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The work which we present takes place within the framework of mission SMOS of the ESA which will consist to send a radiometer (1.4 GHz) in space. The goal of the research which we propose is the improvement of the comprehension of the…

The work which we present takes place within the framework of mission SMOS of the ESA which will consist to send a radiometer (1.4 GHz) in space. The goal of the research which we propose is the improvement of the comprehension of the…

As part of the SMOS mission (Soil Moisture and Ocean Salinity) IMS and EPHYSE laboratories are involved in the study and validation of the inversion algorithm LMEB. In the framework of this study, we developed a model using the numerical…

Geophysics · Physics 2009-06-26 François Demontoux , Heather Lawrence , Jean Pierre Wigneron

The work which we present takes place within the framework of mission SMOS of the ESA which will consist to send a radiometer (1.4 GHz) in space. The goal of the research which we propose is the improvement of the comprehension of the…

The surface soil moisture is a key variable to describe the exchange of water and energy between the land and the atmosphere. In hydrology, and meteorology, the amount of water in the upper soil layers permits (0-5 cm from the surface) the…

The current availability of soil moisture data over large areas comes from satellite remote sensing technologies (i.e., radar-based systems), but these data have coarse resolution and often exhibit large spatial information gaps. Where data…

Machine Learning · Computer Science 2019-05-22 Danny Rorabaugh , Mario Guevara , Ricardo Llamas , Joy Kitson , Rodrigo Vargas , Michela Taufer

Accurate soil moisture (SM) estimation is critical for precision agriculture, water resources management and climate monitoring. Yet, existing satellite SM products are too coarse (>1km) for farm-level applications. We present a…

Computer Vision and Pattern Recognition · Computer Science 2026-02-23 Ioannis Kontogiorgakis , Athanasios Askitopoulos , Iason Tsardanidis , Dimitrios Bormpoudakis , Ilias Tsoumas , Fotios Balampanis , Charalampos Kontoes

The use of GNSS signals as a source of opportunity for remote sensing applications, GNSS-R, has been a research area of interest for more than a decade. One of the possible applications of this technique is soil moisture monitoring. The…

We present a methodology based on interferometric synthetic aperture radar (InSAR) time series analysis that can provide surface (top 5 cm) soil moisture (SSM) estimations. The InSAR time series analysis consists of five processing steps. A…

Computer Vision and Pattern Recognition · Computer Science 2023-08-09 Kleanthis Karamvasis , Vassilia Karathanassi

Moisture estimation of sub-surface soil and the overlaying biomass layer is pivotal in precision agriculture and wildfire risk assessment. However, the characterization of layered material is nontrivial due to the radar…

Signal Processing · Electrical Eng. & Systems 2024-04-01 Ishfaq Aziz , Elahe Soltanaghai , Adam Watts , Mohamad Alipour

Soil moisture impacts exchanges of water, energy and carbon fluxes between the land surface and the atmosphere. Passive microwave remote sensing at L-band can capture spatial and temporal patterns of soil moisture in the landscape. Both ESA…

We investigate theoretically the ultimate resolution that can be achieved with passive remote sensing in the microwave regime used e.g.~on board of satellites observing Earth, such as the Soil Moisture and Ocean Salinity (SMOS) mission. We…

Quantum Physics · Physics 2022-07-20 Emre Köse , Gerardo Adesso , Daniel Braun

Soil assessment is important for mobile robot planning and navigation on natural and planetary environments. Terramechanic characteristics can be inferred from the thermal behaviour of soils under the influence of sunlight using remote…

Marine litter poses significant threats to marine and coastal environments, with its impacts ever-growing. Remote sensing provides an advantageous supplement to traditional mitigation techniques, such as local cleaning operations and trawl…

Computer Vision and Pattern Recognition · Computer Science 2023-06-28 Bianca Matos de Barros , Douglas Galimberti Barbosa , Cristiano Lima Hackmann

From July-December 2004 the experimental campaign 'Bray 2004' was conducted in the coniferous forest of Les Landes near Bordeaux, France, using a multi-angle L-band (1.4 GHz) radiometer to measure upwelling radiation above the forest. At…

The widespread use of Exogenous Organic Matter in agriculture necessitates monitoring to assess its effects on soil and crop health. This study evaluates optical Sentinel-2 satellite imagery for detecting digestate application, a practice…

Computer Vision and Pattern Recognition · Computer Science 2025-12-01 Andreas Kalogeras , Dimitrios Bormpoudakis , Iason Tsardanidis , Dimitra A. Loka , Charalampos Kontoes

Soil moisture is critical component of crop health and monitoring it can enable further actions for increasing yield or preventing catastrophic die off. As climate change increases the likelihood of extreme weather events and reduces the…

Image and Video Processing · Electrical Eng. & Systems 2020-04-28 Conrad James Foley , Sagar Vaze , Mohamed El Amine Seddiq , Alexey Unagaev , Natalia Efremova

The National Aeronautics and Space Administration's (NASA) Soil Moisture Active Passive (SMAP) is the latest passive remote sensing satellite operating in the protected L-band spectrum from 1.400 to 1.427 GHz. SMAP provides global-scale…

Signal Processing · Electrical Eng. & Systems 2023-06-21 Mohammad Koosha , Nicholas Mastronarde

Soil moisture (SM) is referred to as a finite amount of water molecules within the pore spaces and it is a crucial parameter of Hydro-Meteorological processes. The behaviour of soil moisture water changes spatially and temporally in…

Soil moisture estimation is an important task to enable precision agriculture in creating optimal plans for irrigation, fertilization, and harvest. It is common to utilize statistical and machine learning models to estimate soil moisture…

Computer Vision and Pattern Recognition · Computer Science 2024-08-22 Mohammed Rakib , Adil Aman Mohammed , D. Cole Diggins , Sumit Sharma , Jeff Michael Sadler , Tyson Ochsner , Arun Bagavathi
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