Integration of big data and advanced remote sensing techniques to manage field irrigation in arid land
Paper ID : 1053-ICRSSSA-FULL
Authors
Mohamed M. Elsharkawy *1, Mohsen Nabil2, Eslam Farg2, Sayed Madany Arafat2
1Soils Department, Faculty of Agriculture, Beni-Suef University, Beni-Suef, Egypt
2Division of Agricultural Applications, Soils and Marine Sciences, National Authority for Remote Sensing and Space Sciences, Cairo, Egypt
Abstract
Measuring and observing consumptive water use is a critical undertaking in arid regions where water is in charge of the economic prosperous of a large agricultural industry and the food supply of a huge number of people. Egypt suffers from several water challenges, as it is one of the driest arid regions in the entire world. Crops water consumption consider the largest use of freshwater resources on Egypt. Excessive watering or under irrigation issues could be solved if we are able to precisely calculate crop water demand of plants evapotranspiration. The continuous archive of satellite imagery enables farmers to calculate evapotranspiration continuously. The current work aimed to estimate crop evapotranspiration from Landsat imagery using surface energy balance system and combining the result by principal component image fusion technique using vegetation indices extracted from high spatial resolution image acquired at same time in two selected areas representing orchids and herbaceous crops. The results showed that the use of surface energy balance system and spectral data fusion has given an accurate information of the amount of water consumption for the study area, especially in the case of the second selected area of citrus field, where the distance between individual trees is almost equal to the accuracy of the high spatial ground resolution imagery. The methodology used in the present study is available to estimate crop water requirements under arid climate with sprinkler and/or drip irrigation systems.
Keywords
Irrigation management; Arid land; Water stress; Remote Sensing
Status: Accepted (Oral Presentation)