Atmospheric correction of Landsat-8/OLI and Sentinel-2/MSI data using iCOR algorithm: validation for coastal and inland waters

European Journal of Remote Sensing

Volumn 51, Issue 1, 2018, Pages 525-542

  De Keukelaere, L ^a   Sterckx, S ^a   Adriaensen, S ^a   Knaeps, E ^a   Reusen, I ^a   Giardino, C ^b   Bresciani, M ^b   Hunter, P ^c   Neil, C ^c   Van der Zande, D ^d   Vaiciute, D ^e  

^a FLEMISH INSTITUTE FOR TECHNOLOGICAL RESEARCH VITO   (Belgium)

^b CNR   (Italy)

^c UNIVERSITY OF STIRLING   (United Kingdom)

^d ROYAL BELGIAN INSTITUTE OF NATURAL SCIENCES   (Belgium)

^e KLAIPEDA UNIVERSITY   (Lithuania)

Author keywords

adjacency effects; atmospheric correction; Icor; Landsat 8 OLI; Sentinel 2 MSI; SIMEC

Indexed keywords

AEROSOLS; REFLECTION;

ADJACENCY EFFECT; ATMOSPHERIC CORRECTIONS; ICOR; LANDSAT; SENTINEL-2 MSI; SIMEC;

INFRARED DEVICES;

AEROSOL; ALGORITHM; ATMOSPHERIC CORRECTION; COASTAL WATER; DISCONTINUITY; IMAGE PROCESSING; INLAND SEA; LANDSAT; OPTICAL METHOD; REFLECTANCE; SATELLITE DATA; SENSOR; SENTINEL;

EID: 85047257397     PISSN: None     EISSN: 22797254     Source Type: Journal    
DOI: 10.1080/22797254.2018.1457937     Document Type: Article

References (61)

1. Berk, A., Anderson, G.P., Acharya, P.K., Bernstein, L.S., & Muratov, L., (2006). MODTRAN5: 2006 update. Procedings of SPIE 6233, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XII, 62331F.
2. Biesemans, J., Steckx, S., Knaeps, E., Vreys, K., Adriaensen, S., Hooyberghs, J., & Nieke, J., 2007, Image processing workflows for airborne remote sensing. In 5th EARSeL SIG Imaging Spectroscopy Workshop, 23–25April 2007, Bruges, Belgium.
3. Brando, V.E., & 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.
4. Carr, S.B., (2005). The aerosol models in MODTRAN: Incorporating selected measurements from Northern Australia. Defense Science and Technology Organisation. Australian Goverment. DSTO-TR-1803, 1, 1–67.
5. Conel, J.E., Green, R.O., Vane, G., Bruegge, C.J., & Alley, R.E., (1987). AIS-2 radiometry and a comparison of methods for the recovery of ground reflectance. In G., Vane (Ed.), Proceedings of the 3rd Airborne Imaging Spectrometer Data Analysis Workshop JPL Publ (Vols. 87–30, pp. 18−47). Pasadena, CA: Jet Propulsion Laboratory.
6. Cox, C., & Munk, W., (1954). Statistics of the sea surface derived from sun glitter. Journal of Marine Research, 13, 198–227.
7. Doron, M., Bélanger, S., Doxaran, D., & Babin, M., (2011). Spectral variations in the near-infrared ocean reflectance. Remote Sensing of Environment, 115(7), 1617–1631.
8. Doxani, G., Vermote, E., Roger, J., Gascon, F., Adriaensen, S., Frantz, D., & Kirches, G., (2018). Atmospheric correction inter-comparison exercise. Remote Sensing, 10, 1–18.
9. ESA. (2017). Sentinel 2 document library - Sentinel-2 spectral response functions (S2-SRF). Retrieved December15, 2017, from https://earth.esa.int/web/sentinel/user-guides/sentinel-2-msi/document-library/-/asset_publisher/Wk0TKajiISaR/content/sentinel-2a-spectral-responses
10. Gao, B.C., Montes, M.J., Davis, C.O., & Goetz, A.F.H., (2009). Atmospheric correction algorithms for hyperspectral remote sensing data of land and ocean. Remote Sensing of Environment, 113(SUPPL. 1), S17–S24.
11. Gordon, H.R., & Wang, M., (1994). Retrieval of water-leaving radiance and aerosol optical thickness over the oceans with SeaWiFS: A preliminary algorithm. Applied Optics, 33(3), 443–452.
12. Goyens, C., Jamet, C., & Ruddick, K.G., (2013). Spectral relationships for atmospheric correction. II. Improving NASA’s standard and MUMM near infra-red modeling schemes. Optics Express, 21(18), 21176–21187.
13. Grey, W.M.F., North, P.R.J., & Los, S.O., (2006). Computationally efficient method for retrieving aerosol optical depth from ATSR-2 and AATSR data. Applied Optics, 45, 2786–2795.
14. Guanter, L., (2007). New algorithms for atmospheric correction and retrieval of biophysical parameters in earth observation. Application to ENVISAT/MERIS data. (Tesis Doctoral). València, Spain: Universitat de València.
15. Guanter, L., Alonso, L., & Moreno, J., (2005b). First results from the PROBA/CHRIS hyperspectral/multiangular satellite system over land and water targets. IEEE Geoscience and Remote Sensing Letters, 2(3), 250–254.
16. Guanter, L., Alonso, L., Moreno, J., & Member, A., (2005a). A method for the surface reflectance retrieval from PROBA/CHRIS data over land: Application to ESA SPARC Campaigns. IEEE Transactions on Geoscience and Remote Sensing, 43(12), 2908–2917.
17. Guanter, L., Del Carmen González‐Sanpedro, M., & Moreno, J., (2007). A method for the atmospheric correction of ENVISAT/MERIS data over land targets. International Journal of Remote Sensing, 28(3–4), 709–728.
18. Guanter, L., Ruiz-Verdú, A., Odermatt, D., Giardino, C., Simis, S., Estellés, V., … Moreno, J., (2010). Atmospheric correction of ENVISAT/MERIS data over inland waters: Validation for European lakes. Remote Sensing of Environment, 114(3), 467–480.
19. Haan, D., Kokke, D., & Rijkeboer. (1996). Remote sensing algorithm development Toolkit: 1. Operationalization of atmopsheric correction methods for tidal and inland waters. BCRS Report (Netherlands: RWS-Survey Department).
20. Hadjimitsis, D.G., Papadavid, G., Agapiou, A., Themistocleous, K., Hadjimitsis, M.G., Retalis, A., & Clayton, C.R.I., (2010). Atmospheric correction for satellite remotely sensed data intended for agricultural applications: Impact on vegetation indices. Natural Hazards and Earth System Science, 10(1984), 89–95.
21. Harmel, T., Chami, M., Tormos, T., Reynaud, N., & Danis, P.A., (2018). Sunglint correction of the multi-spectral instrument (msi)-sentinel-2 imagery over inland and sea waters from swir bands. Remote Sensing Of Environment, 204, 308–321.
22. Hommerson, A., Kratzer, S., Laanen, M., Ansko, I., Ligi, M., Bresciani, M., & Peters, S., (2012). An inter-Comparison in the field between the new Wisp-3 and other radiometers (Trios Ramses, Asd Fieldspec, and Taccs). Journal of Applied Remote Sensing, 6, 063615.
23. Ioccg. (2009). Atmospheric correction for remotely-sensed ocean- colour products. Reports of the International Ocean Colour Coordinating, 10(1998), 76.
24. Kaufman, Y.J., (1984). Atmopsheric effect on spatial resolution of surface imagery: Errata. Applied Optics, 23(22), 4164–4172.
25. Kaufman, Y.J., & Sendra, C., (1988). Algorithm for automatic atmospheric corrections to visible near-IR satellite imagery. International Journal of Remote Sensing, 9, 1357–1381.
26. Kay, S., Hedley, J., & Lavender, S., (2009). Sun glint correction of high and low spatial resolution images of aquatic scenes: A review of methods for visible and near-infrared wavelengths. Remote Sensing, 1, 697–730.
27. Kiselev, V., Bulgarelli, B., & Heege, T., (2015). Sensor independent adjacency correction algorithm for coastal and inland water systems. Remote Sensing of Environment, 157, 85–95.
28. Knaeps, E., Dogliotti, A.I., Raymaekers, D., Ruddick, K., & Sterckx, S., (2012). In situ evidence of non-zero reflectance in the OLCI 1020nm band for a turbid estuary. Remote Sensing of Environment, 120, 133–144.
29. Knaeps, E., Ruddick, K.G., Doxoran, D., Dogliotti, A.I., Nechad, B., Raymaekers, D., & Sterckx, S., (2015). A SWIR based algorithm to retrieva total suspended matter in extremely turbid waters. Remote Sensing of Environment, 168, 66–79.
30. Kruse, F.A., (1988). Use of airborne imaging spectrometer data to map minerals associated with hydrothermally altered rocks in the northern Grapevine Mountains, Nevada and California. Remote Sensing of Environment, 24, 31–51.
31. Lyapustin, A.I., & Kaufman, Y.J., (2001). Role of adjacency effect in the remote sensing of aerosol. Journal of Geophysical Research, 106, 11909–11916.
32. Minomura, M., Kuze, H., & Takeuchi, N., (2001). Adjacency effect in the atmospheric correction of satellite remote sensing data: Evaluation of the influence of aerosol extinction profiles. Optical Review, 8(2), 133–141.
33. Mobley, C.D., (1999). Estimation of the remote-sensing reflectance from above-surface measurements. Applied Optics, 38, 7442–7455.
34. Mobley, C.D., Werdell, J., Franz, B., Ahmad, Z., & Bailey, S., (2016). Atmospheric correction for satellite ocean color radiometry. A Tutorial and Documentation NASA Ocean Biology Processing Group, 1–73. Retrieved from https://oceancolor.gsfc.nasa.gov/docs/technical/NASA-TM-2016-217551.pdf
35. Müller-Wilm, U., (2016). Sentinel-2 MSI–Level-2A prototype processor installation and user manual (Vol 49). Retrieved from http://step.esa.int/thirdparties/sen2cor/2.2.1/S2PAD-VEGA-SUM-0001-2.2.pd
36. Odermatt, D., Kiselev, S., Heege, T., Kneubühler, M., & Itten, K.I., (2008). Adjacency effect considerations and air/water constituent retrieval for lake constance. Proceedings of the '2nd MERIS | (A) ATSR User Workshop', Frascati, Italy 2008, ESA SP-666.
37. Ouaidrari, H., & Vermote, E.F., (1999). Operational atmospheric correction of Landsat TM data. Remote Sensing of Environment, 70(1), 4–15.
38. Pahlevan, N., & Schott, J.R., (2013). Leveraging EO-1 to evaluate capability of new generation of landsat sensors for coastal/inland water studies. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(2), 360–374.
39. Palmer, S., Kutser, T., & Hunter, P.D., (2015). Remote sensing of inland waters: Challenges, progress and future directions. Remote Sensing of Environment, 157, 1–8.
40. Press, W.H., Flannery, B.P.N., Teukolosky, S.A., & Vetterling, W.T., (1986). Numerical recipes: The art of scientific computing. The mathematical Gazette, 71 (475), 245–246. ISBN 0-521-30811-9 (Cambridge University Press).
41. Ramon, D., & Santer, R., (2005, September 26–30). Aerosol over land with MERIS, present and future. Proceedings of the MERIS-(A)ATSR workshop (pp. 8). Frascati, Italy: ESA SP-597.
42. Reusen, I., Boenne, W., Bomans, B., De Keukelaere, L., Knaeps, E., Sterckx, S., … Vaiciute, D., (2016). INFORM - Testing campaign report. Retrieved from http://inform.vgt.vito.be/sites/default/files/documents/INFORM_D4.5_v1.0_withoutANNEX.pdf
43. Reusen, I., Knaeps, E., Hunter, P., Présing, M., Bresciani, M., Giardino, C., & Vaiciute, D., (2014). INFORM D4.3 - Development campaign report. Retrieved from http://inform.vgt.vito.be/sites/default/files/documents/INFORM_D4.3_v1.0.pdf
44. Richter, R., Bachmann, M., Dorigo, W., & Müller, A., (2006a). Influence of the adjacency effect on ground reflectance measurements. IEEE Geoscience and Remote Sensing Letters, 3(4), 565–569.
45. Richter, R., Schläpfer, D., & Müller, A., (2006b). An automatic atmospheric correction algorithm for visible/NIR imagery. International Journal of Remote Sensing, 27, 2077–2085.
46. Ruddick, K.G., De Cauwer, V., Park, Y.-J., & Moore, G., (2006). Seaborne measurements of near infrared water-leaving reflectance: The similarity spectrum for turbid waters. Limnology and Oceanography, 51, 1167–1179.
47. Santer, R., Zagolski, F., & Gilson, M., (2007). Improved contrast between ocean and land (ICOL) algorithm theoretical basis document. In Techincal report, Version 0.1. Wimereux, France: Université du Littoral Côte d’Opale (ULCO).
48. Simis, S., & Olsson, J., (2013). Unattended processing of shipbone hyperspectral reflectance measurements. Remote Sensing of Environment, 135, 202–212.
49. Sterckx, S., Knaeps, E., Adriaensen, S., Reusen, I., Keukelaere, L.D., & Hunter, P., (2015). Opera: An atmospheric correction for land and water. Proceedings of the Sentinel-3 for Science Workshop, (1), 3–6.
50. Sterckx, S., Knaeps, E., & Ruddick, K., (2011). Detection and correction of adjacency effects in hyperspectral airborne data of coastal and inland waters: The use of the near infrared similarity spectrum. International Journal of Remote Sensing, 32, 6479–6505.
51. Sterckx, S., Knaeps, S., Kratzer, S., & Ruddick, K., (2014). SIMilarity Environment Correction (SIMEC) applied to MERIS data over inland and coastal waters. Remote Sensing of Environment, 157, 96-110.
52. Thuillier, G., Hers, M., Simon, P.C., Labs, D., Mandel, H., & Gillotay, D., (2003). Observation of the solar spectral irradiance from 200 nm to 870 nm during the ATLAS 1 and ATLAS 2 missions by the SOLSPEC spectrometer. Metrologia, 35(4), 689–695.
53. Van der Zande, D., Vanhellemont, Q., De Keukelaere, L., Knaeps, E., & Ruddick, K., (2016, October 23–28). Validation of landsat-8/OLI for ocean colour applications with AERONET-OC sites in Belgian coastal waters. Extended abstract submitted for the 2016 Ocean optics Conference. Victoria, BC, Canada. Retrieved from: http://odnature.naturalsciences.be/downloads/publications/oceanoptics2016dimitry.pdf
54. van Donkelaar, A., Martin, R.V., Brauer, M., Kahn, R., Levy, R., Verduzco, C., & Villeneuve, P.J., (2010). Global estimates of ambient fine particulate matter concentrations from satellite-based aerosol optical depth: Development and application. Environmental Health Perspectives, 118(6), 847–855.
55. Vanhellemont, Q., & Ruddick, K., (2015). Advantages of high quality SWIR bands for ocean colour processing: Examples from Landsat-8. Remote Sensing of Environment, 161, 89–106.
56. Vanhellemont, Q., & Ruddick, K., (2016). Acolite for Sentinel-2: Aquatic applications of MSI imagery. European Space Agency, (Special Publication) ESA SP, SP-740(May), 9–13.
57. Vermote, E.F., Tanré, D., Deuzé, J.L., Herman, M., & Morcrette, J.J., (1994). Second simulation of the satellite signal in the solar spectrum (6S), 6S user guide version 1, (NASA-GSFC, Greenbelt, Maryland). Retrieved from: http://pages.csam.montclair.edu/~chopping/EAES/6s-manual-v1.0.pdf
58. Vermote, E.F., Tanré, D., Deuzé, J.L., Herman, M., & Morcrette, J.J., (1997). Second simulation of the satellite signal in the solar spectrum, 6s: An overview. IEEE Transactiosn on Geoscience and Remote Sensing, 35, 675–686.
59. Wang, M., Shi, W., & Tang, J., (2011). Water property monitoring and assessment for China’s inland Lake Taihu from MODIS-aqua measurements. Remote Sensing of Environment., 115, 841–854.
60. Zibordi, G., Holben, B., Hooker, S.B., Mélin, F., Berthon, J.-F., Slutsker, I., … Al Mandoos, A., (2006). A network for standardized ocean color validation measurements. Eos, Transactions American Geophysical Union, 87(30), 293.
61. Zibordi, G., Holben, B., Slutsker, I., Giles, D., D’alimonte, D., Mélin, F., … Seppälä, J., (2009). AERONET-OC: A network for the validation of ocean color primary products. Journal of Atmospheric and Oceanic Technology, 26(8), 1634–1651.