01569naa a2200301 a 450000100080000000500110000800800410001902000180006010000260007824501500010426000090025430000160026352005980027965000190087765000240089665000200092065000250094065000200096565300200098565300180100565300190102365300180104270000240106070000170108470000220110170000180112377301260114119729492017-04-25       2013    bl uuuu     u00u1 u    #d  a97814665057801 aTEIXEIRA, A. H. de C.  aA comparative study of techniques for modeling the spatiotemporal distribution of heat and moisture fluxes at different agroecosystems in Brazil.  c2013  ap. 165-188.  aAs a result, this chapter is structured as follows: following the introduction, the study region, datasets, and the steps for modeling are described; one of the first comparisons between SAFER and SEBAL is then made available, comparing estimates by these two modeling approaches against corresponding estimates by the traditional FAO methodology; next, results from case studies are furnished, covering application of both SAFER and SEBAL methods with satellite images, in some irrigation crops and natural vegetation at different spatial and temporal scales in the Brazilian semiarid region.  aRemote sensing  aBalanço de Energia  aRecurso natural  aSensoriamento remoto  aUmidade do Solo  aAgroecossistema  aEnergy budget  aFloxo de calor  aSoil moisture1 aHERNANDEZ, F. B. T.1 aLOPES, H. L.1 aSCHERER-WARREN, M1 aBASSOI, L. H.  tIn: PETROPOULOS, G. P. (Ed.). Remote sensing of energy fluxes and soil moisture content. Boca Raton, FL: CRC Press, 2013.