Strategies to measure soil moisture using traditional methods, automated sensors, remote sensing, and machine learning techniques: review, bibliometric analysis …

A Singh, K Gaurav, GK Sonkar, CC Lee - IEEE Access, 2023 - ieeexplore.ieee.org
This review provides a detailed synthesis of various in-situ, remote sensing, and machine
learning approaches to estimate soil moisture. Bibliometric analysis of the published …

Soil moisture and sea surface salinity derived from satellite-borne sensors

J Boutin, S Yueh, R Bindlish, S Chan, D Entekhabi… - Surveys in …, 2023 - Springer
The monitoring of soil moisture and sea surface salinity over the Earth has been profoundly
enhanced during the last thirteen years due to a new generation of satellite sensors. L-band …

Monitoring of wheat crops using the backscattering coefficient and the interferometric coherence derived from Sentinel-1 in semi-arid areas

N Ouaadi, L Jarlan, J Ezzahar, M Zribi… - Remote Sensing of …, 2020 - Elsevier
Radar data at C-band has shown great potential for the monitoring of soil and canopy hydric
conditions of wheat crops. In this study, the C-band Sentinel-1 time series including the …

Comparison of bagging, boosting and stacking algorithms for surface soil moisture mapping using optical-thermal-microwave remote sensing synergies

B Das, P Rathore, D Roy, D Chakraborty, RS Jatav… - Catena, 2022 - Elsevier
Soil moisture information is key to irrigation water management, drought monitoring, and
yield prediction. It plays a vital role in the water cycle and energy budget between the earth's …

Combined Sentinel-1A with Sentinel-2A to estimate soil moisture in farmland

Y Liu, J Qian, H Yue - IEEE Journal of Selected Topics in …, 2020 - ieeexplore.ieee.org
In this article, seven filter algorithms were compared. The Lee sigma method was more
suitable for estimating soil moisture (SM) than the other filtering methods under different land …

Estimation of soil moisture applying modified dubois model to Sentinel-1; a regional study from central India

A Singh, K Gaurav, GK Meena, S Kumar - Remote Sensing, 2020 - mdpi.com
Surface soil moisture has a wide application in climate change, agronomy, water resources,
and in many other domain of science and engineering. Measurement of soil moisture at high …

[HTML][HTML] Exploring Sentinel-1 backscatter time series over the Atacama Desert (Chile) for seasonal dynamics of surface soil moisture

T Ullmann, T Jagdhuber, D Hoffmeister, SM May… - Remote Sensing of …, 2023 - Elsevier
Recent research indicates an inverse relation between Synthetic Aperture Radar (SAR)
signal and near-surface soil moisture (SM) over very dry sediments, arid to hyper-arid soils …

Soil moisture content estimation based on Sentinel-1 SAR imagery using an artificial neural network and hydrological components

J Chung, Y Lee, J Kim, C Jung, S Kim - Remote Sensing, 2022 - mdpi.com
This study estimates soil moisture content (SMC) using Sentinel-1A/B C-band synthetic
aperture radar (SAR) images and an artificial neural network (ANN) over a 40× 50-km2 area …

Saline soil moisture mapping using Sentinel-1A synthetic aperture radar data and machine learning algorithms in humid region of China's east coast

J Wang, F Wu, J Shang, Q Zhou, I Ahmad, G Zhou - Catena, 2022 - Elsevier
Accurate and timely information on soil moisture (SM) is crucial for better understanding the
hydrological and ecological processes in humid saline regions. This study investigated the …

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 …