Digital map** of GlobalSoilMap soil properties at a broad scale: A review

S Chen, D Arrouays, VL Mulder, L Poggio, B Minasny… - Geoderma, 2022 - Elsevier
Soils are essential for supporting food production and providing ecosystem services but are
under pressure due to population growth, higher food demand, and land use competition …

[HTML][HTML] Remote sensing of soil degradation: Progress and perspective

J Wang, J Zhen, W Hu, S Chen, I Lizaga… - International Soil and …, 2023 - Elsevier
Soils constitute one of the most critical natural resources and maintaining their health is vital
for agricultural development and ecological sustainability, providing many essential …

[HTML][HTML] SoilGrids 2.0: producing soil information for the globe with quantified spatial uncertainty

L Poggio, LM De Sousa, NH Batjes, GBM Heuvelink… - Soil, 2021 - soil.copernicus.org
SoilGrids produces maps of soil properties for the entire globe at medium spatial resolution
(250 m cell size) using state-of-the-art machine learning methods to generate the necessary …

[HTML][HTML] Map** high resolution national soil information grids of China

F Liu, H Wu, Y Zhao, D Li, JL Yang, X Song, Z Shi… - Science Bulletin, 2022 - Elsevier
Soil spatial information has traditionally been presented as polygon maps at coarse scales.
Solving global and local issues, including food security, water regulation, land degradation …

[HTML][HTML] A compilation of UAV applications for precision agriculture

P Radoglou-Grammatikis, P Sarigiannidis, T Lagkas… - Computer Networks, 2020 - Elsevier
Climate change has introduced significant challenges that can affect multiple sectors,
including the agricultural one. In particular, according to the Food and Agriculture …

Predicting long-term dynamics of soil salinity and sodicity on a global scale

A Hassani, A Azapagic… - Proceedings of the …, 2020 - National Acad Sciences
Knowledge of spatiotemporal distribution and likelihood of (re) occurrence of salt-affected
soils is crucial to our understanding of land degradation and for planning effective …

Transfer learning in environmental remote sensing

Y Ma, S Chen, S Ermon, DB Lobell - Remote Sensing of Environment, 2024 - Elsevier
Abstract Machine learning (ML) has proven to be a powerful tool for utilizing the rapidly
increasing amounts of remote sensing data for environmental monitoring. Yet ML models …

Soil organic carbon storage as a key function of soils-A review of drivers and indicators at various scales

M Wiesmeier, L Urbanski, E Hobley, B Lang… - Geoderma, 2019 - Elsevier
The capacity of soils to store organic carbon represents a key function of soils that is not only
decisive for climate regulation but also affects other soil functions. Recent efforts to assess …

[HTML][HTML] Climate change: Strategies for mitigation and adaptation

F Wang, JD Harindintwali, K Wei, Y Shan… - The Innovation …, 2023 - the-innovation.org
The sustainability of life on Earth is under increasing threat due to human-induced climate
change. This perilous change in the Earth's climate is caused by increases in carbon dioxide …

[HTML][HTML] Internet of Things in arable farming: Implementation, applications, challenges and potential

A Villa-Henriksen, GTC Edwards, LA Pesonen… - Biosystems …, 2020 - Elsevier
Highlights•The role of Internet of Things in arable farming is reviewed.•Internet of Things is
leading arable farming to become data-driven.•Implementation and application are …