SciELO - Scientific Electronic Library Online

 
vol.41 issue1Use of FOURIER analysis for studying micrometeorological variables of a northern Mato Grosso transition forestDesign and development of babaçu (Orbignya phalerata Mart.) harvest for small farms in areas of forests transition of the Amazon author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

Share


Acta Amazonica

Print version ISSN 0044-5967

Abstract

RENO, Vivian Fróes; NOVO, Evlyn Marcia Leão Moraes; ALMEIDA-FILHO, Raimundo  and  SUEMITSU, Chieno. Mapping ancient vegetation cover of the Amazon floodplain using historical MSS/Landsat images (1975-1981). Acta Amaz. [online]. 2011, vol.41, n.1, pp.47-56. ISSN 0044-5967.  http://dx.doi.org/10.1590/S0044-59672011000100006.

This study presents a vegetation map of the Amazon River floodplain between the towns of Parintins (AM) and Almeirim (PA), based on Landsat-MSS scenes from 1975 to 1981. Digital processing involved the transformation of multispectral images into fraction-images of vegetation, soil and dark water (shadow), followed by the application of segmentation and region-classification techniques. The resulting map was organized four classes of land cover types: floodplain forest, non-forest floodplain vegetation, bare soil, and open water. Map accuracy was estimated from two types of ground data 1) sample points describing ground cover classes not subjected to major changes, such as permanent water bodies, and identifying indicators of the 30 year old vegetation type landscape (72 points); 2) interviews with community early residents for memory recovery of information on the vegetation cover existing in the 1970 (44 interviews). Altogether, 116 information points was collected along the study area. These points were used to calculate the Kappa Index for agreement between the four field-verified classes and the automatic classification, with value (0.78) indicates the good quality of the floodplain vegetation cover map. The region had 8650 km2 coverage of floodplain forest at the time of image acquisition.

Keywords : remote sensing; automatic mapping; floodplain forest; Landsat-MSS.

        · abstract in Portuguese     · text in Portuguese     · Portuguese ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License