Daniel Schläpfer: Publication List
Feel free to download one of the following articles
- Preprocessing and Geocoding
- Atmospheric Imaging Spectroscopy
- Sensor Design and Calibration
- Reports
- Related Topics
On Preprocessing and Geocoding
D. Schläpfer, R. Richter, C. Popp,and P. Nygren: "DROACOR-Thermal: Automated Temperature / Emissivity Retrieval for Drone Based Hyperspectral Imaging Data." Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 429–434, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-429-2022, 2022.
D. Schläpfer, R. Richter, C. Popp,and P. Nygren: "DROACOR Reflectance Retrieval for Hyperspectral Mineral Exploration Using a Ground-Based Rotating Platform" Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 209–214, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-209-2021, 2021.
D. Schläpfer, C. Popp, and R. Richter, "Drone Data Atmospheric Correction Concept for Multi- and Hyperspectral Imagery – the DROACOR Model", Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 473–478, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-473-2020, 2020.
M. Voegtli, D. Schläpfer, R. Richter, A. Hueni, M. E. Schaepman, and M. Kneubuhler, "About the Transferability of Topographic Correction Methods From Spaceborne to Airborne Optical Data," IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing, vol. 14, pp. 1348–1362, Dec. 2020.
W. Jia, Y. Pang, R. Tortini, D. Schläpfer, Z. Li, and J.-L. Roujean, "A Kernel-Driven BRDF Approach to Correct Airborne Hyperspectral Imagery Over Forested Areas with Rugged Topography". Remote Sensing, vol. 12, no. 3, pp. 432–33, Feb. 2020.
D. Schläpfer and R. Richter, “Recent Developments In ATCOR For Atmospheric Compensation And Radiometric Processing Of Imaging Spectroscopy Data,” presented at the EARSeL eProceedings, 2016, vol. 14, no. 2, pp. 40–48.
J. Weyermann, M. Kneubuhler, D. Schläpfer, and M. E. Schaepman, “Minimizing Reflectance Anisotropy Effects in Airborne Spectroscopy Data Using Ross-Li Model Inversion With Continuous Field Land Cover Stratification,” IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 11, pp. 5814–5823, Aug. 2015.
D. Schläpfer, R. Richter, and T. Feingersh, (2014): "Operational BRDF Effects Correction for Wide-Field-of-View Optical Scanners (BREFCOR)," IEEE TGARS, vol. 53, no. 4, pp. 1855-1864.
D. Schläpfer and R. Richter, "Evaluation of Brefcor BRDF Effects Correction for Hyspex, CASI, and APEX Imaging Spectroscopy Data," IEEE WHISPERS, Lausanne, 2014, pp. 4.
Richter, R., Heege, T., Kiselev, V., and Schläpfer, D, (2014): "Correction of ozone influence on TOA radiance" Int. J. Remote Sensing, Vol. 35, 8044-8056.
D. Schläpfer, R. Richter, and A. Damm, “Correction Of Shadowing In Imaging Spectroscopy Data By Quantification Of The Proportion Of Diffuse Illumination,” presented at the 8th SIG-IS EARSeL Imaging Spectroscopy Workshop, Nantes, 2013, pp. 10.
Ben-Dor E., T. Malthus, A. Plaza, and D. Schläpfer, “Hyperspectral Remote Sensing,” in Airborne Measurements for Environmental Research: Methods and Intruments, no. 8, M. Wendisch and J.-L. Brenguier, Eds. Wiley-Blackwell, 2013, pp. 413-456.
Schläpfer, D., Richter, R., & Kellenberger, T. (2012). Aspects Of Atmospheric And Topographic Correction Of High Spatial Resolution Imagery (pp. 1–4). Presented at the IGARSS 2012, Munich.
Schläpfer, D., Richter, R., & Kellenberger, T. (2012). Atmospheric and Topographic Correction of Photogrammetric Airborne Digital Scanner Data (ATCOR-ADS). Presented at Eurocows 2012, Catelldelfels Barcelona, pp 5.
Markelin, L., Honkavaara, E., Schläpfer, D., Bovet, S., & Korpela, I. (2012). Assessment of Radiometric Correction Methods for ADS40 Imagery. Photogrammetrie, Fernerkundung, Geoinformation, 2012(3), 251–266. doi:10.1127/1432-8364/2012/0115.
Schläpfer, D., and R. Richter (2011), Spectral Polishing of High Resolution Imaging Spectroscopy Data, presented at 7th SIG-IS Workshop on Imaging Spectroscopy, Edinburgh, pp. 7.
Schläpfer, D. (2011), Implications and caveats of using MODTRAN-5 for inflight Validation and Calibration, Presented at EUFAR JWGM Sensors, Cal/Val, and Data Processing, Edinburgh, 1-25.
Honkavaaraa, E. et al. (2011), The EUROSDR Project “Radiometric Aspects Of Digital Photogrammetric Images” – Results Of The Empirical Phase, in IPI Workshop, pp. 1-8.
Ben-Dor, E., T. Feingersh, S. Filin, and D. Schläpfer (2010), Better analysis of hyperspectral images by correcting reflectance anisotropy, SPIE Newsroom, 1-3, doi:10.1117/2.1201003.002869.
D. Schläpfer, R. Richter, and A. Hueni, 2009: Recent Developments In Operational Atmospheric And Radiometric Correction Of Hyperspectral Imagery. presented at 6th EARSeL SIG IS Workshop, Tel Aviv, March 16 – 18, 2009, pp 6.
T. Feingersh, D. Schläpfer, and E. Ben-Dor, 2009: Towards Operational Brdf Correction For Imaging Spectrometry Data, presented at 6th EARSeL SIG IS Workshop, Tel Aviv, March 16 – 18, 2009, pp 6.
Weyermann, J, Schläpfer, D, Hueni, A, Kneubuhler, M, Itten, KI., 2009: Land Cover Classification Concept For Anisotropy Correction In Hyperspectral Imagery. presented at 6th EARSeL SIG IS Workshop, Tel Aviv, March 16 – 18, 2009, pp 6.
Weyermann J., D. Schläpfer, A Hueni, M Kneubühler, M Schaepman, 2009: Spectral Angle Mapper (SAM) for anisotropy class indexing in Imaging Spectrometry data. SPIE Denver (2009) pp. 1-12.
Richter R. and Schläpfer D., 2008: "Considerations on Water Vapor and Surface Reflectance Retrieval for Spaceborne Imaging Spectrometer", IEEE Transactions on Geoscience and Remote Sensing, 46(7):1958-1965.
Schläpfer D., J. Nieke, F. Dell Endice, A. Hueni, J. Biesemans, K. Meuleman, and K. I. Itten, 2007: "Optimized Workflow for APEX level 2/3 Processing", presented at the 5th EARSeL Workshop on Imaging Spectroscopy., April 23-25 2007, Bruges, Belgium, 2007, pp 11.
-> PDF download (1 MB)Schläpfer D., Koetz B., Gruber S., and Morsdorf F., 2003: The influence of DEM characteristics on preprocessing of DAIS/ROSIS data in high altitude alpine terrain. 3rd Earsel workshop on Imaging Spectroscopy; Herrsching, Germany, pp. 132-139.
Kaiser J.W., Schläpfer D., Brazile J., Strobl P., Schaepman M.E. and Itten K.I., 2003: Assimilation of Heterogeneous Calibration Measurements for the APEX Spectrometer, International Symposium on Remote Sensing. Sensors, Systems, and Next Generation Satellites IX. SPIE Vol 5234, Barcelona, pp. 211-220.
Gruber S., Schläpfer D., Hoelzle M., 2003: Imaging Spectrometry in High- Alpine Topography: The Derivation of Accurate Broadband Albedo. 3rd Earsel workshop on Imaging Spectroscopy, Herrsching, Germany, pp. 196-205.
Gruber S., Schläpfer D. and Hoelzle M., 2003: Ground albedo derived from DAIS 7915 hyperspectral imagery for energy balance modeling in high-Alpine topography, 8th International Conference on Permafrost 2003, Zurich, Switzerland, (Extended abstract volume) pp. 3.
Schläpfer D., Meier P., and Schaepman M., 2002: Effects of Geo-Atmospheric preprocessing on imaging spectroscopy data quality and methods. 11th Annual JPL Airborne Earth Science Workshop, JPL Publications, March 2002, Pasadena, CA, pp 8.
Schläpfer D. and Richter R., 2002: Geo-atmospheric Processing of Airborne Imaging Spectrometry Data Part 1: Parametric Orthorectification. International Journal of Remote Sensing, 23(13):2609-2630.
Richter R., and Schläpfer D., 2002: Geo-atmospheric processing of airborne imaging spectrometry data. Part 2: Atmospheric/Topographic Correction. International Journal of Remote Sensing, 23(13):2631-2649.
Richter R., and Schläpfer D., 2001: Geo-atmospheric processing of wide FOV airborne imaging spectrometry data. 8th int. Symp. Remote Sensing, SPIE, Toulouse.
Schläpfer D., Hausold A., and Richter R., 2000: A Unified Approach to Parametric Geocoding and Atmospheric/Topographic Correction for Wide FOV Airborne Imagery. Part 1: Parametric Ortho-Rectification Process. Proc. 2nd Earsel Workshop on Imaging Spectroscopy, EARSeL, Enschede, pp 9.
D. Schläpfer, Bojinski S., Schaepman M., and Richter R., 2000: Combination of Geometric and Atmospheric Correction for AVIRIS data in Rugged Terrain. JPL, Pasadena (CA), pp 429-436
Schläpfer D., Schaepman M., and Itten K.I., 1998: Level II pre-processing concept for the AIRBORNE PRISM Experiment (APEX). Proceeding of 1st Earsel Workshop on Imaging Spectroscopy EARSeL/RSL, Zürich, pp 89-96.
Schläpfer D., Meyer P., and Itten K.I., 1998: Parametric Geocoding of AVIRIS Data Using a Ground Control Point Derived Flightpath. Summaries of the Seventh JPL Airborne Earth Science Workshop, published on the Web, JPL, Pasadena (CA), pp 367-372.
Schläpfer D., Schaepman M.E., and Itten K.I., 1998: PARGE: Parametric Geocoding Based on GCP-Calibrated Auxiliary Data. SPIE Int. Symp. on Opt. Sc, Eng. and Instr., San Diego (CA), pp 334-344.
Reulke N., Reulke R., Schaepman M., Schläpfer D., Strobl P., and Müller A., 1997: Geometric Correction of Hyperspectral Scanner Data with Simultaneously Acquired Stereo Data. E.P. Baltsavias (Ed.), Joint ISPRS Commission III/IV, Vol. 32, Part 3-4W2, Stuttgart (G), pp 9-14.
On Atmospheric Imaging Spectroscopy
D. Schläpfer, R. Richter, and P. Reinartz, "Elevation-Dependent Removal of Cirrus Clouds in Satellite Imagery", Remote Sensing, vol. 12, no. 3, pp. 494–15, Feb. 2020.
D. Klein, R. Richter, C. Strobl, and D. Schläpfer, “Solar Influence on Fire Radiative Power Retrieved With the Bispectral Method,” IEEE Transactions on Geoscience and Remote Sensing, vol. PP, no. 99, pp. 1–8, Feb. 2019.
D. Schläpfer, A. Hueni, and R. Richter, “Cast Shadow Detection to Quantify the Aerosol Optical Thickness for Atmospheric Correction of High Spatial Resolution Optical Imagery,” Remote Sensing, vol. 10, no. 2, p. 25, Feb. 2018.
D. Schläpfer and R. Richter, “Atmospheric Correction of Imaging Spectroscopy Data Using Shadow-Based Quantification of Aerosol Scattering Effects,” EARSeL eProceedings, vol. 16, no. 1, pp. 21–28, Nov. 2017.
A. Makarau, R. Richter, D. Schläpfer, and P. Reinartz, “APDA Water Vapor Retrieval Validation for Sentinel-2 Imagery,” Ieee Geoscience and Remote Sensing Letters, vol. 14, no. 2, pp. 227–231, Jan. 2017.
A. Makarau, R. Richter, D. Schläpfer, and P. Reinartz, “Combined Haze and Cirrus Removal for Multispectral Imagery,” Ieee Geoscience and Remote Sensing Letters, vol. 13, no. 3, 2016.
A. Damm, L. Guanter, W. Verhoef, D. Schläpfer, S. Garbari, and M. E. Schaepman, "Impact of varying irradiance on vegetation indices and chlorophyll fluorescence derived from spectroscopy data," Remote Sens. Environ., vol. 156, pp. 1-14, 2013.
Schläpfer Daniel and Richter Rudolf, 2010: Self-Contained Atmospheric Correction and Parameter Retrieval from Imaging Spectroscopy Data. Presented at the International Conference on Airborne Research for the Environment (ICARE), Toulouse F (2010), (CD-ROM).
Richter, R., D. Schläpfer, and A. Müller (2011), Operational Atmospheric Correction for Imaging Spectrometers Accounting for the Smile Effect, IEEE Transactions on Geoscience and Remote Sensing, 49(5), 1772-1780.
Schläpfer Daniel and Richter Rudolf, 2010: Advances in Remote Sensing Data Processing Using the Modtran®5-Enhanced MODO and ATCOR Software. Presented at IEEE 32nd Review of Atmospheric Transmission Models Meeting, Boston MA (2010) pp. 27 (CD-ROM).
Richter, R., X. Wang, M. Bachmann, and D. Schläpfer (2011), Correction of cirrus effects in Sentinel-2 type of imagery, Int. J. of Remote Sensing, 32(10), 2931–2941, doi:10.1080/01431161.2010.520346.
F. Seidel, D. Schläpfer, and K.I. Itten, 2009: Efficient Radiation Transfer Calculation And Sensor Performance Requirements For The Aerosol Retrieval By Airborne Imaging Spectroscopy. presented at 6th EARSeL SIG IS Workshop, Tel Aviv, March 16 – 18, 2009, pp 6.
Schläpfer, D., Jan Biesemans, Andreas Hueni, and Koen Meuleman, 2008: "Evaluation of the Atmospheric Correction Procedure for the APEX Level 2/3 Processor", presented at SPIE Remote Sensing Europe, pp. 12.
-> PDF downloadRudolf Richter, Daniel Schläpfer, 2009: Reply to: „Error propagation in atmospheric correction due to azimuthal angle simplification of lookup tables” International Journal of Remote Sensing (2009) vol. 30 (2) p. 283.
Felix Seidel, Daniel Schläpfer, Jens Nieke and Klaus I. Itten, 2008: Sensor Performance Requirements for the Retrieval of Atmospheric Aerosols by Airborne Optical Remote Sensing. Sensors 2008, 8:1901-1914
(PDF format, 2378 K)Seidel, F.C., Nieke, J., Schläpfer, D., Itten, K.I. and Bowles, J.H., 2006: Evaluation of near-uv/blue aerosol optical thickness retrieval from airborne hyperspectral imagery. IEEE International Conference on Geoscience and Remote Sensing Symposium, IGARSS 2006 , pp. 2247-2250.
(PDF download)Richter R., Schläpfer D. and Müller A., 2006: An automatic atmospheric correction algorithm for visible/NIR imagery. International Journal of Remote Sensing, 27(10): 2077-2085.
-> PDF downloadKaiser J.W., Nieke J., Schläpfer D., Brazile J. and Itten K.I., 2006: The atmospheric sensitivity of the airborne imaging spectrometer APEX. In: H. Fischer and B.J. Sohn (Editors), IRS 2004: Current Problems in Atmospheric Radiation, A. Depaak Publishing, Hampton, Virginia, 4 p.
-> PDF downloadSchläpfer D. and Nieke J., 2005: Operational Simulation of at Sensor Radiance Sensitivity using the MODO/MODTRAN Environment. B. Zagojiewski (Editor), 4th EARSeL Workshop on Imaging Spectroscopy. Earsel, Warsaw, pp. 8.
Schläpfer D., Mccubbin I.B., Kindel B., Kaiser J.W. and Ben-Dor E., 2005: Wildfire Smoke Analysis using the 760 nm Oxygen Absorption Feature. B. Zagojiewski (Editor), 4th EARSeL Workshop on Imaging Spectroscopy. Earsel, Warsaw, pp. 11.
Seidel F., Nieke J., Schläpfer D., Höller R., Hoyningen-Huene W.v. and Itten K.I., 2005. Aerosol retrieval for APEX airborne imaging spectrometer: a preliminary analysis. In: K. Schäfer (Editor), Remote Sensing of Clouds and the Atmosphere X. Brugge, SPIE Vol 5979, 59791W.
Nieke, J, Seidel, F, Kaiser, J W, Schläpfer, Daniel, Itten, Klaus I., 2005: New retrieval capabilities for remote sensing of atmospheric parameters. Proceedings of the 39th RSSJ Workshop (2005) pp. 2.
(PDF download)Kaiser J.W., Nieke J., Schläpfer D., Brazile J. and Itten K.I., 2005: Sensitivity Study for Atmospheric Applications with APEX. B. Zagojiewski (Editor), 4th EARSeL Workshop on Imaging Spectroscopy. Earsel, Warsaw, pp. 8.
Popp C., Schläpfer D., Bojinski S., Schaepman M. and Itten K.I., 2004: Evaluation of Aerosol Mapping Methods using AVIRIS Imagery. R. Green (Editor), 13th Annual JPL Airborne Earth Science Workshop. JPL Publications, March 2004, Pasadena, CA, pp.10 (CD-ROM).
Bojinski S., Schläpfer D., Schaepman M., Keller J. and Itten K.I., 2004: Aerosol mapping over land with imaging spectroscopy using spectral autocorrelation. International Journal of Remote Sensing, 25(22): 5025-5047.
Böttger U., Mendrok J., Preusker R. and Schläpfer D., 2004: Degree of polarization of light in an atmosphere-surface system for optical remote sensing. submitted to Journal of Atmospheric and Oceanic Technology: pp. 49.
Bojinski S., Schläpfer D., Schaepman M., and Keller J., 2002: Aerosol mapping over rugged heterogeneous terrain with imaging spectrometer data. Imaging Spectrometry VIII, Proc. SPIE, San Diego, Vol. 4816:108-119.
Schläpfer D., 2001: MODO: An Interface to MODTRAN for the Simulation of Imaging Spectrometry At-Sensor Signals. Summ. 10th Ann. JPL Airborne Earth Science WorkshopProc. JPL, Pasadena, USA, pp 343-350.
Schläpfer D., Bojinski S., and Schaepman M., 2000: Radiometric Performance Requirements for Optimal Atmospheric Processing of Hyperspectral Imagery. Proc. 2nd Earsel Workshop on Imaging Spectroscopy, EARSeL, Enschede, pp 9.
Schläpfer D., Borel C.C., Keller J., and Itten K.I., 1998: Atmospheric Pre-Corrected Differential Absorption Techniques to Retrieve Columnar Water Vapor. Remote Sensing of Environment, Elsevier, 65(3):353-366.
-> PDF downloadJohannes Keller and Daniel Schläpfer, 1998: Intercomparison of Solar Radiometer and Radio Sounding Water Vapor Columns for Atmospheric Processing of Imaging Spectroscopy Data. Proceeding of 1st Earsel Workshop on Imaging Spectroscopy EARSeL/RSL, Zürich, pp 245-252.
Schläpfer D., Itten K.I., and Keller J., 1997: Retrieval of the Horizontal and the Vertical Water Vapor Distribution from AVIRIS Data. Proceeding of the 7th International Conference on Pysical Signatures in Remote Sensing, ISPRS, Courchevel (F), pp 591-598.
Borel C.C., and Schläpfer D., 1996: Atmospheric Pre-Corrected Differential Absorption Techniques to Retrieve Columnar Water Vapor: Theory and Simulations. Summaries of the Sixth Annual JPL Airborne Earth Science Workshop, V ol. 1, JPL, Pasadena (CA), pp 13-21.
Schläpfer D., Borel C.C., Keller J., and Itten K.I., 1996: Atmospheric Pre-Corrected Differential Absorption Techniques to Retrieve Columnar Water Vapor: Application to AVIRIS 91/95 Data. Summaries of the Sixth Annual JPL Airborne Earth Science Workshop, Vol. 1, JPL, Pasadena (CA), pp 209-217.
Schläpfer D., Keller J., and Itten K.I., 1995: Imaging Spectrometry of Tropospheric Ozone and Water Vapor. E.Parlow (Ed.), Progress in Environmental Remote Sensing Research and Applications, Balkema, Rotterdam (NL), pp 439-446.
Schläpfer D., Keller J., and Itten K.I., 1995: Imaging Spectrometry of Tropospheric Ozone: Methodology of Channel Selection. presented at IGARSS international Symposium , (seperatum), Florence (I), pp 3.
Schaepman M., Itten K.I., Schläpfer D., Kurer U., Veraguth S., and Keller J., 1995: Extraction of Ozone and Chlorophyll A Distribution from AVIRIS Data. Green R. (Ed.), Summaries of the Fifth Annual JPL Airborne Earth Science Workshop, Vol.1, JPL, Pasadena (CA), pp 149-152.
On Sensor Design and Calibration
A. Hueni, D. Schlaepfer, M. Jehle, and M. Schaepman, “Impacts of dichroic prism coatings on radiometry of the airborne imaging spectrometer APEX,” Applied Optics, vol. 53, no. 24, p. 5344, 2014.
A. Hueni, D. Schläpfer, M. Jehle, and M. Schaepman, “APEX: Radiometry Under Spectral Shift Conditions,” Jun. 2014.
K.I. Itten, K. Meuleman, M. Schaepman, E.A. Alberti, B. Bomans, F. Dell'Endice, P. D'Odorico, A. Hueni, J. Nieke, D. Schläpfer,and G.J.Ulbrich. 2009: First Test Results Of The Airborne Dispersive Pushbroom Imaging Spectrometer Apex. presented at 6th EARSeL SIG IS Workshop, Tel Aviv, March 16 – 18, 2009, pp 6.
Eija Honkavaara, Roman Arbiol, Lauri Markelin, Lucas Martinez, Michal Cramer, Stéphane Bovet, Laure Chandelier, Risto Ilves, Sascha Klonus, Paul Marshal, Daniel Schläpfer, Mark Tabor, Christian Thom, Nikolaj Veje., 2009: Digital Airborne Photogrammetry—A New Tool for Quantitative Remote Sensing?—A State-of-the-Art Review On Radiometric Aspects of Digital Photogrammetric Images. Remote Sensing (2009) vol. 1 (3) pp. 577-605.
-> PDF downloadItten K.I., Francesco DellEndice, Andreas Hueni, Mathias Kneubühler, Daniel Schläpfer, Daniel Odermatt, Felix Seidel, Silvia Huber, Jürg Schopfer, Tobias Kellenberger, Yves Bühler, Petra D'Odorico, Jens Nieke, Edoardo Alberti, Koen Meuleman, 2008: "APEX - the Hyperspectral ESA Airborne Prism Experiment". Sensors, Vol. 8:6235-6259.
-> PDF downloadA. Hueni, J. Biesemans, K. Meuleman, F. DellEndice, D. Schläpfer, D. Odermatt, M. Kneubuehler, S. Adriaensen, S. Kempenaers, J. Nieke, K.I. Itten, 2008: "Structure, Components and Interfaces of the Airborne Prism Experiment (APEX) Processing and Archiving Facility", TGARS vol. 00047 pp. 17
Jason Brazile, R. A. Neville, K. Staenz, D. Schläpfer, L. Sun, and K. I. Itten, 2008: "Towards scene-based retrieval of spectral response functions for hyperspectral imagers using Fraunhofer lines," Canadian Journal of Remote Sensing, 34(8):S43-S58.
-> PDF downloadF. DellEndice, J. Nieke, D. Schläpfer, and K. I. Itten, “Scene-based method for spatial misregistration detection in hyperspectral imagery.,” Applied Optics, vol. 46, no. 15, pp. 2803–2816, May 2007.
Jens Nieke, Daniel Schläpfer, Francesco Dell’Endice, Jason Brazile, Klaus I. Itten, 2008. "Uniformity of Imaging Spectrometry Data Products", IEEE Transactions on Geoscience and Remote Sensing, 46(10):3326 - 3336.
-> PDF downloadSchläpfer D., Nieke J., and Itten K. I., 2007. "Spatial PSF non-uniformity effects in airborne pushbroom imaging spectrometry data", IEEE Transactions on Geoscience and Remote Sensing, Vol. 45(2):458-468.
J. Nieke, F. Dell’Endice, A. Hüni, M. Kneubühler, D. Schläpfer, B. Kötz, J. Schopfer, K. I. Itten, and A. Plaza, 2007: Calibration and Validation Activities in the Scope of HYPER-I-NET: The RSL Approach, presented at the IEEE International Geoscience and Remote Sensing Symposium (IGARSS'07), Barcelona, Spain, pp. 2.
Böttger U., Nieke J. and Schläpfer D., 2006. Assessing polarization effects for the airborne imaging spectrometer APEX. Advances in Radio Science, 4:323-328.
Brazile J., Neville R.A., Staenz K., Schläpfer D., Sun L. and Itten K.I., 2006. Scene-Based Spectral Response Function Shape Discernibility for the APEX Imaging Spectrometer. Geoscience and Remote Sensing Letters, 3(3): 414-418.
Nieke, J., Honda, Y., Murakami, H., Schläpfer D., Takeuchi, N., Itten, K.I. Simulation, calibration and validation of Earth observation sensors with APEX, Proc. CEReS International Symposium, Chiba, Japan, 13/14 Dec. 2005
Schläpfer D., Kaiser J.W., Nieke J., Brazile J. and Itten K.I., 2004: Modeling and Correcting Spatial Non-Uniformity of the APEX Pushbroom Imaging Spectrometer. R. Green (Editor), 13th Annual JPL Airborne Earth Science Workshop. JPL Publications, March 2004, Pasadena, CA, pp.11 (CD-ROM).
Schläpfer D., Kaiser J.W., Brazile J., Schaepman M.E. and Itten K.I., 2003: Calibration concept for potential optical aberrations of the APEX pushbroom imaging spectrometer, International Symposium on Remote Sensing. Sensors, Systems, and Next Generation Satellites IX. SPIE, Barcelona, Vol. 5234, pp. 221-231.
Schläpfer D., and Schaepman M., 2002: Modelling the noise equivalent radiance requirements of imaging spectrometers based on scientific applications. Applied Optics, 41(27):5691-5701.
Schaepman M., Schläpfer D., Brazile J., and Bojinski S., 2002: Processing of large-volume airborne imaging spectrometer data: the APEX approach. M. Descour, S. Shen (Eds.), Imaging Spectrometry VIII, Proc. SPIE, San Diego, Vol. 4816:72-79.
-> PDF download (460k)M. Schaepman, D. Schläpfer, and A. Müller, 2001: Performance Requirements for Airborne Imaging Spectrometers. M. Descour, S. Shen (Eds.), Imaging Spectrometry VII, SPIE, San Diego, Vol. 4480:23-31.
Schläpfer D., Schaepman M., and Strobl P., 2002: Impact of Spatial Resampling Methods on the Radiometric Accuracy of Airborne Imaging Spectrometer Data. 5th Int. Airb. R. S. Conf. and Exh., VERIDIAN, San Francisco / Miami, CD-ROM, pp.8.
D. Schläpfer, A. Boerner, S. Bojinski, and M. Schaepman, 2000: Calibration Concept for the Airborne PRISM Experiment (APEX). Canadian Journal of Remote Sensing, 26(5):455-465.
Schaepman M.E., Schläpfer D., and Itten K.I., 2000: APEX – A new Pushbroom Imaging Spectrometer for Imaging Spectroscopy Applications: Current Design and Status. IGARSS 2000, Hawaii, Vol. VII:CD-Rom.
Börner, A., Schaepman, M., Schläpfer, D., Wiest, L., & Reulke, R, 1999: The Simulation of APEX Data: The SENSOR approach . Presented at the Imaging Spectrometry V, SPIE Vol. 3753, pp. 235-246.
D. Schläpfer, A. Boerner, M. Schaepman, and K.I. Itten, 1999: Calibration Concept for the Airborne PRISM Experiment (APEX). Proceedings of the Fourth International Airborne Remote Sensing Conference and Exhibition, June 21st - 24th, 1999, Ottawa, Canada, pp 8-15.
Schaepman M., Schläpfer D., Börner A., Bojinski S., and Itten K.I., 1999: APEX – Airborne PRISM Experiment: A new Airborne Hyperspectral Imager for the Simulation of ESA's Land Surface Processes and Interactions Mission. Proc. ISSR, Las Vegas, pp. 11.
D. Schläpfer, A. Boerner, and M. Schaepman, 1999: The Potential of Spectral Resampling Techniques for the Simulation of APEX Imagery based on AVIRIS Data. Summaries of the Eighth Annual JPL Airborne Earth Science Workshop, JPL, Pasadena (CA), pp 377-384.
Reports
D. Schläpfer, C. Popp, and J. Raebsamen, “Glimps, User Manual v. 2.0 ” ReSe Applications LLC, June 2022.
Schläpfer D., 2012: MODO - Modtran for Remote Sensing Applications. ReSe Applications Schläpfer, Wil, Switzerland, 78 pp.
Schläpfer D., 2012: MODO - Modtran for Remote Sensing Applications. ReSe Applications Schläpfer, Wil, Switzerland, 78 pp.
D. Schläpfer, 2020: Parametric Geocoding, PARGE User Guide, Version 3.5, ReSe Applications Schläpfer, 307 pp.
Richter, R., & Schläpfer, D. (2021). "Atmospheric and Topographic Correction: ATCOR Theoretical Background Document" Report No. DLR-IB 564-03/2021, Wessling, DLR/ReSe, 146 pp.
Richter, R., & Schläpfer, D. (2022). Atmospheric / Topographic Correction for Satellite Imagery - ATCOR 2/3 User Guide Report No. DLR-IB 564-01/2021, Wessling, DLR/ReSe, 211 pp.
Richter, R., & Schläpfer, D. (2021). Atmospheric / Topographic Correction for Airborne Imagery - ATCOR 4 User Guide, No. DLR-IB 565-02/20221, Wessling, DLR/ReSe, 200 pp.
M. Schaepman, D. Schläpfer, K. Itten, P. Strobl, W. Mooshuber, A. Müller, W. Debruyn, I. Reusen, and D. Fransaer, 2001: Performance and Calibration Requirements for APEX: Final Report. ESA/ESTEC Contract–No. 14906/00/NL/DC, University of Zürich, RSL, Zürich, CD-ROM.
ESA, 2000: APEX Phase B Final Reports. Remote Sensing Laboratories, Univ. of Zürich, Switzerland, CD-Rom (available from ESA).
Schläpfer D., 1998: Differential Absorption Methodology for Imaging Spectroscopy of Atmospheric Water Vapor. Dissertation, Remote Sensing Series Vol. 32, RSL, Department of Geography, University of Zürich, pp 131.
Schläpfer D., 1994: Bildspektrometrie atmosphärischer Spurengase. Diplomarbeit, Geographisches Institut der Universität Zürich, Zürich, pp 116.
Some Related Papers:
Jason Brazile, Rudolf Richter, Daniel Schläpfer, Michael E. Schaepman, Klaus I. Itten, 2008: "Cluster versus Grid for Operational Generation of ATCOR’s MODTRAN-based Look Up Tables", Parallel Computing, Elsevier, 34(1):32-46.
Brazile J., Schaepman M., Schläpfer D., Kaiser J.W. and Itten K.I., 2004. Cluster versus grid for large-volume hyperspectral image preprocessing. In: H.-L.A. Huang and H.J. Bloom (Editors), Atmospheric and Environmental Remote Sensing Data Processing and Utilization: an End-to-End System Perspective. SPIE, Denver, CO, Vol. 5548, pp. 48-58.
Brazile J., Schaepman M., Schläpfer D., Kaiser J.W. and Itten K.I., 2003. A Beowulf-Style Cluster Processing Concept for Large Volume Imaging Spectroscopy Data. In: N.C.e. al. (Editor), The 7th World Multiconference on Systemics, Cybernetics and Informatics SCI 2003. IIIS, Denver, CO, Vol. X, pp. 48-58.
Bojinski S., Schaepman M., Schläpfer D. and Itten K., 2003: SPECCHIO: a spectrum database for remote sensing applications. Computers & Geosciences, 29: 27-38.
Bojinski S., Schaepman M., Schläpfer D. and Itten K., 2002: SPECCHIO: a Web-accessible database for the administration and storage of heterogeneous spectral data. ISPRS Journal of Photogrammetry and Remote Sensing, 57(3): 204-211.
Börner A., Wiest L., Keller P., Reulke R., Richter R., Schaepman M., and Schläpfer D., 2001: SENSOR: A tool for the simulation of hyperspectral remote sensing systems. ISPRS Journal of Photogrammetry & Remote Sensing, Elsevier, 55:299-312.
Strub G., Beisl U., Schaepman M., Schläpfer D., Dickerhof C., and Itten K.I., 2000: Evaluation of Diurnal Hyperspectral BRF Data Acquired with the RSL Field Goniometer During the DAISEX'99 Campaign. Proc. 2nd Earsel Workshop on Imaging Spectroscopy, EARSeL, Enschede, pp 9.
Kneubuehler M., Börner A., Reulke R., Schaepman M., and Schläpfer D., 1999: Sensitivity Analysis of Spectral Properties Using Multisensor Image Data. 4th Int. Airb. R. S. Conf. and Exh., ERIM, Ottawa, CA, Vol. I:107-114.
Schaepman M., Schläpfer D., Müller A., and Strobl P., 1997: Ground Spectroradiometric Measurements in Support of the Validation of the Calibration of DIGITAL Airborne Imaging Spectrometer (DAIS 7915) Data. Third International Airborne Remote Sensing Conference and Exhibition, Vol. II, ERIM International Inc., Copenhagen (DK), pp 217-223.
Schaepman M., Keller P., Schläpfer D., Cathomen C., and Itten K.I., 1997: Experimental Determination of Adjacency Effects over an Eutrophic Lake using a Helicopter mounted Spectroradiometer for the Correction of Imaging Spectrometer Data. Third International Airborne Remote Sensing Conference and Exhibition, Vol. II, ERIM International Inc., Copenhagen (DK), pp 497-504.
Reulke N., Reulke R., Schaepman M., Schläpfer D., Strobl P., and Müller A., 1997: Imaging Surface Roughness from Hyperspectral Sensors: An Example from the GER 63 Channel Scanner Data. Third International Airborne Remote Sensing Conference and Exhibition, Vol. II, ERIM International Inc., Copenhagen (DK), pp 329-336.