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Changing regimes: forested land cover dynamics in Central Siberia 1974-2001 / K.M. Bergen in Photogrammetric Engineering & Remote Sensing, PERS, vol 74 n° 6 (June 2008)  

Public [article]  inPhotogrammetric Engineering & Remote Sensing, PERS > vol 74 n° 6 (June 2008) . - pp 787 - 798 Titre : Changing regimes: forested land cover dynamics in Central Siberia 1974-2001 Type de document : Article/Communication Auteurs : K.M. Bergen, Auteur ; T. Zhao, Auteur ; V. Kharuk, Auteur ; et al., Auteur Année de publication : 2008 Article en page(s) : pp 787 - 798 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] agriculture [Termes IGN] analyse diachronique [Termes IGN] détection de changement [Termes IGN] feuillu [Termes IGN] forêt [Termes IGN] image Landsat [Termes IGN] occupation du sol [Termes IGN] Pinophyta [Termes IGN] risque naturel [Termes IGN] Russie [Termes IGN] Sibérie [Termes IGN] urbanisation Résumé : (Auteur) The twentieth century saw fundamental shifts in northern Eurasian political and land-management paradigms, in Russia culminating in the political transition of 1991. We used the 1972 to 2001 Landsat archive bracketing this transition to observe change trends in southern central Siberian Russia in primarily forested study sites. Landsat resolved conifer, mixed, deciduous and young forest; cuts, burns, and insect disturbance; and wetland, agriculture, bare, urban, and water land covers. Over 70 percent of forest area in the three study sites was likely disturbed prior to 1974. Conifer forest decreased over the 1974 to 2001 study period, with the greatest decrease 1974 to 1990. Logging activity (primarily in conifers) declined more during the 1991 to 2001 post-Soviet period. The area of Young forest increased more during the 1974 to 1990 time period. Deciduous forest increased over both time periods. Agriculture declined over both time periods contributing to forest regrowth in this region. Copyright ASPRS Numéro de notice : A2008-202 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article DOI : 10.14358/PERS.74.6.787 En ligne : https://doi.org/10.14358/PERS.74.6.787 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29197 [article]

Change detection with heterogeneous data using ecoregional stratification, statistical summaries and a land allocation algorithm / K.M. Bergen in Remote sensing of environment, vol 97 n° 4 (15/09/2005)  

Public [article]  inRemote sensing of environment > vol 97 n° 4 (15/09/2005) . - pp 434 - 446 Titre : Change detection with heterogeneous data using ecoregional stratification, statistical summaries and a land allocation algorithm Type de document : Article/Communication Auteurs : K.M. Bergen, Auteur ; Daniel G. Brown, Auteur ; et al., Auteur Année de publication : 2005 Article en page(s) : pp 434 - 446 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse comparative [Termes IGN] analyse diachronique [Termes IGN] carte d'occupation du sol [Termes IGN] classification non dirigée [Termes IGN] détection de changement [Termes IGN] données hétérogènes [Termes IGN] Etats-Unis [Termes IGN] forêt [Termes IGN] image NOAA-AVHRR [Termes IGN] occupation du sol [Termes IGN] photographie aérienne Résumé : (Auteur) A ca.1980 national-scale land-cover classification based on aerial photo interpretation was combined with 2000 AVHRR satellite imagery to derive land cover and land-cover change information for forest, urban, and agriculture categories over a seven-state region in the U.S.. To derive useful land-cover change data using a heterogeneous dataset and to validate our results, we a) stratified the classification using predefined ecoregions, b) developed statistical relationships by ecoregion between land-cover proportions derived from the 1980 national-level classification and aggregate statistical data that were available in times series for all regions in the U.S., c) classified multi-temporal AVHRR data using a process that constrained the results to the estimated proportions of land covers in ecoregions within a multi-objective land allocation (MOLA) procedure, d) interpreted land cover from a sample of a aerial photographs from 2000, following the protocols used to land-cover change results for the MOLA method with an unsupervised classification alone. Overall accuracies for the 2000 MOLA and unsupervised land-cover classifications were 85% and 82% respectively. On average, the 1980-2000 land-cover changes RMSEs were one order of magnitude lower using the MOLA methods compared with those based on the unsupervised data. Numéro de notice : A2005-394 Affiliation des auteurs : non IGN Thématique : FORET/IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.rse.2005.03.016 En ligne : https://doi.org/10.1016/j.rse.2005.03.016 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27530 [article]