A recent study presents a radiative transfer model-driven machine learning technique for retrieving carbon monoxide from the ...

Julian Schweers: Modelling and analysing spatial patterns of soil organic carbon stocks on a landscape scale using remote sensing and machine learning. B. Sc. Landschaftsökologie. Linda Adorf: Soil ...

Specifically, we need to improve remote sensing of the global inland water surface area, water residence time and concentrations of organic carbon in these ecosystems. Furthermore, tropical and ...

Researchers from Brazil and Spain are using sensors installed in drones and agricultural equipment, along with satellite ...

Remote sensing technologies are one of the most important tools for monitoring environmental ... making it a valuable technique in numerous fields. LIDAR data can be used to estimate carbon stocks, ...

Proveye, a leading Irish remote sensing company at the forefront of nature-based solutions and sustainable food production, ...

Mangroves are remarkable ecosystems home to amazing biodiversity, dense vegetation, and conditions that capture large ...

Remote sensing company Proveye has been awarded a second contract with the European Space Agency (ESA) under the ARTES ...