[HTML][HTML] Forest aboveground biomass estimation and map** through high-resolution optical satellite imagery—A literature review

A Ahmad, H Gilani, SR Ahmad - Forests, 2021 - mdpi.com
This paper provides a comprehensive literature review on forest aboveground biomass
(AGB) estimation and map** through high-resolution optical satellite imagery (≤ 5 m …

Terrestrial carbon cycle: tip** edge of climate change between the atmosphere and biosphere ecosystems

M Hari, B Tyagi - Environmental Science: Atmospheres, 2022 - pubs.rsc.org
Owing to its tendency to couple with multiple elements, carbon forms complex molecules,
which is the basic chemistry of life. Given that the climate system is inextricably coupled with …

Reappraisal of SMAP inversion algorithms for soil moisture and vegetation optical depth

L Gao, A Ebtehaj, MJ Chaubell, M Sadeghi, X Li… - Remote Sensing of …, 2021 - Elsevier
Abstract NASA's Soil Moisture Active Passive (SMAP) satellite mission has been providing
high-quality global estimates of soil moisture (SM) and vegetation optical depth (VOD) using …

[HTML][HTML] Map** aboveground biomass of Moso bamboo (Phyllostachys pubescens) forests under Pantana phyllostachysae Chao-induced stress using Sentinel-2 …

L Chen, A He, Z Xu, B Li, H Zhang, G Li, X Guo, Z Li - Ecological Indicators, 2024 - Elsevier
Moso bamboo (Phyllostachys pubescens) stands as a pivotal economic bamboo species
globally, holding substantial potential for carbon sequestration. Accurate estimation of …

Estimation of bamboo forest aboveground carbon using the RGLM model based on object-based multiscale segmentation of SPOT-6 imagery

Y Lv, N Han, H Du - Remote Sensing, 2023 - mdpi.com
Remote sensing is an important tool for the quantitative estimation of forest carbon stock.
This study presents a multiscale, object-based method for the estimation of aboveground …

Geospatially map** carbon stock for mountainous forest classes using InVEST model and Sentinel-2 data: a case of Bagrote valley in the Karakoram range

M Imran, N Din - Arabian Journal of Geosciences, 2021 - Springer
Geospatially assessing carbon storage is an emerging field inland science and landscape
ecology, particularly in the context of the provision of ecosystem services such as global …

[HTML][HTML] Quantification of above-ground biomass over the cross-river state, Nigeria, using sentinel-2 data

UA Amuyou, Y Wang, BF Ebuta, CJ Iheaturu… - Remote Sensing, 2022 - mdpi.com
Higher-resolution wall-to-wall carbon monitoring in tropical Africa across a range of
woodland types is necessary in reducing uncertainty in the global carbon budget and …

Unlocking the potential of hyperspectral and LiDAR for above-ground biomass (AGB) and tree species classification in tropical forests

NAF Nik Effendi, NA Mohd Zaki, Z Abd Latif… - Geocarto …, 2022 - Taylor & Francis
Tree species classification using a combination of airborne hyperspectral and Light
Detection and Ranging (LiDAR) can provide valuable and effective methods for forest …

Combination of hyperspectral and LiDAR for aboveground biomass estimation using machine learning

NAF Nik Effendi, NA Mohd Zaki, Z Abd Latif… - Transactions in …, 2024 - Wiley Online Library
The increase in greenhouse gases in the atmosphere is due to carbon dioxide (CO2), which
has affected climate change. Therefore, the forest plays an essential role in carbon storage …