EnMAP Test data products

Simulated EnMAP data products are provided to the user community as examples of the data product formats [1] that will be available during EnMAP routine mission operations. The end-to-end EnMAP simulation tool developed at GFZ Potsdam [2] [3] [4] together with a geometric simulator developed at DLR [5] were used to generate input test data for land/water simulations. In addition, where indicated, a dedicated simulation with the MIP software [6] [7] of EOMAP GmbH & Co.KG has been used for water pixels and combined with the land simulations. All simulated images used Sentinel-2 scenes as input. The fully-automatic operational processing chain developed by the EnMAP ground segment [8] [9] [10] uses those input data to generate the output products provided here.



Alps, Germany

26 June 2017 (subset) | 47.35 N, 10.84 E

This simulated EnMAP data take consists of three tiles extending approximately from Oberammergau, Germany, in the north to the Austrian Alps in the south. The geometric simulation of this data take was executed in nadir view and the spectral simulation was executed based on a Sentinel-2 scene from June 2017. The L2A product was produced in "land mode", meaning land and water areas were processed using the atmospheric processing software for land (surface reflectance values for all pixels).

Processing details

  • L1B: Default
  • L1C: UTM projection, bilinear interpolation
  • L2A: UTM projection, bilinear interpolation, land mode, no cirrus or haze removal,
    with terrain correction, summer season, ozone column 300


Arcachon, France

08. Nov. 2017 (subset) | 44.44 N, 1.16 W

This simulated EnMAP tile is located just south of the commune Arcachon in France. The geometric simulation of this data take was executed in nadir view and the spectral simulation was executed based on a Sentinel-2 scene from November, 2017. Land pixels are simulated with EnMAP science segment simulation and water pixels with EOMAP GmbH & Co.KG simulation. The L2A product was produced in "combined mode", meaning land and water areas were processed using the atmospheric processing software for land and water respectively (surface reflectance values for land pixels and underwater reflectance values for water pixels).

Processing details

  • L1B: Default
  • L1C: UTM projection, bilinear interpolation
  • Geographic projection, bilinear interpolation, combined mode, no cirrus or haze removal,
    with terrain correction, summer season, ozone column 300



Changelog

19.05.2020
  • Added L1B, L1C and L2A products of a tile from Arcachon datatake.
  • For the spectral images and the quicklooks of the Alps L1B products, an issue with the "geotransform matrix" in the GeoTIFF header was fixed.
08.04.2020
  • Added L1B, L1C and L2A products for 3 tiles from Alps datatake.

References

  • [1] EN-PCV-ICD-2009-2 EnMAP HSI Level 1 / Level 2 Product (1.5 excerpt and draft)
  • [2] Segl, K., Guanter, L., Rogaß, C., Küster, T., Roessner, S., Kaufmann, H., Sang, B., Mogulsky, V., Hofer, S. (2012): EeteS - The EnMAP End-to-End Simulation Tool. - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 5, 2, p. 522-530. http://doi.org/10.1109/JSTARS.2012.2188994
  • [3] Segl, K., Guanter, L., Kaufmann, H., Schubert, J., Kaiser, S., Sang, B., Hofer, S. (2010): Simulation of Spatial Sensor Characteristics in the Context of the EnMAP Hyperspectral Mission. - IEEE Transactions on Geoscience and Remote Sensing, 48, 7, p. 3046-3054. http://doi.org/10.1364/AO.51.000439
  • [4] Guanter, L., Segl, K., Kaufmann, H. (2009): Simulation of Optical Remote-Sensing Scenes With Application to the EnMAP Hyperspectral Mission. - IEEE Transactions on Geoscience and Remote Sensing, 47, 7, p. 2340-2351. http://doi.org/10.1364/OE.17.011594
  • [5] Schwind, P.; Müller, R.; Palubinskas, G.; Storch, T. (2012): An in-depth simulation of EnMAP acquisition geometry. ISPRS Journal of Photogrammetry and Remote Sensing, 70, p. 99-106.
  • [6] Kiselev, V., Bulgarelli, B. and Heege, T., 2015. Sensor independent adjacency correction algorithm for coastal and inland water systems. Remote Sensing of Environment, 157: 85-95. , ISSN 0034-4257 http://dx.doi.org/10.1016/j.rse.2014.07.025
  • [7] Kisselev, V.; Bulgarelli, B. (2004). Reflection of light from a rough water surface in numerical methods for solving the radiative transfer equation. Journal of Quantitative Spectroscopy and Radiative Transfer 85, 419-435.
  • [8] Storch, Tobias und Honold, Hans-Peter und Guanter, Luis und Schwind, Peter und Mücke, Martin und Segl, Karl und Fischer, Sebastian (2018) The Imaging Spectroscopy Mission EnMAP - Its Status and Expected Products. In: 9th Workshop on Hyperspectral Image and Signal Processing (WHISPERS), Seiten 1-5. WHISPERS 2018, 23.-26. September 2018, Amsterdam, Netherlands.
  • [9] Storch, T.; Heiden, U.; und Asamer, H.; und Dietrich, D.; und Fruth, T.; Schwind, P.; Ohndorf, A.; Palubinskas, G.; Habermeyer, M.; Fischer, S.; Chlebek, C. (2017): EnMAP - From Earth Observation Request, Planning, and Processing To Image Product Delivery. EARSeL SIG IS, 19 – 21. April 2017, Zürich, Switzerland.
  • [10] Storch, T.; Bachmann, M.; Eberle, S; Habermeyer, M.; Makasy, C.; de Miguel, A.; Mühle, H.; Müller, R. (2013): EnMAP Ground Segment Design: An Overview and Its Hyperspectral Image Processing Chain. Earth Observation for Global Change, Earth Observation for Global Change, Lecture Notes in Geoinformation and Cartography, Springer, 49-62.
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