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Urban Vegetation Data - Canopy Height Model (Brussels Capital Region, 2021)

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/13869064
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Very-High Resolution Canopy Height Model (resolution : 25cm), distinguishing between 4 vegetation types (trees, high shrubs, low shrubs and grass) in the Brussels Capital Region. Coordinate system : Lambert_Belge_72. The CHM was built on : VHR aerial orthophotos (visible RGB and NIR) (“UrbIS-Ortho N-S, 2021”) for the Brussels Capital Region, of 5x5cm resolution  Source: Paradigm. (2021). UrbIS-Ortho N-S. Paradigm.Brussels. https://datastore.brussels/web/urbisdownload.  and; digital terrain models (DSM and DTM) of 50x50cm, captured on 22/09/2021. Paradigm.Brussels. Source: Paradigm. (2021). DSM / DTM. Paradigm.Brussels. https://datastore.brussels/web/urbisdownload. Both the orthophotos and digital terrain models were resampled to a 25x25cm resolution, using a bilinear interpolation method. The Canopy Height Model was then created by selecting NDVI values of 0.2 and higher, - a commonly used threshold value to distinguish vegetated land from built land (Hashim et al., 2019) -, and vegetation height thresholds of < 0.5m (for grass), 0.5 - 2m (for low shrubs), 2 - 5m (for high shrubs), and > 5m (for trees) (Derkzen et al., 2015; Sankey et al., 2018). Green roofs were excluded.The CHM raster was then converted to polygon features.  Classification : From 0 to 0.5 m (nDSM value) : gridcode 1 = grass From 0.5 to 2 m (nDSM value): gridcode 2 = low shrubs From 2 to 5 m (nDSM value): gridcode 3 = high shrubs From 5 to 113.96 m (nDSM value): gridcode 4 = trees
创建时间:
2025-03-03
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