Analysis of SMOS brightness temperature and vegetation optical depth data with coupled land surface and radiative transfer models in Southern Germany [PDF]
Hydrology and Earth System Sciences, 2012 Soil Moisture and Ocean Salinity (SMOS) L1c brightness temperature and L2 optical depth data are analysed with a coupled land surface (PROMET) and radiative transfer model (L-MEB).
F. Schlenz +3 more
doaj +1 more source
Performance of SMAP and SMOS Salinity Products under Tropical Cyclones in the Bay of Bengal
Remote Sensing, 2022 To compare the accuracy of satellite salinity data of level-3 Soil Moisture Active Passive V4.0 (SSMAP) and debiased v5 CATDS level-3 Soil Moisture and Ocean Salinity (SSMOS) before and after tropical cyclones (TCs) in the Bay of Bengal (BoB), this study
Huabing Xu, Yucai Shan, Guangjun Xu
doaj +1 more source
A review of RFI mitigation techniques in microwave radiometry [PDF]
, 2019 Radio frequency interference (RFI) is a well-known problem in microwave radiometry (MWR). Any undesired signal overlapping the MWR protected frequency bands introduces a bias in the measurements, which can corrupt the retrieved geophysical parameters ...
Camps Carmona, Adriano José +2 more
core +2 more sources
Parametric design method of building structured cabling system oriented to data mining
IET Networks, EarlyView., 2022 This paper puts forward the method of secondary development and design software through the research of building structured cabling system (SCS), and uses data mining technology to carry out parametric design of building SCS. Then, the feasibility of the design is tested by comparing the data of the traditional design and the parametric design ...
Bing Wang, Wei Yue
wiley +1 more source
2000 days of SMOS at the Barcelona Expert Centre: a tribute to the work of Jordi Font
Scientia Marina, 2016 Soil Moisture and Ocean Salinity (SMOS) is the first satellite mission capable of measuring sea surface salinity and soil moisture from space. Its novel instrument (the L-band radiometer MIRAS) has required the development of new algorithms to process ...
Antonio Turiel +9 more
doaj +1 more source
Remote Sensing, 2020 Remote sensing observations that vary in response to plant growth and senescence can be used to monitor crop development within and across growing seasons.
Colin Lewis-Beck +4 more
doaj +1 more source
Evaluation of Satellite-Derived Surface Soil Moisture Products over Agricultural Regions of Canada
Remote Sensing, 2020 Soil moisture is a critical indicator for climate change and agricultural drought, but its measurement is challenging due to large variability with land cover, soil type, time, space and depth.
Yaasiin Oozeer +2 more
doaj +1 more source
An improved perspective in the spatial representation of soil moisture: potential added value of SMOS disaggregated 1 km resolution “all weather” product [PDF]
Hydrology and Earth System Sciences, 2019 This study uses the synergy of multi-resolution soil moisture (SM) satellite estimates from the Soil Moisture Ocean Salinity (SMOS) mission, a dense network of ground-based SM measurements, and a soil–vegetation–atmosphere transfer (SVAT) model, SURFEX ...
S. Khodayar +3 more
doaj +1 more source
VALIDATION OF SMOS L2 AND L3 SOIL MOISTURE PRODUCTS OVER THE DUERO BASIN AT DIFFERENT SPATIAL SCALES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 An increasing number of permanent soil moisture measurement networks are nowadays providing the means for validating new remotely sensed soil moisture estimates such as those provided by the ESA’s Soil Moisture and Ocean Salinity (SMOS) mission.
A. González-Zamora +5 more
doaj +1 more source
Remote Sensing, 2018 A new methodology using a combination of debiased non-Bayesian retrieval, DINEOF (Data Interpolating Empirical Orthogonal Functions) and multifractal fusion has been used to obtain Soil Moisture and Ocean Salinity (SMOS) Sea Surface Salinity (SSS) fields
Estrella Olmedo +3 more
doaj +1 more source