Accessibility of lowland rain forests of Western Amazonia via rivers: an analysis using Landsat TM mosaic and GIS

Tuuli Toivonen; Sanna Maki

doi:10.1117/12.453667

23 January 2002 Accessibility of lowland rain forests of Western Amazonia via rivers: an analysis using Landsat TM mosaic and GIS

Tuuli Toivonen, Sanna Maki

Author Affiliations +

Proceedings Volume 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology; (2002) https://doi.org/10.1117/12.453667
Event: International Symposium on Remote Sensing, 2001, Toulouse, France

Abstract

In the present paper a mosaic of 130 Landsat TM satellite images is used to identify navigable rives in the Western Amazon region and to analyse the accessibility pattern of the area via the river network. The environmental heterogeneity of the Western Amazonia is enormous, and thus the potential for human use varies significantly. In sustainable land use planning accessibility of potential resources is of paramount importance. Most studies and zoning proposals neglect the issue of accessibility or ignore the river network. Our study concentrated on the accessibility in the Western Amazonian region shared by several countries. A Landsat TM mosaic was created over this area and waters were separated by rationing of TM bands 5 and TM, classification and manual corrections. With the 100-meter resolution used, navigable rivers could still be delineated. Grid-based model on the on the accessibility of peripheral areas around regional, provincial and local centres was created and the accessibility pattern of the entire region and within each country was analysed. Nearly entire Peruvian Amazon as well as the vicinities of the main course of the Amazon River were found the most accessible regions, whereas large parts of Colombian and Brazilian Amazon were poorly accessible.

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Tuuli Toivonen and Sanna Maki "Accessibility of lowland rain forests of Western Amazonia via rivers: an analysis using Landsat TM mosaic and GIS", Proc. SPIE 4545, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology, (23 January 2002); https://doi.org/10.1117/12.453667

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