@Article{ValerianoKuStAmMeLi:2006:MoSmWa,
author = "Valeriano, M{\'a}rcio de Morisson and Kuplich, Tatiana Mora and
Storino, Mois{\'e}s and Amaral, Benedito Domingues do and Mendes
J{\'u}nior, Jaime Nogueira and Lima, Dayson Jardim",
affiliation = "INPE and INPE and IAC and UNESP and UNICAMP and INPE",
title = "Modeling small watersheds in Brazilian Amaz{\^o}nia with SRTM-90m
data",
journal = "Computers and Geosciences",
year = "2006",
volume = "32",
number = "8",
pages = "1169--1181",
month = "Outubro",
keywords = "Geoprocessing, SRTM, Watershed, Amazonia.",
abstract = "This work presents a methodology for the refinement of SRTM
(Shuttle Radar Topographic Mission)-90m data available for South
America to enable detailed watershed studies in Amazonia. The
original data were pre-processed to properly map detailed
low-order drainage features and allowed digital estimates of
morphometric variables. Spatial resolution refinement (3o to 1o,
or ~90m to ~30m) through data kriging was found to be an
interesting solution to construct Digital Elevation Models (DEM)
with more adequate presentation of land forms than the original
data. The refinement of spatial resolution by kriging
interpolation overcame the main constraints for drainage modeling
with original SRTM-90m, such as spatial randomness, artifacts and
unrealistic presentation due to pixel size. Kriging with Gaussian
semivariogram model caused a smoothing of the resulting DEM, but
the main features for drainage modeling were preserved. Canopy
effects on the modeled surface represented the main remaining
limitation for terrain analysis after pre-processing. Data
regarding a small watershed in Amazonas (~38km2), Brazil, were
evaluated through visualization techniques, morphometric analyses
and plot diagrams of the results. The data showed limitations for
use in the original form, but could be applied for watershed
modeling at relatively detailed scales after the described
pre-processing.",
copyholder = "SID/SCD",
issn = "0098-3004",
label = "self-archiving-INPE-MCTIC-GOV-BR",
language = "en",
targetfile = "article.pdf",
urlaccessdate = "2024, May 19"
}