The Processing and Monitoring Drought In-Season Economic Crop by Normalized Difference Vegetation Index Anomaly Analysis Tool

Abstract

The objective of this research is to present the method, guidelines, and tools for analyzing and monitoring the effects of in-season drought during the economic crop season. The analysis based on the weekly Normalized Difference Vegetation Index (NDVI) data from "the automated processing system for the determination of drought risk areas" (Geo-Informatics and Space Technology Development Agency) between 2013 - 2018 in the form of the weekly baseline of NDVI pixels. They are assessing the anomaly of the drought in 2562 (the highest drought in 50 years) and analysis of the effected ratio of the provincial agriculture area. It also displays the area and quantity of the affected by pixels (1x1square kilometers)—besides, the suggested method for 2020 in-season monitoring (sugarcane case study)—the monitoring tool for processing the serviced data for the national researcher are explained through the main content and the conclusion part of this study.  The anomaly of Normalized Difference Vegetation Index (NDVI) can be inferred that the area where the plants appear to be incompleted or reduced is the area  where the plants are facing with drought.