Hyperspectral imaging in environmental monitoring: A review of recent developments and technological advances in compact field deployable systems
The development and uptake of field deployable hyperspectral imaging systems within
environmental monitoring represents an exciting and innovative development that could …
environmental monitoring represents an exciting and innovative development that could …
VIRS based detection in combination with machine learning for map** soil pollution
Widespread soil contamination threatens living standards and weakens global efforts
towards the Sustainable Development Goals (SDGs). Detailed soil map** is needed to …
towards the Sustainable Development Goals (SDGs). Detailed soil map** is needed to …
[HTML][HTML] Soil organic carbon and texture retrieving and map** using proximal, airborne and Sentinel-2 spectral imaging
Abstract Soil Organic Carbon (SOC) is a useful representative of soil fertility and an essential
parameter in controlling the dynamics of various agrochemicals in soil. Soil texture is also …
parameter in controlling the dynamics of various agrochemicals in soil. Soil texture is also …
Estimating the distribution trend of soil heavy metals in mining area from HyMap airborne hyperspectral imagery based on ensemble learning
The problem of heavy metal pollution of soils in China is severe. The traditional spectral
methods for soil heavy metal monitoring and assessment cannot meet the needs for large …
methods for soil heavy metal monitoring and assessment cannot meet the needs for large …
Comparing laboratory and airborne hyperspectral data for the estimation and map** of topsoil organic carbon: Feature selection coupled with random forest
Rapid monitoring of soil organic carbon (SOC) with fine sampling resolution is vital for
further understanding of the global carbon cycle and sustainable management of soil …
further understanding of the global carbon cycle and sustainable management of soil …
Exploring the potential of airborne hyperspectral image for estimating topsoil organic carbon: Effects of fractional-order derivative and optimal band combination …
Estimating soil organic carbon (SOC) in topsoil can help improve soil quality and food
production. This study aimed to explore the potential of airborne hyperspectral image to …
production. This study aimed to explore the potential of airborne hyperspectral image to …
A geospatial framework for the assessment and monitoring of environmental impacts of agriculture
The agriculture sector plays a critical role in global food security and economy, but it is also
among the greatest contributors to environmental degradation and global warming through …
among the greatest contributors to environmental degradation and global warming through …
Coupled retrieval of heavy metal nickel concentration in agricultural soil from spaceborne hyperspectral imagery
Y Sun, S Chen, X Dai, D Li, H Jiang, K Jia - Journal of Hazardous Materials, 2023 - Elsevier
Widespread soil contamination endangers public health and undermines global attempts to
achieve the United Nations Sustainable Development Goals. Due to the lack of relevant …
achieve the United Nations Sustainable Development Goals. Due to the lack of relevant …
Digital map** of soil organic carbon using remote sensing data: A systematic review
Soil organic carbon (SOC) has attracted a lot of attention in the soil science community.
Freely available remote sensing data combined with advanced digital soil map** (DSM) …
Freely available remote sensing data combined with advanced digital soil map** (DSM) …
Map** soil arsenic pollution at a brownfield site using satellite hyperspectral imagery and machine learning
X Jia, D Hou - Science of The Total Environment, 2023 - Elsevier
Heavy metal contamination is ubiquitous in brownfields. Traditional site investigation
employs geostatistical interpolation methods (GIMs) to predict the distribution of soil …
employs geostatistical interpolation methods (GIMs) to predict the distribution of soil …