Deep learning in environmental remote sensing: Achievements and challenges
Various forms of machine learning (ML) methods have historically played a valuable role in
environmental remote sensing research. With an increasing amount of “big data” from earth …
environmental remote sensing research. With an increasing amount of “big data” from earth …
The International Soil Moisture Network: serving Earth system science for over a decade
W Dorigo, I Himmelbauer, D Aberer… - Hydrology and Earth …, 2021 - hess.copernicus.org
In 2009, the International Soil Moisture Network (ISMN) was initiated as a community effort,
funded by the European Space Agency, to serve as a centralised data hosting facility for …
funded by the European Space Agency, to serve as a centralised data hosting facility for …
[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 …
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 …
Satellite remote sensing for water resources management: Potential for supporting sustainable development in data‐poor regions
Water resources management (WRM) for sustainable development presents many
challenges in areas with sparse in situ monitoring networks. The exponential growth of …
challenges in areas with sparse in situ monitoring networks. The exponential growth of …
A review of spatial downscaling of satellite remotely sensed soil moisture
Satellite remote sensing technology has been widely used to estimate surface soil moisture.
Numerous efforts have been devoted to develop global soil moisture products. However …
Numerous efforts have been devoted to develop global soil moisture products. However …
[HTML][HTML] Validation practices for satellite soil moisture retrievals: What are (the) errors?
This paper presents a community effort to develop good practice guidelines for the validation
of global coarse-scale satellite soil moisture products. We provide theoretical background, a …
of global coarse-scale satellite soil moisture products. We provide theoretical background, a …
Validation of SMAP surface soil moisture products with core validation sites
Abstract The NASA Soil Moisture Active Passive (SMAP) mission has utilized a set of core
validation sites as the primary methodology in assessing the soil moisture retrieval algorithm …
validation sites as the primary methodology in assessing the soil moisture retrieval algorithm …
[HTML][HTML] Evaluation of 18 satellite-and model-based soil moisture products using in situ measurements from 826 sensors
Abstract Information about the spatiotemporal variability of soil moisture is critical for many
purposes, including monitoring of hydrologic extremes, irrigation scheduling, and prediction …
purposes, including monitoring of hydrologic extremes, irrigation scheduling, and prediction …
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 …