@InProceedings{SantAnnaYaHeKuDuFrSa:1995:SeFoAg,
author = "Sant'Anna, Sidnei Joao Siqueira and Yanasse, Corina da Costa
Freitas and Hernandez Filho, Pedro and Kuplich, Tatiana Moura and
Dutra, Luciano Vieira and Frery, Alejandro Cesar Orgambide and
Santos, Patricia Pessoa dos",
title = "Secondary forest age mapping in Amazonia using multi-temporal
Landsat/TM imagery",
booktitle = "Proceedings...",
year = "1995",
pages = "323--325",
organization = "International Geoscience and Remote Sensing Symposium, (IGARSS).",
publisher = "IEEE",
address = "Piscataway",
keywords = "Data acquisition, Data structures, Forestry, Geographic
information systems, Geographical regions, Image segmentation,
Satellites, Land cover, Normalized difference vegetation index,
Thematic images.",
abstract = "Satelite imagery can be a powerful tool for identification of
deforested areas, often providing reliable classification of the
earth surface. The aim of this paper is to identify and to
characterize the age of tropical secondary forests in a test site
near Tapajos Nstional Forest, located on the south of Santarem
city, Para State, Brazil, using a time series of Landsat/TM
images. The Landsat/TM images from 1986 to 1992 were
co-registered, segmented and classified into several classes of
land cover. These thematic images were superposed in a GIS and,
using logical (Boolean)operations, a stages of regeneration map
was generated. The stages of regeneration classes were defined as
areas with recent activies, areas with different stages of
secondary vegetation (varying from one to six years of
regeneration), old secondary forest (more than six years old), and
primary forest. It was observed that there is a functional
relationship between the stages of the classified secondary
vegetation and the normalized difference vegetation index
(NDVI)using the bands 3 and 4 of the Landsat/TM images. It was
concluded that the use of time series of optical images can be a
valuable tool for determining the evolution of secondary tropical
forests, providing that image acquision is possible at least once
a year.",
conference-location = "Firenze, IT",
conference-year = "10-14 July 1995",
label = "7022",
language = "en",
organisation = "IEEE; URSI",
targetfile = "1995_santanna.pdf",
urlaccessdate = "25 abr. 2024"
}