Remote sensing-based mangrove blue carbon assessment in the Asia-Pacific: A systematic review

AD Roy, PSP Arachchige, MS Watt, A Kale… - Science of the Total …, 2024 - Elsevier
Accurate measuring, mapping, and monitoring of mangrove forests support the sustainable
management of mangrove blue carbon in the Asia-Pacific. Remote sensing coupled with …

[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 …

Modelling aboveground biomass of a multistage managed forest through synergistic use of Landsat-OLI, ALOS-2 L-band SAR and GEDI metrics

H Padalia, A Prakash, T Watham - Ecological Informatics, 2023 - Elsevier
To better understand forest carbon budgets and design forest-based climate change
mitigation solutions, reliable biomass estimation is critical. Integrating multi-sensor remote …

Combining GEDI and sentinel data to estimate forest canopy mean height and aboveground biomass

Q Guo, S Du, J Jiang, W Guo, H Zhao, X Yan… - Ecological …, 2023 - Elsevier
Forest canopy mean height (CMH) and aboveground biomass (AGB) are key indicators for
evaluating forest ecosystem productivity. In this study, we proposed a new approach to …

[HTML][HTML] Aboveground biomass retrieval of wetland vegetation at the species level using UAV hyperspectral imagery and machine learning

W Zhuo, N Wu, R Shi, P Liu, C Zhang, X Fu, Y Cui - Ecological Indicators, 2024 - Elsevier
The aboveground biomass (AGB) of wetland vegetation is a crucial indicator for assessing
the health of wetland ecosystems. In the context of global biodiversity threats, biodiversity …

[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 …

[HTML][HTML] Optimising carbon fixation through agroforestry: Estimation of aboveground biomass using multi-sensor data synergy and machine learning

RK Singh, CM Biradar, MD Behera, AJ Prakash… - Ecological …, 2024 - Elsevier
As agricultural land expansion is the primary driver of deforestation, agroforestry could be an
optimal land use strategy for climate change mitigation and reducing pressure on forests …

[HTML][HTML] A comparative analysis of machine learning techniques for aboveground biomass estimation: A case study of the Western Ghats, India

K Ayushi, KN Babu, N Ayyappan, JR Nair… - Ecological …, 2024 - Elsevier
Accurate assessment of aboveground biomass (AGB) in tropical forests, particularly within a
biodiversity hotspot, is vital for sustainable resource management and the preservation of …

Ormancılıkta makine öğrenmesi kullanımı

R Eker, KC Alkiş, Z Uçar, A Aydın - Turkish Journal of Forestry, 2023 - dergipark.org.tr
Gelişen teknolojiyle beraber diğer disiplinlerde olduğu gibi ormancılıkta da geleneksel
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …

Improving the Potential of Coniferous Forest Aboveground Biomass Estimation by Integrating C-and L-Band SAR Data with Feature Selection and Non-Parametric …

Y Hu, Y Nie, Z Liu, G Wu, W Fan - Remote Sensing, 2023 - mdpi.com
Forests play a significant role in terrestrial ecosystems by sequestering carbon, and forest
biomass is a crucial indicator of carbon storage potential. However, the single-frequency …