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D4.6 Example of Jupyter Notebook for LiDAR- or drone-derived habitat condition metrics

Year: 2026

Type: preprint

Abstract: This document illustrates several examples of deploying a workflow (with Jupyter Notebooks) on a compute cluster for deriving a consistent set of habitat condition metrics from LiDAR for EU habitat monitoring.

DOI: 10.3897/arphapreprints.e212264

Authors: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi

Institution: University of Amsterdam

Language: English

Topic: Remote Sensing and LiDAR Applications

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: gold

Funders: Netherlands eScience Center, European Commission

Award: Modern Approaches to the Monitoring of BiOdiversity

OpenAlex ID: W7203770781

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