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A Landsat data tiling and compositing approach optimized for change detection in the conterminous United States / Kurtis J. Nelson in Photogrammetric Engineering & Remote Sensing, PERS, vol 81 n° 7 (July 2015)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 81 n° 7 (July 2015) . - pp 573 - 586 Titre : A Landsat data tiling and compositing approach optimized for change detection in the conterminous United States Type de document : Article/Communication Auteurs : Kurtis J. Nelson, Auteur ; Daniel Steinwand, Auteur Année de publication : 2015 Article en page(s) : pp 573 - 586 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] dalle [Termes IGN] détection de changement [Termes IGN] Etats-Unis [Termes IGN] image Landsat [Termes IGN] incendie de forêt [Termes IGN] optimisation spatiale [Termes IGN] traitement d'image [Termes IGN] végétation Résumé : (auteur) Annual disturbance maps are produced by the LANDFIRE program across the conterminous United States (CONUS). Existing LANDFIRE disturbance data from 1999 to 2010 are available and current efforts will produce disturbance data through 2012. A tiling and compositing approach was developed to produce bi-annual images optimized for change detection. A tiled grid of 10,000 × 10,000 30 m pixels was defined for CONUS and adjusted to consolidate smaller tiles along national borders, resulting in 98 non-overlapping tiles. Data from Landsat-5,-7, and -8 were reprojected to the tile extents, masked to remove clouds, shadows, water, and snow/ice, then composited using a cosine similarity approach. The resultant images were used in a change detection algorithm to determine areas of vegetation change. This approach enabled more efficient processing compared to using single Landsat scenes, by taking advantage of overlap between adjacent paths, and allowed an automated system to be developed for the entire process. Numéro de notice : A2015-965 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.81.7.573 En ligne : https://doi.org/10.14358/PERS.81.7.573 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=80023 [article]