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Data from: Mapping and exploring variation in post-fire vegetation recovery following mixed severity wildfire using airborne LiDAR
There is a public perception that large high severity wildfires decrease biodiversity and increase fire hazard by homogenising vegetation composition and increasing the cover of mid-story vegetation.
DataONE2017-03-21 更新40
Cloud top altitude retrieved from Lidar measurements during ACLOUD at 1 secon...
During the ACLOUD aircraft campaign (23.5.2017 - 26.6.2017) the AMALi Lidar was installed mostly nadir pointing. This dataset contains the cloud top altitude from those...
B2FIND10
City of Trees - Canopy Cover and Treelines of Manchester
Canopy cover of Manchester using LIDAR data from Manchester City of Trees. Includes treelines for areas of trees that cannot be measuring using LIDAR
Zenodo2021-04-04 更新00
Dataset for Shang et al. 2021: Pollen observations at four EARLINET stations ...
Lidar observations were analysed to characterize atmospheric pollen at four EARLINET (European Aerosol Research Lidar Network) stations (Hohenpeißenberg, Germany; Kuopio,...
B2FIND10
WP2 - Athens Campaign - NTUA / Level 3 - June 2023
June 2023 - Level 3 of the lidar data obtained by the EOLE and DEPOLE lidar systems in the National Technical University of Athens (NTUA), during the EURAMET European Partnership on Metrology (EPM) pr
Zenodo2025-12-02 更新00



