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Original Articles

Exact closed-form geolocation algorithm for Earth survey sensors

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Pages 3719-3734 | Received 05 May 1993, Accepted 20 Oct 1993, Published online: 07 May 2007

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Michael Schmidt, Edward A King & Tim R McVicar. (2008) Assessing the geometric accuracy of AVHRR data processed with a state vector based navigation system. Canadian Journal of Remote Sensing 34:5, pages 496-508.
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. (2008) Full Issue in PDF / Numéro complet enform PDF. Canadian Journal of Remote Sensing 34:5, pages ii-508.
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P. S. CRAWFORD, A. R. BROOKS & R. J. H. BRUSH. (1996) Fast navigation of AVHRR images using complex orbital models. International Journal of Remote Sensing 17:1, pages 197-212.
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M. E. JAMES & S. N. V. KALLURI. (1994) The Pathfinder AVHRR land data set: An improved coarse resolution data set for terrestrial monitoring. International Journal of Remote Sensing 15:17, pages 3347-3363.
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Articles from other publishers (16)

Jacopo Agagliate, Robert Foster, Amir Ibrahim & Alexander Gilerson. (2023) A neural network approach to the estimation of in-water attenuation to absorption ratios from PACE mission measurements. Frontiers in Remote Sensing 4.
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I. N. Sadovsky & D. S. Sazonov. (2023) Geographic Reference of MTVZA-GYa Radiometric Remote-Sensing Data. Izvestiya, Atmospheric and Oceanic Physics 58:12, pages 1664-1674.
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A. K. Mishra, Tirthankar Banerjee, Yogesh Kant, D. S. Shaik & A. K. Singh. (2018) Retrieval of Aerosol Optical Depth Over Land at 0.490 μm from Oceansat-2 Data. Journal of the Indian Society of Remote Sensing 46:5, pages 761-769.
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A. K. Mishra. (2014) Retrieval of EVI from Oceansat 2 Data and Comparison with MODIS Derived EVI. Journal of the Indian Society of Remote Sensing 42:4, pages 877-883.
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A. K. Mishra, V. K. Dadhwal & C. B. S. Dutt. (2008) Analysis of marine aerosol optical depth retrieved from IRS-P4 OCM sensor and comparison with the aerosol derived from SeaWiFS and MODIS sensor. Journal of Earth System Science 117:S1, pages 361-373.
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A.K. Mishra. (2004) Retrieval of suspended sediment concentration in the estuarine waters using IRS-1C WiFS data. International Journal of Applied Earth Observation and Geoinformation 6:2, pages 83-95.
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Charles R. McClain, Gene C. Feldman & Stanford B. Hooker. (2004) An overview of the SeaWiFS project and strategies for producing a climate research quality global ocean bio-optical time series. Deep Sea Research Part II: Topical Studies in Oceanography 51:1-3, pages 5-42.
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Menghua Wang, Alice Isaacman, Bryan A. Franz & Charles R. McClain. (2002) Ocean-color optical property data derived from the Japanese Ocean Color and Temperature Scanner and the French Polarization and Directionality of the Earth’s Reflectances: a comparison study. Applied Optics 41:6, pages 974.
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Watson W. Gregg, Frederick S. Patt & Wayne E. Esaias. (1999) Initial analysis of ocean color data from the ocean color and temperature scanner II Geometric and radiometric analysis. Applied Optics 38:27, pages 5692.
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Watson W. Gregg. (1999) Initial analysis of ocean color data from the ocean color and temperature scanner I Imagery analysis. Applied Optics 38:3, pages 476.
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S.D. Gasster, A. Bustillos, D. Kunkee, M.M. Gorlick & A. Gillam. (1998) Development of a microwave radiative transfer simulation tool for the NPOESS program. Development of a microwave radiative transfer simulation tool for the NPOESS program.
W.W. Gregg, W.E. Esaias, G.C. Feldman, R. Frouin, S.B. Hooker, C.R. McClain & R.H. Woodward. (1998) Coverage opportunities for global ocean color in a multimission era. IEEE Transactions on Geoscience and Remote Sensing 36:5, pages 1620-1627.
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S.O. Los. (1998) Estimation of the ratio of sensor degradation between NOAA AVHRR channels 1 and 2 from monthly NDVI composites. IEEE Transactions on Geoscience and Remote Sensing 36:1, pages 206-213.
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W.W. Gregg, F.S. Patt & R.H. Woodward. (1997) Development of a simulated data set for the SeaWiFS mission. IEEE Transactions on Geoscience and Remote Sensing 35:2, pages 421-435.
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S.N.V. Kalluri, J.R.G. Townshend, P.M. Smith & M.E. James. (1995) Processing long time satellite data for global change research: the AVHRR Pathfinder challenge. Processing long time satellite data for global change research: the AVHRR Pathfinder challenge.
W.W. Gregg & F.S. Patt. (1994) Assessment of tilt capability for spaceborne global ocean color sensors. IEEE Transactions on Geoscience and Remote Sensing 32:4, pages 866-877.
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