Cited by 92Remote-Sensing Image ClassificationRemote Sensing in AgricultureRemote Sensing and Land Use

Assessment of deforestation in the Lower Amazon floodplain using historical Landsat MSS/TM imagery

Renó, Vivian F., Novo, Evlyn M.L.M., Suemitsu, Chieno, Rennó, Camilo D., Silva, Thiago S.F.·2011·Remote Sensing of Environment

Abstract

The floodplain forests bordering the Amazon River have outstanding ecological, economic, and social importance for the region. However, the original distribution of these forests is not well known, since they have suffered severe degradation since the 16th century. The previously published vegetation map of the Amazon River floodplain (Hess et al., 2003), based on data acquired in 1996, shows enormous difference in vegetation cover classes between the regions upstream and downstream of the city of Manaus. The upper floodplain is mostly covered by forests, while the lower floodplain is predominantly occupied by grasses and shrubs. This study assesses deforestation in the Lower Amazon floodplain over a ~30 year period by producing and comparing a historical vegetation map based on MSS/Landsat images acquired in the late 1970s with a recent vegetation map produced from TM/Landsat images obtained in 2008. The maps were generated through the following steps: 1) normalization and mosaicking of images for each decade; 2) application of a linear mixing model transformation to produce vegetation, soil and shade fraction-images; and 3) object-oriented image analysis and classification. For both maps, the following classes were mapped: floodplain forest, non-forest floodplain vegetation, bare soil and open water. The two maps were combined using object-level Boolean operations to identify time transitions among the mapped classes, resulting in a map of the land cover change occurred ove…

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Crossref · 10.1016/j.rse.2011.08.008

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Authors
Renó, V. F., Novo, E. M. L. M., Suemitsu, C., Rennó, C. D., & Silva, T. S. F.
Affiliations
  • Instituto Nacional de Pesquisas Espaciais (BR)
  • Universidade Federal do Pará (BR)
Corresponding author
Renó, Vivian F.
Venue
Remote Sensing of Environment
Publisher
Elsevier BV
Published
2011-12
Volume
115
Issue
12
Pages
3446-3456
ISSN
0034-4257 (ISSN-L)
OpenAlex
W2025286685
Cited by
92
References
0
Citations by year
2026: 3 · 2025: 7 · 2024: 4 · 2023: 5 · 2022: 11 · 2021: 7 · 2020: 8 · 2019: 8 · 2018: 8 · 2017: 4 · 2016: 8 · 2015: 8 · 2014: 4 · 2013: 6 · 2012: 1
FWCI
7.75
Type
journal article
Language
en
Open access
closed
Locations
  • Remote Sensing of Environment (publishedVersion)
  • Biblioteca Digital da Memória Científica do INPE (National Institute for Space Research) (submittedVersion)
Topics
  • Physical Sciences › Engineering › Media Technology › Remote-Sensing Image Classification
  • Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
  • Physical Sciences › Earth and Planetary Sciences › Atmospheric Science › Remote Sensing and Land Use
Keywords
deforestation, Lower Amazon, Landsat MSS, Landsat TM, linear spectral mixture model, object-oriented image classification, land cover change, vegetation cover, Manaus, map validation

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