Articles | Volume 6, issue 6
https://doi.org/10.5194/wes-6-1379-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/wes-6-1379-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Satellite-based estimation of roughness lengths and displacement heights for wind resource modelling
DTU Wind Energy, Risø Campus, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
Merete Badger
DTU Wind Energy, Risø Campus, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
Ib Troen
DTU Wind Energy, Risø Campus, Technical University of Denmark, Frederiksborgvej 399, 4000 Roskilde, Denmark
Kenneth Grogan
DHI GRAS A/S, Agern Alle 5, 2970 Hørsholm, Denmark
Finn-Hendrik Permien
Siemens Gamesa Renewable Energy A/S, Borupvej 16, 7330 Brande, Denmark
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Cited
14 citations as recorded by crossref.
- The Effect of Land Use Classification on the Gas‐Phase and Particle Composition of the Troposphere: Tree Species Versus Forest Type Information M. Luttkus et al. 10.1029/2021JD035305
- Wind Energy and the Energy Transition: Challenges and Opportunities for Mexico V. Magar et al. 10.3390/su15065496
- Surface roughness parameters at a tropical semi-arid site: 4 years of atmosphere boundary layer observations in the deccan plateau region at Shadnagar, India S. Sakuru et al. 10.1007/s00703-024-01040-0
- Spaceborne LiDAR-derived height-variable forest wind reduction factors (WRF) for improved wildfire spread modelling M. Harrison et al. 10.1016/j.agrformet.2025.110639
- MCDM GIS framework for wind energy sites suitability in Algeria's northwest D. Hafida et al. 10.1016/j.esd.2025.101836
- A Data-driven approach with reanalysis and geospatial data for chloride deposition prediction T. Brandenburg et al. 10.1007/s12145-024-01660-5
- GIS-based application to calculate directional wind-driven rain exposure on residential buildings at an urban scale: The case study of Zaragoza, Spain E. Cano-Suñén et al. 10.1016/j.buildenv.2023.111152
- Quantifying Methane Emission Rates Using Downwind Measurements S. Riddick 10.3390/encyclopedia5020057
- Estimating evapotranspiration in mountainous water-limited regions from thermal infrared data: Comparison of two approaches based on energy balance and evaporative fraction B. Sebbar et al. 10.1016/j.rse.2024.114481
- The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland A. Amsharuk & G. Łaska 10.3390/en16207107
- FLOW-Alaiz benchmark for coupled terrain and array interaction flow models. Baseline Results J. Sanz Rodrigo et al. 10.1088/1742-6596/2767/9/092077
- Site Selection of Wind Farms in Poland: Combining Theory with Reality A. Amsharuk & G. Łaska 10.3390/en17112635
- Implications of Spatial Reliability Within the Wind Sector A. Zisos & A. Efstratiadis 10.3390/en18174717
- Using Observed and Modelled Heat Fluxes for Improved Extrapolation of Wind Distributions R. Floors et al. 10.1007/s10546-023-00803-3
14 citations as recorded by crossref.
- The Effect of Land Use Classification on the Gas‐Phase and Particle Composition of the Troposphere: Tree Species Versus Forest Type Information M. Luttkus et al. 10.1029/2021JD035305
- Wind Energy and the Energy Transition: Challenges and Opportunities for Mexico V. Magar et al. 10.3390/su15065496
- Surface roughness parameters at a tropical semi-arid site: 4 years of atmosphere boundary layer observations in the deccan plateau region at Shadnagar, India S. Sakuru et al. 10.1007/s00703-024-01040-0
- Spaceborne LiDAR-derived height-variable forest wind reduction factors (WRF) for improved wildfire spread modelling M. Harrison et al. 10.1016/j.agrformet.2025.110639
- MCDM GIS framework for wind energy sites suitability in Algeria's northwest D. Hafida et al. 10.1016/j.esd.2025.101836
- A Data-driven approach with reanalysis and geospatial data for chloride deposition prediction T. Brandenburg et al. 10.1007/s12145-024-01660-5
- GIS-based application to calculate directional wind-driven rain exposure on residential buildings at an urban scale: The case study of Zaragoza, Spain E. Cano-Suñén et al. 10.1016/j.buildenv.2023.111152
- Quantifying Methane Emission Rates Using Downwind Measurements S. Riddick 10.3390/encyclopedia5020057
- Estimating evapotranspiration in mountainous water-limited regions from thermal infrared data: Comparison of two approaches based on energy balance and evaporative fraction B. Sebbar et al. 10.1016/j.rse.2024.114481
- The Approach to Finding Locations for Wind Farms Using GIS and MCDA: Case Study Based on Podlaskie Voivodeship, Poland A. Amsharuk & G. Łaska 10.3390/en16207107
- FLOW-Alaiz benchmark for coupled terrain and array interaction flow models. Baseline Results J. Sanz Rodrigo et al. 10.1088/1742-6596/2767/9/092077
- Site Selection of Wind Farms in Poland: Combining Theory with Reality A. Amsharuk & G. Łaska 10.3390/en17112635
- Implications of Spatial Reliability Within the Wind Sector A. Zisos & A. Efstratiadis 10.3390/en18174717
- Using Observed and Modelled Heat Fluxes for Improved Extrapolation of Wind Distributions R. Floors et al. 10.1007/s10546-023-00803-3
Latest update: 12 Oct 2025
Short summary
Wind turbines are frequently placed in forests. We investigate the potential of using satellites to characterize the land surface for wind flow modelling. Maps of forest properties are generated from satellite data and converted to flow modelling maps. Validation is carried out at 10 sites. Using the novel satellite-based maps leads to lower errors of the power density than land cover databases, which demonstrates the value of using satellite-based land cover maps for flow modelling.
Wind turbines are frequently placed in forests. We investigate the potential of using satellites...
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