Difference between revisions of "WindSight - Premium Data Layers by DHI GRAS"
m (Morten moved page InnoWind Premium Data Layers to DHI-GRAS Premium Innowind Data Layers) |
|||
| Line 10: | Line 10: | ||
* Risø Data - available [https://help.emd.dk/mediawiki/images/6/6d/DHI-GRAS_Risoe_InnoWind.zip here] (zip file) | * Risø Data - available [https://help.emd.dk/mediawiki/images/6/6d/DHI-GRAS_Risoe_InnoWind.zip here] (zip file) | ||
* Østerild Data - available [https://help.emd.dk/mediawiki/images/3/30/DHI-GRAS_Oesterild_InnoWind.zip here] (zip file) | * Østerild Data - available [https://help.emd.dk/mediawiki/images/3/30/DHI-GRAS_Oesterild_InnoWind.zip here] (zip file) | ||
| + | |||
| + | Note: We recommend to use windPRO 3.4 to load the data. This version will be available in early spring 2020. | ||
Legends to use with these files are available [https://help.emd.dk/mediawiki/images/9/9e/WindPRO_InnoWind_Standards.zip here] as a zip file. To use these legends, please unpack the content to your folder with the windPRO 'standards'. Typically this will be within this folder: | Legends to use with these files are available [https://help.emd.dk/mediawiki/images/9/9e/WindPRO_InnoWind_Standards.zip here] as a zip file. To use these legends, please unpack the content to your folder with the windPRO 'standards'. Typically this will be within this folder: | ||
Revision as of 11:10, 19 March 2020
Introduction
To use satellite-based data in the wind-energy flow modelling chains and to integrate those data into wind-energy yield assessments. That was one of the goal of the InnoWind project that took place during years 2017-2020 and where EMD International A/S formed a project partnership with the Technical University of Denmark, DHI-GRAS, Vestas and Vattenfall, see more at www.innowind.dk. The project was finalized in spring 2020 with a lot of fast-track data-products derived from satellite and remote sensing missions being available directly in windPRO, see our dedicated InnoWind wiki page. During the project, DHI-GRAS has developed its DHI-GRAS InnoWind Premium Data Service. This service allows DHI-GRAS to deliver data-layers of forest-height, land-cover and leaf-area-index in 20m resolution – based on Sentinel 1 and Sentinel 2 source data - with data layers being derived using machine-learning algorithms. These data are easily read with windPRO – as they are typically delivered in geotiff-format.
WindPRO and WAsP users that is interested in this products may contact DHI-GRAS for further details and pricing, see www.dhi-gras.com.
Premium Data Samples and windPRO legends
Two sample packages of premium sample data are available for download for WAsP and windPRO users: one is for the area around the DTU Risø campus and the other from the Danish National Test Station at Østerild.
Note: We recommend to use windPRO 3.4 to load the data. This version will be available in early spring 2020.
Legends to use with these files are available here as a zip file. To use these legends, please unpack the content to your folder with the windPRO 'standards'. Typically this will be within this folder:
c:\WindPRO Data\3.4\Standards
Use DHI-Gras InnoWind Premium Data in windPRO
These data layers are typically used with the forest models in windPRO, i.e. the displacement height calculator and the ORA tool. We have a created a small cheat-sheet that describes how these new data-layers are loaded into the respective objects in windPRO - and how they are 'consumed' in the different calculations.
- InnoWind data in windPRO - cheat sheet - here (pdf-format)
Please note that the cheat-sheet is also useful for understanding how raster-based data can be 'consumed' in a varity of ways in the different objects in windPRO - and how the data layers are consumed within the various calculations.
External Links
DHI-GRAS: https://www.dhi-gras.com/