4 edition of SeaWiFS calibration and algorithm validation found in the catalog.
SeaWiFS calibration and algorithm validation
by National Aeronautics and Space Administration, National Technical Information Service, distributor in [Washington, DC, Springfield, Va
Written in English
|Statement||submitted by Robert J. Parada, Jr.; Philip N. Slater, principal investigator.|
|Series||[NASA contractor report] -- NASA-CR-202420., NASA contractor report -- NASA CR-202420.|
|Contributions||Slater, Philip N., United States. National Aeronautics and Space Administration.|
|The Physical Object|
If an algorithm has similar performance in all regions, including those not used in the original algorithm calibration, then it can be considered as a “global” algorithm and can be used with confidence everywhere, even where there is no in situ data for validation. If an algorithm performs differently in different regions then it must be Cited by: 2P! Validation of MIPAS-Envisat CH4 and N2O CFC and CFC by Airborne In Situ Observations () J. Baehr, C. M. Volk, E. Ivanova et al. 2P! Improvement of the SCIAMACHY Radiometric Calibration and its Validation on Solar Irradiances in the Spectral Range from to nm ()! J. Skupin, K. Gerilowski, S. Noël et al. 2P!
Validation. The process of assessing, by independent means, the quality of the data products derived from the system outputs. The quality is determined with respect to the specified requirements (Joint Committee for Guides in Metrology JCGM (includes ISO) ; Randa et al., ; CEOS Working Group on Calibration and Validation, ). Mapping of total suspended matter concentration (TSM) can be achieved from space-based optical sensors and has growing applications related to sediment transport. A TSM algorithm is developed here for turbid waters, suitable for any ocean colour sensor including MERIS, MODIS and SeaWiFS. Theory shows that use of a single band provides a robust and TSM-sensitive Cited by:
Post Calibration of Channels 1 and 2 of Long-Term AVHRR Data Record Based on Seawifs Data and Pseudo-Invariant Targets. Remote Sensing of Environment, , [/]. Spectroradiometric Calibration Assembly: SRTM: Shuttle Radar Topography Mission: SSEC: Space Science Engineering Center (Univ. of Wisconsin) SWIR: Shortwave Infrared: SeaWiFS: Sea-viewing Wide Field-of-view Sensor: T; TEB: Thermal Emissive Band: TIR: Thermal-Infrared: TIROS: Television Infrared Observation Satellite: TOA: Top-of-the .
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SeaWiFS had used the Marine Optical Buoy for vicarious calibration. The SeaWiFS Mission is an industry/government partnership, with NASA 's Ocean Biology Processing Group at Goddard Space Flight Center having responsibility for the data collection, processing, calibration, validation, archive and distribution.
Get this from a library. SeaWiFS calibration and algorithm validation: annual report. [Robert J Parada; Philip N Slater; United States. National Aeronautics and Space Administration.]. Get this from a library.
SeaWiFS calibration and algorithm validation: annual report for NASA grant NAGW. [Robert J Parada; Philip N Slater; United States.
National Aeronautics and Space Administration.]. Request PDF | The calibration and validation of SeaWIFS data | The Sea-viewing Wide Field-of-view Sensor (SeaWiFS) is the successor ocean color imaging system to. SeaWiFS calibration/ validation strateg y is the U.S. $ Book. Full-text available.
To clarify why the NASA algorithm performed better in the retrieval of α, scatter plots of the α. internationally accepted units of physical measurement, the SI units. 2 For optimum accuracy and the long-term stability of an absolute calibration, it is necessary to establish traceability to an SI unit.
However, it is more important to determine to which SI unit the measurement must be traceable and whether traceability to an SI unit is even necessary.
incorporate algorithm updates and advances from community and science teams 3. incorporate knowledge gained in instrument-specific radiometric calibration and updates to vicarious calibration Status • CZCS, OCTS, VIIRS, MODISA, MODIST, SeaWiFS (& GOCI) done • File Size: 3MB.
Initial NASA Processing of MERIS for Ocean Color. Introduction. Through a recent data exchange agreement between NASA and ESA, the OBPG acquired the full MERIS global reduced resolution (RR) dataset spanning the operational period of the MERIS/Envisat mission from March to Apriland acquisition of all available full-resolution (FR) data is in progress.
The NASA Ocean Biology Processing Group's Calibration and Validation(Cal/Val) team has undertaken an analysis of the mission-long Sea-Viewing Wide Field-of-View Sensor (SeaWiFS)solar calibration time series to assess the long-term degradation of the solar diffuser reflectance over 9 years on orbit.
Lessons from previous ocean color missions highlight the importance of the steps depicted in Figure (pre-launch tests, stability monitoring, vicarious calibration, product and algorithm validation with in situ data, data processing/reprocessing and improved products/algorithms, and mission feedback).
Sensor Calibration. Whether a sensor or instrument gives alarm at a proper time depends on its ability to translate the quantity of gas it detects into an accurate reading. “Calibration” refers to a sensor's measurement accuracy relative to a known concentration of gas.
Data and images displayed on STAR sites are provided for experimental use only and are not official operational NOAA products. More information>>. The NASA Ocean Biology Processing Group's Calibration and Validation Team has analyzed the mission-long Sea-Viewing Wide Field-of-View Sensor(SeaWiFS) on-orbit gain and detector calibration time series to verify that lunar calibrations, obtained at nonstandard gains and radiance ranges, are valid for Earth data collected at standard gains and typical ocean, cloud,and land.
Title: Calibration and Validation 1 Calibration and Validation Christopher R. Bennett Director - Data Collection Ltd. 2 Reliability of Results Depend On. How well data provided represent the real conditions being analysed as understood by the model ; How well the predictions of the model fit the real behaviour and the interactions between the.
Calibration and Characterization of Satellite Sensors and Accuracy of Derived Physical Parameters: Proceedings of the A Symposium of COSPAR Scientific Commission A which was Held During the Thirty-third COSPAR Scientific Assembly, Warsaw, Poland, July, Advances in space research Volume 33 of Cospar Scientific Assembly: Editor: Kiyoshi.
This banner text can have markup. web; books; video; audio; software; images; Toggle navigation. The validation of the retrievals of biophysical products derived from optical remote sensing systems is always a difficult activity, because it requires the simultaneous measurements of a complete set of parameters about atmospheric status to check atmospheric correction procedures, surface radiometric data for vicarious calibration and testing.
O’Reilly JE et al () SeaWiFS Postlaunch Calibration and Validation Analyses, Part 3. NASA Technical MemorandumHooker SB, Firestone ER, (eds.) (NASA Goddard Space Flight Center), p 49 Google ScholarCited by: 6. SeaWiFS Postlaunch Technical Report Series Stanford B.
Hooker, Editor concentration waters in near proximity to a major port and home to a deep water research vessel would allow radiometric calibration and algorithm validation over the widest range of phytoplankton biomass. Four sensors were in ﬂight during the period of the cruise.
radiometric calibration and algorithm validation over the widest range of phytoplankton biomass. Few opportu- The SeaWiFS data set has had the benefit of routine lunar calibrations that establish data stability, indepen- These activities and results were presented in a book, edited by L.V. Shan- non.
book. Other online analysis tools are also introduced here. mentation, to calibration and validation, can be The algorithm used to derive the SeaWiFS version 3 data is an empirical algorithm, based on thousands of ﬁeld measurements that relate the ratio of L.The Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) sensor (–) provides a valuable archive of synoptic data with one day revisit and bands tuned for retrieval of chl-a.
However, the Ocean Color (OC) Chlorophyll algorithm, the chl-a algorithm currently operational for SeaWiFS, is known to overestimate chl-a in nearshore waters [4,5].Cited by: 5.Volume 9, SeaWiFS Postlaunch Calibration and Validation Analyses, Part 1, SeaWiFS Postlaunch Technical Report Series, S.
B. Hooker and E. R. Firestone [editors], NASA, 83 pages. McClain et al. (b).