@InProceedings{ValerianoAlbu:2015:DeMoDi,
author = "Valeriano, M{\'a}rcio de Morisson and Albuquerque, Paulo Cesar
Gurgel de",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Deriva{\c{c}}{\~a}o de Modelos Digitais de Eleva{\c{c}}{\~a}o
(MDE) em coordenadas geogr{\'a}ficas",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "1860--1867",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This paper focuses conceptually-based cares to de observed when
dealing with geographical coordinates in the derivation of
broad-coverage Digital Elevation Models (DEM), as SRTM, GDEM/ASTER
and the upcoming surveys. The derivation of slope was tested under
two conditions for computing the horizontal component. In the more
rigorous approach, DEM pixels are taken as rectangles with
dimensions determined by the geodetic relation between coordinates
units and the corresponding terrain (horizontal) distance, in the
latitudinal and longitudinal directions. In the test area (32º S),
the resulting pixel dimensions of a square spacing grid of 1 were
approximately 25m and 31m (x and y), a distortion of 25% from the
implicit relation assumed in the direct application of derivation
filters. The incoming errors from the simple (square) approach,
with deviances up to 4º, reflected an underestimation of slope
angles prevailing in the E and W slopes. Proportionally to the
results from the rectangular approach, errors were mostly
distributed up to 25%, with outliers above 50%. These errors were
correlated to steepness, and enough to alter the slope-interval
class (towards gentler relief) of 8,6% of the tested area. Of the
E and W oriented slopes, 13% of the area was misclassified.
Regarding the relief classes themselves, the proportional area of
misclassification increased according to the steepness of the
relief, with 64% of steepest areas (slopes from 20% to 45%)
falling into the preceding slope class (8% to 20%).",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "369",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM49D3",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM49D3",
targetfile = "p0369.pdf",
type = "Geoprocessamento e aplica{\c{c}}{\~o}es",
urlaccessdate = "03 jun. 2024"
}