Data from Classifying wetland‐related land cover types and habitats using fine‐scale lidar metrics derived from country‐wide Airborne Laser Scanning
| Main Authors: | Zsófia Koma, Arie C. Seijmonsbergen, W. Daniel Kissling |
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| Format: | info dataset Journal |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3865914 |
Daftar Isi:
- This data repository contains the processed lidar metrics for characterizing the habitat structure for classifying main land cover and habitat types in the Lauwersmeer area in the northern part of the Netherlands in the province of Groningen (5754 ha). The lidar metrics were derived from Airborne Laser Scanning (ALS) data using the Actueel Hoogtebestand Nederland 2 (AHN2) openly available dataset from https://www.pdok.nl/. The derived lidar metrics saved in *.grd file format and contain 32 bands. Each band represents a lidar metric and the water surface was masked out in the dataset. The *l1* in the file name indicates that the file was used for level 1 (wetland) classification and *l23* used for level 2 (land cover types within wetland) and level 3 (reedbed habitats) classification. The lidar metrics were calculated using lidR (https://github.com/Jean-Romain/lidR) software package. Further details related to the lidar metrics extraction can be found at https://github.com/eEcoLiDAR/PhDPaper1_Classifying_wetland_habitats Github repository.
- This dataset is part of the project "eScience infrastructure for Ecological applications of lidar point clouds" (eEcoLiDAR) funded by the Netherlands eScience Center (https://www.esciencecenter.nl), grant number ASDI.2016.014.