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Remote Sensing Section
EnMAP
Environmental Mapping and
Analysis Program
Kaufmann et al., 2005GeoForschungsZentrum Potsdam
4th ESA Chris Proba Workshop ESA-ESRIN Frascat, Italy
Remote Sensing Section
Introduction
In 2003 DLR-Agency started a selection process for a future Earth observation mission
9 different missions have been proposed
2 proposals have been selected for a phase A study:EnMAP: Hyperspectral Mission
TanDEM-X: SAR Interferometry Mission
Phase A study for EnMAP accomplished end of 2005, URD and MRD provided
Both proposed missions have been selected for implementationFinancial budget for EnMAP => € 65 Mio (Instrument + Bus + Launcher)
Start of phase B for EnMAP in October 2006
Envisaged launch date for EnMAP end of 2010
Environmental Mapping and Analysis Program
Overall Mission Goals
To provide high-spectral resolution observations of bio-geochemical and geophysical variables
To observe and develop a wide range of ecosystem parametersencompassing agriculture, forestry, soil/geological environments and coastal zones/inland waters
To enable the retrieval of presently undetectable, quantitative diagnostic parameters needed by the user community
To provide high-quality calibrated data and data products to be used as inputs for improved modeling and understanding of biospheric/geospheric processes
Remote Sensing Section
Multi- versus Hyper-spectral / Potentials
Makhtesh Ramoncolor composite of bands 1, 20, 48
N
appr. 1 km
chlorite
alunite
dolomitecalcite
kaolinite
gypsum
Hyper-spectral
Contiguous bands• maximum identification• increased classification
accuracy• high confidence
Few fixed bands• minimum identification• field knowledge and lab-
analysis required• low confidence
Multi-spectral
Remote Sensing Section
Identification/Quantification => Diagnosis
2.0 2.05 2.1 2.15 2.2 2.25 2.3 2.3540
50
60
70
80
90
100
D = 1 - Rmin / Rc
Rc
Rmin
Wavelength in microns
Ref
lect
ance
[%]
kaolinite
Individual Absorptionsof pigments, minerals, man made objects
Shape
Position
Depth Quantification
Identification
Each material on the Earth´s surface has a unique spectral characteristic
Remote Sensing Section
Simulation Approach (SWIR-Range)
Simulation parameters:
1950 nm - 2450 nm
510 spectra of 51 minerals
Six different bandwidth: 5,10,15,20,30,50 (FWHM)
All possible band centrings (steps of 1 nm)
Noise Model 50, 100, 200 (SNR)
780 spectral libraries – 23409 spectra each
Classifier: Spectral Feature Fitting (SFF)Reduction of feature depth to simulate exposed natural surfaces
Remote Sensing Section
Simulations for opt. Band Design & SNR
MODTRAN
full resolutionfield spectrum
full resolutionradiance
resampled radiance
SpectralResponseFunction
SNR 200
SNR 100
SNR 50
retrieved EnMAPspectra
resampledfield spectrum
noisy resampledradiance
Noise ModelMODTRANSpectralResponseFunction
Remote Sensing Section
SWIR - Results for Detectability of Minerals
Results of detectability calculations
Final results indicating optimumdetectability at 10-15 nm forSNR ~150:1 and nearly indepen-dent from centering position
Model for increasing SNR at increasing FWHM
Remote Sensing Section
Spectral Requirements
SpectralSamplinginterval
SpectralBandwidth
(FWHM)
Number ofBands
(total of 218)
VNIR-range
I 420 nm - 500 nm 10 nm 10 ± 1 nm 8
II 500 nm - 850 nm 5/10 nm 5/10 ± 1 nm * 70/35
III 850 nm - 1030 nm 10 nm 10 ± 1 nm 18
SWIR-range
Ia 950 nm - 1390 nm 10 nm 10 ± 1 nm 44
Ib 1480 nm - 1760 nm 10 nm 10 ± 1 nm 28
II 1950 nm - 2450 nm 10 nm 10 ± 1 nm 50* Water/Land Mode
Remote Sensing Section
VNIR Detector Trade-off
Investigations and meetings with manufacturers like E2V (UK) / Atmel (F) / Dalsa (NL) / Fillfactory (B) / Fairchild + Rockwell (USA)
Simulations have shown non-compliances in Frame Rate / Quantum Efficiency / Full Well Capacity / Noise / Pixel Size
off-the-shelf detector for EnMAP VNIR wavelength is not available
Customized arrays from E2V and Fairchild can provide sufficient SNR performance (1024 x 512, 24 µm pixels, on-chip binning by 2, 8 output channels
227 Hz frame rate)
E2V : known ESA/DLR supplier (+), existing technology (+), lower margin (-)
Fairchild : best performance (+), relative new technology under development (-)
E2V detector chosen as baseline
Remote Sensing Section
SWIR Detector Trade-offFirst choice of state-of-the-art detector materials :
MCT (Mercury Cadmium Telluride, HgCdTe)
Consultations of major manufacturers for scientific imaging : AIM (D) / Sofradir (F) / Rockwell (USA) / XenICs (B)
Simulations :Sofradir detector meets EnMAP requirements with low marginAIM (current GENSIS development) shows best performance
Sofradir : known ESA/DLR supplier (+), existing technology (+), low margin (-)
AIM : best performance (+), Integrated Detector & Cooler Assy (IDCA, +)German supplier, dedicated technology development under DLR-BO funding (GENSIS)
AIM detector chosen as baseline1024 x 256, 24 µm pixels, 8 output channels 227 Hz frame rate
Remote Sensing Section
Sensor Parameters
Requirements
Signal-to-noise ratio (SNR) at 30% reflectance; 30°sun zenith angle; visibility 21 km; target 500 m a.s.l.
VNIR: > 500:1 (at 495 nm)SWIR: > 150:1 (at 2200 nm)
Spectral calibration accuracy 0.5 nm
Spectral stability 0.5 nm
Geometric co-registration ≤ 0.2 x GSD
Data Rate / Mass Memory 860 Mbit/s / 512 Gbit
Weight 170 kg (780 kg incl. bus)
Swath length (at least) 1000 km /orbit; 5000 km /day
Radiometric calibration accuracy < 5 %
Quantification / Radiometric stability 14 bit / < 2.5 %
Spectral smile/keystone effect < 20 % of detector element
Ground sampling distance (GSD) 30 m x 30 m (at nadir; sea l.)
Swath width 30 km
Remote Sensing Section
Orbit Parameters
RequirementsCoverage Global coverage in near nadir mode (≤ 5°);
Polar caps may be excludedRepeat cycle 23 daysPointing capability ± 30o cross-track pointingTarget revisit time 4 days with pointing capability
Pointing knowledge 100 m at sea level
Orbital period ca. 98 minutesOrbit inclination 97.96°
Local crossing time 11.00 hrs ± 15 min
Orbit altitude 643 km
Remote Sensing Section
EnMAP Instrument Architecture
SAR-Lupe Bus design heritage
Remote Sensing Section
Science Program / Fields of Applications
management of agricultural
and forest ecosystems
hazardassessment
parameterextractionand modeling
Co-operative Network
GFZ – DLR
EnMAPurbandevelop-ment
inland waterARES
dry-landdegradation
Remote Sensing Section
ARES – Aircraft SupportScan Principle Whisk-BroomFOV 65°IFOV 2.0 mradOversampling 1.43GSD 2.5 m - 10 m No. of Pixel 813 No. of Bands 151 (121+30)Rad. Resolution 14 bitCo-Registr. (refl.) < 0.05 pixelCo-Registr. (em.) < 0.05 pixelCo-Registr. (refl. - em.) < 0.10 pixel
Wavelengths No. of Spec. Sampl. Band-Width Rad. RequirementsBands Interval (FWHM) [W m-2 sr-1 µm-1]
470 - 890 nm 32 15-13 nm 15-13 nm 0.09 NER890 - 1350 nm 29 18-16 nm 16-14 nm 0.04 NER
1360 - 1800 nm 30 16-14 nm 14-13 nm 0.03 NER2020 - 2420 nm 30 15-13 nm 14-12 nm 0.02 NER
8.1 - 12.1 µm 30 147-131 nm 130-117 nm 0.1-0.3K NE∆T
Remote Sensing Section
Interested Parties
Agriculture/Forestry Biodiversity Ecology Wetlands Climate Change Water Soils/Landdegradation Geology/Mineralogy Arid Zones Cartography Urban Fisheries Meth. Development Cal./Val.
Germany Canada India Spain France Australia USA Netherlands Israel China South Africa Poland Italia New Zealand Sweden Switzerland Hungary Finland DenmarkParticipating Countries
Represented Disciplines
Remote Sensing Section
EnMAP - Project Structure
Scientific PI(GFZ)
Science Team
Space Segment(Industry PI)
Commercial Service Element
(Value Adder)
Mission Operation Segment (MOS)
(RB-MB)
Ground Segment(DLR)
Project Management(DLR Agency)
Instrument Operations Support (IOS)
(IMF-AP)
Payload Ground Segment (PGS)
(DFD-BI)
Processing and Cal/Val (PCV)
(IMF-PB)
Mission Advisory Board
Remote Sensing Section
Final Remarks
The EnMAP mission as presented is
a purely national financed solution starting into phase B in 10/06
fully compliant with the DLR AO
fully compliant with the requirements according to the EnMAPUser Requirements Document (URD) elaborated in phase A
feasible with the allocated financial budget
operated by DLR-GSOC (German Space Operations Center) and DLR-DFD (Deutsches Fernerkundungs-Datenzentrum)
open for international partnerships with respect to data utilization and data downlink and may include the operation of additional international ground stations
Remote Sensing Section
Thanks for you patience
Contact:http://www.gfz-potsdam.de