This Special Issue invites articles that highlight the integration of VHR data with novel algorithms, e.g., using Machine Learning approaches, which could include deep learning and data mining for LU/CC mapping, monitoring and impact assessment studies, such as the following:

• Forest disturbance mapping and changes

• Agricultural monitoring that would include remote sensing of crop growth stages, crop production, farming practices, and impacts on water/energy balance

• Urbanization and associated impacts (urban heat island effect, air and water pollution, etc.)

• Monitoring fires, biomass burning, and its impacts

• Mapping and monitoring of land management practices, disturbances, and interactions

• New tools and methods for fusing VHR and moderate resolution data

The current call for papers is targeting NASA-funded researchers who have been using VHR data in LU/CC research and applications. The issue is open for non-NASA (and non-US) researchers if the critical mass of accepted papers is not reached.

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