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Conference on Microwave Remote Sensing of the Atmosphere and Environment

作者： Liu, QH Simmer, C Raytheon STX Lanham MD 20706 USA

ISBN: (纸本)0819429627

Regression method, look-up table technique, neural network, and physical inversion method are discussed in this study. Results from model calculations and measurements show that all retrieval algorithms achieve the similar accuracy for total precipitable water and sea surface wind. However, in contrast to the regression method physical inversion method, look-up table technique, and neural network yield a better accuracy for the cloud liquid water path. Instantaneous comparisons between ship-based radiosonding and the estimate from Special Sensor Microwave/Imager (SSM/I) give rms errors of 2.9 Wm(-2) and 2.7 ms(-1) for the total column water vapor and sea surface wind, respectively. Due to the limit of data source comparison for cloud liquid water path is only performed for different data sets. Comparison for precipitation is only carried out with different algorithms.

关键词： retrieval algorithms SSM/I

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Fluorescence component in the reflectance spectra from coastal waters. II. Performance of retrieval algorithms

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OPTICS EXPRESS 2008年第4期16卷 2446-2460页

作者： Gilerson, A. Zhou, J. Hlaing, S. Ioannou, I. Gross, B. Moshary, F. Ahmed, S. CUNY City Coll Dept Elect Engn Opt Remote Sensing Lab New York NY 10031 USA

retrieval of chlorophyll fluorescence magnitude using Fluorescence Height algorithms in coastal waters is more complicated than in the open ocean because of the strong deviations of elastic reflectance within the fluorescence band from the derived fluorescence baseline. We use results of our recently established relationship between fluorescence magnitude and concentrations of water constituents together with extensive HYDROLIGHT simulations, field and satellite data to analyze the performance and retrieval limitations of MODIS and MERIS FLH algorithms in the variety of coastal waters and to examine improvements for spectral band selection suitable for future sensors. (C) 2008 Optical Society of America.

关键词： .MODIS QUANTUM YIELD HYDROLIGHT open ocean satellite data retrieval algorithms MERIS coastal waters Fluorescence component Gross Moshary fluorescence magnitude Fluorescence Height elastic reflectance FLH

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Parametric rainfall retrieval algorithms for passive microwave radiometers

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JOURNAL OF APPLIED METEOROLOGY 2003年第10期42卷 1480-1496页

作者： Shin, DB Kummerow, C Colorado State Univ Dept Atmospher Sci Ft Collins CO 80523 USA George Mason Univ Sch Computat Sci Ctr Earth Observing & Space Res Fairfax VA 22030 USA

A methodology is described to construct fully parametric rainfall retrieval algorithms for a variety of passive microwave sensors that exist today and are planned for the future. The Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) is used to retrieve nonraining geophysical parameters. The method then blends these background geophysical parameters with three-dimensional precipitation fields obtained by matching the TRMM precipitation radar (PR) reflectivity profiles with cloud-resolving model simulations to produce a consistent three-dimensional atmospheric description. Based upon this common description, radiative transfer simulations corresponding to specific microwave sensors are then employed to compute radiances from clear and rainy scenes, as might be seen by any specified microwave radiometer. Last, a Bayesian retrieval methodology is used in conjunction with this database to derive the most likely surface rainfall as well as its vertical structure. By avoiding any dependencies on specific channels or channel combinations, the technique can readily be adapted to different sensor configurations. The algorithm performance is tested for a variety of sensor designs using synthetic retrievals to demonstrate its capability for consistent rainfall estimates. Whereas actual retrievals would be sensitive to the details of the a priori database construction, results from this study indicate that even modest radiometers can retrieve unbiased rainfall rates when constrained by an a priori database constructed from the TRMM satellite. Random errors are correlated to unobserved variations in the vertical and horizontal structure of the precipitation and, thus, depend upon sensor design specifications. The fidelity of these synthetic retrievals is briefly examined by comparing the simulated brightness temperature (T-b) generated in this study with direct observations by the TRMM TMI. Good physical consistency between the simulated and TRMM observed T(b)s is

关键词： .Rainfall retrieve channels construct ectivity geophysical parameters retrieval algorithms TMI TRMM nonraining passive microwave sensors cloud-resolving

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A study of multiyear ice concentration retrieval algorithms using AMSR-E data

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Acta Oceanologica Sinica 2015年第9期34卷 102-109页

作者： HAO Guanghua SU Jie Key Laboratory of Physical Oceanography Ocean University of China

In recent years, the rapid decline of Arctic sea ice area （SIA） and sea ice extent （SIE）, especially for the multiyear （MY） ice, has led to significant effect on climate change. The accurate retrieval of MY ice concentration retrieval is very important and challenging to understand the ongoing changes. Three MY ice concentration retrieval algorithms were systematically evaluated. A similar total ice concentration was yielded by these algorithms, while the retrieved MY sea ice concentrations differs from each other. The MY SIA derived from NASA TEAM algorithm is relatively stable. Other two algorithms created seasonal fluctuations of MY SIA, particularly in autumn and winter. In this paper, we proposed an ice concentration retrieval algorithm, which developed the NASA TEAM algorithm by adding to use AMSR-E 6.9 GHz brightness temperature data and sea ice concentration using 89.0 GHz data. Comparison with the reference MY SIA from reference MY ice, indicates that the mean difference and root mean square （rms） difference of MY SIA derived from the algorithm of this study are 0.65×10^6 km^2 and 0.69×10^6 km^2 during January to March, -0.06×10^6 km^2 and 0.14×10^6 km^2during September to December respectively. Comparison with MY SIE obtained from weekly ice age data provided by University of Colorado show that, the mean difference and rms difference are 0.69×10^6 km^2 and 0.84×10^6 km^2, respectively. The developed algorithm proposed in this study has smaller difference compared with the reference MY ice and MY SIE from ice age data than the Wang＇s, Lomax＇ and NASA TEAM algorithms.

关键词： multiyear ice concentration retrieval algorithms AMSR-E data

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Evaluation of chlorophyll-a retrieval algorithms based on MERIS bands for optically varying eutrophic inland lakes

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SCIENCE OF THE TOTAL ENVIRONMENT 2015年 530卷 373-382页

作者： Lyu, Heng Li, Xiaojun Wang, Yannan Jin, Qi Cao, Kai Wang, Qiao Li, Yunmei Nanjing Normal Univ Coll Geog Sci Minist Educ Key Lab Virtual Geog Environm Nanjing 210023 Jiangsu Peoples R China Jiangsu Ctr Collaborat Innovat Geog Informat Reso Nanjing 210023 Jiangsu Peoples R China Chongqing Inst Surveying & Planning Land Resource Chongqing 400020 Peoples R China Natl Univ Singapore Dept Geog Singapore 117570 Singapore Minist Environm Protect Satellite Environm Applicat Ctr Beijing 100029 Peoples R China

Fourteen field campaigns were conducted in five inland lakes during different seasons between 2006 and 2013, and a total of 398 water samples with varying optical characteristics were collected. The characteristics were analyzed based on remote sensing reflectance, and an automatic cluster two-step method was applied for water classification. The inland waters could be clustered into three types, which we labeled water types I, II and III. From water types I to III, the effect of the phytoplankton on the optical characteristics gradually decreased. Four chlorophyll-a retrieval algorithms for Case II water, a two-band, three-band, four-band and SCI (Synthetic Chlorophyll Index) algorithm were evaluated for three water types based on the MERIS bands. Different MERIS bands were used for the three water types in each of the four algorithms. The four algorithms had different levels of retrieval accuracy for each water type, and no single algorithm could be successfully applied to all water types. For water types I and III, the three-band algorithm performed the best, while the four-band algorithm had the highest retrieval accuracy for water type II. However, the three-band algorithm is preferable to the two-band algorithm for turbid eutrophic inland waters. The SCI algorithm is recommended for highly turbid water with a higher concentration of total suspended solids. Our research indicates that the chlorophyll-a concentration retrieval by remote sensing for optically contrasted inland water requires a specific algorithm that is based on the optical characteristics of inland water bodies to obtain higher estimation accuracy. (C) 2015 Elsevier B.V. All rights reserved.

关键词： Chlorophyll-a concentration retrieval algorithms MERIS bands Optical clustering Accuracy evaluation

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Radiative transfer model MCC plus plus with evaluation of weighting functions in spherical atmosphere for use in retrieval algorithms

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TRACE CONSTITUENTS IN THE TROPOSPHERE AND LOWER STRATOSPHERE 2004年第4期34卷 721-+页

作者： Postylyakov, OV RAS AM Obukhov Inst Atmospher Res Moscow 119017 Russia

A linearized radiative transfer model MCC++ designed for use in retrieval algorithms was developed. It calculates the weighting functions with respect to the absorption in all atmospheric layers and the layer air mass factors simultaneously with the intensities. Multiple scattering radiance is calculated by the Monte Carlo methods for spherical atmosphere taking into account the polarization of light, aerosol loading of atmosphere and the Lambertian surface albedo. A validation of the MCC++ model against other radiative transfer models is presented. It includes a comparison of weighting function calculations, a comparison for the scattering limb geometry, a comparison for twilight ground-based observations. As an example, additional errors of Brewer Umkehr retrieval algorithms, when they use the weighting functions calculated for approximation of single-scattering, are evaluated. (C) 2004 COSPAR. Published by Elsevier Ltd. All rights reserved.

关键词： radiative transfer model for spherical atmosphere multiple scattering weighting functions air mass factors inverse problems retrieval algorithms

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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 (IGARSS)

作者： Thuy Le Toan Ulander, Lars Papathanassiou, Kostas Rocca, Fabio Quegan, Shaun Davidson, Malcolm Scipal, Klaus Univ Toulouse 3 IRD CESBIO CNRSCNES F-31062 Toulouse France

ISBN: (纸本)9781467311595

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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SCISAT-1: retrieval algorithms, ACE-FTS testing and the ACE database

SCISAT-1: Retrieval algorithms, ACE-FTS testing and the ACE ...

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Conference on Earth Observing Systems VIII

作者： Nassar, R Boone, C Walker, KA McLeod, SD Bernath, PF Univ Waterloo Dept Chem Waterloo ON N2L 3G1 Canada

ISBN: (纸本)0819450243

The SCISAT-1 mission, also known as the Atmospheric Chemistry Experiment (ACE), is a Canadian satellite mission to investigate the chemical and dynamical processes that control the distribution of ozone in the stratosphere and upper troposphere. The satellite is scheduled to launch in August 2003, carrying two main instruments: a high-resolution infrared Fourier transform spectrometer (ACE-FTS) and a dual grating UV-Vis-NIR spectrometer known as MAESTRO (Measurement of Aerosol Extinction in the Stratosphere and Troposphere Retrieved by Occultation) both operating primarily in solar occultation mode. Aspects of the mission pertaining to work done by ACE science team members from the University of Waterloo will be described, such as: the ACE-FTS forward model for retrieval of temperature, pressure and VMR profiles;ACE-FTS instrument testing and results;and the ACE Database along with data storage and processing hardware.

关键词： atmospheric remote sensing Fourier transform spectroscopy retrieval algorithms instrument testing

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Comparison of retrieval algorithms for the Wet Tropospheric Path Delay

Comparison of Retrieval Algorithms for the Wet Tropospheric ...

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13th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)

作者： Thao, S. Obligis, E. Picard, B. Frery, M-L. Eymard, L. CLS Space Oceanog Div Ramonville St Agne France LOCEAN CNRS IPSL Paris France

ISBN: (纸本)9781479946440

This paper provides a comparative analysis of statistical algorithms for the retrieval of the wet tropospheric correction from microwave radiometers in the context of altimetry missions. The algorithms are based on the algorithms used in Envisat and Jason-1 missions. The objective of this comparison is two-folds: 1) To find which regression method is better suited for the retrieval between the neural network algorithm and the log linear regression. 2) To tackle the problem of variable selection, i.e. to find the best set of variables to include as inputs in order to reduce the retrieval error. In particular, we want to determine whether the lack of a radiometer third channel at 18GHz can be compensated by the altimeter backscattering coefficient. Several configurations of algorithms, including those used in the operational processing of altimetry missions such as JASON-1 or ENVISAT, are built and compared on the same learning and test databases to determine which retrieval strategy is more appropriate. The database is composed of atmospheric and oceanographic conditions taken from the European Centre for Medium-Range Weather Forecasts (ECMWF) analyses and the brightness temperatures are simulated using a radiative transfer model. The importance of each input for the different algorithms is analyzed and the performances of the different algorithms are assessed in terms of error (bias and standard deviation) but also in terms of geographical distribution of the errors and correlation with other environmental variables. The results are then validated on Jason-2 radiometer measurements. Our results show that, in terms of variable selection, better results were obtained when the brightness temperature at 18 GHz was used instead of the backscattering coefficient. Moreover, better estimations of the wet tropospheric path delay were obtained with neural networks.

关键词： wet tropospheric path delay water vapor retrieval algorithms artificial neural networks

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Hydros Soil Moisture retrieval algorithms: Status and Relevance to Future Missions

Hydros Soil Moisture Retrieval Algorithms: Status and Releva...

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IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： O'Neill, Peggy Owe, Manfred Gouweleeuw, Ben Njoku, Eni Shi, J. C. Wood, Eric NASA Goddard Space Flight Ctr Hydrol Sci Branch Code 614-3 Greenbelt MD 20771 USA NASA Jet Prop Lab Pasadena CA 91109 USA Univ Calif Santa Barbara Santa Barbara CA 93106 USA Princeton Univ Dept Civil & Environm Engn Princeton NJ 08854 USA

ISBN: (纸本)9780780395091

In 2002 the Hydrosphere State Mission (Hydros) was selected by NASA as the alternate mission for a flight opportunity under its Earth System Science Pathfinder program. The Hydros mission objective was to collect the first global scale measurements of the Earth's soil moisture and land surface freeze/thaw conditions, using a combined L band radiometer and radar system operating at 1.41 and 1.26 GHz, respectively. Although NASA cancelled the Hydros mission in December 2005 due to insufficient funding and its reversion back to alternate mission status, the development of accurate soil moisture retrieval algorithms and associated error analyses begun under the Hydros project are still relevant to SMOS and to other potential future soil moisture missions.

关键词： soil moisture Hydros retrieval algorithms microwave radiometry error budget

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