Multi-Source Land Imaging (MuSLI)

Displaying 1 - 17 of 17
01/01/2024:   Detecting and Mapping War-Induced Damage to Agricultural Fields in Ukraine Using Multi-Modal Remote Sensing Data
01/01/2024:   Multi-Source, Multi-Resolution Imaging of Urban Land Cover to Improve Predictions of Human Heat Exposures
01/01/2024:   Multiscale Monitoring of Drought-Induced Forest Mortality by Detecting Spatial Anomalies in Land Surface Temperature and Infrared Reflectance
01/01/2024:   Pre- and Post- Wildfire Analysis in Mediterranean Forests Using Combined SWIRTIR Orbital Remote Sensing
01/01/2024:   Quantifying Connections Between Urban LCLUC and Emerging Extreme Heat in Rapidly Growing Indian Cities
01/01/2024:   Tropical Forest Degradation and Regeneration in the Brazilian Amazon: Thermal Remote Sensing Integrated into a Multi-Source Land Imaging Approach
01/01/2024:   Urbanization and Fire Risk at the Global Wildland-Urban Interface: A MultiSensor Study of Past and Future Trends
05/01/2018:   Africa Burned Area Product Generation, Quality Assessment and Validation - Demonstrating a Multi-Source Land Imaging (MuSLI) Landsat-8 Sentinel-2 Capability
05/01/2018:   Prototyping MuSLI canopy Chlorophyll Content for Assessment of Vegetation Function and Productivity
02/01/2018:   Crop Yield Assessment and Mapping by a Combined use of Landsat-8, Sentinel-2 and Sentinel-1 Images
01/15/2018:   An Operational Multisource Land Surface Phenology Product from Landsat and Sentinel 2
01/15/2018:   Monitoring Abandoned Agriculture, Fallow Fields, and Grasslands with Landsat and Sentinel-2
01/01/2018:   Prototyping an Oil Palm Plantation MuSLI from Landsat and Dual-Wavelength Synthetic Aperture Radar
07/01/2015:   Integrating Landsat 7, 8 and Sentinel 2 Data in Improving Crop Type Identification and Area E stimation
07/01/2015:   Multi-Source Imaging of Infrastructure and Urban Growth Using Landsat, Sentinel and SRTM
07/01/2015:   Multi-Source Imaging of Time-Serial Tree and Water Cover at Continental to Global Scales
07/01/2015:   Multisource Imaging of Seasonal Dynamics in Land Surface Phenology: A Fusion Approach Using Landsat and Sentinel - 2