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Calibration and Validation

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Encyclopedia of Remote Sensing

Part of the book series: Encyclopedia of Earth Sciences Series ((EESS))

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Definition

Calibration. The process of quantitatively defining the system responses, under specified conditions, to known, controlled signal inputs. The result of a calibration permits either the assignment of values of measurands to the system output or the determination of corrections with respect to the system output (Joint Committee for Guides in Metrology JCGM (includes ISO) 2008; Randa et al., 2008; CEOS Working Group on Calibration and Validation, 2012).

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) 2008; Randa et al., 2008; CEOS Working Group on Calibration and Validation, 2012).

Introduction

The value of remotely sensed data products, in the scientific sense in particular, is determined by how well the characteristics of a product are known (e.g., Platt and...

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Bibliography

  • Abrams, M., 2000. The advanced spaceborne thermal emission reflection radiometer (ASTER): data products for the high spatial resolution imager on NASA’s terra platform. International Journal of Remote Sensing, 21(5), 847–859.

    Google Scholar 

  • Atlas, R., and Hoffman, R. N., 2000. The use of satellite surface wind data to improve weather analysis and forecasting at the NASA data assimilation office. Elsevier Oceanography Series, 63, 57–78.

    Google Scholar 

  • Austin, R. W., 1980. Gulf of Mexico, ocean-color surface-truth measurements. Boundary-Layer Meteorology, 18(3), 269–285.

    Google Scholar 

  • Bailey, S. W., and Werdell, J. P., 2006. A multi-sensor approach for the on-orbit validation of ocean color satellite data products. Remote Sensing of Environment, 102(1–2), 12–23.

    Google Scholar 

  • Barre, H. M. J. P., Duesmann, B., and Kerr, Y. H., 2008. SMOS: the mission and the system. IEEE Transactions on Geoscience and Remote Sensing, 46(3), 587–593.

    Google Scholar 

  • Behrenfield, M. J., O’Malley, R. T., Siegel, D. A., McClain, C. R., Sarmiento, J. L., Feldman, G. C., Miligan, A. J., Falkowski, P. G., Letelier, R. M., and Boss, E. S., 2006. Climate-driven trends in contemporary ocean productivity. Nature, 444, 752–755.

    Google Scholar 

  • Bernstein, R. L., and Chelton, D. B., 1985. Large-scale sea surface temperature variability from satellite and shipboard measurements. Journal of Geophysical Research, 90(C6), 11619–11630.

    Google Scholar 

  • Biggar, S. F., Thome, K. J., and Wisniewski, W., 2003. Vicarious radiometric calibration of eo-1 senors by reference to high-reflectance ground targets. IEEE Transactions on Geoscience and Remote Sensing, 41(6), 1174–1179.

    Google Scholar 

  • Bourassa, M. A., Legler, D. M., O’Brien, J. J., and Smith, S. R., 2003. Seawinds validation with research vessels. Journal of Geophysical Research, 108, C2.

    Google Scholar 

  • Brando, V. E., and Dekker, A. G., 2003. Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality. IEEE Transactions on Geoscience and Remote Sensing, 41(6), 1378–1387.

    Google Scholar 

  • Brown, S. T., Desai, S., Lu, W., and Tanner, A. B., 2007. On the long-term stability of microwave radiometers using noise diodes for calibration. IEEE Transactions on Geoscience and Remote Sensing, 45(7), 1908–1920.

    Google Scholar 

  • Butler, J. J., and Barnes, R. A., 1998. Calibration strategy for the earth observing system (EOS) – AM1 platform. IEEE Transactions on Geoscience and Remote Sensing, 36(4), 1056–1061.

    Google Scholar 

  • Caires, S., and Sterl, A., 2003. Validation of ocean wind and wave data using triple collocation. Journal of Geophysical Research, 108, C3.

    Google Scholar 

  • Cavalieri, D. J., Parkinson, C. L., DiGirolamo, N., and Ivanoff, A., 2012. Intersensor calibration between F13 SSMI and F17 SSMIS for global sea ice data records. IEEE Geoscience and Remote Sensing Letters, 9(2), 233–236.

    Google Scholar 

  • Ceccato, P., Flasse, S., and Gregoire, J.-M., 2002. Designing a spectral index to estimate vegetation water content from remote sensing data: part 2. Validation and applications. Remote Sensing of Environment, 82(2–3), 198–207.

    Google Scholar 

  • CEOS Working Group on Calibration and Validation, 2012. Committee on Earth Observation Satellites (Online). Available from http://www.ceos.org. Accessed 14 Feb 2012.

  • Chen, J. M., Liu, J., Cihlar, J., and Goulden, M. L., 1999. Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications. Ecological Modeling, 124(2–3), 99–119.

    Google Scholar 

  • Corlett, G. K., et al., 2006. The accuracy of SST retrievals from AATSR: an initial assessment through geophysical validation against in situ radiometers, buoys and other SST data sets. Advances in Space Research, 37(4), 764–769.

    Google Scholar 

  • Cosh, M. H., Jackson, T. J., Bindlish, R., and Prueger, J. H., 2004. Watershed scale temporal and spatial stability of soil moisture and its role in validating satellite estimates. Remote Sensing of Environment, 92, 427–435.

    Google Scholar 

  • Delwart, S., Bouzinac, C., Wursteisen, P., Berger, M., Drinkwater, M., Martin-Neira, M., and Kerr, Y. H., 2008. SMOS validation and the COSMOS campaigns. IEEE Transactions on Geoscience and Remote Sensing, 46(3), 695–704.

    Google Scholar 

  • Divakarla, M. G., Barnet, C. D., Goldberg, M. D., McMillin, L. M., Maddy, E., Wolf, W., Zhou, L., and Liu, X., 2006. Validation of atmospheric infrared sounder temperature and water vapour retrievals with matched radiosonde measurements and forecasts. Journal of Geophysical Research, 111, D09S15.

    Google Scholar 

  • Dobson, E., Monaldo, F., Goldhirsh, J., and Wilkerson, J., 1987. Validation of geosat altimeter-derived wind speeds and significant wave heights using buoy data. Journal of Geophysical Research, 92(C10), 10719–10731.

    Google Scholar 

  • Donlon, C. J., Minnett, P. J., Gentemann, C., Nightingale, T. J., Barton, I. J., Ward, B., and Murray, M. J., 2002. Toward improved validation of satellite sea surface skin temperature measurements for climate research. Journal of Climate, 15(4), 353–369.

    Google Scholar 

  • Emery, W. J., Baldwin, D. J., Schlussel, P., and Reynolds, R. W., 2001. Accuracy of in situ sea surface temperatures used to calibrate infrared satellite measurements. Journal of Geophysical Research, 106(C2), 2387–2405.

    Google Scholar 

  • Eymard, L., Obligis, E., Tran, N., Karbou, F., and Dedieu, M., 2005. Long-term stability of ERS-2 and TOPEX microwave radiometer in-flight calibration. IEEE Transactions on Geoscience and Remote Sensing, 43(5), 1144–1158.

    Google Scholar 

  • Flanner, M. G., Shell, K. M., Barlage, M., Perovich, D. K., and Tschudi, M. A., 2010. Radiative forcing and albedo feedback from the northern hemisphere cryosphere between 1979 to 2008. Nature Geoscience, 4, 151–155.

    Google Scholar 

  • Flanner, M. G., Shell, K. M., Barlage, M., Perkovich, D. K., and Tschudi, M. A., 2011. Radiative forcing and albedo feedback from the northern hemisphere cryosphere between 1979 and 2008. Nature Geoscience, 4, 151–155.

    Google Scholar 

  • Froidevaux, L., et al., 2008. Validation of aura microwave limb sounder stratospheric ozone measurements. Journal of Geophysical Research, 113, D15S20.

    Google Scholar 

  • Gallo, K., Ji, L., Reed, B., Eidenshink, J., and Dwyer, J., 2005. Multi-platform comparisons of MODIS and AVHRR normalized difference vegetation index data. Remote Sensing of Environment, 99(3), 221–231.

    Google Scholar 

  • Garrigues, S., Lacaze, R., Baret, F., Morisette, J. S., Weiss, M., Nickeson, J. E., Fernandes, R., Plummer, S., Shabanov, N. V., Myneni, R. B., Knyazikhin, Y., and Yang, W., 2008. Validation and intercomparison of global leaf area index products derived from remote sensing data. Journal of Geophysical Research, 113, G02028.

    Google Scholar 

  • Goddard Space Flight Center, National Aeronautics and Space Administration, 2004. Nimbus Program History, National Aeronautics and Space Administration, Greenbelt: MD.

    Google Scholar 

  • Gopalan, K., Jones, W. L., Biswas, S., Bilanow, S., Wilheit, T., and Kasparis, T., 2009. A time-varying radiometric bias correction for the TRMM microwave imager. IEEE Transactions on Geoscience and Remote Sensing, 47(11), 3722–3730.

    Google Scholar 

  • Grayson, R. B., and Western, A. W., 1998. Towards areal estimation of soil water content from point measurements: time and space stability of mean response. Journal of Hydrology, 207, 68–82.

    Google Scholar 

  • Harries, J. E., Llewellyn-Jonos, D. T., Minnett, P. J., Saunders, R. W., and Zavody, A. M., 1983. Observations of sea-surface temperature for climate research. Philosophical Transactions of the Royal Society of London A, 309, 381–395.

    Google Scholar 

  • Helder, D. L., Basnet, B., and Morstad, D. L., 2010. Optimized identification of worldwide radiometric pseudo-invariant calibration sites. Canadian Journal of Remote Sensing, 36(5), 527–539.

    Google Scholar 

  • Henocq, C., Boutin, J., Petitcolin, F., Reverdin, G., Arnault, S., and Lattes, P., 2010. Vertical variability of near-surface salinity in the tropics: consequences for L-band radiometer calibration and validation. Journal of Atmospheric and Oceanic Technology, 27, 192–209.

    Google Scholar 

  • Hilland, J. E., Chelton, D. B., and Njoku, E. G., 1985. Production of global sea surface temperature fields for the jet propulsion laboratory workshop comparisons. Journal of Geophysical Research, 90(C6), 11642–11650.

    Google Scholar 

  • Hooker, S. B., and McClain, C. R., 2000. The calibration and validation of seaWiFS data. Progress in Oceanography, 45, 427–465.

    Google Scholar 

  • Hovis, W., 1982. Results of the CZCS validation program. In OCEANS 82. Washington.

    Google Scholar 

  • Jackson, T. J., Cosh, M. H., Bindlish, R., Starks, P. J., Bosch, D. D., Seyfried, M., Goodrich, D. C., Moran, S., and Du, J., 2010. Validation of advanced microwave scanning radiometer soil moisture products. IEEE Transactions on Geoscience and Remote Sensing, 48(12), 4256–4272.

    Google Scholar 

  • Joint Committee for Guides in Metrology JCGM (includes ISO, Geneva, Switzerland)., 2008. International Vocabulary of Metrology – Basic and General Concepts and Associated Terms (VIM).

    Google Scholar 

  • Jones, W. L., Park, J. D., Soisuvarn, S., Hong, L., Gaiser, P. W., and St. Germain, K. M., 2006. Deep-space calibration of the windsat radiometer. IEEE Transactions on Geoscience and Remote Sensing, 44(3), 476–495.

    Google Scholar 

  • Jung, M., et al., 2010. Recent decline in the global land evapotranspiration trend Deu to limited moisture supply. Nature, 467, 951–954.

    Google Scholar 

  • Keihm, S. J., Janssen, M. A., and Ruf, C. S., 1995. TOPEX/poseidon microwave radiometer (TMR): III. Wet troposphere range correction algorithm and pre-launch error budget. IEEE Transactions on Geoscience and Remote Sensing, 33(1), 147–161.

    Google Scholar 

  • Kelly, R. E., Chang, A. T., Tsang, L., and Foster, J. L., 2003. A prototype AMSRE-E global snow area and snow depth algorithm. IEEE Transactions on Geoscience and Remote Sensing, 41(2), 230–242.

    Google Scholar 

  • Le Vine, D. M., Lagerloef, G. S. E., Colomb, F. R., Yueh, S. H., and Pellerano, F. A., 2007. Aquarius: an instrument to monitor surface salinity from space. IEEE Transactions on Geoscience and Remote Sensing, 45(7), 2040–2050.

    Google Scholar 

  • Lepers, E., Lambin, E. F., Janetos, A. C., DeFries, R., Achard, F., Ramankutty, N., and Scholes, R. J., 2005. A synthesis of information on rapid land-cover change for the period 1981–2000. BioScience, 55(2), 115–124.

    Google Scholar 

  • Liang, S., Fang, H., Chen, M., Shuey, C. J., Walthall, C., Daughtry, C., Morisette, J., Schaaf, C., and Strahler, A., 2002. Validating MODIS land surface reflectance and albedo products: methods and preliminary results. Remote Sensing of Environment, 83(1–2), 149–162.

    Google Scholar 

  • Liu, T. W., Tang, W., and Polito, P. S., 1998. NASA scatterometer provides global ocean-surface wind fields with more structures than numerical weather prediction. Geophysical Research Letters, 25(6), 761–764.

    Google Scholar 

  • Long, D. G., and Skouson, G. B., 1996. Calibration of spaceborne scatterometers using tropical rain forests. IEEE Transactions on Geoscience and Remote Sensing, 34(2), 413–424.

    Google Scholar 

  • Macelloni, G., Brogioni, M., Pampaloni, P., and Cagnati, A., 2007. Multifrequency microwave emission from the dome-C area on the east Antarctic plateau: temporal and spatial variability. IEEE Transactions on Geoscience and Remote Sensing, 45(7), 2029–2039.

    Google Scholar 

  • Macelloni, G., Brogioni, M., Pettinato, S., Zasso, R., Crepaz, A., Zaccaria, J., Padovan, B., Drinkwater, M., 2011. Multi-frequency microwave emission of the east Antarctic plateau. In Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2011, Vancouver: Canada.

    Google Scholar 

  • McKague, D. S., Ruf, C. S., and Puckett, J. J., 2011. Beam spoiling correction for spaceborne microwave radiometers using the two-point vicarious calibration method. IEEE Transactions on Geoscience and Remote Sensing, 49(1), 21–27.

    Google Scholar 

  • Mears, C. A., and Wentz, F. J., 2005. The effect of diurnal correction on satellite-derived lower tropospheric temperature. Science, 309(5740), 1548–1551.

    Google Scholar 

  • Miralles, D. G., Crow, W. T., and Cosh, M. H., 2010. Estimating spatial sampling errors in coarse-scale soil moisture estimates derived from point-scale observations. Journal of Hydrometeorology, 11, 1423–1429.

    Google Scholar 

  • Morisette, J. T., Privette, J. L., and Justice, C. O., 2002. A framework for the validation of MODIS land products. Remote Sensing of Environment, 83(1–2), 77–96.

    Google Scholar 

  • Njoku, E. G., 1980. Antenna pattern correction procedures for the scanning multichannel microwave radiometer (SMMR). Boundary-Layer Meteorology, 18, 79–98.

    Google Scholar 

  • Njoku, E. G., Jackson, T. J., Lakshmi, V., Chan, S. T. K., and Nghiem, S. V., 2003. Soi moisture retrieval from AMSR-E. IEEE Transactions on Geoscience and Remote Sensing, 41(2), 215–229.

    Google Scholar 

  • O’Carroll, A. G., Eyre, J. R., and Saunders, R. W., 2008. Three-ways error analysis between AATSR, AMSR-E, and in situ sea surface temperature observations. Journal of Atmospheric and Oceanic Technology, 25, 1197–1207.

    Google Scholar 

  • Platt, T., and Sathyendranath, S., 1988. Oceanic primary production: estimation by remote sensing at local and regional scales. Science, 241, 1613–1620.

    Google Scholar 

  • Pulliainen, J., Karna, J.-P., and Hallikainen, M., 1993. Development of geophysical retrieval algorithms for the MIMR. IEEE Transactions on Geoscience and Remote Sensing, 31(1), 268–277.

    Google Scholar 

  • Randa, J., Lahtinen, J., Camps, A., Gasiewski, A. J., Hallikainen, M., Le Vine, D. M., Martin-Neira, M., Piepmeier, J., Rosenkranz, P. W., Ruf, C. S., Shiue, J., Skou, N., 2008. Recommended Terminology for Microwave Radiometry, National Institute of Standards and Technology. Technical Note 1551.

    Google Scholar 

  • Ruf, C. S., Hu, Y., and Brown, S. T., 2006. Calibration of windsat polarimetric channels with a vicarious cold reference. IEEE Transactions on Geoscience and Remote Sensing, 44(3), 470–475.

    Google Scholar 

  • Ruiz-Verdu, A., Koponen, S., Heege, T., Doerffer, R., Brockmann, C., Kallio, K., Pyhalahti, T., Pena, R., Polvorinos, A., Heblinski, J., Ylostalo, P., Conde, L., Odermatt, D., Estelles, V., Pullliainen, J., 2008. Development of MERIS lake water algorithms: validation results from Europe. In Proceedings of 2nd MERIS User Workshop, Frascati: Italy.

    Google Scholar 

  • Shimada, M., 2005. Long-term stability of L-band normalized radar cross section of amazon rainforest using the JERS-1 SAR. Canadian Journal of Remote Sensing, 31(1), 132–137.

    Google Scholar 

  • Shimada, M., Isoguchi, O., Tadono, T., and Isono, K., 2009. PALSAR radiometric and geometric calibration. IEEE Transactions on Geoscience and Remote Sensing, 47(12), 3915–3932.

    Google Scholar 

  • Slater, P. N., Biggar, S. F., Holm, R. G., Jackson, R. D., Mao, Y., Moran, M. S., Palmer, J. M., and Yuan, B., 1987. Reflectance-and radiance-based methods for the in-flight absolute calibration of multispectral sensor. Remote Sensing of Environment, 22(1), 11–37.

    Google Scholar 

  • Small, D., Rosich, B., Meier E., uesch, D., 2004. Geometric calibration and validation of ASAR imagery. In Proceedings of CEOS SAR Workshop, Ulm: Germany.

    Google Scholar 

  • Srivastava, S. K., Hawkins, R. K., Lukowski, T. I., Banik, B. T., Adamovic, M., and Jefferies, W. C., 1999. RADARSAT image quality and calibration – update. Advances in Space Research, 23(8), 1487–1496.

    Google Scholar 

  • Stowe, L. L., 1982. Validation of nimbus-7 temperature-humidity infrared radiometer estimates of cloud type and amount. Advances in Space Research, 2(6), 15–19.

    Google Scholar 

  • Stowe, L. L., Wellemeyer, C. G., Yeh, H. Y. M., Eck, T. F., The Nimbus-7 Cloud Data Processing Team, 1988. Nimbus-7 global cloud climatology. Part I: algorithms and validation. Journal of Climate, 1(5), 445–470.

    Google Scholar 

  • Stuart-Menteth, A. C., Robinson, I. S., and Challenor, P. G., 2003. A global study of diurnal warming using satellite-derived sea surface temperature. Journal of Geophysical Research, 108, C5.

    Google Scholar 

  • Sun, J., Xiong, X., Guenther, B., and Barnes, W., 2003. Radiometric stability monitoring of the MODIS reflective solar bands using the moon. Metrologia, 40, S85–S88.

    Google Scholar 

  • Takala, M., Pulliainen, J., Metsamaki, S. J., and Koskinen, J. T., 2009. Detection of snowmelt using spaceborne microwave radiometer data in eurasia from 1979 to 2007. IEEE Transactions on Geoscience and Remote Sensing, 47(9), 2996–3007.

    Google Scholar 

  • Tedesco, M., and Narvekar, P. S., 2010. Assessment of the NASA AMSR-E SWE product. IEEE Transactions on Geoscience and Remote Sensing, 3(1), 141–159.

    Google Scholar 

  • Tian, Y., et al., 2002. Multiscale analysis and validation of the MODIS LAI product I. Uncertainty assessment. Remote Sensing of Environment, 83, 414–430.

    Google Scholar 

  • Twarog, E. M., Purdy, W. E., Gaiser, P. W., Cheung, K. H., and Kelm, B. E., 2006. WindSat on-orbit warm load calibration. IEEE Transactions on Geoscience and Remote Sensing, 44(3), 516–529.

    Google Scholar 

  • Ulaby, F. T., Moore, R. K., and Fung, A. K., 1981. Microwave Remote Sensing: Active and Passive. Norwood: Artech House. Microwave Remote Sensing Fundamentals and Radiometry, Vol. 1.

    Google Scholar 

  • Ulaby, F. T., Moore, R. K., and Fung, A. K., 1982. Microwave Remote Sensing: Active and Passive. Reading: Addison-Wesley Company. Radar Remote Sensing and Surface Scattering and Emission Theory, Vol. 2.

    Google Scholar 

  • Vachaud, G., Passerat de Silans, A., Balabanis, P., and Vauclin, M., 1985. Temporal stability of spatially measured soil water probability density function. Journal of Soil Science Society of America, 49(4), 822–828.

    Google Scholar 

  • Wang, X., and Key, J. R., 2003. Recent trends in arctic surface, could, and radiation properties from space. Science, 299(5613), 1725–1728.

    Google Scholar 

  • Wang, W., Liang, S., and Meyers, T., 2008. Validating MODIS land surface temperature products using long-term nighttime ground measurement. Remote Sensing of Environment, 112(3), 623–635.

    Google Scholar 

  • Wehr, T., and Attema, E., 2001. Geophysical validation of envisat data products. Advances in Space Research, 28(1), 83–91.

    Google Scholar 

  • Wentz, F. J., 1997. A well-calibrated ocean algorithm for special sensor microwave/imager. Journal of Geophysical Research, 102(C4), 8703–8718.

    Google Scholar 

  • Wentz, F. J., and Schabel, M., 2000. Precise climate monitoring using complementary satellite data sets. Nature, 403, 414–416.

    Google Scholar 

  • Wigneron, J.-P., Kerr, Y., Waldteufel, P., Saleh, K., Escorihuela, M.-J., Richaume, P., Ferrazzoli, P., de Rosnay, P., Gurney, R., Calvet, J.-C., Grant, J. P., Guglielmetti, M., Hornbuckle, B., Matzler, C., Pellarin, T., and Schwank, M., 2007. L-band microwave emission of the biosphere (L-MEB) model: description and calibration against experimental data sets over crop fields. Remote Sensing of Environment, 107(4), 639–655.

    Google Scholar 

  • Wolfe, R. E., Nishihama, M., Fleig, A. J., Kuyper, J. A., Roy, D. P., Storey, J. C., and Patt, F. S., 2002. Achieving sub-pixel geolocation accuracy in support of MODIS land science. Remote Sensing of Environment, 83(1–2), 31–49.

    Google Scholar 

  • Xiong, X., and Barnes, W., 2006. An overview of MODIS radiometric calibration and characterization. Advances in Atmospheric Sciences, 23(1), 69–79.

    Google Scholar 

  • Xiong, X., Sun, J., and Barnes, W., 2008. Intercomparison of on-orbit calibration consistency between terra and aqua MODIS reflective solar bands using the moon. IEEE Geoscience and Remote Sensing Letters, 5(4), 778–782.

    Google Scholar 

  • Xu, F., and Ignatov, A., 2010. Evaluation of in situ surface temperature for use in the calibration and validation of satellite retrievals. Journal of Geophysical Research, 115, C09022.

    Google Scholar 

  • Yamaguchi, Y., Kahle, A. B., Tsu, H., Kawakami, T., and Pniel, M., 1998. Overview of advanced spaceborne thermal emission and reflection radiometer (ASTER). IEEE Transactions on Geoscience and Remote Sensing, 36(4), 1062–1071.

    Google Scholar 

  • Yang, W., Tan, B., Huang, D., Rautiainen, M., Shabanov, N. V., Wang, Y., Privette, J. L., Huemmrich, K. F., Fensholt, R., Sandholt, I., Weiss, M., Ahl, D. E., Gower, S. T., Nemani, R. R., Knyazikhin, Y., and Myneni, R. B., 2006. MODIS leaf area index products: from validation to algorithm improvement. IEEE Transactions on Geoscience and Remote Sensing, 44(7), 1885–1898.

    Google Scholar 

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Acknowledgments

This research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the NASA.

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Colliander, A. (2014). Calibration and Validation. In: Njoku, E.G. (eds) Encyclopedia of Remote Sensing. Encyclopedia of Earth Sciences Series. Springer, New York, NY. https://doi.org/10.1007/978-0-387-36699-9_10

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