@InProceedings{SaatchiAlvaScot:2004:MeVeAe,
author = "Saatchi, Sassan S. and Alvala, Regina Celia dos Santos and Scott,
A. Denning",
affiliation = "{CPTEC-INPE-Cachoeira Paulista-12630-000-SP-Brasil}",
title = "Measuring Vegetation Aerodynamic Roughness Over the Amazon Basin",
booktitle = "Anais...",
year = "2004",
organization = "Conferencia Cientifica do LBA, 3.",
abstract = "The aerodynamic roughness length (Z0) is an important parameter to
determine the vertical gradients of mean wind speed and the
conditions for momentum transfer over a vegetated or bare rough
surface. Over vegetated surfaces, the aerodynamic roughness length
has a simple one-to-one relationship with the rms height of the
vegetation at the top of the canopy. Once this roughness length is
determined for a surface, it does not change with wind speed,
stability or stress. During the LBA experiment the Regional
Atmospheric Modeling System (RAMS) with flexible horizontal and
vertical resolution will be used in conjunction with other models
to simulate the atmospheric circulation and trace gas
concentration and transport at various scales. This model is
suitable to determine the effect of surface roughness parameter at
trace gas transport both at local level for LBA study areas and on
at the regional level for the entire Amazon basin. In this paper,
we present the estimation of this parameter from data fusion of
several remote sensing and ground data. SRTM (Shuttle Radar
Topography Mission) data at 3 arc-sec resolution, texture maps
derived from JERS-1 L-band radar system, vegetation cover types
are the main spatial data sets used in data fusion. A
semi-empirical algorithm relating these surface parameters to the
rms height of the vegetation and the aerodynamic roughness was
developed. This algorithm was applied to the entire SRTM data to
estimate the roughness length over the basin at 1 km resolution.",
conference-location = "Brasilia",
conference-year = "27-29 jul.",
language = "en",
organisation = "LBA",
targetfile = "Saatchi_LBA.pdf",
urlaccessdate = "01 maio 2024"
}