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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Reno, Vivian F. [1] ; Novo, Evlyn M. L. M. [1] ; Suemitsu, Chieno [2] ; Renno, Camilo D. [1] ; Silva, Thiago S. F. [1]
Total Authors: 5
Affiliation:
[1] INPE Inst Natl Pesquisas Espaciais OBT, BR-12201970 Sao Jose Dos Campos, SP - Brazil
[2] UFPA Univ Fed Para, BR-68040070 Santarem, PA - Brazil
Total Affiliations: 2
Document type: Journal article
Source: REMOTE SENSING OF ENVIRONMENT; v. 115, n. 12, p. 3446-3456, DEC 15 2011.
Web of Science Citations: 35
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 similar to 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 over similar to 30 years. Ground information collected at 168 ground points was used to build confusion matrices and calculate Kappa indices of agreement. A survey strategy combining field observations and interviews allowed the collection of information about both recent and historical land cover for validation purposes. Kappa values (0.77, 0.75 and 0.75) indicated the good quality of the maps, and the error estimates were used to adjust the estimated deforested area to a value of 3457 km(2) +/- 1062 km(2) (95% CI) of floodplain deforestation over the similar to 30 years. (C) 2011 Elsevier Inc. All rights reserved. (AU)

FAPESP's process: 08/07537-1 - Integration of multi-sensor, telemetric, census and ground data to assess the human impact on the aquatic systems of the Amazon/Solimões varzea
Grantee:Evlyn Márcia Leão de Moraes Novo
Support type: Regular Research Grants