Difference between revisions of "WindSight - Premium Data Layers by DHI GRAS"
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== Introduction == | == 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 [[:Category:InnoWind|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. Users that is interested in this products may contact DHI-GRAS for further details, see [https://www.dhi-gras.com/ www.dhi-gras.com]. | 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 [[:Category:InnoWind|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. Users that is interested in this products may contact DHI-GRAS for further details, see [https://www.dhi-gras.com/ www.dhi-gras.com]. | ||
Revision as of 16:30, 16 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. Users that is interested in this products may contact DHI-GRAS for further details, see www.dhi-gras.com.
External Links
DHI-GRAS: https://www.dhi-gras.com/