<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Datasets of SH's AI4ER MRes Project

Research datakeyboard_double_arrow_right Dataset 09 Jul 2021 English Publisher:ZenodoFunded by:UKRI | A 3D perspective on the e..., UKRI | UKRI Centre for Doctoral ...

Authors: Hickman, Sebastian; Jackson, Toby;

doi: 10.5281/zenodo.5515408 , 10.5281/zenodo.5090039 , 10.5281/zenodo.5416484 , 10.5281/zenodo.5494629 , 10.5281/zenodo.5090038

Datasets of SH's AI4ER MRes Project

- Summary
- Subjects
- Metrics

Abstract

This dataset contains the data used a generated during the course of SH's AI4ER MRes project. The dataset consists of LiDAR and RGB data over Sepilok Forest Reserve, in Sabah, Malaysia, collected and processed by NERC and NEODAAS, along with 901 manually delineated tree crowns in the area, and tree crown delineations predicted by two models: a Mask R-CNN model developed by SH, and the ITCfast algorithm, developed by Tom Swinfield and optimised by SH. LiDAR data is given for two years, 2014 and 2020, which was used to calculate changes in the carbon stock of the forest. The LiDAR and RGB data are provided as tiffs, while tree crowns are provided as shapefiles.

Related Organizations

University of Cambridge
United Kingdom

Keywords

Tropical forests, tree crowns, deep learning, LiDAR, RGB imagery, tall trees

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average