A survey of computer vision techniques for forest characterization and carbon monitoring tasks

S Illarionova, D Shadrin, P Tregubova, V Ignatiev… - Remote Sensing, 2022 - mdpi.com
Estimation of terrestrial carbon balance is one of the key tasks in the understanding and
prognosis of climate change impacts and the development of tools and policies according to …

[HTML][HTML] Estimating and mapping forest age across Canada's forested ecosystems

JC Maltman, T Hermosilla, MA Wulder… - Remote Sensing of …, 2023 - Elsevier
Forest age is an important variable for assessments of biodiversity and habitat, sustainable
forest and land management, as well as forest carbon science and modeling. Tree and …

[HTML][HTML] Construction and optimization of the Saihanba ecological network

J Kang, Y Qing, W Lu - Ecological Indicators, 2023 - Elsevier
Since its establishment, the ecosystem of the Saihanba Mechanical Forest Farm has begun
to be restored. The extraction of ecological corridors and identification of ecological nodes …

An algorithm of forest age estimation based on the forest disturbance and recovery detection

Z Huang, X Li, H Du, W Zou, G Zhou… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Forest age is a crucial parameter for evaluating the state and potential of carbon
sequestration in forest ecosystems. However, the lack of a time-series forest age will lead to …

Mapping planted forest age using LandTrendr algorithm and Landsat 5–8 on the Loess Plateau, China

P Li, H Li, B Si, T Zhou, C Zhang, M Li - Agricultural and Forest Meteorology, 2024 - Elsevier
Forest age is a key parameter for understanding the water and carbon cycles and carbon
sequestration potential of planted forest ecosystems. However, estimating forest age on a …

How spatial resolution affects forest phenology and tree-species classification based on satellite and up-scaled time-series images

K Xu, Z Zhang, W Yu, P Zhao, J Yue, Y Deng, J Geng - Remote Sensing, 2021 - mdpi.com
The distribution of forest tree species provides crucial data for regional forest management
and ecological research. Although medium-high spatial resolution remote sensing images …

Mapping the age of subtropical secondary forest using dense landsat time series data: an ensemble model

S Zhang, J Yu, H Xu, S Qi, J Luo, S Huang, K Liao… - Remote Sensing, 2023 - mdpi.com
Quantifying secondary forest age (SFA) is essential to evaluate the carbon processes of
forest ecosystems at regional and global scales. However, the successional stages of …

Canopy-Height and Stand-Age Estimation in Northeast China at Sub-Compartment Level Using Multi-Resource Remote Sensing Data

X Guan, X Yang, Y Yu, Y Pan, H Dong, T Yang - Remote Sensing, 2023 - mdpi.com
Stand age is a significant factor when investigating forest resource management. How to
obtain age data at a sub-compartment level on a large regional scale conveniently and in …

Simple ecological indicators benchmark regeneration success of Amazonian forests

AL Giles, J Schietti, MF Rosenfield… - … Earth & Environment, 2024 - nature.com
Natural regeneration of Amazon forests offers a promising strategy to mitigate forest loss and
advance the goals of the UN Decade on Ecosystem Restoration. However, the vast …

The road to operationalization of effective tropical forest monitoring systems

C Portillo-Quintero, JL Hernández-Stefanoni… - Remote Sensing, 2021 - mdpi.com
The urgency to preserve tropical forest remnants has encouraged the development of
remote sensing tools and techniques to monitor diverse forest attributes for management …