Towards agreed data quality layers for airborne hyperspectral imagery

Transcription

1 Towards agreed data quality layers for airborne hyperspectral imagery M. Bachmann, DLR M. Bachmann, DLR, S. Adar, TAU; E. Ben-Dor, TAU; J. Biesemans, VITO; X. Briottet, ONERA; M. Grant, PML; J. Hanus, USBE; S. Holzwarth, DLR; A. Hueni, UZH; M. Kneubuehler, UZH; K. Meuleman, VITO; E. de Miguel, INTA; I. Perez Gonzalez, INTA; I. Reusen, VITO; R. Richter, DLR; T. Ruhtz, FUB; M. Schaale, FUB 7th EARSeL SIG Imaging Spectroscopy workshop Edinburgh, April 2011

2 EUFAR Joint Research Activity JRA2 Research objective: To develop quality indicators and quality layers for airborne hyperspectral imagery All major PAFs for airborne hyperspectral data in Europe included: PML/NERC, INTA, VITO/RSL, DLR, USBE, TAU, FUB (ONERA associated) Previous tasks within JRA2: Uncertainty estimation of various pre-processing steps Questionnaire for the selection of generic Quality Indicators What's new: Recommendation on algorithms Harmonization of QI design Implementation in PAFs Folie 2

3 Aim: Provision of Quality Layers and Reports operationally for every processed dataset in standardized, harmonized and user-friendly way Example: DLR s Quality Layers in ENVI Folie 3

4 Agreed common algorithms for Quality Layers Aggregated interpolated pixel mask Aggregated bad pixel mask ( not corrected ) Saturated pixel / overflow Problems with position / attitude Interpolated position / attitude Cloud mask Cloud shadow mask Haze mask Critical local viewing and illumination geometry. additional PAF-specific layers All documented in ATBD EUFAR DJ2.2.2 & Folie 4

5 Extended Metadata ( Data Descriptors ) General INSPIRE / ISO metadata: Provider and contact information (Laboratory) Calibration information Processing information Also includes information on data quality, e.g. Confidence in atmospheric correction from model itself (e.g., number of DDV pixels) Aerosol optical thickness, WaterVapor content Information on DEM (e.g. resolution, accuracy, ) used for processing Folie 5

6 Harmonization VITO / RSL implementation in HDF5 DLR implementation in HDF5 Folie 6

7 Inclusion of QC into PAF workflow AHS aux files L0 image SBET MarkerBit (POE gaps) Implementation of QC procedures in automated processing workflows using agreed approaches QL(3) saturated pix AHS_Rencpy POE tool PARGE QL(4,5) position problem attitude problem DEM angles scan angles Therefore the same set of QL with every dataset from EUFAR PAFs QL(1) radiance < 0 A3 ATCOR4 Software testing & validation currently in progress QL(6) Cloud mask Data descriptors Example: INTA AHS processing Folie 7

8 Inclusion of QC into PAF workflow Implementation of QC procedures in automated processing workflows using agreed approaches QL(3) saturated pix QL(4,5) position problem attitude problem Therefore the same set of QL with every dataset from EUFAR PAFs QL(1) radiance < 0 Software testing & validation currently in progress QL(6) Cloud mask Data descriptors Example: INTA AHS processing Folie 8

9 Inclusion of QC into PAF workflow QL(4,5) position problem attitude problem QL(3) saturated pix QL(1) radiance < 0 QL(6) Cloud mask Data descriptors Example: INTA AHS processing Example: L1 SW DLR Folie 9

10 Common approaches establishing standards HyMap high altitude scene (15km AGL), truecolor RGB, provided by HyVista Folie 10

11 Common approaches establishing standards HyMap high altitude scene (15km AGL), truecolor RGB, provided by HyVista Wide FOV (~60 ) Folie 11

12 Common approaches establishing standards HyMap high altitude scene (15km AGL), truecolor RGB, provided by HyVista Quality Layer: cloud mask Quality Layer: cloud mask Results from common approach for L2 (Richter 2010, see EUFAR DJ222) Folie 12

13 Common approaches establishing standards HyMap high altitude scene (15km AGL), truecolor RGB, provided by HyVista Cloud mask Comparison of L1 mask (blue, foreground) and L2 mask (yellow, background) Folie 13

14 Common approaches establishing standards HyMap high altitude scene (15km AGL), truecolor RGB, provided by HyVista Quality Layer: cloud shadow mask Results from common approach for L2 (Richter 2010, see EUFAR DJ222) Folie 14

15 Common approaches establishing standards HyMap high altitude scene (15km AGL), truecolor RGB, provided by HyVista Cloud shadow mask Comparison of common approach (red) with interactive digitizing (green) Limitations of automated processing R&D for processing chains Folie 15

16 Common approaches establishing standards Quality Layer: critical local viewing and illumination geometry Provision of complete information: View zenith & azimuth angle Solar zenith & azimuth angle Local illumination angle Sky view factor Therefore: User can decide which BRDF geometry is critical for a specific application Advanced surface-dependent BRDF models can easily be applied Example: VITO PAF Folie 16

17 Outlook and Next Steps Extension of Quality DLR and other PAFs For EnMAP, for ESA CCI Burnt Area (MERIS, (A)ATSR, ) Development of additional Quality Indicators Continuity of hyperspectral JRA within next EUFAR Again, all PAFs involved in order to guarantee European dimension Folie 17

18 Thank you for your attention! For references & ATBDs see

19 Common approaches but PAF-specific Folie 19

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