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Drought Spatial Object Prediction Approach using Artificial Neural Network
Geoinformatics & Geostatistics An Overview
The concept of object identification and modeling has fueled a lengthy scientific effort to convert remotely sensed images into geographic phenomena. The objective of this article was to develop a new concept for characterizing and identifying drought spatial objects from satellite images for improved drought prediction and mitigation using a back propagation artificial neural network (ANN). To characterize drought as a spatial object, 11 attributes from multi-sensors and resolutions ( such asdoi:10.4172/2327-4581.1000132 fatcat:5ab735seizgxjnptphjikxjw3u