@Article{KuxAherPiet:1995:EvRaRe,
author = "Kux, Hermann Johann Heinrich and Ahern, Frank J. and Pietsch, R.
W.",
affiliation = "{} and Canada Centre for Remote Sensing, 588 Booth St., Ottawa,
ON, KIA OY7, Canada and Dendron Resource Surveys Ltd., 880 Lady
Ellen Place, Ottawa, ON, KIZ 5L9, Canada",
title = "Evaluation of radar remote sensing for natural resource management
on the tropical rainforests of Acre State, Brazil",
journal = "Canadian Journal of Remote Sensing",
year = "1995",
volume = "21",
number = "4",
pages = "430--440",
month = "Dec.",
keywords = "Data reduction, Environmental engineering, Forestry, Image
analysis, Natural resources exploration, Project management, Radar
imaging, Synthetic aperture radar, Tropics, Brazil, Deforestation,
Natural resource management, Radar remote sensing, Tropical
rainforests.",
abstract = "In the framework of a Canada/Brazil Cooperation Project, an
airborne SAR-580 campaign to acquire C-band radar data was
undertaken during April 1992 in Brazilian Amazonia. The overall
objective was to evaluate airborne and spaceborne C-band SAR in
tropical forest environments. Results of these investigations will
be used to increase the ability of professional and technical
staff responsible for tropical forest management in Brazil to use
radar data. This paper presents results of the SAR data evaluation
in Acre, a state in Brazilian Amazonia. The use of geometrically
and radiometrically corrected SAR images is described and related
to the detection of deforestation practices for pasture and small
settlements as well as other manmade features. When applicable,
examples of different relief features (dissection by drainage,
erosion, topography, for example)depicted from SAR images and
their relationships with vegetation cover, land use, and land use
planning are shown. Based on the interpretation of airborne wide
swath images and simulated RADARSAT standard and fine mode images,
it appears that airborne and spaceborne SAR data have an important
monitoring potential for this region. From the data, information
on tropical deforestation, drainage networks, soils, and
vegetation may be obtained. With such information, development may
be managed to avoid many of the severe environmental problems that
have previously occurred in this region.",
doi = "10.1080/07038992.1995.10855166",
url = "http://dx.doi.org/10.1080/07038992.1995.10855166",
issn = "1712-7971",
label = "7764",
language = "en",
targetfile = "INPE 6450.pdf",
urlaccessdate = "23 maio 2024"
}