Spanish Orthophoto Mosaic: Difference between revisions

From Wiki-WindPRO
Jump to navigation Jump to search
No edit summary
No edit summary
Line 1: Line 1:
[[Category:Online Data]][[Category:Maps]][[Category: InnoWind]][[File:ESPO2.png|thumb|350px|WindPRO Data and Maps for Wind Farm at El Hierro, Canaries.]]
[[Category:Online Data]][[Category:Maps]][[Category: InnoWind]][[File:ESPO.png|thumb|350px|WindPRO Data and Maps for Wind Farm at El Hierro, Canaries.]]
== Introduction ==
== Introduction ==
The Spanish Orthophoto Mosaic is a part of the dynamic, zoomable maps in windPRO. The orthophotos were released by the National Geographic Institute of Spain (Instituto Geográfico Nacional, IGN). Pixel size for the dynamic map in windPRO is 1m.
The Spanish Orthophoto Mosaic is a part of the dynamic, zoomable maps in windPRO. The orthophotos were released by the National Geographic Institute of Spain (Instituto Geográfico Nacional, IGN). Pixel size for the dynamic map in windPRO is 1m.

Revision as of 07:00, 2 April 2019

WindPRO Data and Maps for Wind Farm at El Hierro, Canaries.

Introduction

The Spanish Orthophoto Mosaic is a part of the dynamic, zoomable maps in windPRO. The orthophotos were released by the National Geographic Institute of Spain (Instituto Geográfico Nacional, IGN). Pixel size for the dynamic map in windPRO is 1m.

Usage Notes

  • The mosaic was created from available data sources accessed in Match 2019
  • The most recent imagery is used to create the mosaic

Availability from within windPRO

  • From map window: Click the ‘Add map’ globe-icon -> then ‘Dynamic Maps’.
  • From main menu: Click ‘Project’ -> ‘Properties’ -> ‘Background Maps’ -> ‘Dynamic Maps’

License and Attribution

Contains data from the National Geographic Institute of Spain (Instituto Geográfico Nacional, IGN).

Acknowledgement

  • The National Geographic Institute of Spain (Instituto Geográfico Nacional, IGN) are thanked for producing this digital dataset – and disseminating it in the public domain and thus for aiding the development of renewable energy.
  • Integration of this dataset into EMD services - was co-supported through the InnoWind project (www.innowind.dk) - which is co-funded by the Danish Innovation Fund