| Issue |
E3S Web Conf.
Volume 478, 2024
6th International Conference on Green Energy and Sustainable Development (GESD 2023)
|
|
|---|---|---|
| Article Number | 01003 | |
| Number of page(s) | 4 | |
| DOI | https://doi.org/10.1051/e3sconf/202447801003 | |
| Published online | 16 January 2024 | |
Research on the Assessment Technology of Land Available for PV
1 State Grid Hebei Economic Research Institute, HeBei, 050000, China
2 State Grid Shijiazhuang Electric Power Supply Company, HeBei, 050000, China
Based on the high-resolution satellite image data, the information mining technology of the available surface elements of PV is studied, and the investigation of the available surface elements of PV in 98 counties and cities of South Hebei grid is realized. Based on the large-scale and high-resolution remote sensing data obtained by multi-source remote sensing data fusion technology, the depth-learning-based surface feature recognition technology for photovoltaic development is studied. Based on the method of automatic identification and artificial combination of depth-learning, it can identify the available ground elements (roof, water surface, road surface, dry beach, etc.), the available surface elements of PV in 98 counties and cities of Hebei South Grid were obtained. From the overall point of view, the photovoltaic land, the building occupies the main position, in the four cities are relatively high, are in the 6% ~ 15%
Key words: Photovoltaic / Land type / Assessment of land resources
© The Authors, published by EDP Sciences, 2024
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