Climate change impacts on soil salinity in agricultural areas

DL Corwin - European Journal of Soil Science, 2021 - Wiley Online Library
Abstract Changes in climate patterns are dramatically influencing some agricultural areas.
Arid, semi‐arid and coastal agricultural areas are especially vulnerable to climate change …

Critical knowledge gaps and research priorities in global soil salinity

JW Hopmans, AS Qureshi, I Kisekka, R Munns… - Advances in …, 2021 - Elsevier
Approximately 1 billion ha of the global land surface is currently salt-affected, representing
about 7% of the earth's land surface. Whereas most of it results from natural geochemical …

Global predictions of primary soil salinization under changing climate in the 21st century

A Hassani, A Azapagic, N Shokri - Nature communications, 2021 - nature.com
Soil salinization has become one of the major environmental and socioeconomic issues
globally and this is expected to be exacerbated further with projected climatic change …

[HTML][HTML] Saline soils worldwide: Identifying the most promising areas for saline agriculture

K Negacz, Ž Malek, A de Vos, P Vellinga - Journal of arid environments, 2022 - Elsevier
Salinization poses a major challenge for modern agriculture with considerable areas being
salt-affected worldwide. However, these lands can be cultivated by applying saline …

Soil salinity and sodicity in drylands: A review of causes, effects, monitoring, and restoration measures

I Stavi, N Thevs, S Priori - Frontiers in Environmental Science, 2021 - frontiersin.org
Soil salinization and sodification are common processes that particularly characterize
drylands. These processes can be attributed either to natural conditions or anthropogenic …

High resolution mapping of soil properties using remote sensing variables in south-western Burkina Faso: a comparison of machine learning and multiple linear …

G Forkuor, OKL Hounkpatin, G Welp, M Thiel - PloS one, 2017 - journals.plos.org
Accurate and detailed spatial soil information is essential for environmental modelling, risk
assessment and decision making. The use of Remote Sensing data as secondary sources of …

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 …

Estimating soil salinity from remote sensing and terrain data in southern Xinjiang Province, China

J Peng, A Biswas, Q Jiang, R Zhao, J Hu, B Hu, Z Shi - Geoderma, 2019 - Elsevier
Soil salinization is one of the main reasons for soil health and ecosystem deterioration in
most degraded arid and semiarid areas. To monitor its spatial variation as precise as …

Integration of high resolution remotely sensed data and machine learning techniques for spatial prediction of soil properties and corn yield

S Khanal, J Fulton, A Klopfenstein, N Douridas… - … and electronics in …, 2018 - Elsevier
Widespread adoption of precision agriculture requires timely acquisition of low-cost, high
quality soil and crop yield maps. Integration of remotely sensed data and machine learning …

A comprehensive review of remote sensing platforms, sensors, and applications in nut crops

H Jafarbiglu, A Pourreza - Computers and Electronics in Agriculture, 2022 - Elsevier
Background Due to their high protein content, nuts (almond, walnut, and pistachio) are
among the main substitutes for meat, with a growing share of the food basket in the United …