@Article{CarreirasShimPere:2002:FrImDe,
author = "Carreiras, J. M. B. and Shimabukuro, Yosio Edemir and Pereira,
Jose M. C. T.",
affiliation = "{Instituto Superior de Agronomia - Departamento de Engenharia
Flrorestal - Lisboa - Portugal} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and echnical University of Lisbon,
Instituto Superior de Agronomia, Lisbon, Portugal.",
title = "Fraction images derived from SPOT-4 VEGETATION data to assess
land-cover change over the State of Mato Grosso, Brazil",
journal = "International Journal of Remote Sensing",
year = "2002",
volume = "23",
number = "23",
pages = "4979--4983",
month = "Dec.",
keywords = "VEGETA{\C{C}}{\~A}O, Mato Grosso (Estado), uso da tera, imagem
fra{\c{c}}{\~a}o, land cover, Advanced Very High Resolution
Radiometer (AVHRR), sensor, SPOTS satellite, Fraction image.",
abstract = "Fraction images derived from remotely sensed data can be a good
candidate for the evaluation of land-cover change, considering
both regional and/or global scales (Adams et al. 1995). Among
other characteristics, the VEGETATION sensor onboard the Systeme
Pour L'Observation do lea Terre SPOTS) satellite (VEGETATION Users
Guide 1999) provides a better imagery acquisition geometry and
additional reflective bands (blue 0.43-0.47pm, red 0.61-0.68um,
NIR 0.78-0.89 pm, SWIR 1.58-1.75 pm), when compared with the
National Oceanic and Atmospheric Administration's (NOAA) Advanced
Very High Resolution Radiometer (AVHRR), which only has the red
band (0.58-0.68 pm) and the NOR band (0.72-1.10um) in the
reflective part of the electromagnetic spectrum. To illustrate
this, composite fraction images derived from VEGETATION
atmospherically corrected daily images (1.0 km x 1.0 km at nadir)
from August 2000 (25 images in the following days: 1-2, 4-7, 9-12,
15-16, and 19-31), using the monthly Normalized Difference
Vegetation Index (NDVI) maximum value criterion (Holben 1986) were
created and compared with the AVHRR composite from August 1993
(Shimabukuro and Rudorff 2000), over the State of Mato Grosso
(approximately 90000OkM2 ), Brazil. The spectral linear mixing
model (Shimabukuro and Smith 1991) was applied with three
endmembers (vegetation, soil, and shade figure 1) to produce the
three corresponding fraction images.",
copyholder = "SID/SCD",
issn = "0143-1161",
language = "en",
targetfile = "e-mail comut 4244.pdf",
urlaccessdate = "13 maio 2024"
}