<![CDATA[The application of cloud-native geospatial protocol in environmental science learning is novel and rare, warranting further in-depth study. This study aims to analyze cloud-native geospatial protocol for soil erosion management as part of the environmental science courses. This study employed a Design-Based Research (DBR) approach within the STEM learning framework. This study focused on prototyping the learning materials and validating their effectiveness through simulation the Revised Universal Soil Loss Equation (RUSLE) model hosted on Google Earth Engine. The Cloud-Native Geospatial Protocol serves as a valid and effective instructional material for environmental sciences learning. It successfully accelerates environmental knowledge creation by transforming abstract STEM concepts into visual and quantifiable experiences. This learning model simulates the annual reduction in soil erosion risk, providing a concrete context for mathematical and engineering reasoning in solving environmental problems.]]>
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