Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?

J Streich, J Romero, JGFM Gazolla, D Kainer… - Current opinion in …, 2020 - Elsevier
Highlights•Plant population-scale multi-omics research is key to developing sustainable
agriculture.•Explainable artificial intelligence is increasingly applied to advance multi-omics …

[HTML][HTML] Towards low vegetation identification: A new method for tree crown segmentation from LiDAR data based on a symmetrical structure detection algorithm (SSD …

L Huo, E Lindberg, J Holmgren - Remote Sensing of Environment, 2022 - Elsevier
Obtaining low vegetation data is important in order to quantify the structural characteristics of
a forest. Dense three-dimensional (3D) laser scanning data can provide information on the …

A remote sensing derived data set of 100 million individual tree crowns for the National Ecological Observatory Network

BG Weinstein, S Marconi, SA Bohlman, A Zare, A Singh… - Elife, 2021 - elifesciences.org
Forests provide biodiversity, ecosystem, and economic services. Information on individual
trees is important for understanding forest ecosystems but obtaining individual-level data at …

[HTML][HTML] Benchmarking airborne laser scanning tree segmentation algorithms in broadleaf forests shows high accuracy only for canopy trees

Y Cao, JGC Ball, DA Coomes, L Steinmeier… - International Journal of …, 2023 - Elsevier
Individual tree segmentation from airborne laser scanning data is a longstanding and
important challenge in forest remote sensing. Tree segmentation algorithms are widely …

Individual tree-crown detection and species classification in very high-resolution remote sensing imagery using a deep learning ensemble model

AI Pleșoianu, MS Stupariu, I Șandric, I Pătru-Stupariu… - Remote Sensing, 2020 - mdpi.com
Traditional methods for individual tree-crown (ITC) detection (image classification,
segmentation, template matching, etc.) applied to very high-resolution remote sensing …

Adjudicating perspectives on forest structure: how do airborne, terrestrial, and mobile lidar-derived estimates compare?

JJ Donager, AJ Sánchez Meador, RC Blackburn - Remote Sensing, 2021 - mdpi.com
Applications of lidar in ecosystem conservation and management continue to expand as
technology has rapidly evolved. An accounting of relative accuracy and errors among lidar …

Monocular depth estimation with improved long-range accuracy for UAV environment perception

VC Miclea, S Nedevschi - IEEE Transactions on Geoscience …, 2021 - ieeexplore.ieee.org
Environment perception by computing the depth is a key task for unmanned aerial vehicle
(UAV) type systems. Due to the limited load they can carry, most drones are equipped with a …

A benchmark dataset for canopy crown detection and delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological …

BG Weinstein, SJ Graves, S Marconi… - PLoS computational …, 2021 - journals.plos.org
Broad scale remote sensing promises to build forest inventories at unprecedented scales. A
crucial step in this process is to associate sensor data into individual crowns. While dozens …

Individual tree segmentation of airborne and UAV LiDAR point clouds based on the watershed and optimized connection center evolution clustering

Y Li, D Xie, Y Wang, S Jin, K Zhou, Z Zhang… - Ecology and …, 2023 - Wiley Online Library
Light detection and ranging (LiDAR) data can provide 3D structural information of objects
and are ideal for extracting individual tree parameters, and individual tree segmentation …

Tree species traits determine the success of LiDAR-based crown mapping in a mixed temperate forest

JH Hastings, SV Ollinger, AP Ouimette… - Remote Sensing, 2020 - mdpi.com
The ability to automatically delineate individual tree crowns using remote sensing data
opens the possibility to collect detailed tree information over large geographic regions …