Estimation of land cover change in Brazilian Amazon using Landsat TM satellite images

Author

Cornelio, David Lopez

Author_Institution

Fac. of Life & Environ. Sci., Shimane Univ., Matsue, Japan

Volume

6

fYear

2001

fDate

2001

Firstpage

2631

Abstract

A representative area of Manaus (Brazil) was evaluated using two geo-referenced Landsat TM images from August 1990 and May 1992 with TNTmips: four classes of interest were identified and their spatial distribution evaluated through supervised classification method in three samples using two band combinations and cloud masking, the resulting maps were filtered for enhancement and noise reduction. The results showed the dispersion of located areas of forest recovery at a rate of 0.3% and of forest degradation at a rate of 0.65% annually, confirming the cited complexity of the problem concerning its causes, tendencies and variability on time and space

Keywords

forestry; image classification; image enhancement; remote sensing; vegetation mapping; AD 1990 08; AD 1992 05; August 1990; Brazil; Brazilian Amazon; Landsat TM satellite images; Manaus; May 1992; enhancement; forest degradation; forest recovery; land cover change; spatial distribution; supervised classification method; wise reduction; Remote sensing; Satellites;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International

Conference_Location

Sydney, NSW

Print_ISBN

0-7803-7031-7

Type

conf

DOI

10.1109/IGARSS.2001.978112

Filename

978112