Remote Sensing Application in Agriculture

ISBN-13: 9783639134360 / Angielski / Miękka / 2009 / 128 str.

Aymn Elhaddad

Opis

Soil salinity is one of the fastest growing threatsthat affects agriculture and food production.Detecting and evaluating the impact of soil salinitywith traditional methods has been a laborious and time consuming job, recently methods for detectingsoil salinity have improved greatly thanks to newtechnology. This book describes methods to detectsoil salinity levels in agricultural lands based oncrop conditions and Evapotranspiration (ET) usingsatellite imagery. Quantifying ET accurately has always been consideredone of the most challenging and expensive tasks, mostof the methods currently used to achieve this taskdepend on point measurements that do not reflect thespatial variability of ETin agriculture fields. This book describes thedevelopment of a surface energy balance-based model(Remove Sensing of ET - ReSET) that handles thespatial variability in ET, the model estimates ETbased on remotely sensed data using satelliteimagery. ET is estimated for each pixel in the imagetherefore displaying the spatial variability of ETeven within fields. Relationships between ET and soilsalinity levels in agriculture fields were developedfor several crops.

O autorze

Department of Civil and Environmental Engineering
Colorado State University