Ground, proximal, and satellite remote sensing of soil moisture

E Babaeian, M Sadeghi, SB Jones… - Reviews of …, 2019 - Wiley Online Library
Soil moisture (SM) is a key hydrologic state variable that is of significant importance for
numerous Earth and environmental science applications that directly impact the global …

Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future

ZL Li, P Leng, C Zhou, KS Chen, FC Zhou… - Earth-Science …, 2021 - Elsevier
Soil moisture (SM) is an essential parameter for understanding the interactions and
feedbacks between the atmosphere and the Earth's surface through energy and water …

Evolution of the ESA CCI Soil Moisture climate data records and their underlying merging methodology

A Gruber, T Scanlon, R van der Schalie… - Earth System …, 2019 - essd.copernicus.org
The European Space Agency's Climate Change Initiative for Soil Moisture (ESA CCI SM)
merging algorithm generates consistent quality-controlled long-term (1978–2018) climate …

ESA CCI Soil Moisture for improved Earth system understanding: State-of-the art and future directions

W Dorigo, W Wagner, C Albergel, F Albrecht… - Remote Sensing of …, 2017 - Elsevier
Abstract Climate Data Records of soil moisture are fundamental for improving our
understanding of long-term dynamics in the coupled water, energy, and carbon cycles over …

Assessment of the SMAP passive soil moisture product

SK Chan, R Bindlish, PE O'Neill, E Njoku… - … on Geoscience and …, 2016 - ieeexplore.ieee.org
The National Aeronautics and Space Administration (NASA) Soil Moisture Active Passive
(SMAP) satellite mission was launched on January 31, 2015. The observatory was …

Modelling the passive microwave signature from land surfaces: A review of recent results and application to the L-band SMOS & SMAP soil moisture retrieval …

JP Wigneron, TJ Jackson, P O'neill… - Remote Sensing of …, 2017 - Elsevier
Two passive microwave missions are currently operating at L-band to monitor surface soil
moisture (SM) over continental surfaces. The SMOS sensor, based on an innovative …

Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine

M Maimaitijiang, A Ghulam, P Sidike, S Hartling… - ISPRS Journal of …, 2017 - Elsevier
Estimating crop biophysical and biochemical parameters with high accuracy at low-cost is
imperative for high-throughput phenotyping in precision agriculture. Although fusion of data …

[HTML][HTML] Retrievals of soil moisture and vegetation optical depth using a multi-channel collaborative algorithm

T Zhao, J Shi, D Entekhabi, TJ Jackson, L Hu… - Remote Sensing of …, 2021 - Elsevier
Due to the success of the SMOS (Soil Moisture and Ocean Salinity) and SMAP (Soil
Moisture Active Passive) missions, new satellite missions are on the horizon. The current …

Soil moisture experiment in the Luan River supporting new satellite mission opportunities

T Zhao, J Shi, L Lv, H Xu, D Chen, Q Cui… - Remote Sensing of …, 2020 - Elsevier
Abstract The Soil Moisture Experiment in the Luan River (SMELR) was conducted from 2017
to 2018 in the semi-arid Luan River watershed located in the North of China. One of the …

A new SMAP soil moisture and vegetation optical depth product (SMAP-IB): Algorithm, assessment and inter-comparison

X Li, JP Wigneron, L Fan, F Frappart, SH Yueh… - Remote Sensing of …, 2022 - Elsevier
Passive microwave remote sensing at L-band (1.4 GHz) provides an unprecedented
opportunity to estimate global surface soil moisture (SM) and vegetation water content (via …