ESTIMATION OF SUGARCANE YIELD USING MULTI-TEMPORAL SENTINEL 2 SATELLITE IMAGERY AND RANDOM FOREST REGRESSION

Satellite rainfall estimates (SREs) are alternative data sources for data-scarce basins. However, the accuracy of the products is plagued by multiple sources of errors. Therefore, SREs should be evaluated for particular basins before being used for other applications. The results of the study showed that CHIRPS2 and IMERG6 estimated rainfall and predicted hydrologic simulations well for Dhidhessa River Basin, which shows remote sensing technology could improve hydrologic studies.

Our study of flash droughts' definitions over the United States shows that published definitions yield markedly different inventories of flash drought geography and frequency. Results suggest there are several pathways that can lead to events that are characterized as flash droughts. Lack of consensus across definitions helps to explain apparent contradictions in the literature on trends and indicates the selection of a definition is important for accurate monitoring of different mechanisms.

The intent of this research paper is to rigorously validate the performance of satellite rainfall products to be used for various operational applications in data-scarce regions of the Upper Blue Nile (UBN) basin in Ethiopia. It was found that satellite rainfall products could be used as an alternative source of rainfall data in areas with no or poor ground observations. Their reliable performance could make more appropriate for various functions in complex topographic areas of the UBN basin.

The Modjo watershed is facing land degradation challenges, which in turn have had adverse effects on its agricultural productivity. Data were modelled using a binary logistic regression model. The findings revealed that local land users’ willingness to adopt tree growing is a function of many factors, however, labour force availability, the disparity of schooling age and land tenure systems have significant influence on tree-planting investment decisions.