Remote sensing and Geoinformation Technology to Explore and Predict Renewable Energy Potential

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Guest Editor
Dr. Luis A. Ruiz
Geo-Environmental Cartography and Remote Sensing Group (CGAT).
Universitat Politècnica de València. Spain

Manuscript Topics
AIMS Energy Journal Special Issue: Remote sensing and Geoinformation Technology to Explore and Predict Renewable Energy Potential

Submission or original papers in a broad range of research methods and applications are encouraged. Topics may include, but are not limited to:

• Optimizing exploration of energy sources and production
• Identifying hazards in exploration and prospection activities
• Geographic and ecological constraints for renewable energy development
• Remote sensing and/or GIS to determine optimal location of generating facilities
• Use of LiDAR and imagery for biomass/biofuel estimation
• Offshore wind power potential using scatterometers, RADAR systems, etc.
• Mapping thermal anomalies
• Sensors to characterize atmospheric reflectivity and turbidity
• Prediction of energy models from remotely sensed data and ground measurements
• Obtaining irradiance measurements from remote sensors
• Estimation of energy efficiency in buildings and urban areas
• Sensor fusion (optical, termal, RADAR and/or LiDAR) for energy applications
• Others

Paper submission
 All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is 31 March 2015.

Instruction for Authors

John Koutroumpas, Konstantinos Koutroumpas
AIMS Energy, 2015, 3(4): 505-524. doi: 10.3934/energy.2015.4.505
+ Abstract     + HTML     + PDF(8821 KB)
Mesude Bayrakci Boz, Kirby Calvert, Je rey R. S. Brownson
AIMS Energy, 2015, 3(3): 401-420. doi: 10.3934/energy.2015.3.401
+ Abstract     + HTML     + PDF(3252 KB)
Ana M. Martín, Javier Domínguez, Julio Amador
AIMS Energy, 2015, 3(3): 326-343. doi: 10.3934/energy.2015.3.326
+ Abstract     + HTML     + PDF(2013 KB)
Jin H. Jo, Zachary Rose, Jamie Cross, Evan Daebel, Andrew Verderber, John C. Kostelnick
AIMS Energy, 2015, 3(2): 173-183. doi: 10.3934/energy.2015.2.173
+ Abstract     + HTML     + PDF(1052 KB)
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