Influence of spatial resolution on fuelwood supply estimations
Abstract
In this study we analyze how the spatial resolution of three satellite images affects estimates of fuelwood availability in a region located in Southern India. For this purpose, we rely on satellite imagery, ground-truthing through GNSS Data Logger, and data from productivity value records. Preliminary findings suggest that higher-resolution satellite imagery significantly improves the accuracy of fuelwood source estimations, revealing a complex mosaic of available biomass often overlooked by coarser map scales of analysis. By incorporating localized data on fuelwood collection patterns and the spatial distribution of biomass, we aim to enhance predictive models that can more accurately forecast fuelwood availability. In didactic terms, we consider this analysis to be a good example that provides a comprehensive understanding of how the characteristics of satellite imagery can influence the cartographic products that are the basis for decision making. It also has significant potential to be utilized online as a practical exercise in GIS and remote sensing courses, allowing students to practically analyze a real-world case, thereby enhancing meaningful learning.References
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