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- 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 assimilation. Validation uses core monitoring sites, monitoring networks, field campaigns, and multi-satellite comparisons.Author: Binayak P. Mohanty, Michael H. Cosh, Venkat Lakshmi, Carsten MontzkaPublish Year: 2017Cited By: 210Published: 26 January 2017Volume: 16, Issue1
acsess.onlinelibrary.wiley.com/doi/full/10.2136/vzj2016.10.0105 Soil Moisture Remote Sensing: State-of-the-Science - ACSESS
- Authors: Binayak P. Mohanty, Michael H. Cosh, Venkat La…
- Volume: Volume16, Issue1
- DOI: https://doi.org/10.2136/vzj2016.10.0105
- Published: 26 January 2017
- Cited By: 210
- PDF: https://acsess.onlinelibrary.wiley.com/doi/pdf/10.2136/…
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 assimilation. Validation uses core monitoring sites, monitoring networks, field campaigns, and multi-satellite compariso...Ground, Proximal, and Satellite Remote Sensing of …
Mar 21, 2019 · Today, ground-based and airborne and spaceborne remote sensing (RS) techniques provide an exceedingly powerful means for characterization and monitoring of large-scale near-surface soil properties and …
- Studies of Soil Moisture Remote Sensing
A Long-term Consistent Artificial Intelligence and Remote …
Mar 22, 2023 · The Consistent Artificial Intelligence (AI)-based Soil Moisture (CASM) dataset is a global, consistent, and long-term, remote sensing soil moisture (SM) dataset created using …
Remote Sensing of Soil Moisture - Lakshmi - Wiley Online Library
Satellite and aircraft remote sensing enable us to estimate large-scale soil moisture for the purpose of modeling the interactions between land and atmosphere, helping us to model …
Remote sensing of soil moisture using Rydberg atoms and …
Aug 4, 2024 · We demonstrate remote sensing of soil moisture, an important earth system variable, via ground-based radar reflectometry with Rydberg atomic systems.
A 21-year dataset (2000–2020) of gap-free global daily surface …
Mar 15, 2023 · Random Forest algorithm was then adopted to disaggregate the coarse-resolution SSM to 1-km, with the help of International Soil Moisture Network in-situ observations and …
Soil moisture retrieval from remote sensing measurements: …
Jul 1, 2021 · 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 cycles. …
• NASA’s Soil Moisture Active Passive (SMAP) mission, soil moisture data from SPAM and its applications in the fields of agriculture, flood and drought monitoring, weather and climate …
ESSD - An improved global remote-sensing-based …
Jan 5, 2021 · In this study, we conducted data calibration and data fusion of 11 well-acknowledged microwave remote-sensing soil moisture products since 2003 through a neural network approach, with Soil Moisture Active Passive (SMAP) …
Surface soil moisture retrievals from remote sensing: Current …
Jan 1, 2015 · In this framework, we consider the newest techniques developed within optical and thermal infrared remote sensing, active and passive microwave domains, as well as …
Advances in remote sensing based soil moisture retrieval
Aug 2, 2024 · Soil Moisture (SM) monitoring is crucial for various applications in agriculture, hydrology, and climate science. Remote Sensing (RS) offers a powerful tool for large-scale SM …
Machine Learning to Estimate Surface Soil Moisture from Remote …
Nov 17, 2020 · Satellite remote sensing has been widely applied to estimate surface soil moisture. However, it is still a challenge to retrieve surface soil moisture content (SMC) data in the …
Oct 25, 2016 · As remote sensing platforms are becoming more strategic for global monitoring of Earth resources, various ground-based invasive and noninvasive soil moisture measurement …
Strategies to Measure Soil Moisture Using Traditional Methods ...
This review provides a detailed synthesis of various in-situ, remote sensing, and machine learning approaches to estimate soil moisture. Bibliometric analysis o.
Rapid retrieval of soil moisture using a novel portable L-band ...
6 days ago · The result is expected to extend the passive remote sensing for soil moisture at L-band techniques to agrometeorology. 2. Data. There are several datasets used in this study, …
An inclusive approach to crop soil moisture estimation: …
This study evaluated the effectiveness of thermal and optical remote-sensing vegetation indices in assessing soil moisture levels for the potato crop on PEI over two growing seasons. To …
Soil Moisture Prediction from Remote Sensing Images Coupled …
Nov 5, 2022 · In this research, high spatial resolution Sentinel-1 (S1) backscatter data and high temporal resolution soil moisture active passive (SMAP) SM data were combined to create …
Global-Scale Assessment of Multiple Recently …
Feb 5, 2024 · Abstract: The comprehensive and robust assessment of diverse global-scale satellite-based soil moisture (SM) products from various satellite data sources (e.g., different …
Improving Surface Soil Moisture Estimates in Humid Regions by …
Feb 1, 2021 · Microwave remote sensing is one of the most important techniques for deriving surface soil moisture at large spatial scales. However, its spatial resolutions are coarse, …
Soil moisture remote sensing using SIW cavity based …
Mar 30, 2021 · In this paper, a metamaterial perfect absorber (MPA) based soil moisture sensor is introduced. The ability of MPAs to absorb electromagnetic signals with near 100% efficiency …
valuate scenarios at the global scale using soil moist. re beer able to predict mobility of vehicles in Central Indones. ms and how does the new data stream affect the system perfor.
EJP SOIL WEBINAR: SOIL SENSING – handling soil moisture in …
Nov 3, 2024 · For whom? This webinar is a follow-up on the two webinars in spring, introducing proximal and remote sensing (introduction to proximal sensing January 18th 2024, and …
Retrieval of soil moisture in salinized farmland soil by multi ...
1 day ago · Later, we developed a soil moisture retrieval model based on the co-polarization ratio, considering incidence angle, residual roughness, and soluble salt content. The validation of …
Integrating Remote Sensing and Machine Learning to Predict
Nov 5, 2024 · IoT-based remote sensing nodes have been built and deployed in an agricultural farm to collect real-time soil characteristics with essential environmental param ... Rainfall …
Adaptive proper orthogonal decomposition for large scale reliable …
Solutions based on downscaling remote sensing data and estimation of soil moisture at different depths [11, 12] require measurement of certain additional parameters that are not necessarily …
Integrating multi-source remote sensing data for mapping boreal …
Jun 17, 2024 · Remote sensing of soil properties in forests is possible from low frequency (P-band) PolSASR backscattering, but the retrieval accuracy depends heavily on the accuracy of …
Helping Managers Plan for Climate Change with Remote Sensing …
Oct 24, 2024 · In the figure, “average annual soil moisture” represents the amount of moisture stored in the top meter of soil at a single Ponderosa Pine alliance group polygon at the park's …
Proximal Soil Moisture Sensing for Real-Time Water Delivery …
A greenhouse trial was also conducted to mimic the actual growth of potatoes by controlling the soil moisture and exploring the impact on their growth. It was found that 0.3 cm 3 /cm 3 was …
Remote Sensing | Free Full-Text | An Assessment of the …
4 days ago · Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves …
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