Abstract
With energy demand increasing around the world, it is increasingly recognized that renewable energy will play an important role in reducing greenhouse gas emissions and local air pollutants associated with the burning of fossil fuels. Improved understanding of renewable energy potential, and particularly the spatiotemporal patterns of this potential, is important for improving energy-economic models and delivering better information to decision makers in government and industry.
| Original language | English |
|---|---|
| Article number | 097601 |
| Pages (from-to) | 1-2 |
| Journal | Journal of Applied Remote Sensing |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2015 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Geospatial Information Systems
- Environmental Management
- Photogrammetry and Remote Sensing
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