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Il laboratorio di tecnologie informative per la pianificazione dei bacini idrografici della Basilicata
No full text
Analisi del contenuto di informazione nel monitoraggio delle caratteristiche idraulico-ambientali di un invaso
No full textI Sistemi Informativi Territoriali in Idrologia e nello studio dell'evoluzione dei bacini idrografici. -
No full textVerso la costituzione di un “Catalogo di morfologie idrodinamiche nel deflusso su versanti e corsi d’acqua”
No full textAn integrated management system of field and satellite data for the hydrological cycle components evaluation
No full textDefinizione di una rete di monitoraggio per il controllo della qualità delle acque superficiali
No full textComparison of algorithms to retrieve Land Surface Temperature from LANDSAT-7 ETM+ IR data in the Basilicata Ionian band
Full text linkLand Surface Temperature (LST) is an extremely important parameter that controls the exchange
of longwave radiation and sensible heat flux between the Earth’s surface and the atmosphere.
Therefore knowledge of LST is essential for a range of issues and themes in Earth sciences
central to hydrology, climatology and global environmental change. In particular, it plays a main
role in estimating hydrological variables, such as evapotranspiration. However, because of the
extreme heterogeneity of most natural land surfaces, LST is a difficult parameter to estimate and
to validate. In this study, two models by Qin et al. and Jim ́enez-Mu ̃noz and Sobrino were applied
and compared for the evaluation of the LST on the Basilicata region (Southern Italy). These
models were proposed in literature as alternatives to the application of the Radiative Transfer
Equation (RTE) in order to overcome some difficulties in obtaining data from radio sounding
and in schematizing mass and energy exchange processes in the atmosphere. Two images from
Landsat-7 ETM+ (9th August, 1999; 14th June, 2002), covering the whole Basilicata region,
were processed to obtain maps of LST. The required meteorological variables, air temperature
and relative humidity, global solar radiation and wind speed, were obtained by interpolating data
from a network of agro-meteorological stations distributed within the region. The variability
of the LSTs retrieved was investigated with respect to different land use types characterized
from the CORINE Land Cover map. Then a comparison was made between the LST retrieved
by the application of the Qin et al. and the Jim ́enez-Mu ̃noz and Sobrino models and the in
situ measurements of surface temperature taken at ALSIA (Agenzia Lucana di Sviluppo e di
Innovazione in Agricoltura) weather stations located in the Ionian band of the Basilicata region.
The results show (in agreement with previous works) that the Jim ́enez-Mu ̃noz and Sobrino model,
in this case, is better able to approximate the measured data than the Qin et al. model, also using
Landsat-7 ETM+ images and in a different context, such as that of the Lucan Ionian band
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