@InProceedings{BeuchleEvMiHoOsAc:2011:GlTrFo,
author = "Beuchle, Ren{\'e} and Eva, Hugh Douglas and Miranda, Evaristo
Eduardo de and Holler, Wilson Anderson and Oshiro, Osvaldo
Tadatomo and Achard, Fr{\'e}deric",
affiliation = "{Joint Research Centre of the European Commission} and {Joint
Research Centre of the European Commission} and {EMBRAPA
Monitoramento por Sat{\'e}lite} and {EMBRAPA Monitoramento por
Sat{\'e}lite} and {EMBRAPA Monitoramento por Sat{\'e}lite} and
{Joint Research Centre of the European Commission}",
title = "Global tropical forest cover change assessment with medium spatial
satellite imagery using a systematic sample grid – data, methods
and first results",
booktitle = "Anais...",
year = "2011",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "2981--2988",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 15. (SBSR).",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "tropical forest cover, monitoring, Landsat, object-based
classification.",
abstract = "At the Joint Research Centre (JRC) of the European Commission, a
methodology has been developed to monitor the pan-tropical forest
cover with remote sensing data for the years 1990-2000-2005 in
Latin America, Southeast Asia and Africa on the basis of over 4000
sample units sample units with a dimension of 20 km by 20 km
located at every full latitude and longitude degree confluence.
From the Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper
(ETM) instruments, images with low cloud impact from the epochs
around the years 1990, 2000 and 2005 were selected and subsets
covering the sample units were cut-out, pre-processed, segmented
and classified in five different land cover classes in order to
build global and regional statistics on tropical forest cover
change. The data was validated in three steps, internal correction
of wrongly classified objects, external (national or regional)
expert validation and internal harmonization of the data. In this
paper, the data collection and the workflow Anais XV Simp{\'o}sio
Brasileiro de Sensoriamento Remoto - SBSR, Curitiba, PR, Brasil,
30 de abril a 05 de maio de 2011, INPE p.2981 2981of the forest
cover change assessment for the epochs 1990 and 2000 is presented.
Parts of the results for the Brazilian Amazon have been validated
by comparing with interpretations of corresponding samples carried
out by the Instituto Nacional de Pesquisas Espaciais (INPE),
showing a very high correlation. Further, the figure produced by
INPE through the PRODES program on gross deforestation for the
years 1990-2000 was compared to the figure calculated on basis of
the JRC results for the respective area, where the JRC estimate
that was ca. 10% higher than the INPE estimate.",
conference-location = "Curitiba",
conference-year = "30 abr. - 5 maio 2011",
isbn = "{978-85-17-00056-0 (Internet)} and {978-85-17-00057-7 (DVD)}",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW/39TMGKH",
url = "http://urlib.net/ibi/3ERPFQRTRW/39TMGKH",
targetfile = "p0445.pdf",
type = "An{\'a}lise Florestal e Vegeta{\c{c}}{\~a}o",
urlaccessdate = "11 maio 2024"
}