Spaceborne hyperspectral imaging: Applications for the mining … · 2019. 7. 25. · Spaceborne...
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Boesche, N. ([email protected]) Mielke, C., Rogass, C., Förster, S., Hollstein, A., Roessner, S., Segl, K., Brosinsky, A., Wulf, H., Bochow, M., Brell, M., Kaufmann, H., Chabrillat, S., Guanter, L. Spaceborne hyperspectral imaging: Applications for the mining industry
Transcript of Spaceborne hyperspectral imaging: Applications for the mining … · 2019. 7. 25. · Spaceborne...
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Boesche, N. ([email protected])
Mielke, C., Rogass, C., Förster, S., Hollstein, A.,
Roessner, S., Segl, K., Brosinsky, A., Wulf, H., Bochow,
M., Brell, M., Kaufmann, H., Chabrillat, S., Guanter, L.
Spaceborne hyperspectral imaging:Applications for the mining industry
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Spaceborne hyperspectral imaging
Spectroscopy study of the interaction between matter and radiated energy
specifically looking at what wavelengths of light are emitted or absorbed by an
object in order to characterize materials.
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Absorption bands of rock formingminerals
Water
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Absorption bands of rock formingminerals
C-O
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Absorption bands of rock formingminerals
Al-OH
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Absoprtion bands of Rare Earth Elements
after Boesche 2015
Peter Kuiper, 2000, Wikipedia public domain
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How can
hyperspectral
earth observation
contribute
to the mining
industry?
What are the
requirements for a
future operational
(Copernicus?)
hyperspectral
system?
Imaging Spectroscopy
after Boesche 2015
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The EnMAP Program
Environmental Mapping and Analysis Program
(GFZ/DLR)
German project, core funding from BMWi
Conceived as an operational mission with scientific
focus
Currently under construction phase
Launch ~2019, 5-year operational phase
Open data policy for scientific users
Guanter et al. (2016)
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Fro
m3
0 to
10
00
km
30 km swath30 m
pixel
FWHM ~10 nm
Data acquisition on demand
Up to 4 days revisit time with tilted observation
Ground segment distributing geometrically-
corrected reflectance data
Co-existence with Sentinel-2 & Landsat-8
Guanter et al., Rem. Sens. (2015)
Key mission characteristics for scientific use of EnMAP
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Hyperspectral detection of rawmaterials
Environment of formation
Main spectrally active minerals Reference
Hy
dro
therm
al d
ep
osit
s
High sulfidation epithermal alunite, pyrophyllite, dickite, kaolinite,
diaspore, zunyite, smectite, illite
van der Meer et al.,
2012 Low sulfidation epithermal sericite, illite, smectite, chlorite, carbonate van der Meer et al.,
2012 Porphyry: Cu, Cu-Au biotite, anhydrite, chlorite, sericite,
pyrophyllite, zeolite, smectite, carbonate, tourmaline, jarosite
van der Meer et al., 2012; Mielke et al., 2016
Volcanogenic massive
sulfide
sericite, chlorite, chloritoid,
carbonates, anhydrite, gypsum, amphibole
van der Meer et al.,
2012
Archean Lode Gold carbonate, talc, tremolite, muscovite, paragonite
van der Meer et al., 2012
Sed
imen
tary
dep
osit
s
Banded iron formation hematite, goethite Singh et al., 2015 Carlin-type Gold deposit illite, dickite, kaolinite van der Meer et al.,
2012 Salt and brine deposit gypsum, bassinite, bloedite, epsomite,
hexahydrite, leonhardite, sanderite, kieserite, bischofite, antarcticite, carnallite, trona, natron thermonatrite, nahcolite, mirabilite
Crowley, 1991; Drake, 1995
Skarn
s
Calcic skarn garnet, clinopyroxene, wollastonite, actinolite
van der Meer et al., 2012
Retrograde skarn calcite, chlorite, hematite, illite
van der Meer et al., 2012
Magnesium skarn fosterite, serpentine-talc, magnetite, calcite
van der Meer et al., 2012
Ign
eo
us
dep
osit
s Carbonatite calcite, dolomite, ankerite, rare earth
elements, chlorite, epidote, hematite Boesche, 2015; Turner, 2015
Pegmatites kaolinite, mica, hematite
Momose et al., 2011
Raw materials:
Cu, Au, Ag, Pb, Zn, Fe, Li, Salt, LREE, HREE, Nb, Ta
Including 6 critical raw materials
for emerging technologies 2016
(Deutsche Rohstoffagentur, 2016)
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Hyperspectral vs multispectralimaging
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Simulation of spaceborne hyperspectral mapping (based on EnMAP characteristics)
Thematic Map: Mine Waste Monitoring
Proxy Mineral Map
Thematic Map: Alteration Zonation Map
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EnMAP BOX and EnGeoMAP
EnMAPBOX
EnSOMAP
• Soil Mapper
EnGEOMAP Base
• Basic Mineral Mapping
EnGEOMAP REE
• Rare Earth Element Mapping
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Proxy mineral mapping
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Contribution of HSI to more effectivedecision-making
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Spaceborne hyperspectral imaging:Applications for the mining industry
German – European - Global Partners
Nina Boesche ([email protected])
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Requirements for a future operational hyperspectral system
• Global coverage
• Data availability of new exploration areas
• Multitemporal coverage of sites -> scene overlap increases the image signal-to-
noise
• Higher spatial sampling distance
• Delineation of lineaments and small geological features
• Direct detection of hostrocks
• Higher resolution of classifications of inhomogeneous orebodies
• Higher spectral sampling distance
• Increased separability of alteration indicative minerals
• Separation between alteration and weathering
