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Future Developments. A. Müller German Aerospace Center. Content. Technology Trends in Application Campaigns and Applications in Europe GMES & Imaging Spectroscopy? EnMAP. Technology. Scan Principles. Dispersive Element (e.g. Grating). Dispersive Element (e.g. Prism).
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Future Developments A. Müller German Aerospace Center
Content • Technology • Trends in Application • Campaigns and Applications in Europe • GMES & Imaging Spectroscopy? • EnMAP
Technology Scan Principles Dispersive Element (e.g. Grating) Dispersive Element (e.g. Prism) ARES, AHS, HyMap APEX, ROSIS Courtesy of Dr. P. Strobl, DLR IMF-EV, now JRC
Technology Sensor Technology Rockwell et al : Array Detector Technology driven by Defense Activities Sofradir: APEX Detector funded by ESA AIM: EnMAP Detector funded by DLR ELOP: In-house and external developments for dual use sensors …….
Technology Field Spectrometers • Portable • Durable • Low Power Consumption
Technology Operationalisation of Ground Instruments
Environmental Monitoring Campaigns And Applications 1999 After cyclone 2002 Pre-wet 1998 Pre-wet Courtesy of Cindy Ong, CSIRO
Campaigns And Applications Temporal Changes in Soil pH May 2004 May 1999 August 2004
Satellite Initiatives GMES Global Monitoring for Environment and Security A p p l i c a t i o n s G r o u n d S e g m e n t S p a c e S e g m e n t
Satellite Initiatives European Satellites (for GMES) 2001 - 2005 2006 - 2010 2011 - 2015 Science Earth Explorer Operational Sentinels 1. SAR ERS-1/2 Envisat Living Planet Earth Watch 2. Superspectral IR Monitoring 3. Ocean Monitoring 4. Atmosphere/Geo 5. Atmosphere/Polar TerraSAR-X Cosmo Skymed N a t i o n a l Pleiades SPOT Series Rapid Eye Tandem-X and EnMAP
Satellite Initiatives Environmental Monitoring and Analysis Programme The EnMAP Mission A German Hyperspectral Satellite Mission
EnMAP Structure Mission Advisory Board Scientific PI(GFZ) Project Management (DLR Agency) Science Team Space Segment (Industry PI) Mission Operation Segment (MOS) (DLR GSOC) Payload Ground Segment (PGS) (DLR, C-AF) Commercial Service Element(GAF et. al.)
Spectral Performance Requirements Spectral sampling interval Spectral bandwidth (FWHM) Number of bands total of 200 VNIR-range I 420 nm - 500 nm 20 nm 20 nm 4 II 500 nm - 850 nm 5/10 nm 10 nm 35/70 * III 850 nm - 1030 nm 10 nm 20 nm 18/2* SWIR-range Ia 950 nm - 1390 nm 10 nm 20 nm 44 Ib 1480 nm - 1760 nm 20 nm 40 nm 14 II 1950 nm - 2450 nm 10 nm 20 nm 50 EnMAP - Spectral Instrument Requirements * Water/Land Mode – Water mode VNIR-I/II/III range only
TM/ETM xs EnMAP & otherOptical EO-Sensors 300 100 10 1 Detailed assessments, monitoring with infrequent coverage AVIRIS (from 20000 m) HyMap ARES EnMAP Large scale assessments, monitoring with frequent coverage Hyperion reflective (from 3000 m) from space DAIS 7915 reflective; from 3000 m ARES Number of spectral bands thermal MODIS MODIS reflective thermal MERIS MERIS red spatial resolution DAIS 7915 full spatial resolution thermal AVHRR TIMS HRG xs (from 3200 m) METEOSAT IKONOS pan HRG pan ETM pan TM thermal LISS-1C 1 10 100 1000 10 000 Spatial resolution (GSD in meter)
Mission Principle EnMAP Satellite 2d SWIR Detector Array 950 nm < < 2450 nm SSO Orbit11:00 LTDN n >1000 pixel Swath sampling 2d VNIR Detector Array 420 nm < < 1030 nm Nadir n >1000 pixel Swath sampling Satellite Ground Track Total Length > 5000 km/day > 1000 Pixel for across Track Spatial Coverage = 30 km 30 km Swath Width Ground Pixel Size (GSD): 30 m x 30 m Pointing Range +/- 30° Further Details in EURD & MRD
Spectral Spectral Number of sampling bandwidth bands interval (FWHM) total of 218 VNIR - range (nm) § § § I 4 2 0 - 500 1 0 nm 1 0 nm 8 II 500 - 850 5/10 nm 5/ 10 nm 70/35 III 850 - 1030 10 nm 20 nm 18 SWIR - range § § § Ia 950 - 1390 10 nm 1 0 nm 44 Ib 1480 - 1760 1 0 nm 1 0 nm 28 II 1950 - 2450 10 nm 1 0 nm 50 Hyperspectral Imager
EnMAP Satellite Architecture EnMAP • SAR-Lupe Bus design heritage Modifications • Structural & Thermal (new P/L) • Solar Panel (higher power) • Mass Memory (512 Gbit) • X-Band D/L (higher power & rate) • Avionics SW
EnMAP Space Segment (Satellite) Launcher Hyperspectral Instrument SatelliteBus EnMAP Ground Segment S-Band Station X-Band Station EnMAP Data Acquisition Station Neustrelitz Mission Operation Segment (MOS) LEOP Network DLR-GSOC (MOS) DLR-DFD (PGS) Primary Processing & Archiving Centre DLR EnMAP Operations Support DLR Data Delivery Data Request International EnMAP User Community Mission Elements
EnMAP Processing System Level 0 Product raw data Laboratory Calibration (radiometric and spectral), Vicarious Validation System Correction &Radiometric Calibration at-sensor radiance data Level 1 Product ORTHO direct georeferencing Attitude Data, Position Data, DEM Level 2a Product ortho-rectified data (100m accuracy) optional GEOKORR automated geolocation Level 2a+ Product Reference Image co-located image ATCOR/MIP atmospheric correction Radiative Transfer Model, Atmospheric Variables, Topographic Variables Level 2b Product Atm. corrected data Level 2 Product ortho-rectified atm. corrected data
ATCOR: Cloud Shadow Removal HyMap, Chinchon, Spain, 12 July 2003 RGB=878/646/462 nm
EnMAP Status and Schedule • Phase A successfully completed (9/2005) • Mission selected for realisation (4/2006) • Currently: Preparation for Phase B (allocation of budget finalised!) • Start of Phase B in 10/2006 • Start of Phase C/D: end 2007 • Launch date: end 2010
Messages • Spread the messages! • Hyperspectral techniques provide quantitative information • Go to conferences outside the RS community! • Involve your data provider! • In proposals • Include budget! • Plan early
Introduction • Please shortly introduce the application of hyperspectral data in geo-/bio-sciences • E.g. description of the working field of geo-/bio-sciences • Please indicate the relation of the speaker to the topic
Application Please give a description of the application of hyperspectral data in geo-/bio-sciences, with emphasis on the following aspects: • Often used parameters, derived products, etc. • Purpose of these applications • Methods used for these applications
Examples Please give a few examples of the application of hyperspectral data in geo-/bio-sciences, with emphasis on what is going well and what are the problems.
Developments Please give a short overview of current/planned developments of applications of hyperspectral data and why these developments are necessary • E.g. development of new applications • E.g. development of improved applications
Discussion Points Please formulate 5-10 questions, statements and/or discussion points to initiate the discussion. Think of open ends, problems etc. concerning applications of hyperspectral data.