SPACE TIME VARIABILITY OF SURFACE TEMPERATURE IN THE SEMI-ARID PERNAMBUCO BASED IMAGE TM / LANDSAT

Madson T. Silva

Abstract


In this study we used remote sensing techniques to estimate and evaluate the spatial and temporal variability of surface temperature (Ts) in the semiarid pernambucano. Four images of the sensor Thematic Mapper (TM), Landsat 5, dated 12/12/1991, 09/12/1996, 13/12/2003 and 27/11/2009, constituted the experimental unit, which were estimated using the algorithm Surface Energy Balance Algorithms for Land (SEBAL). The main results indicated that the maximum surface temperature varied between 32.5 and 46.1 º C, found in areas with exposed soil or areas used for crops irrigated by the river São Francisco. In general, it can be seen that where there is a natural vegetation Ts was always lower in relation to the modified areas, which are present systematically higher temperatures studied on all days. It is concluded that remote sensing techniques proved efficient to quantify the spatio-temporal variability of surface temperature for semiarid conditions pernambucano.


Keywords


Remote sensing, SEBAL, Seasonal caatinga vegetation.

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DOI: https://doi.org/10.29150/jhrs.v4i4.22702

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