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Land use and land cover change detection using satellite remote sensing techniques in the mountainous Three Gorges Area, China / Z. Chen in International Journal of Remote Sensing IJRS, vol 31 n° 6 (March 2010)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 31 n° 6 (March 2010) . - pp 1519 - 1542 Titre : Land use and land cover change detection using satellite remote sensing techniques in the mountainous Three Gorges Area, China Type de document : Article/Communication Auteurs : Z. Chen, Auteur ; Jing Wang, Auteur Année de publication : 2010 Article en page(s) : pp 1519 - 1542 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] analyse diachronique [Termes IGN] détection de changement [Termes IGN] image multitemporelle [Termes IGN] image optique [Termes IGN] image satellite [Termes IGN] impact sur l'environnement [Termes IGN] occupation du sol [Termes IGN] traitement d'image [Termes IGN] Trois Gorges, barrage des [Termes IGN] utilisation du sol Résumé : (Auteur) The Three Gorges Area (TGA), along the Yangtze River, China has been experiencing drastic land use and land cover (LU/LC) changes since the commencement of the construction of the Three Gorges Dam in 1994. These changes may have environmental impacts. However, information about the changes is limited and difficult to obtain. In this paper, optical satellite imagery is used to detect LU/LC changes during the study period 1987-2006 for the complicated, high-relief environment. A case study was conducted in Zigui County of Hubei Province within the TGA. A site-specific procedure using a decision rule-based classification method and a post classification change detection technique is developed to combine spectral and spatial knowledge in the classification of multi-temporal images. Using the decision rule-based classification method, overall accuracies of LU/LC maps of seven classes between 73.4% and 89.5% were obtained, increased by 4-5% over that using the traditional method. The results show that the main trend in LU/LC change in the study area throughout the monitoring period was a steady reduction in natural vegetation areas. About 32% of the total area of natural vegetation, including forest, shrub and grass, was lost to built up areas, crop fields and orchards. Numéro de notice : A2010-254 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160903475381 En ligne : https://doi.org/10.1080/01431160903475381 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30448 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-2010041	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt

Sampling approaches for one-pass land-use/land-cover change mapping / Zhi Huang in International Journal of Remote Sensing IJRS, vol 31 n° 6 (March 2010)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 31 n° 6 (March 2010) . - pp 1543 - 1554 Titre : Sampling approaches for one-pass land-use/land-cover change mapping Type de document : Article/Communication Auteurs : Zhi Huang, Auteur ; Xiuping Jia, Auteur ; Linlin Ge, Auteur Année de publication : 2010 Article en page(s) : pp 1543 - 1554 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] carte d'occupation du sol [Termes IGN] détection de changement [Termes IGN] données multitemporelles [Termes IGN] échantillonnage d'image [Termes IGN] occupation du sol [Termes IGN] superposition d'images [Termes IGN] traitement d'image [Termes IGN] utilisation du sol Résumé : (Auteur) In land-use/land-cover change (LULCC) mapping, training fields for changed classes are often difficult to identify. In this study, a new sampling strategy is proposed for mapping LULCCs, in which change and no-change samples are obtained directly from overlaid bi-temporal images with a small shift or rotation. In this way, the artificial changes created maintain a certain degree of geographic information. This method is compared with a simulated sampling approach in which training samples of each land-use/land-cover type are selected separately from individual images and then cross-combined to form the 'from-to' classes. The case study demonstrates that both sampling strategies ease the difficulties in performing one-pass classification for LULCC detection and yield more accurate LULCC maps than that of the traditional two-step post-classification comparison method. Between the two sampling strategies, the proposed one provides higher testing accuracy than the simulated sampling approach, while the latter is easier to implement. Numéro de notice : A2010-255 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160903475399 En ligne : https://doi.org/10.1080/01431160903475399 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=30449 [article]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
080-2010041	RAB	Revue	Centre de documentation	En réserve L003	Exclu du prêt