Jinhu Wang
SEEK ID: https://workflowhub.eu/people/786
Locations:
Not specified
, 
Netherlands
ORCID: Not specified
Joined: 2nd Jul 2024
Expertise: Not specified
Tools: Not specified
Roles
Team Administrator
Their tagsRelated items
Teams: Laserfarm applications to European demonstration sites
Web page: Not specified
A space managed by WorkflowHub administrators for teams that don't want/need to manage their own space.
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Web page: Not specified
Examples of applying the Laserfarm workflow to calculate LiDAR vegetation metrics across European demonstration sites
Space: EcoLiDAR - ecological applications of LiDAR point clouds
Public web page: https://laserfarm.readthedocs.io/en/latest/
We will demonstrate the workflows and applications that we developed using LiDAR data.
Space: Independent Teams
Public web page: Not specified
Country: Not specified
City: Not specified
Web page: Not specified
This public data repository (https://public.spider.surfsara.nl/project/lidarac/MAMBO/) provides the LiDAR point cloud datasets which were clipped using the boundary polygons (shapefiles) of the MAMBO demonstration sites. The raw LiDAR point cloud tiles were first downloaded from the national repository in the respective country based on the approximate location of each demonstration site. The data repository uses the storage services from the Dutch IT infrastructure SURF (https://www.surf.nl/en). ...
Creators: W. Daniel Kissling, Jinhu Wang
Submitter: W. Daniel Kissling
External Link
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 7.95 km2 large Salisbury Plain in the United Kingdom (1.866189 W, 51.220814 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 54 km2 large Oostvaardersplassen in the Netherlands (5.418842 E, 52.456870 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 0.08 km2 large Monks Wood in the United Kingdom (10.478393 E, 56.289050 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 1.29 km2 large Mols Bjerge National Park in Denmark (10.478393 E, 56.289050 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 5.55 km2 large Knepp Estate in the United Kingdom (0.3758 W, 50.969859 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 3.5 km2 large island of Comino in Malta (36.0113 E, 14.3362 N). The work has been performed in the context of the EU project MAMBO (Modern Approaches to the Monitoring of Biоdiversity, ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Laserfarm (https://doi.org/10.1016/j.ecoinf.2022.101836) is a high-throughput workflow for generating geospatial data products of ecosystem structure using LiDAR point clouds from national or regional airborne laser scanning (ALS) surveys. The workflow example here shows the application of the Laserfarm workflow to the 7.5 km2 large Reserve Naturelle Nationale du Bagnas ('Bagnas') in France (3.514360 E, 43.314332 N). The work has been performed in the context of the EU project MAMBO (Modern ...
Type: Jupyter
Creators: W. Daniel Kissling, Wessel Mulder, Jinhu Wang, Yifang Shi
Submitter: W. Daniel Kissling
Point-based Individual Tree Delineation from 3D LiDAR Point Cloud Data.
This module implements a lightweight and easy-to-use Point-based method for individual tree delineation from 3D point cloud data using pure C/C++.
The source code files are included in folder [TreeSeparation], which consists of a project generated from Visual Studio 2015. The CLASS for tree separation is named "FoxTree" and can be found in the respect FoxTree.h and FoxTree.cpp files.
Inupt
The ...
