Tree species classification from complex laser scanning data in Mediterranean forests using deep learning

MJ Allen, SWD Grieve, HJF Owen… - Methods in Ecology …, 2023 - Wiley Online Library
Recent advances in terrestrial laser scanning (TLS) technology have enabled the automatic
capture of three‐dimensional vegetation structure at high resolution, but the scalability of …

LIDAR-Based Forest Biomass Remote Sensing: A Review of Metrics, Methods, and Assessment Criteria for the Selection of Allometric Equations

AA Borsah, M Nazeer, MS Wong - Forests, 2023 - mdpi.com
The increasing level of atmospheric carbon dioxide and its effects on our climate system has
become a global environment issue. The forest ecosystem is essential for the stability of …

Trend of studies on carbon sequestration dynamics in the Himalaya hotspot region: A review

D Tolangay, S Moktan - Journal of Applied and Natural …, 2020 - journals.ansfoundation.org
The present communication deals with the carbon dynamics in the Himalaya hotspot region.
The Himalaya, a mountain range shared by Pakistan, India, Nepal, Bhutan and Myanmar, is …

Contributions of urban green spaces for climate change mitigation and biodiversity conservation in Dessie city, Northeastern Ethiopia

MG Muluneh, BB Worku - Urban Climate, 2022 - Elsevier
Scientific studies about the role of urban green spaces (UGSs) in biodiversity conservation
and climate change mitigation are limited in develo** countries. Therefore, the aim of this …

A new synergistic approach for Sentinel-1 and PALSAR-2 in a machine learning framework to predict aboveground biomass of a dense mangrove forest

AJ Prakash, MD Behera, SM Ghosh, A Das… - Ecological …, 2022 - Elsevier
Mangroves are well-recognized for their very high carbon sequestration potential. However,
studies on their role in global carbon cycling and climate change are hindered due to lack of …

[HTML][HTML] Estimation of above ground biomass in tropical heterogeneous forests in India using GEDI

I Indirabai, M Nilsson - Ecological Informatics, 2024 - Elsevier
Quantifying above ground biomass (AGB) and its spatial distribution can significantly
contribute to monitor carbon stocks as well as the carbon storage dynamics in forests. For …

Allometric models for predicting aboveground biomass of trees in the dry afromontane forests of Northern Ethiopia

BA Tetemke, E Birhane, MM Rannestad, T Eid - Forests, 2019 - mdpi.com
Dry Afromontane forests form the largest part of the existing natural vegetation in Ethiopia.
Nevertheless, models for quantifying aboveground tree biomass (AGB) of these forests are …

[HTML][HTML] Tree allometric equations for estimating biomass and volume of Ethiopian forests and establishing a database

H Sebrala, A Abich, M Negash, Z Asrat… - Trees, Forests and People, 2022 - Elsevier
Biomass measurements are central to understanding and monitoring carbon stocks in the
forests. They also assists in assessing the growing stock of a species and biomass energy …

Species diversity, biomass and carbon stock assessment of Kanhlyashay Natural Mangrove Forest

WN Aye, X Tong, AW Tun - Forests, 2022 - mdpi.com
Mangrove ecosystems sequester and store large amounts of carbon in both biomass and
soil. In this study, species diversity, the above and below-ground biomass as well as carbon …

Aboveground tree biomass prediction options for the Dry Afromontane forests in south-central Ethiopia

Z Asrat, T Eid, T Gobakken, M Negash - Forest Ecology and Management, 2020 - Elsevier
Biomass of trees may be predicted either directly applying allometric models or indirectly
from volume and biomass expansion factors (BEFs). For the Dry Afromontane forests, the …