@InProceedings{ShimabukuroAraiDuarDutr:2019:AsLaUs,
author = "Shimabukuro, Yosio Edemir and Arai, Egidio and Duarte, Valdete and
Dutra, Andeise Cerqueira",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Assessment of land use cover in Brazil, South America using
fraction images derived from Proba-V datasets",
booktitle = "Proceedings...",
year = "2019",
pages = "6401--6404",
organization = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "IEEE",
keywords = "Remote Sensing, Image Processing, Deforestation, Forest
Degradation, Burned Areas, Fraction Images, PROBA-V.",
abstract = "The objective of this paper is to present a method to assess the
extent of annual land use/land cover in Brazil, South America. The
proposed method applies the Linear Spectral Mixing Model (LSMM) to
PROBA-V datasets to derive vegetation, soil and shade fraction
images for global and regional analysis. We used 1 km composites
of 10 days (S10-TOC - 10-daily global composites, Top-Of-Canopy)
for the South America and 100 m composites of 5 days (S5-TOC -
5-daily global composites, Top-Of-Canopy) for the Mato Grosso
State, Brazilian Amazon. Then we built the 1km and 100m composites
corresponding to the three endmembers with the highest fraction
values during the year 2015. In that manner we could detect and
map the areas occupied by main crops in Brazil, during the 2015
year, using the vegetation fraction composites. Also, PROBA-V
images were acquired in the dry season, on 21 June, 26 July and 11
August 2015 to show the potentiality of these images to assess the
land cover changes due to deforestation and forest degradation by
fire. The agricultural areas mapped using 1km dataset were
compared with 100m results for the Mato Grosso State showing a
difference of 12% (58,834 km2 and 66,490 km2 , respectively). The
results are very important for the government and nongovernmental
organizations for planning and management of the tropical
environment.",
conference-location = "Yokohama, Japan",
conference-year = "28 July - 02 Aug.",
language = "en",
targetfile = "shimabukuro_assessment.pdf",
urlaccessdate = "02 maio 2024"
}