Parking2PV Hesse
收藏DataCite Commons2025-04-07 更新2025-04-16 收录
下载链接:
https://radar.kit.edu/radar/en/dataset/tvn5vujqfvf99f32
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资源简介:
This dataset provides a geospatial classification of large parking lots (greater than 900 m²) in the federal state of Hesse, Germany, evaluating their suitability for photovoltaic (PV) installations.
The parking lot geometries were derived from two authoritative and open sources: the Authoritative Topographic-Cartographic Information System (ATKIS) and OpenStreetMap (OSM). Duplicates were removed, and the geometries were trimmed to match the boundaries of Hesse. Parking lots smaller than 900 m² were excluded to align with current policy guidelines and technical feasibility thresholds for PV canopy installations.
Each parking lot was classified into one of two categories employing machine learning. Class 0 indicates parking lots unsuitable for PV, while Class 1 designates those suitable for PV installations. The classification utilized an XGBoost model trained on more than 1,000 manually labeled parking lots using various input features.
提供机构:
Karlsruhe Institute of Technology
创建时间:
2025-04-07



