000046832 001__ 46832
000046832 005__ 20170705090732.0
000046832 0247_ $$2doi$$a10.5194/isprsarchives-XL-7-W3-329-2015
000046832 0248_ $$2sideral$$a90814
000046832 037__ $$aART-2015-90814
000046832 041__ $$aeng
000046832 100__ $$0(orcid)0000-0001-6658-7017$$aBorini Alves, D.
000046832 245__ $$aLand-use and land-cover dynamics monitored by NDVI multitemporal analysis in a selected southern amazonian area (Brazil) for the last three decades
000046832 260__ $$c2015
000046832 5060_ $$aAccess copy available to the general public$$fUnrestricted
000046832 5203_ $$aThis study aims to analyse the dynamics of land-use and land-cover (LULC) in a selected southern Amazonian area (Brazil),monitoring and distinguishing trajectories in NDVI (Normalized Difference Vegetation Index) variations for the last three decades. The area, with a total of 17336 km², has been subject to significant LULC changes associated with deforestation progress and use of fire. Considering available Landsat time series, it was selected an image per year from 1984 to 2013 (path/row -231/66), at a particular period of year, atmospherically corrected using LEDAPS tools. NDVIs values were generated for each selected image. Furthermore, the images of 1984 and 2010 still underwent a classification of LULC differentiate five categories: water, forest, secondary/degraded forest, savannah/pasture and crop/bare soil. The trajectories in NDVI variation values were analysed by R software, considering intersections of classified categories. The pixels identified as forests on the images of 1984 and 2010 displayed stable trajectories of NDVI values, with average value 0.824 and coefficient of variation 3.9%. While the pixels of savannah/pasture, which was periodically affected by fire, had an average NDVI value 0.585 and coefficient of variation 15,1%. The main regressive trajectory was the transition “forest to crop/bare soil", identifying 1999 as the starting point in the drop in NDVI values, associated with an increase of the deforested areas. Therefore, the results show distinct trajectories associated with NDVIs and LULC changes that assist in better understanding the dynamics of ecological processes and the human impacts operating in the area.
000046832 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000046832 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000046832 700__ $$0(orcid)0000-0003-4831-4060$$aPérez-Cabello, F.$$uUniversidad de Zaragoza
000046832 700__ $$0(orcid)0000-0002-0477-0796$$aRodrigues Mimbrero, M.$$uUniversidad de Zaragoza
000046832 7102_ $$13006$$2010$$aUniversidad de Zaragoza$$bDepartamento de Geografía y Ordenación del Territorio$$cAnálisis Geográfico Regional
000046832 773__ $$g40, 7 (2015), 329-335$$pInt. arch. photogramm. remote sens. spat. inf. sci.$$tInternational archives of the photogrammetry, remote sensing and spatial information sciences$$x1682-1750
000046832 8564_ $$s1101653$$uhttps://zaguan.unizar.es/record/46832/files/texto_completo.pdf$$yVersión publicada
000046832 8564_ $$s120141$$uhttps://zaguan.unizar.es/record/46832/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000046832 909CO $$ooai:zaguan.unizar.es:46832$$particulos$$pdriver
000046832 951__ $$a2017-07-05-09:04:40
000046832 980__ $$aARTICLE