[HTML][HTML] A roadmap for high-resolution satellite soil moisture applications–confronting product characteristics with user requirements
Soil moisture observations are of broad scientific interest and practical value for a wide
range of applications. The scientific community has made significant progress in estimating …
range of applications. The scientific community has made significant progress in estimating …
A systematic review on advancements in remote sensing for assessing and monitoring land use and land cover changes impacts on surface water resources in semi …
This study aimed to provide a systematic overview of the progress made in utilizing remote
sensing for assessing the impacts of land use and land cover (LULC) changes on water …
sensing for assessing the impacts of land use and land cover (LULC) changes on water …
Soil moisture retrieval from remote sensing measurements: Current knowledge and directions for the future
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 …
feedbacks between the atmosphere and the Earth's surface through energy and water …
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 …
Validation of soil moisture data products from the NASA SMAP mission
The National Aeronautics and Space Administration Soil Moisture Active Passive (SMAP)
mission has been validating its soil moisture (SM) products since the start of data production …
mission has been validating its soil moisture (SM) products since the start of data production …
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 …
Quasi-global machine learning-based soil moisture estimates at high spatio-temporal scales using CYGNSS and SMAP observations
Global soil moisture mapping at high spatial and temporal resolution is important for various
meteorological, hydrological, and agricultural applications. Recent research shows that the …
meteorological, hydrological, and agricultural applications. Recent research shows that the …
[HTML][HTML] Regional data sets of high-resolution (1 and 6 km) irrigation estimates from space
Irrigation water use represents the primary source of freshwater consumption by humans.
The amount of water withdrawals for agricultural purposes is expected to further increase in …
The amount of water withdrawals for agricultural purposes is expected to further increase in …
SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US
Soil moisture plays a key role in controlling land-atmosphere interactions, with implications
for water resources, agriculture, climate, and ecosystem dynamics. Although soil moisture …
for water resources, agriculture, climate, and ecosystem dynamics. Although soil moisture …
Detecting and mapping irrigated areas in a Mediterranean environment by using remote sensing soil moisture and a land surface model
Although irrigation practices affect food production and water resource management, with
ever more impacting effects under climate change and population increasing scenarios …
ever more impacting effects under climate change and population increasing scenarios …