Prediction of soil organic carbon and the C: N ratio on a national scale using machine learning and satellite data: A comparison between Sentinel-2, Sentinel-3 and …

T Zhou, Y Geng, C Ji, X Xu, H Wang, J Pan… - Science of the Total …, 2021 - Elsevier
Soil organic carbon (SOC) and soil carbon-to-nitrogen ratio (C: N) are the main indicators of
soil quality and health and play an important role in maintaining soil quality. Together with …

[HTML][HTML] Leaf area index estimation algorithm for GF-5 hyperspectral data based on different feature selection and machine learning methods

Z Chen, K Jia, C Xiao, D Wei, X Zhao, J Lan, X Wei… - Remote Sensing, 2020 - mdpi.com
Leaf area index (LAI) is an essential vegetation parameter that represents the light energy
utilization and vegetation canopy structure. As the only in-operation hyperspectral satellite …

[HTML][HTML] Impact and prediction of pollutant on mangrove and carbon stocks: A machine learning study based on urban remote sensing data

M Xu, C Sun, Y Zhan, Y Liu - Geoscience Frontiers, 2024 - Elsevier
Mangrove ecosystems have important ecological and economic values, especially their
ability to store carbon. However, in recent years, human disturbance has accelerated …

Evaluation of Landsat 8 image pansharpening in estimating soil organic matter using multiple linear regression and artificial neural networks

A Bouasria, K Ibno Namr, A Rahimi… - Geo-spatial …, 2022 - Taylor & Francis
In agricultural systems, the regular monitoring of Soil Organic Matter (SOM) dynamics is
essential. This task is costly and time-consuming when using the conventional method …

[HTML][HTML] Unraveling the Influence of Land-Use Change on δ13C, δ15N, and Soil Nutritional Status in Coniferous, Broadleaved, and Mixed Forests in Southern China …

TH Farooq, X Chen, A Shakoor, Y Li, J Wang… - Plants, 2021 - mdpi.com
Natural isotopic abundance in soil and foliar can provide integrated information related to
the long-term alterations of carbon (C) and nitrogen (N) cycles in forest ecosystems. We …

[HTML][HTML] The role of remote sensing in tropical grassland nutrient estimation: a review

AM Arogoundade, O Mutanga, J Odindi… - Environmental Monitoring …, 2023 - Springer
The carbon (C) and nitrogen (N) ratio is a key indicator of nutrient utilization and limitations
in rangelands. To understand the distribution of herbivores and grazing patterns, information …

[HTML][HTML] Review of Invasive Plant Functional Traits and Management Using Remote Sensing in Sub-Saharan Africa

F Ojija, F Petruzzellis, G Bacaro - International Journal of Plant Biology, 2024 - mdpi.com
Biodiversity and sustainable development in Sub-Saharan Africa (SSA) are considerably
impacted by invasive alien plants (IAPs). Increasing plant invasions in SSA threaten …

Estimating the total nitrogen content of Aquilaria sinensis leaves based on a hybrid feature selection algorithm and image data from a modified digital camera

Z Chen, X Wang, S Sun - Biosystems Engineering, 2022 - Elsevier
With the development of imaging devices and image processing algorithms, numerous
features have come to be used for the estimation of total nitrogen content (TNC) in plants …

[HTML][HTML] High-resolution mapping of soil carbon stocks in the western Amazon

CM Moquedace, CGO Baldi, RG Siqueira… - Geoderma …, 2024 - Elsevier
Global soil carbon maps are essential to understanding the global carbon cycle and
supporting policy decisions, but their uncertainty in remote areas with limited data remains a …

Fusion of PlanetScope and Sentinel 2 in assessing foliar C: N ratio in a rangeland

AM Arogoundade, O Mutanga… - Journal of Spatial Science, 2024 - Taylor & Francis
The efficient monitoring of foliar nutrient such as the C: N ratio is important for sustainable
rangeland productivity. Recent advances in Earth observation technology provide …