@InProceedings{ShimabukuroAmarAherPiet:1997:WiSwMo,
author = "Shimabukuro, Yosio Edemir and Amaral, Silvan and Ahern, Frank J.
and Pietsch, Ron W.",
title = "Clasification and monitoring the Tapajos National Forest Region
using SAR (RADARSAT - Standard Mode and SAREX - Wide Swath
Mode)and Landsat Thematic Mapper Data",
year = "1997",
pages = "103--115",
organization = "Geomatics in the Era od RADARSAT International Conference.",
keywords = "VEGETACAO, FLORESTA NACIONAL DE TAPAJOS (PA), FLORESTAS,
MONITORAMENTO, MAPEADOR TEMATICO (LANDSAT), IMAGENS LANDSAT,
RADARSAT, IMAGENS DE RADAR, SAR, RADAR DE ABERTURA SINTETICA.",
abstract = "The objective of this research is to evaluate the potential of
RADARSAT standard mode images for forest type mapping and land
cover change detection. Other sensors such as Landsat TM and
Airborne SAR images were used for comparitive analysis. An area
including the Tapajos National Forest, Para State, Brazil and its
immediate surroundings was chosen for this investigation. The
surrounding area is comprised of numerous small plots occupied by
agriculture activities including abandoned areas with secondary
forest. The national forest is mainly undisturbed primary forest.
A shade fraction image was derived from a 1988 Landsat TM image to
enhance the deforested areas in this region, i.e., this image
shows the contrast between forest (medium amount of shade -
bright)and non-forest (low amount of shade - dark)areas and is
used as ancillary information to analyze the SAR data. The sensors
that were used show a good association with an recent clear cut
areas, especially the S7D image which has a high incidence angle.
The difference images derived from multitemporal data showed the
changes that occurred between 1988 and 1996. Several other image
enhancement techniques were applied to the RADARSAT data for
mapping forest types. The preliminary results of image
segmentation of RADARSAT data is also encouraging and is
pursued.",
conference-location = "Ottawa, CA",
conference-year = "May 25-30 1997",
label = "8330",
organisation = "Canadian International Development Agency",
targetfile = "INPE 7017.pdf",
urlaccessdate = "30 abr. 2024"
}