorectified images (two dimensional RMSE of about 0.74 m) were computed when the dense DEM was used with the 3D physical and terrain-dependent models. The use of more than 18 GCPs does not improve the results when those GCPs are extracted by stratified random sampling. Copyright ASPRS Numéro de notice : A2007-541 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.73.12.1321 En ligne : http://dx.doi.org/10.14358/PERS.73.12.1321 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28904
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 12 (December 2007) . - pp 1321 - 1332[article]Trop de satellites ? / T. Rousselin in SIG la lettre, n° 90 (octobre 2007)
[article]
Titre : Trop de satellites ? Type de document : Article/Communication Auteurs : T. Rousselin, Auteur Année de publication : 2007 Article en page(s) : pp 5 - 6 Langues : Français (fre) Descripteur : [Vedettes matières IGN] Technologies spatiales
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image Quickbird
[Termes IGN] Landsat
[Termes IGN] modèle numérique de terrain
[Termes IGN] Radarsat
[Termes IGN] SAR-LUPE
[Termes IGN] SPOT5
[Termes IGN] WorldviewRésumé : (Auteur) En octobre 2007, le cinquantenaire du premier bip-bip spatial est l'occasion de célébrations nostalgiques. Depuis le lancement de Spoutnik-1 le 4 octobre 1957, suivi de très près par la première image d'observation de la terre le 1er avril 1960, l'observation spatiale est devenue un des éléments clés de l'utilisation de l'espace, tant civil que militaire. Copyright SIG La Lettre Numéro de notice : A2007-408 Affiliation des auteurs : non IGN Thématique : IMAGERIE/POSITIONNEMENT Nature : Article DOI : sans Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28771
in SIG la lettre > n° 90 (octobre 2007) . - pp 5 - 6[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 286-07081 RAB Revue Centre de documentation En réserve L003 Disponible Automatic extraction of main road centrelines from high resolution satellite imagery using hierarchical grouping / Xiangyun Hu in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)
[article]
Titre : Automatic extraction of main road centrelines from high resolution satellite imagery using hierarchical grouping Type de document : Article/Communication Auteurs : Xiangyun Hu, Auteur ; V. Tao, Auteur Année de publication : 2007 Article en page(s) : pp 1049 - 1056 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie numérique
[Termes IGN] approche hiérarchique
[Termes IGN] axe médian
[Termes IGN] extraction du réseau routier
[Termes IGN] image à résolution métrique
[Termes IGN] image Ikonos
[Termes IGN] image Quickbird
[Termes IGN] zone urbaineRésumé : (Auteur) Automatic road centerline extraction from high-resolution satellite imagery has gained considerable interest recently due to the increasing availability of commercial high-resolution satellite images. In this paper, a hierarchical grouping strategy is proposed to automatically extract main road centerlines from high-resolution satellite imagery. Here hierarchical grouping means that, instead of grouping all segments at once, the selective segments are grouped gradually, and multiple clues are closely integrated into the procedure. By this means, the computational cost can be reduced significantly. Through the stepwise grouping, the detected fragmented line segments eventually form the long main road lines. The proposed method has been tested and validated using several Ikonos and QuickBird images both in open areas and build-up urban environments. The results demonstrate its robustness and viability on extracting salient main road centerlines. Copyright ASPRS Numéro de notice : A2007-413 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : sans En ligne : https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=4c44af1158a711e37 [...] Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28776
in Photogrammetric Engineering & Remote Sensing, PERS > vol 73 n° 9 (September 2007) . - pp 1049 - 1056[article]Estimation of vegetation parameter for modelling soil erosion using linear spectral mixture analysis of Landsat ETM data / A.M. DE Asis in ISPRS Journal of photogrammetry and remote sensing, vol 62 n° 4 (September 2007)
[article]
Titre : Estimation of vegetation parameter for modelling soil erosion using linear spectral mixture analysis of Landsat ETM data Type de document : Article/Communication Auteurs : A.M. DE Asis, Auteur ; K. Omasa, Auteur Année de publication : 2007 Article en page(s) : pp 309 - 324 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique
[Termes IGN] analyse linéaire des mélanges spectraux
[Termes IGN] classification pixellaire
[Termes IGN] couvert végétal
[Termes IGN] données de terrain
[Termes IGN] érosion
[Termes IGN] estimation statistique
[Termes IGN] image Landsat-ETM+
[Termes IGN] image Quickbird
[Termes IGN] modèle physique
[Termes IGN] modèle RUSLERésumé : (Auteur) Soil conservation planning often requires estimates of soil erosion at a catchment or regional scale. Predictive models such as Universal Soil Loss Equation (USLE) and its subsequent Revised Universal Soil Loss Equation (RUSLE) are useful tools to generate the quantitative estimates necessary for designing sound conservation measures. However, large-scale soil erosion model-factor parameterization and quantification is difficult due to the costs, labor and time involved. Among the soil erosion parameters, the vegetative cover or C factor has been one of the most difficult to estimate over broad geographic areas. The C factor represents the effects of vegetation canopy and ground covers in reducing soil loss. Traditional methods for the extraction of vegetation information from remote sensing data such as classification techniques and vegetation indices were found to be inaccurate. Thus, this study presents a new approach based on Spectral Mixture Analysis (SMA) of Landsat ETM data to map the C factor for use in the modeling of soil erosion. A desirable feature of SMA is that it estimates the fractional abundance of ground cover and bare soils simultaneously, which is appropriate for soil erosion analysis. Hence, we estimated the C factor by utilizing the results of SMA on a pixel-by-pixel basis. We specifically used a linear SMA (LSMA) model and performed a minimum noise fraction (MNF) transformation and pixel purity index (PPI) on Landsat ETM image to derive the proportion of ground cover (vegetation and non-photosynthetic materials) and bare soil within a pixel. The end-members were selected based on the purest pixels found using PPI with reference to very high-resolution QuickBird image and actual field data. Results showed that the C factor value estimated using LSMA correlated strongly with the values measured in the field. The correlation coefficient (r) obtained was 0.94. A comparative analysis between NDVI- and LSMA-derived C factors also proved that the latter produced a more detailed spatial variability, as well as generated more accurate erosion estimates when used as input to RUSLE model. The QuickBird image coupled with field data was used in the validation of results. Copyright ISPRS Numéro de notice : A2007-430 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2007.05.013 En ligne : https://doi.org/10.1016/j.isprsjprs.2007.05.013 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28793
in ISPRS Journal of photogrammetry and remote sensing > vol 62 n° 4 (September 2007) . - pp 309 - 324[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 081-07061 SL Revue Centre de documentation Revues en salle Disponible Integration of Ikonos and Quickbird imagery for geopositioning accuracy analysis / R. Li in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 9 (September 2007)PermalinkLa morphologie mathématique binaire pour l'extraction automatique des bâtiments dans les images THRS / David Sheeren in Revue internationale de géomatique, vol 17 n° 3-4 (septembre 2007 – février 2008)PermalinkInundation distances and run-up measurements from ASTER, QuickBird and SRTM data, Aceh coast, Indonesia / B.G. Mcadoo in International Journal of Remote Sensing IJRS, vol 28 n° 13-14 (July 2007)PermalinkAutomated registration of high-resolution satellite images / C. Zhang in Photogrammetric record, vol 22 n° 117 (March - May 2007)PermalinkOcclusion-compensated true orthorectification for high-resolution satellite images / L.C. Chen in Photogrammetric record, vol 22 n° 117 (March - May 2007)PermalinkTerrestrial and submerged aquatic vegetation mapping in Fire Island national seashore using high spatial resolution remote sensing data / Y. Wang in Marine geodesy, vol 30 n° 1-2 (March - June 2007)PermalinkFFT-enhanced IHS transform method for fusing high-resolution satellite images / Y. Ling in ISPRS Journal of photogrammetry and remote sensing, vol 61 n° 6 (February 2007)PermalinkDétection des zones débroussaillées dans les images simulées ORFEO / Marie-Cécile Lyx (2007)PermalinkMapping urban land cover using Quickbird NDVI and GIS spatial modeling for runoff coefficient determination / P. Thanapura in Photogrammetric Engineering & Remote Sensing, PERS, vol 73 n° 1 (January 2007)PermalinkSeparating the weeds from the trees / M. Norris-Rogers in GIM international, vol 21 n° 1 (January 2007)Permalink