Machine learning to estimate surface soil moisture from remote sensing data

H Adab, R Morbidelli, C Saltalippi, M Moradian… - Water, 2020‏ - mdpi.com
Soil moisture is an integral quantity parameter in hydrology and agriculture practices.
Satellite remote sensing has been widely applied to estimate surface soil moisture …

Map** of ecological environment based on Google earth engine cloud computing platform and landsat long-term data: A case study of the zhoushan archipelago

C Chen, L Wang, G Yang, W Sun, Y Song - Remote Sensing, 2023‏ - mdpi.com
In recent years, with the rapid advancement of China's urbanization, the contradiction
between urban development and the ecological environment has become increasingly …

Heavy metal contamination in agricultural soil and ecological risk assessment in the northeast area of Tadla plain, Morocco

W Ennaji, A Barakat, M El Baghdadi, J Rais - Journal of Sedimentary …, 2020‏ - Springer
The present study investigated the potentially toxic heavy metal (Cu, Pb, Zn, Cr, and Cd)
contamination and its ecological impact in the agricultural soil in the northeast part of Tadla …

Retrieving soil moisture from grape growing areas using multi-feature and stacking-based ensemble learning modeling

S Tao, X Zhang, R Feng, W Qi, Y Wang… - … and Electronics in …, 2023‏ - Elsevier
Soil moisture (SM) is an essential parameter for crop growth and development, and temporal
and spatial variation in SM in agricultural fields varies by crop type due to corresponding …

Develo** 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 …

Remote sensing‐based retrieval of soil moisture content using stacking ensemble learning models

S Wang, Y Wu, R Li, X Wang - Land Degradation & …, 2023‏ - Wiley Online Library
Abstract Machine learning combined with multisource remote sensing data to assess soil
moisture content (SMC) has attracted considerable attention in SMC studies, but the retrieval …

Comparison of spectral and spatial-based approaches for map** the local variation of soil moisture in a semi-arid mountainous area

S Fathololoumi, AR Vaezi, SK Alavipanah… - Science of the Total …, 2020‏ - Elsevier
Accurate information on soil moisture (SM) is critical in various applications including
agriculture, climate, hydrology, soil and drought. In this paper, various predictive …

[HTML][HTML] Inversion of large-scale citrus soil moisture using multi-temporal Sentinel-1 and Landsat-8 data

Z Wu, N Cui, W Zhang, D Gong, C Liu, Q Liu… - Agricultural Water …, 2024‏ - Elsevier
Soil moisture is a significant variable in agricultural study and precision irrigation decision-
making. It determines the soil water availability for plants, directly influencing plant growth …

A new attempt for modeling erosion risks using remote sensing-based map** and the index of land susceptibility to wind erosion

AS Abuzaid, MA El-Shirbeny, ME Fadl - Catena, 2023‏ - Elsevier
Digital soil maps at proper scales can support sustainable land-use planning over large
areas; however, applying this approach in erosion studies is still limited. Therefore, in this …

Predicting Dynamics of Soil Salinity and Sodicity Using Remote Sensing Techniques: A Landscape-Scale Assessment in the Northeastern Egypt

AS Abuzaid, MS El-Komy, MS Shokr, AA El Baroudy… - Sustainability, 2023‏ - mdpi.com
Traditional map** of salt affected soils (SAS) is very costly and cannot precisely depict the
space–time dynamics of soil salts over landscapes. Therefore, we tested the capacity of …