Coarse pixel size in satellite thermal data prevents accurate local temperature monitoring. Improving resolution allows for precise urban heat island analysis and environmental modeling.

Inconsistent data acquisition and manual interpretation errors lead to unreliable measurements of snow and ice. Precise identification of these features is critical for accurate climate modeling and water resource management.

Standard remote sensing fails to account for topographic variance and vegetation root depth dynamics. Addressing these variables reduces error margins in regional hydrological modeling.