Literature DB >> 31980935

Mapping LULC types in the Cerrado-Atlantic Forest ecotone region using a Landsat time series and object-based image approach: A case study of the Prata River Basin, Mato Grosso do Sul, Brazil.

Elias Rodrigues da Cunha1,2, Celso Augusto Guimarães Santos3, Richarde Marques da Silva1, Vitor Matheus Bacani4, Paulo Eduardo Teodoro5, Elói Panachuki6, Naelmo de Souza Oliveira6.   

Abstract

In the last 30 years, the growth of the agriculture and livestock industries in the Cerrado biome has caused severe changes in land use and land cover (LULC), and areas previously occupied by native vegetation are changing to agricultural monocultures (e.g., soybean or corn) and/or pastures. Thus, the objective of this study was to analyze the LULC changes for the years 1986, 1999, 2007, and 2016 based on Landsat time series and object-based image analysis (OBIA) for the Prata River Basin. Twelve LULC classes were mapped: riparian forest, cerrado, swampy grasslands, wetlands, semideciduous forest, pasture, agriculture, fallow agricultural land, barren land, eucalyptus, water bodies, and burnt area. The classifications presented results with an overall accuracy of more than 93% and a kappa coefficient of 0.92. In 2007, the pasture class had the highest increase in area (48.5%), with a total area of 118.32 km2 of Cerrado biome vegetation converted to pasture, and the classes banhado, riparian forest, swampy grasslands, and cerrado had the greatest reductions in area (41.58%, 29.67%, 25.44%, and 21.63%, respectively). More precisely, the wetlands class underwent the greatest decrease under the advancement of pasture in the studied period (- 36.2%). These changes are due to factors favorable to agropastoral practices, such as a flat relief and soil with good agricultural suitability. Graphical abstract.

Entities:  

Keywords:  Cerrado biome; Deforestation; Land use/land cover change; Object-based image analysis; Remote sensing

Mesh:

Year:  2020        PMID: 31980935     DOI: 10.1007/s10661-020-8093-9

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  6 in total

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Authors:  Colin E Hughes
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-17       Impact factor: 11.205

2.  Soil, land use time, and sustainable intensification of agriculture in the Brazilian Cerrado region.

Authors:  Kleber Trabaquini; Lênio Soares Galvão; Antonio Roberto Formaggio; Luiz Eduardo Oliveira E Cruz de Aragão
Journal:  Environ Monit Assess       Date:  2017-01-23       Impact factor: 2.513

3.  Object-based land-use/land-cover change detection using Landsat imagery: a case study of Ardabil, Namin, and Nir counties in northwest Iran.

Authors:  Farnoosh Aslami; Ardavan Ghorbani
Journal:  Environ Monit Assess       Date:  2018-06-03       Impact factor: 2.513

4.  Sustainable bioenergy production from marginal lands in the US Midwest.

Authors:  Ilya Gelfand; Ritvik Sahajpal; Xuesong Zhang; R César Izaurralde; Katherine L Gross; G Philip Robertson
Journal:  Nature       Date:  2013-01-16       Impact factor: 49.962

5.  Land use and climate change impacts on runoff and soil erosion at the hillslope scale in the Brazilian Cerrado.

Authors:  Jamil A A Anache; Dennis C Flanagan; Anurag Srivastava; Edson C Wendland
Journal:  Sci Total Environ       Date:  2017-12-13       Impact factor: 7.963

6.  Determination of tropical deforestation rates and related carbon losses from 1990 to 2010.

Authors:  Frédéric Achard; René Beuchle; Philippe Mayaux; Hans-Jürgen Stibig; Catherine Bodart; Andreas Brink; Silvia Carboni; Baudouin Desclée; François Donnay; Hugh D Eva; Andrea Lupi; Rastislav Raši; Roman Seliger; Dario Simonetti
Journal:  Glob Chang Biol       Date:  2014-05-30       Impact factor: 10.863

  6 in total

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