Soil salinity: A global threat to sustainable development

A Singh - Soil Use and Management, 2022 - Wiley Online Library
Soil is a vital resource for feeding the burgeoning global population, and it is also essential
for realizing most of the 'United Nations Sustainable Development Goals (SDGs)'. For …

Heterogeneous catalysis mediated by light, electricity and enzyme via machine learning: paradigms, applications and prospects

W Zhang, W Huang, J Tan, Q Guo, B Wu - Chemosphere, 2022 - Elsevier
Energy crisis and environmental pollution have become the bottleneck of human
sustainable development. Therefore, there is an urgent need to develop new catalysts for …

[HTML][HTML] Deep learning and data fusion to estimate surface soil moisture from multi-sensor satellite images

A Singh, K Gaurav - Scientific Reports, 2023 - nature.com
We propose a new architecture based on a fully connected feed-forward Artificial Neural
Network (ANN) model to estimate surface soil moisture from satellite images on a large …

TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple environment covariates

J Yu, W Zheng, L Xu, F Meng, J Li, L Zhangzhong - Journal of Hydrology, 2022 - Elsevier
Maize is one of the major crops in China. The soil water content (SWC) in the root zone of
maize is a critical indicator that guides agricultural production decisions and can affect …

Characterizing soil salinity at multiple depth using electromagnetic induction and remote sensing data with random forests: A case study in Tarim River Basin of …

F Wang, S Yang, Y Wei, Q Shi, J Ding - Science of the Total Environment, 2021 - Elsevier
Abstract Tarim River Basin is experiencing heavy soil degeneration in a long term because
of the extreme natural conditions, added with improper human activities such as reclamation …

Developing pedotransfer functions using Sentinel-2 satellite spectral indices and Machine learning for estimating the surface soil moisture

A Sedaghat, MS Shahrestani, AA Noroozi… - Journal of …, 2022 - Elsevier
To estimate the surface soil moisture (SM) using a combination of new spectral indices and
methods of Random Forrest (RF) and Multiple Linear Regression (MLR), 11 pedotransfer …

Effect of multi-temporal satellite images on soil moisture prediction using a digital soil mapping approach

S Fathololoumi, AR Vaezi, SK Alavipanah, A Ghorbani… - Geoderma, 2021 - Elsevier
Soil moisture (SM), a critical component of the global hydrological cycle, is affected by
individual or combinations of multiple factors including soil properties, climate, and …

[HTML][HTML] Estimation of soil nutrient content using hyperspectral data

Y Peng, L Wang, L Zhao, Z Liu, C Lin, Y Hu, L Liu - Agriculture, 2021 - mdpi.com
Soil nutrients play a vital role in plant growth and thus the rapid acquisition of soil nutrient
content is of great significance for agricultural sustainable development. Hyperspectral …

[HTML][HTML] Using apparent electrical conductivity as indicator for investigating potential spatial variation of soil salinity across seven oases along Tarim River in Southern …

J Ding, S Yang, Q Shi, Y Wei, F Wang - Remote Sensing, 2020 - mdpi.com
Soil salinization is a major soil health issue globally. Over the past 40 years, extreme
weather and increasing human activity have profoundly changed the spatial distribution of …

Land surface temperature assimilation into a soil moisture-temperature model for retrieving farm-scale root zone soil moisture

S Ahmadi, H Alizadeh, B Mojaradi - Geoderma, 2022 - Elsevier
Thermal infrared remote sensing have been extensively applied to estimate global-or
regional-extent surface soil moisture. Meanwhile, potentials of the remotely sensed data for …