Matches in SemOpenAlex for { <https://semopenalex.org/work/W2026932904> ?p ?o ?g. }
- W2026932904 endingPage "163" @default.
- W2026932904 startingPage "152" @default.
- W2026932904 abstract "This work synthesizes results from the application of land cover classification techniques and probability sampling of satellite imagery for estimating forest extent and deforestation in Lake Maracaibo Basin (Venezuela and Colombia). A forest map was produced using a semi-automated supervised classification routine on MODIS 8-day 500-m imagery acquired in January 2010. Results show that forests occupy 29,710 km2 which represents 38% of the basin's total terrestrial landmass. From this extent, 61% belongs to Venezuela and 39% falls within the Colombian region. Findings indicate a drastic decrease in forest cover as a result of anthropogenic agricultural and urban expansion, especially when compared to its potential extent within the ‘Maracaibo dry forests’ and the ‘Venezuelan Andean montane forests’ ecoregions. Using time series of Landsat imagery, deforestation rates for the 1985–2010 time period were calculated. The analysis was performed on 24 samples blocks of 10 × 10 km2 randomly allocated within previously defined change probability strata. The general spatial distribution of deforestation rates was predicted by a simple regression model between sample blocks and prior change probabilities at the basin scale. Our results indicate that deforestation was low (<0.5%/y) in 85% of the basin, with highly focalized deforestation fronts (intermediate-to-high rates, <2.5%/y) in three regions: a) the Motatan river sub-basin in the Eastern Cordillera, b) the lower slopes of the Catatumbo river sub-basin and c) the submontane regions of the Apon and Santa Ana river sub-basins. The results of this paper lead the way for understanding current patterns in socioeconomic drivers of forest clearing in Lake Maracaibo Basin. The study also demonstrates the feasibility of using alternatives methods to the time-consuming and financially unsustainable methods traditionally used at national and sub-national scale in Venezuela and other Latin American countries." @default.
- W2026932904 created "2016-06-24" @default.
- W2026932904 creator A5013608683 @default.
- W2026932904 creator A5020009504 @default.
- W2026932904 creator A5025580287 @default.
- W2026932904 creator A5030230822 @default.
- W2026932904 creator A5066573064 @default.
- W2026932904 date "2012-11-01" @default.
- W2026932904 modified "2023-10-10" @default.
- W2026932904 title "Forest cover and deforestation patterns in the Northern Andes (Lake Maracaibo Basin): A synoptic assessment using MODIS and Landsat imagery" @default.
- W2026932904 cites W1538788024 @default.
- W2026932904 cites W1964996721 @default.
- W2026932904 cites W1979629139 @default.
- W2026932904 cites W1980631181 @default.
- W2026932904 cites W1996126620 @default.
- W2026932904 cites W2001076865 @default.
- W2026932904 cites W2029058476 @default.
- W2026932904 cites W2034813116 @default.
- W2026932904 cites W2038818831 @default.
- W2026932904 cites W2041632050 @default.
- W2026932904 cites W2041747114 @default.
- W2026932904 cites W2050531026 @default.
- W2026932904 cites W2056254247 @default.
- W2026932904 cites W2085424485 @default.
- W2026932904 cites W2095472131 @default.
- W2026932904 cites W2095900603 @default.
- W2026932904 cites W2098962449 @default.
- W2026932904 cites W2109019677 @default.
- W2026932904 cites W2114828048 @default.
- W2026932904 cites W2114892242 @default.
- W2026932904 cites W2119513445 @default.
- W2026932904 cites W2121203379 @default.
- W2026932904 cites W2125758830 @default.
- W2026932904 cites W2136025784 @default.
- W2026932904 cites W2137155271 @default.
- W2026932904 cites W2137672989 @default.
- W2026932904 cites W2138973222 @default.
- W2026932904 cites W2147358332 @default.
- W2026932904 cites W2152795294 @default.
- W2026932904 cites W2272473773 @default.
- W2026932904 doi "https://doi.org/10.1016/j.apgeog.2012.06.015" @default.
- W2026932904 hasPublicationYear "2012" @default.
- W2026932904 type Work @default.
- W2026932904 sameAs 2026932904 @default.
- W2026932904 citedByCount "45" @default.
- W2026932904 countsByYear W20269329042013 @default.
- W2026932904 countsByYear W20269329042014 @default.
- W2026932904 countsByYear W20269329042015 @default.
- W2026932904 countsByYear W20269329042016 @default.
- W2026932904 countsByYear W20269329042017 @default.
- W2026932904 countsByYear W20269329042018 @default.
- W2026932904 countsByYear W20269329042019 @default.
- W2026932904 countsByYear W20269329042020 @default.
- W2026932904 countsByYear W20269329042021 @default.
- W2026932904 countsByYear W20269329042022 @default.
- W2026932904 countsByYear W20269329042023 @default.
- W2026932904 crossrefType "journal-article" @default.
- W2026932904 hasAuthorship W2026932904A5013608683 @default.
- W2026932904 hasAuthorship W2026932904A5020009504 @default.
- W2026932904 hasAuthorship W2026932904A5025580287 @default.
- W2026932904 hasAuthorship W2026932904A5030230822 @default.
- W2026932904 hasAuthorship W2026932904A5066573064 @default.
- W2026932904 hasConcept C100970517 @default.
- W2026932904 hasConcept C109007969 @default.
- W2026932904 hasConcept C114793014 @default.
- W2026932904 hasConcept C127313418 @default.
- W2026932904 hasConcept C18903297 @default.
- W2026932904 hasConcept C199360897 @default.
- W2026932904 hasConcept C205649164 @default.
- W2026932904 hasConcept C2777399953 @default.
- W2026932904 hasConcept C2778102629 @default.
- W2026932904 hasConcept C2780648208 @default.
- W2026932904 hasConcept C2986088632 @default.
- W2026932904 hasConcept C41008148 @default.
- W2026932904 hasConcept C4792198 @default.
- W2026932904 hasConcept C62649853 @default.
- W2026932904 hasConcept C86803240 @default.
- W2026932904 hasConceptScore W2026932904C100970517 @default.
- W2026932904 hasConceptScore W2026932904C109007969 @default.
- W2026932904 hasConceptScore W2026932904C114793014 @default.
- W2026932904 hasConceptScore W2026932904C127313418 @default.
- W2026932904 hasConceptScore W2026932904C18903297 @default.
- W2026932904 hasConceptScore W2026932904C199360897 @default.
- W2026932904 hasConceptScore W2026932904C205649164 @default.
- W2026932904 hasConceptScore W2026932904C2777399953 @default.
- W2026932904 hasConceptScore W2026932904C2778102629 @default.
- W2026932904 hasConceptScore W2026932904C2780648208 @default.
- W2026932904 hasConceptScore W2026932904C2986088632 @default.
- W2026932904 hasConceptScore W2026932904C41008148 @default.
- W2026932904 hasConceptScore W2026932904C4792198 @default.
- W2026932904 hasConceptScore W2026932904C62649853 @default.
- W2026932904 hasConceptScore W2026932904C86803240 @default.
- W2026932904 hasIssue "1-2" @default.
- W2026932904 hasLocation W20269329041 @default.
- W2026932904 hasOpenAccess W2026932904 @default.
- W2026932904 hasPrimaryLocation W20269329041 @default.
- W2026932904 hasRelatedWork W117302946 @default.
- W2026932904 hasRelatedWork W1554149449 @default.