Asymmetric impacts of diurnal warming on vegetation carbon sequestration of marshes in the Qinghai Tibet Plateau

X Shen, Y Liu, J Zhang, Y Wang, R Ma… - Global …, 2022 - Wiley Online Library
As the world's Third Pole, the Qinghai‐Tibet Plateau has a large area of marshes, which
plays an important role in global carbon cycle. The net primary productivity (NPP) of …

[HTML][HTML] Integration of machine learning and remote sensing for above ground biomass estimation through Landsat-9 and field data in temperate forests of the …

SA Anees, K Mehmood, WR Khan, M Sajjad… - Ecological …, 2024 - Elsevier
Accurately estimating aboveground biomass (AGB) in forest ecosystems facilitates efficient
resource management, carbon accounting, and conservation efforts. This study examines …

Effects of patterns of urban green-blue landscape on carbon sequestration using XGBoost-SHAP model

Y Yuan, W Guo, S Tang, J Zhang - Journal of Cleaner Production, 2024 - Elsevier
As the main carriers of urban carbon sequestration benefits, green and blue landscape
synergistically contribute to carbon sequestration and reduction. However, current research …

[HTML][HTML] The utility of Planetscope spectral data in quantifying above-ground carbon stock in an urban reforested landscape

C Matiza, O Mutanga, J Odindi, M Mngadi - Ecological Informatics, 2024 - Elsevier
Urbanization, deforestation, and forest degradation significantly contribute to atmospheric
carbon emissions and heightened climate change risks. Reforestation, a sustainable long …

Mapping soil organic carbon distribution across South Africa's major biomes using remote sensing-topo-climatic covariates and Concrete Autoencoder-Deep neural …

O Odebiri, O Mutanga, J Odindi, R Naicker - Science of The Total …, 2023 - Elsevier
The management of soil organic carbon (SOC) stocks remains at the forefront of greenhouse
gas mitigation. However, unprecedented anthropogenic disturbances emanating from …

A systematic review of remote sensing and machine learning approaches for accurate carbon storage estimation in natural forests

C Matiza, O Mutanga, K Peerbhay… - Southern Forests: a …, 2023 - Taylor & Francis
The assessment of carbon storage in natural forests is paramount in the ongoing efforts
against climate change. While traditional field-based methods for quantifying carbon storage …

Compatible Biomass Model with Measurement Error Using Airborne LiDAR Data

X Chen, D Xie, Z Zhang, RP Sharma, Q Chen, Q Liu… - Remote Sensing, 2023 - mdpi.com
Research on the inversion of forest aboveground biomass based on airborne light detection
and ranging (LiDAR) data focuses on finding the relationship between the two, such as …

A spatio-temporal neural network learning system for city-scale carbon storage capacity estimating

M Chao, W Maimai, L Hanzhang, C Zhibo… - IEEE …, 2023 - ieeexplore.ieee.org
Carbon storage capacity can be estimated to establish evaluation standards and statistics
for carbon neutrality. Existing estimation methods including machine learning system have …

Topographic and Climatic Factors Effect Spatiotemporal Coupling Relationship of Soil Water Conservation Function with Vegetation in Source of the Yellow River.

X Zhang, X Li, L Nian, A Samuel, X Liu… - Sustainability …, 2024 - search.ebscohost.com
Abstract The Gannan Water Conservation area is an indispensable part of the ecological
barrier on the Tibetan Plateau and is a key ecological area for the water supply. Exploring …

Quantifying carbon stock variability of species within a reforested urban landscape using texture measures derived from remotely sensed imagery

M Mngadi, J Odindi, O Mutanga - Advances in Remote Sensing …, 2022 - Wiley Online Library
Urban reforestation initiatives have been identified as valuable for ecosystem services
restoration, carbon sequestration, and climate change mitigation among other reasons …