Back to Search
Start Over
INVESTIGATING STANDARDIZED 3D INPUT DATA FOR SOLAR PHOTOVOLTAIC POTENTIALS IN THE NETHERLANDS
- Source :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B4-2020, Pp 639-646 (2020), The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: XXIV ISPRS Congress, XLIII-B4-2020, 639-646
- Publication Year :
- 2020
- Publisher :
- Copernicus GmbH, 2020.
-
Abstract
- This paper presents our contribution to the development of a standardized 3D input data model for solar photovoltaic potential estimation. Presently, different input data and processing steps influence the calculation for estimating the potential of solar energy in the Netherlands. The variety in characteristics of input data and issues with temporal accuracy extracted from the national registers and databases makes it challenging to obtain a consistent and reliable result. To address this issue, we created a point cloud dataset that integrated from LiDAR point cloud and dense image matching which is complete, recent and positionally accurate. Furthermore, we made a 3D building model from the integrated point cloud and identified the effect of finer resolution in the photovoltaic potential analysis.
- Subjects :
- 3D model
lcsh:Applied optics. Photonics
Computer science
0211 other engineering and technologies
Point cloud
02 engineering and technology
RANSAC
computer.software_genre
lcsh:Technology
point clouds
0202 electrical engineering, electronic engineering, information engineering
021101 geological & geomatics engineering
lcsh:T
business.industry
Photovoltaic system
lcsh:TA1501-1820
ICP algorithm
Solar energy
Data model
lcsh:TA1-2040
020201 artificial intelligence & image processing
Data mining
lcsh:Engineering (General). Civil engineering (General)
business
computer
Subjects
Details
- ISSN :
- 21949034
- Database :
- OpenAIRE
- Journal :
- The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Accession number :
- edsair.doi.dedup.....6955b297b635ec67c482a88b472eef9d
- Full Text :
- https://doi.org/10.5194/isprs-archives-xliii-b4-2020-639-2020