Ground, proximal, and satellite remote sensing of soil moisture
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 …
numerous Earth and environmental science applications that directly impact the global …
Four decades of microwave satellite soil moisture observations: Part 1. A review of retrieval algorithms
The satellite based passive (radiometer) and active (radar) microwave sensors enhanced
our ability to retrieve soil moisture at global scales. It has been almost four decades since …
our ability to retrieve soil moisture at global scales. It has been almost four decades since …
Multi-layer high-resolution soil moisture estimation using machine learning over the United States
L Karthikeyan, AK Mishra - Remote Sensing of Environment, 2021 - Elsevier
The lack of proper understanding of multi-layer soil moisture (SM) profile (signals) remains a
persistent challenge in sustainable agricultural water management and food security …
persistent challenge in sustainable agricultural water management and food security …
Soil moisture remote sensing: State‐of‐the‐science
Core Ideas Satellites, particularly at L‐band frequency, can globally map near‐surface soil
moisture. Near‐surface moisture is extended to the root zone using models and data …
moisture. Near‐surface moisture is extended to the root zone using models and data …
Global scale error assessments of soil moisture estimates from microwave-based active and passive satellites and land surface models over forest and mixed irrigated …
Over the past four decades, satellite systems and land surface models have been used to
estimate global-scale surface soil moisture (SSM). However, in areas such as densely …
estimate global-scale surface soil moisture (SSM). However, in areas such as densely …
Soil moisture information can improve shallow landslide forecasting using the hydrometeorological threshold approach
Empirical thresholds indicating the meteorological conditions leading to shallow landslide
triggering are one of the most important components of landslide early warning systems …
triggering are one of the most important components of landslide early warning systems …
Land data assimilation: Harmonizing theory and data in land surface process studies
Data assimilation plays a dual role in advancing the “scientific” understanding and serving
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …
as an “engineering tool” for the Earth system sciences. Land data assimilation (LDA) has …
Improved water balance component estimates through joint assimilation of GRACE water storage and SMOS soil moisture retrievals
The accuracy of global water balance estimates is limited by the lack of observations at large
scale and the uncertainties of model simulations. Global retrievals of terrestrial water storage …
scale and the uncertainties of model simulations. Global retrievals of terrestrial water storage …
Two-step fusion method for generating 1 km seamless multi-layer soil moisture with high accuracy in the Qinghai-Tibet plateau
Current remote sensing techniques fail to observe and generate large scale multi-layer soil
moisture (SM) due to the inherent features of the satellite sensors. The lack of …
moisture (SM) due to the inherent features of the satellite sensors. The lack of …
Root-zone soil moisture estimation based on remote sensing data and deep learning
Soil moisture in the root zone is the most important factor in eco-hydrological processes.
Even though soil moisture can be obtained by remote sensing, limited to the top few …
Even though soil moisture can be obtained by remote sensing, limited to the top few …