The ”Near-Global Forest Canopy Heights GLAD” dataset is developed from a fusion of GEDI lidar data (Global Ecosystem Dynamics Investigation Lidar) and Landsat imagery data. It has a near-global spatial coverage ranging from latitudes S52.0 to N52.0, and it reflects the 95% relative height of the canopy with a 25m ground area footprint. The GEDI […]
As wind energy analysts, we often find ourselves using land-cover datasets as the starting point of making our roughness classification models. Until now, the spatial resolution of the global land cover datasets has been limited to about 300m. This obviously limits the accuracy at roughness shifts (such as edges of forests, coastlines or cities).With the […]
During 2016-2018 EMD International A/S (EMD) formed a fruitful project partnership with the Technical University of Denmark (DTU) and ÜSTÜN Energy Engineering LLC from Turkey (ÜSTÜN) within the Eurostars project “windPROSPER”. In 2019 products from the project are released by the project partners and made available to users of windPRO. First product from windPROSPER was […]