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Proceedings Paper

Evaluation of evapotranspiration in an alpine forest catchment using satellite remotely sensed data
Author(s): Michele Meroni; Pietro Alessandro Brivio; Roberto Colombo; Pier Paolo Ghezzi; Claudia Giardino; Mario A. Gomarasca
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Paper Abstract

In this study daily spatially distributed evapotranspiration maps were estimated by integrating meteorological data-set, ground measurements, satellite images and Digital Elevation Model in a Geographic Information System environment to resolve latent heat flux as residual term of the one- dimensional surface energy balance equation. Study area was the Masino catchment located in northern alpine environment (SO, Italy), mainly dominated by forest land cover and characterized by steep slopes, variable aspects, cast shadows and great relief energy. A digital elevation model with pixel size of 25 X 25 m, was necessary to correct the Landsat TM scenes for the relief displacement using an orthorectification model and to correct the atmospherically effects using an improved image-based inversion algorithm based on a radiative transfer model. The procedure for estimating energy balance components was based on the evaluation of the energy balance equation distributing each component on the whole catchment. A simplified procedure was applied to relate instantaneous latent heat flux to actual daily evapotranspiration and the results were compared with that computed in correspondence to the meteorological station.

Paper Details

Date Published: 11 December 1998
PDF: 8 pages
Proc. SPIE 3496, Earth Surface Remote Sensing II, (11 December 1998); doi: 10.1117/12.332712
Show Author Affiliations
Michele Meroni, Istituto di Ricerca sul Rischio Sismico/CNR (Italy)
Pietro Alessandro Brivio, Istituto di Ricerca sul Rischio Sismico/CNR (Italy)
Roberto Colombo, Istituto di Ricerca sul Rischio Sismico/CNR (Italy)
Pier Paolo Ghezzi, Istituto di Ricerca sul Rischio Sismico/CNR (Italy)
Claudia Giardino, Istituto di Ricerca sul Rischio Sismico/CNR (Italy)
Mario A. Gomarasca, Istituto di Ricerca sul Rischio Sismico/CNR (Italy)

Published in SPIE Proceedings Vol. 3496:
Earth Surface Remote Sensing II
Giovanna Cecchi; Eugenio Zilioli, Editor(s)

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