leaenguehard/HLS_LiDAR: HLS_LiDAR

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Léa Enguehard
DOI: 10.5281/zenodo.18620808
Cited by: 0

Abstract

This is a repository containing scripts used for a publication by Léa Enguehard et al., 2026. Exploring the potential of Harmonized Landsat-Sentinel-2 in predicting boreal forest structure from UAV-LiDAR data in Northwestern America. Enguehard, Léa; Kruse, Stefan; Hänsch, Ronny; Herzschuh, Ulrike; Panda, Santosh; Heim, Birgit. 2026

Fields of Study & Subjects

Remote Sensing and LiDAR Applications Remote Sensing in Agriculture 3D Surveying and Cultural Heritage

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN