Uso de técnicas de sensoriamento remoto para estimativa da temperatura da superfície em área irrigada da Bacia do Rio Itapicuru.

Abstract

The use of remote sensing for the knowledge of the relationship in the continuum soilplant- atmosphere, through digital images taken from sensors in orbit, is becoming and important tool in energy balance studies at the surface. This work had as objective of estimating spatial variability of the surface temperature in an area in the upper part of the Itapicuru river basin. The software ERDAS was used for digital image processing and the equations implemented SEBAL algorithm (Surface Energy Balance Algorithm for Land) was used for estimating surface temperature, by first converting digital number in radiance at the sensor. The estimates maximum and minimum temperature were 22.53oC and 47,27oC, respectively, with an average of 39,11oC and 2.65 as standard deviation.