Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)

Z Hao, L Lin, CJ Post, EA Mikhailova, M Li… - ISPRS Journal of …, 2021 - Elsevier
Tree-crown and height are primary tree measurements in forest inventory. Convolutional
neural networks (CNNs) are a class of neural networks, which can be used in forest …

Reducing model uncertainty of climate change impacts on high latitude carbon assimilation

A Rogers, SP Serbin, DA Way - Global Change Biology, 2022 - Wiley Online Library
Abstract The Arctic–Boreal Region (ABR) has a large impact on global vegetation–
atmosphere interactions and is experiencing markedly greater warming than the rest of the …

Remote sensing from unoccupied aerial systems: Opportunities to enhance Arctic plant ecology in a changing climate

D Yang, BD Morrison, KJ Davidson, J Lamour… - Journal of …, 2022 - Wiley Online Library
The Arctic is warming at a faster rate than any other biome on Earth, resulting in widespread
changes in vegetation composition, structure and function that have important feedbacks to …

[HTML][HTML] An automated, high-performance approach for detecting and characterizing broccoli based on UAV remote-sensing and transformers: A case study from …

C Zhou, H Ye, D Sun, J Yue, G Yang, J Hu - International Journal of Applied …, 2022 - Elsevier
Accurate canopy mapping and head-volume estimation of large areas of broccoli is an
important prerequisite for precision farming since it provides important phenotypic traits …

[HTML][HTML] Biomass and vegetation coverage survey in the Mu Us sandy land-based on unmanned aerial vehicle RGB images

Z Guo, T Wang, S Liu, W Kang, X Chen, K Feng… - International Journal of …, 2021 - Elsevier
Accurate detection of vegetation cover and biomass of shrub communities in sandy area is
beneficial for evaluating ecosystem, improving remote sensing models, and assessing the …

Aboveground biomass corresponds strongly with drone-derived canopy height but weakly with greenness (NDVI) in a shrub tundra landscape

AM Cunliffe, JJ Assmann, GN Daskalova… - Environmental …, 2020 - iopscience.iop.org
Arctic landscapes are changing rapidly in response to warming, but future predictions are
hindered by difficulties in scaling ecological relationships from plots to biomes. Unmanned …

Plant functional type aboveground biomass change within Alaska and northwest Canada mapped using a 35-year satellite time series from 1985 to 2020

KM Orndahl, MJ Macander, LT Berner… - Environmental …, 2022 - iopscience.iop.org
Abstract Changes in vegetation distribution are underway in Arctic and boreal regions due to
climate warming and associated fire disturbance. These changes have wide ranging …

A multi-sensor unoccupied aerial system improves characterization of vegetation composition and canopy properties in the Arctic tundra

D Yang, R Meng, BD Morrison, A McMahon… - Remote Sensing, 2020 - mdpi.com
Changes in vegetation distribution, structure, and function can modify the canopy properties
of terrestrial ecosystems, with potential consequences for regional and global climate …

[HTML][HTML] Pre-fire aboveground biomass, estimated from LiDAR, spectral and field inventory data, as a major driver of burn severity in maritime pine (Pinus pinaster) …

JM Fernández-Guisuraga, S Suárez-Seoane… - Forest Ecosystems, 2022 - Elsevier
Background The characterization of surface and canopy fuel loadings in fire-prone pine
ecosystems is critical for understanding fire behavior and anticipating the most harmful …

Global application of an unoccupied aerial vehicle photogrammetry protocol for predicting aboveground biomass in non‐forest ecosystems

AM Cunliffe, K Anderson, F Boschetti… - Remote Sensing in …, 2022 - Wiley Online Library
Non‐forest ecosystems, dominated by shrubs, grasses and herbaceous plants, provide
ecosystem services including carbon sequestration and forage for grazing, and are highly …