For this purpose, in addition to the processors, the necessary spectral and radiometric calibrations are evaluated based on the satellite equipment, but essential properties from the remote sensing ...

Understanding vulnerability to burning. Soil erosion risk assessment. Spectral detection of near-surface moisture content. Conducting biomass inventory. Applications for remote sensing and geospatial ...

Seagrass meadows are critical marine ecosystems, acting as carbon sinks and providing habitats for diverse marine species.

Remote sensing scientists use data collected by satellites, aircraft, and Unmanned Aerial Systems (drones) to address questions important for agriculture, natural resource and wildlife management, ...

Remote Sensing 14. (2022): 4390. Web. Zawacki, Alexander, et al. "Fragments under the Lens: A Case Study of Multispectral versus Hyperspectral Imaging for Manuscript Recovery." Digital Philology 12. 1 ...

For environmental systems, such as climate and weather, different types of EO sensors are adopted, with distinct spatial, spectral, and temporal resolutions. This generates substantial quantities of ...

The Digital Imaging and Remote Sensing Laboratory conducted a data collection campaign to gather multi-modal imagery data in collaboration with SpecTIR, LLC, Kucera International, and a dedicated team ...

For long-distance sensing, the MIT team came up with the idea to engineer cells to produce hyperspectral ... For a hyperspectral reporter to be most useful, it should have a spectral signature with ...

Researchers engineered bacteria to produce spectral pigments in response to environmental triggers. Using hyperspectral ...

Accurate sampling is crucial for remote sensing applications like land-use ... fail to capture the full range of terrain ...