@Article{MuņozValeBisp:2013:SuToHe,
author = "Muņoz, Viviana Aguilar and Valeriano, M{\'a}rcio de Morisson and
Bispo, Polyanna da Concei{\c{c}}{\~a}o",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Surveying the topographic height from SRTM data for canopy mapping
in Brazilian Pantanal",
journal = "Geografia (Rio Claro)",
year = "2013",
volume = "38",
pages = "139--155",
note = "{Setores de Atividade: Pesquisa e desenvolvimento
cient{\'{\i}}fico.}",
keywords = "vegeta{\c{c}}{\~a}o natural, levantamento, geomorfometria,
sensoriamento remoto, SRTM.",
abstract = "An algorithm was developed in Geographical Information Systems
(GIS) for the extraction of topographic height from the Digital
Elevation Models (DEM) of the Shuttle Radar Topography Mission
(SRTM), C and X bands, applied to mapping vegetation canopy in the
Pantanal Floodlands. According to previous studies, these bands
are sensitive to surface vegetation and thus elevation values
increase in relation to terrain proportional to the height of the
canopy, known as canopy effect. The proposed algorithm identifies
minimum elevations within a search radius, which are likely to
represent bare earth values, to generate a reference surface. The
topographic height results from the subtraction between the
elevations of this surface and of the original DEM. It is expected
that, in this region, the height values be related to the
vegetation height. Whenever possible, the algorithm results were
observed together with optical images and vegetation maps of
RADAMBRASIL project, for the establishment of height slicing
levels as related to vegetal groups. The visual examination and
statistical analysis have provided three levels of slicing height,
which would be related to herbaceous, shrub and tree (forest)
vegetation communities. Although slicing levels could be related
to general classes of vegetation canopy in this region, field data
and, or, fine resolution optical data are required for more
detailed mappings. Regardless of the classification approach,
height estimates from SRTM DEM represent a subsidiary data for the
remote characterization of the Pantanal Floodlands vegetation,
which complements traditionally used optical data.",
issn = "0100-7912 and 1983-8700",
label = "lattes: 8678564148136140 2 MuņozValeBisp:2013:SuToHe",
language = "en",
urlaccessdate = "25 jan. 2021"
}