A5070225580- Soil Moisture and Remote Sensing
- Precipitation Measurement and Analysis
- Synthetic Aperture Radar (SAR) Applications and Techniques
- Cryospheric studies and observations
- Climate change and permafrost
- Soil and Unsaturated Flow
- Soil Geostatistics and Mapping
- Arctic and Antarctic ice dynamics
- Hydrology and Drought Analysis
- Irrigation Practices and Water Management
- Fire effects on ecosystems
- Calibration and Measurement Techniques
- GNSS positioning and interference
- Remote Sensing in Agriculture
- Climate variability and models
- Antenna Design and Optimization
- Remote Sensing and LiDAR Applications
- Environmental Monitoring and Data Management
- Geophysics and Gravity Measurements
- Agriculture, Soil, Plant Science
- Space exploration and regulation
- Remote Sensing and Land Use
- Electromagnetic Compatibility and Measurements
- Spacecraft Design and Technology
- Millimeter-Wave Propagation and Modeling
Universitat Politècnica de Catalunya
2010-2024
Institut de Ciències del Mar
2019-2022
Consejo Superior de Investigaciones Científicas
2020-2022
Institut Català de Ciències del Clima
2021
FC Barcelona
2020
Universidad de Salamanca
2017-2018
Institut d'Estudis Espacials de Catalunya
2014-2016
European Space Agency
2010
European Space Research and Technology Centre
2010
Global navigation satellite systems-reflectometry (GNSS-R) is an emerging remote sensing technique that makes use of signals as opportunity in a multistatic radar configuration, with many transmitters satellites are view. GNSS-R sensitivity to soil moisture has already been proven from ground-based and airborne experiments, but studies using space-borne data still preliminary due the limited amount data, collocation, footprint heterogeneity, etc. This study presents TechDemoSat-1 over...
After the successful launching of Soil Moisture and Ocean Salinity satellite in November 2009, continuous streams data started to be regularly downloaded made available processed. The first six months operation were fully dedicated In-Orbit Commissioning Phase, with an intense activity aimed at bringing instrument into a operational condition. Concerning payload Microwave Imaging Radiometer Aperture Synthesis, it was characterized using specific orbits check all modes. procedures, already...
During the last decade, a variety of agricultural drought indices have been developed using soil moisture (SM), or any its surrogates, as primary indicator. In this study, comprehensive study four innovative SM-based indices, Soil Water Deficit Index (SWDI), Moisture Agricultural Drought (SMADI), (SMDI) and Wetness (SWetDI), is conducted over large semi-arid crop region in northwest Spain. The were computed on weekly basis from June 2010 to December 2016 1-km satellite SM estimations Ocean...
Soil moisture (SM) is an important component of the Earth’s surface water balance and by extension energy balance, regulating land temperature (LST) evapotranspiration (ET). Nowadays, there are two missions dedicated to monitoring SM using L-band radiometers: ESA’s Moisture Ocean Salinity (SMOS) NASA’s Active Passive (SMAP). LST remotely sensed thermal infrared (TIR) sensors on-board satellites, such as Terra/Aqua MODIS or ESA & EUMETSAT’s MSG SEVIRI. This study provides assessment...
The European Space Agency (ESA)'s Soil Moisture and Ocean Salinity (SMOS) is the first spaceborne mission using L-band radiometry to monitor Earth's global surface soil moisture (SM). After more than 7 years in orbit, many studies have contributed improve quality applicability of SMOS-derived SM maps. In this research, a novel downscaling algorithm for SMOS proposed obtain high-resolution (HR) maps at 1 km (L4), from ~40 native resolution instrument. This introduces concept shape adaptive...
In the last decade, technological advances led to launch of two satellite missions dedicated measure Earth’s surface soil moisture (SSM): ESA’s Soil Moisture and Ocean Salinity (SMOS) launched in 2009, NASA’s Active Passive (SMAP) 2015. The satellites have an L-band microwave radiometer on-board emission. These measurements (brightness temperatures TB) are then used generate global maps SSM every three days with a spatial resolution about 30–40 km target accuracy 0.04 m3/m3. To meet local...
In this study, six satellite-based root zone soil moisture (RZSM) estimates from March 2015 to December 2016 were evaluated both temporally and spatially. The first two the Soil Moisture Active Passive (SMAP) Ocean Salinity (SMOS) L4 RZSM products. other four obtained through Water Index (SWI) approach, which embedded surface (SSM). SMOS-Barcelona Expert Center (BEC) SSM product apparent thermal inertia (ATI)-derived Moderate Resolution Imaging Spectroradiometer (MODIS) data used as...
Global Navigation Satellite System—Reflectometry (GNSS-R) has already proven its potential for retrieving a number of geophysical parameters, including soil moisture. However, single-pass GNSS-R moisture retrieval is still challenge. This study presents comparison two different data sets acquired with the Microwave Interferometer Reflectometer (MIR), an airborne-based dual-band (L1/E1 and L5/E5a), multiconstellation (GPS Galileo) instrument 19-element antenna arrays four electronically...
The Federated Satellite System mission (FSSCat) was the winner of 2017 Copernicus Masters Competition and first third-party based on CubeSats. One FSSCat’s objectives is to provide coarse Soil Moisture (SM) estimations by means passive microwave measurements collected Flexible Microwave Payload-2 (FMPL-2). This payload a novel CubeSat instrument combining an L1/E1 Global Navigation Systems-Reflectometer (GNSS-R) L-band Radiometer (MWR) using software-defined radio. work presents results over...
Active and passive microwave observations over land are affected by surface characteristics in different ways. L-band radar backscatter radiometer measurements each have distinct advantages problematic issues when applied to soil moisture estimation. Spaceborne radiometry has the advantage of better sensitivity geophysical parameter but suffers from coarse spatial resolution given limitations on antenna dimensions. sensing higher resolution, are, relative radiometry, more confounding...
The Federated Satellite Systems/ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> Cat-5 (FSSCat) mission was the winner of European Space Agency (ESA) Sentinel Small (S ) Challenge and overall 2017 Copernicus Masters competition. It consisted two six-unit CubeSats. Earth observation payloads were 1) Flexible Microwave Payload 2 (FMPL-2) onboard Cat-5/A, an L-band microwave radiometer GNSS reflectometer (GNSS-R) implemented using a...
Since its launch in 2009, the ESA's SMOS mission is providing global soil moisture (SM) maps at ∼40 km, using first L-band microwave radiometer on space. Its spatial resolution meets needs of applications, but prevents use data regional or local which require higher resolutions (∼1-10 km). SM disaggregation algorithms based generally land surface temperature (LST) and vegetation indices have been developed to bridge this gap. This study analyzes SM-LST relationship a variety LST acquisition...
CubeSat-based Earth Observation missions have emerged in recent times, achieving scientifically valuable data at a moderate cost. FSSCat is two 6U CubeSats mission, winner of the ESA S3 challenge and overall 2017 Copernicus Masters Competition, that was launched September 2020. The first satellite, 3Cat-5/A, carries FMPL-2 instrument, an L-band microwave radiometer GNSS-Reflectometer. This work presents neural network approach for retrieving sea ice concentration extent maps on Arctic...
FSSCat, the "Federated Satellite Systems/ <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> Cat-5" mission was winner of 2017 ESA S^3 (Sentinel Small Satellite) Challenge and overall Copernicus Masters competition. FSSCat consists two 6 unit cubesats carrying on board UPC's Flexible Microwave Payload - 2 (FMPL-2), an L-band microwave radiometer GNSS-Reflectometer implemented in a software defined radio, Cosine's HyperScout-2 visible near...
Several methods have been developed to provide polar maps of sea ice thickness (SIT) from L-band brightness temperature (TB) and altimetry data. Current process-based inversion yield SIT fail address the complex surface characteristics because is subject strong seasonal dynamics ice-physical properties are often non-linearly related. Neural networks can be trained find hidden links among large datasets perform better on convoluted problems for which traditional approaches miss out important...
Passive microwave remote sensing at L-band is considered to be the most suitable technique measure soil moisture and ocean salinity. These two variables are needed as inputs of predictive models, improve climate weather forecast, increase our knowledge water cycle. Nowadays, there space missions providing frequent global observations salinity Earth's surface with radiometers on-board. The first one ESA's SMOS satellite, launched on November 2, 2009, which carries a two-dimensional,...
A comprehensive understanding of temporal variability subsurface soil moisture (SM) is paramount in hydrological and agricultural applications such as rainfed farming irrigation. Since the SMOS (Soil Moisture Ocean Salinity) mission was launched 2009, globally available satellite SM retrievals have been used to investigate dynamics, based on fact that useful information about contained their time series. along depth profile influenced by atmospheric forcing local properties. Until now,...
This paper presents a comparative study of the radiometric sensitivity and spatial resolution three near-field (NF) passive screener systems: real aperture, 1-D synthetic aperture (SA), 2-D SA radiometers are compared. The analytical expressions for resolution, number required antennas, pixels in image derived taking into account distortion produced by NF geometry at nonboresight directions where is dominant. Based on theoretical results, performance comparison among studied systems carried...
Capability for sea surface salinity observation was an important gap in ocean remote sensing the last few decades of 20th century. New technological developments during 1990s at European Space Agency led to proposal SMOS (Soil Moisture and Ocean Salinity), Earth explorer opportunity mission based on use a microwave interferometric radiometer, MIRAS (Microwave Imaging Radiometer with Aperture Synthesis). SMOS, first satellite ever addressing from space, successfully launched November 2009....
The ESA's Soil Moisture and Ocean Salinity (SMOS, 2009-2017) is the first mission using L-band radiometry to monitor Earth's global surface soil moisture (SM). After more than 7 years in orbit, many studies have contributed improving quality applicability of SMOS-derived SM maps. In this research, a novel downscaling algorithm proposed for retrieving high resolution (1 km) SM. This model an extension "universal triangle" technique, also introduces concept adaptive moving window. Its inputs...
This work summarizes the activities carried out by SMOS (Soil Moisture and Ocean Salinity) Barcelona Expert Center (SMOS-BEC) team in conjunction with CIALE/Universidad de Salamanca team, within framework of European Space Agency (ESA) CALIMAS project preparation for mission during its first year operation. Under these several studies were performed, ranging from Level 1 (calibration image reconstruction) to 4 (land pixel disaggregation techniques, means data fusion higher resolution...
Global Navigation Satellite Systems-Reflectometry (GNSS-R) is an emerging remote sensing technique that makes use of navigation signals as opportunity in a multi-static radar configuration, with many transmitters satellites are view. GNSS-R sensitivity to soil moisture has already been proven from ground-based and airborne experiments, but studies using space-borne data still preliminary. This work presents study Using TechDemoSat-1 over different types surfaces (i.e. vegetation covers)....
Understanding the key variables that characterise fire propagation is important for a better estimation of events and their impacts. This study uses machine learning combined with satellite remote sensing atmospheric modelled data to enhance estimations burned areas. It focuses on intense early summer weather patterns in South Asia during April May 2022 explores relationship between environmental factors spread. The employs various algorithms, including random forest, extra trees, extreme...