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Study of soil moisture retrieval algorithms using multi-angular L-band brightness temperatures: Application to ESA's SMOS earth explorer opportunity mission

Study of soil moisture retrieval algorithms using multi-angu...

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Conference on Remote Sensing for Agriculture, Ecosystems and Hydrology V

作者： Monerris, A Vall-Ilossera, M Camps, A Univ Politecn Cataluna Dept Signal Theory & Commun E-08034 Barcelona Spain

ISBN: (纸本)0819451150

The European Space Agency's Soil Moisture and Ocean Salinity (SMOS) Earth Explorer Opportunity Mission will be launched in 2007. Its goal is the global and frequent measurement of soil moisture over the land and surface salinity over the sea, two key parameters governing the complex global climate. SMOS' single payload is the Microwave Imaging Radiometer by Aperture Synthesis (MIRAS), the first space-borne interferometric radiometer. SMOS will provide brightness temperature data over a wide range of incidence angles at vertical and horizontal polarizations (dual-polarimetric mode) or the full Stokes emission vector (full-polarimetric mode), from which the geophysical parameters will be derived. This paper focuses on the soil moisture retrieval problem using dual or full-polarimetric information. In this case, the brightness temperatures, as measured by the radiometer, depend mainly on five parameters descriptive of the surface under study: vegetation opacity and albedo, and soil surface temperature, roughness and moisture. Some of these parameters can be derived from other sensors or can be inferred from the multi-angular brightness temperatures themselves. Simulation results using the SMOS End-to-end Performance Simulator (SEPS) developed at the Universitat Politecnica de Catalunya (UPC) will be presented and discussed [1].

关键词： soil moisture vegetation microwave radiometry emissivity retrieval algorithms remote sensing

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SMAP - WINDSAT BRIGHTNESS TEMPERATURE MATCH-UPS AS PROXY FOR DEVELOPING CIMR OCEAN retrieval algorithms

SMAP - WINDSAT BRIGHTNESS TEMPERATURE MATCH-UPS AS PROXY FOR...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Meissner, Thomas Ricciardulli, Lucrezia Manaster, Andrew Wentz, Frank Remote Sensing Syst Santa Rosa CA 95401 USA

ISBN: (纸本)9798350320107

Our presentation describes the creations of a match-up set between the SMAP (Soil Moisture Active Passive) and WindSat sensors. The combined set is used for developing and testing ocean retrieval algorithms for sea surface temperature (ST), sea surface salinity (SSS) and ocean surface vector winds (OSVW) that will be measured by the ESA Copernicus Imaging Microwave Radiometer (CIMR).

关键词： Copernicus Imaging Microwave Radiometer Soil Moisture Active Passive WindSat retrieval algorithms sea surface temperature sea surface salinity ocean surface vector winds radiative transfer model

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Comparison of soil moisture retrieval algorithms using simulated HYDROS brightness temperatures

Comparison of soil moisture retrieval algorithms using simul...

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IEEE International Geoscience and Remote Sensing Symposium

作者： O'Neill, P Njoku, E Chan, T Crow, W Hsu, A Shi, JC NASA Goddard Space Flight Ctr Hydrol Sci Branch Greenbelt MD 20771 USA

ISBN: (纸本)0780387422

The HYDROS mission objective is to collect global scale measurements of the Earth's soil moisture and land surface freeze/thaw conditions, using it combined L band radiometer and radar system operating at 1.41 and 1.26 GHz, respectively. In order to examine how HYDROS soil moisture retrieval will he performed and how the retrieval accuracy will be impacted by Vegetation water content and surface heterogeneity, an observing system simulation experiment (OSSE) was conducted using a modeled geophysical domain in the south-central United States centered on the Arkansas-Red River basin for a one-month period in 1994. Three separate radiometer retrieval algorithms were evaluated: (1) a single-channel algorithm (H polarization), (2) a two-channel iterative algorithm, and (3) a two-channel reflectivity ratio algorithm. Analysis indicates that the HYDROS accuracy goal of 4% volumetric soil moisture can be met anywhere in the test basin except woodland areas. Nonlinear scaling of higher resolution ancillary vegetation data can adversely affect algorithm retrieval accuracies, especially in heavy tree areas on the east side of the basin.

关键词： soil moisture HYDROS retrieval algorithms microwave radiometery

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New Satellite Passive Microwave retrieval algorithms and their Application to Study Atmospheric Phenomena and Oceanic Parameters

New Satellite Passive Microwave Retrieval Algorithms and the...

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International Conference on Remote Sensing, Environment and Transportation Engineering

作者： Elizaveta Zabolotskikh Bertrand Chapron Leonid Bobylev Satellite Oceanography Laboratory RSHU St. Petersburg Russia Department of Oceanography and Ecosystem Dynamics IFREMER Brest France Nansen Centre St. Petersburg Russia

ISBN: (纸本)9781467308724

The new high accuracy algorithms for atmospheric and oceanic parameter retrievals from satellite passive microwave measurement data, based on Neural Network (NN) technique, employed for the radiative transfer equation inversion, are considered in this study. Extensive calibration of Special Sensor Microwave Imager/Sounder (SSMIS) measurement data onboard Defense Meteorological Satellite Program (DMSP) satellites (F16, F17 and F18) is fulfilled against the geophysical model used for brightness temperature calculations. The application of these algorithms, along with previously developed, applicable to Special Sensor Microwave/Imager (SSM/I) and Advanced Microwave Sounding Radiometer - Earth Observing System (AMSR-E) instruments, to satellite data allows conducting various case studies, including synoptic-scale and mesoscale weather system (e.g. polar lows, extratropical and tropical cyclones) investigation. Several case studies of weather systems in tropical and polar regions are comprehensively considered, involving all available satellite and in-situ data, with an accent on satellite passive microwave data usage.

关键词： satellite passive microwave data Neural Networks retrieval algorithms multisensor data usage, weather system studies

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THE BIOMASS MISSION retrieval algorithms: RESULTS FROM RECENT CAMPAIGNS

THE BIOMASS MISSION RETRIEVAL ALGORITHMS: RESULTS FROM RECEN...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Thuy Le Toan Lars Ulander Kostas Papathanassiou Fabio Rocca Shaun Quegan Malcolm Davidson Klaus Scipal CESBIO CNRS-CNES-Universite Paul Sabatier-IRD Department of Radar Systems FOI German Aerospace Center e. V. (DLR) Dipartimento di Elettronica ed Informazione Politecnico di Milano Centre for Terrestrial Carbon Dynamics University of Sheffield ESA-ESTEC

ISBN: (纸本)9781467311601

The BIOMASS mission is designed to map the full range of the world's above-ground forest biomass, for the needs of national scale inventory and global carbon flux calculations. This objective is achieved with advanced P-band SAR techniques. The P-band biomass measurement concept was based on previous work over the past two decades. During the preparatory phase, new campaigns have been conducted to address critical issues on the biomass retrieval algorithms, over tropical and boreal forests. The collected datasets comprise accurate and complete sets of in situ data and advanced P-band SAR data. This paper presents the retrieval algorithms developed using the collected datasets.

关键词： BIOMASS mission P-band SAR Polarimetry Pol-InSAR Tomography retrieval algorithms

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Lens less shadow imaging via fusion of phase retrieval and image reconstruction from correlations algorithms

Lens less shadow imaging via fusion of phase retrieval and i...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Cain, Stephen C. Air Force Institute of Technology United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

The recent global pandemic has served to intensify interest in analyzing microdroplets suspended in the air that can possibly carry pathogens thus demonstrating an airborne transmission mechanism with potentially devastating consequences. Although COVID-19 turned out to be not as virulent as some other diseases encountered in the past, the possibility of airborne transmission of diseases remains a substantial concern. In this paper the potential for an optical sensor to image airborne particles is investigated. The proposed sensor would use optical radiation to probe the atmosphere through a pinhole aperture. Simulations conducted as part of this research reveal that droplets of the diameter in the range of micrometers can be imaged using the proposed technique, thus potentially allowing for the content of the air to be characterized with regard to its droplet size distribution and density. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Optical Sensor Optical Radiation Transmittance retrieval algorithms Iterative Algorithm Image Formation Computing

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A Novel Land Surface Temperature retrieval Algorithm for SDGSAT-1 Images

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2025年 63卷

作者： Li, Na Xu, Jianhui Li, Xu Qin, Boxiong Wang, Yunpeng Fu, Dongjie Zhong, Kaiwen Qin, Zhihao Chinese Acad Sci Guangzhou Inst Geochem State Key Lab Organ Geochem Guangzhou 510640 Peoples R China Univ Chinese Acad Sci Coll Earth & Planetary Sci Beijing 100049 Peoples R China Guangdong Acad Sci Guangdong Engn Technol Res Ctr Remote Sensing Big Guangzhou Inst Geog Guangdong Open Lab Geospatial Informat Technol & A Guangzhou 510070 Peoples R China Chinese Acad Sci Guangdong Prov Key Lab Appl Bot South China Bot Garden Guangzhou 510650 Peoples R China Chinese Acad Sci Key Lab Vegetat Restorat & Management Degraded Eco South China Bot Garden Guangzhou 510650 Peoples R China Chinese Acad Sci Inst Geog Sci & Nat Resources Res State Key Lab Resources & Environm Informat Syst Beijing 100101 Peoples R China Univ Chinese Acad Sci Coll Resources & Environm Beijing 100049 Peoples R China Chinese Acad Agr Sci Inst Agroresources & Reg Planning Lab Agr Ecol Beijing 100081 Peoples R China

Land surface temperature (LST) is a crucial parameter influencing Earth-atmosphere interactions and energy balance processes. The Sustainable Development Goals Science Satellite 1 (SDGSAT-1) was recently launched to support the realization of the United Nations Sustainable Development Goals (SDGs), which provides worldwide three-spectrum wide-swath, high-resolution, and high-sensitivity thermal infrared (TIR) images. The objective of this study is to develop a modified three-channel split-window algorithm incorporating atmospheric water vapor content (W-TCSW) for LST retrieval from SDGSAT-1 images. This algorithm was developed from the existing split-window (SW) form. The parameters of the algorithm were determined based on the MODerate resolution atmospheric TRANsmission (MODTRAN) simulation results of 946 Thermodynamic Initial-Guess retrieval (TIGR) atmospheric profiles. The W-TCSW algorithm was comprehensively compared with the SW and three-channel SW (TCSW) algorithms. The retrieval results of the three algorithms were validated with simulated datasets and in situ measurements from the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) sites in China and the Surface Radiation Budget Network (SURFRAD) sites in USA. The SDGSAT-1 data retrieved by the W-TCSW algorithm was also intercompared with Landsat and ECOSTRESS LST products. The W-TCSW algorithm demonstrated the highest accuracy among the three retrieval algorithms (SW, TCSW, and W-TCSW). The influences of atmospheric water vapor content (AWVC) and land surface emissivity (LSE) as well as land use and land cover (LULC) on retrieval algorithms were discussed in a long-term time series. This study introduces a novel LST retrieval algorithm considering AWVC for SDGSAT-1 images and elucidates comprehensive validation and comparative assessment, expanding the application of high-spatial resolution TIR remote sensing data.

关键词： Land surface temperature Spatial resolution Land surface Grasslands Sensors Remote sensing MODIS Atmospheric measurements Landsat Vegetation mapping Land surface temperature (LST) retrieval algorithms Sustainable Development Goals Science Satellite 1 (SDGSAT-1) validation

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Intercomparison of retrieval codes used for the analysis of high-resolution, ground-based FTIR measurements

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JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER 2004年第1期87卷 25-52页

作者： Hase, F Hannigan, JW Coffey, MT Goldman, A Höpfner, M Jones, NB Rinsland, CP Wood, SW Forschungszentrum Karlsruhe IMK ASF D-76021 Karlsruhe Germany Natl Inst Water & Atmospher Res Ltd Central Otago New Zealand NASA Langley Res Ctr Hampton VA USA Univ Wollongong Dept Chem Wollongong NSW 2522 Australia Univ Denver Dept Phys Denver CO 80208 USA Natl Ctr Atmospher Res Div Atmospher Chem Boulder CO 80303 USA

A rigorous and systematic intercomparison of codes used for the retrieval of trace gas profiles from high-resolution ground-based solar absorption FTIR measurements is presented for the first time. Spectra were analyzed with the two widely used independent, retrieval codes: SFIT2 and PROFFIT9. Vertical profiles Of O-3 HNO3, HDO, and N2O were derived from the same set of typical observed spectra. Analysis Of O-3 was improved by using updated line parameters. It is shown that profiles and total column amounts are in excellent agreement, when similar constraints are applied, and that the resolution kernel matrices are also consistent. Owing to the limited altitude resolution of ground-based observations, the impact of the constraints on the solution is not negligible. It is shown that the results are also compatible for independently chosen constraints. Perspectives for refined constraints are discussed. It can be concluded that the error budget introduced by the radiative transfer code and the retrieval algorithm on total columns deduced from high-resolution ground-based solar FTIR spectra is below 1%. (C) 2004 Elsevier Ltd. All rights reserved.

关键词： infrared spectroscopy atmospheric trace gases radiative transfer retrieval algorithms

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Hyperspectral radiative transfer modeling to explore the combined retrieval of biophysical parameters and canopy fluorescence from FLEX - Sentinel-3 tandem mission multi-sensor data

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REMOTE SENSING OF ENVIRONMENT 2018年 204卷 942-963页

作者： Verhoef, Wouter van der Tol, Christiaan Middleton, Elizabeth M. Univ Twente Fac Geoinformat Sci & Earth Observat ITC Hengelosestr 99POB 217 NL-7500 AE Enschede Netherlands NASA Goddard Space Flight Ctr Biospher Sci Lab Greenbelt MD 20771 USA

The FLuorescence EXpiorer (FLEX) satellite mission, selected as ESA's 8th Earth Explorer, has been designed for the measurement of sun-induced fluorescence (F) spectra emitted by plants. This will be accomplished through a multi-sensor approach by placing it in a common orbit in tandem with the Sentinel-3 (S3) mission, which will have two optical sensors on board, OLCI (Ocean and Land Colour Instrument) and SLSTR (Sea and Land Surface Temperature Radiometer) to complement FLEX. These S3 instruments will be used in combination with the imaging spectrometers on board FLEX to provide data useful for atmospheric correction of FLEX data. However, a fully synergetic approach, i.e. by exploiting the spectral and directional information from all tandem mission instruments together, is an attractive alternative which is explored in this paper. By employing all combined top of-atmosphere (TOA) spectral radiance data, one can (i) characterize the relevant optical properties of the atmosphere, (ii) retrieve biophysical canopy properties including the associated reflectance anisotropy, and (iii) retrieve a more accurate and consistent canopy F. Regarding retrieval methods, Fraunhofer Line Depth (FLD) and Spectral Fitting (SF) are well-known techniques applied to hyperspectral data. Both methods depend on a high spectral resolution and assume a Lambertian (isotropic) canopy reflectance. However, most vegetation canopies are non-Lambertian. This implies that, in particular when ignoring the anisotropic surface reflection, substantial retrieval errors can occur due to the interaction between atmospheric absorption bands and surface reflectance anisotropy. In this paper, a novel method based on spectral radiative transfer (RT) modeling is proposed, in which coupled RT models are used to simulate TOA radiance spectra. These are then matched with `measured' spectra in order to retrieve surface fluorescence, along with a suite of biophysical parameters, by model inversion through optim

关键词： Sun-induced fluorescence FLEX mission Sentinel-3 retrieval algorithms Biophysical parameters Radiative transfer Simulation SCOPE SAIL Anisotropy

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A systems approach to GPM dual-frequency retrieval

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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2005年第8期43卷 1816-1826页

作者： Rose, CR Chandrasekar, V Colorado State Univ Ft Collins CO 80523 USA

A systems approach to the development of spaceborne dual-frequency radar retrievals is presented. The necessary integral equations governing the backscatter and forward scatter propagation of electromagnetic waves are redeveloped through the parameters of the drop-size distribution (DSD) namely the median drop diameter, D., and normalized intercept parameter N.. The backward iteration algorithm using these equations is reviewed and cast in terms of a closed-loop control-system model with feedback on measured radar reflectivity values. This model is preferred over the fixed-point method because the closed-loop model calculates and iterates based on the input variables for measured reffectivity instead of using attenuation as a loop control variable. The closed-loop model is examined and analyzed in terms of sensitivity to measurement error and DSD parameters and is used to describe and develop the convergence region of the retrievals in the DSD space. The impact of the convergence region is evaluated to define the relative contribution of the methodology in a global sense. It is shown that about half the rainfall falls into the convergence zone demonstrated in this paper.

关键词： drop-size distribution (DSD) estimation Global Precipitation Measurement (GPM) retrieval algorithms

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