Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Carbon sinks in urban public green spaces under carbon neutrality: A bibliometric analysis and systematic literature review
D Zhao, J Cai, Y Xu, Y Liu, M Yao - Urban Forestry & Urban Greening, 2023 - Elsevier
Urban green spaces play essential roles in regulating the global carbon cycle and reducing
carbon dioxide (CO 2) emissions. However, research on the carbon sequestration efficiency …
carbon dioxide (CO 2) emissions. However, research on the carbon sequestration efficiency …
[HTML][HTML] Advances in Earth observation and machine learning for quantifying blue carbon
Blue carbon ecosystems (mangroves, seagrasses and saltmarshes) are highly productive
coastal habitats, and are considered some of the most carbon-dense ecosystems on Earth …
coastal habitats, and are considered some of the most carbon-dense ecosystems on Earth …
Aboveground mangrove biomass estimation in Beibu Gulf using machine learning and UAV remote sensing
On the basis of canopy height variables, vegetation index, texture index, and laser point
cloud index measured with unmanned aerial vehicle (UAV) low altitude remote sensing, we …
cloud index measured with unmanned aerial vehicle (UAV) low altitude remote sensing, we …
[HTML][HTML] Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta …
Groundwater salinization is considered as a major environmental problem in worldwide
coastal areas, influencing ecosystems and human health. However, an accurate prediction …
coastal areas, influencing ecosystems and human health. However, an accurate prediction …
Evaluation of machine learning methods and multi-source remote sensing data combinations to construct forest above-ground biomass models
Rapid and accurate estimation of forest biomass are essential to drive sustainable
management of forests. Field-based measurements of forest above-ground biomass (AGB) …
management of forests. Field-based measurements of forest above-ground biomass (AGB) …
[HTML][HTML] Comparison of machine learning methods for estimating mangrove above-ground biomass using multiple source remote sensing data in the red river delta …
[HTML][HTML] Aboveground biomass of typical invasive mangroves and its distribution patterns using UAV-LiDAR data in a subtropical estuary: Maoling River estuary …
Quantitative assessment of aboveground biomass (AGB) and spatial distribution pattern of
exotic mangrove plants (Sonneratia apetala) is of great significance for blue carbon …
exotic mangrove plants (Sonneratia apetala) is of great significance for blue carbon …
[HTML][HTML] DiluviumDEM: Enhanced accuracy in global coastal digital elevation models
D Dusseau, Z Zobel, CR Schwalm - Remote Sensing of Environment, 2023 - Elsevier
Accurate representation of global coastal topography is essential for numerous scientific
disciplines, coastal management, and disaster risk assessment. Even with recent …
disciplines, coastal management, and disaster risk assessment. Even with recent …
Improvement of mangrove soil carbon stocks estimation in North Vietnam using Sentinel-2 data and machine learning approach
Quantifying total carbon (TC) stocks in soil across various mangrove ecosystems is key to
understanding the global carbon cycle to reduce greenhouse gas emissions. Estimating …
understanding the global carbon cycle to reduce greenhouse gas emissions. Estimating …