Copernicus for Raw Materials Workshop Copernicus 40 User Years Forum Listening Industry Workshop, to the Beat 5th September of the Earth 2016, Brussels
About http://copernicus.eu/raw-materials-workshop The objective of this workshop is to propose effective measures to support Copernicus uptake from private intermediate and end users. Specifically, the workshop will focus on the area of raw materials and extractive industries, as well as identifying potential research and development needs. In the raw material sector, several tasks within the mining lifecycle can be supported by means of remote sensing. This workshop will highlight potential Copernicus contributions to the extractive industries domain while focusing on new and emerging needs of the sector. The long term aim is to build an EU-level community of remote sensing users and service developers in the industry of raw materials and extractive industries
About Copernicus for Raw Materials Workshop 1. Earth Observation and Geohazards Expert Group 2. Earth Observation for Raw materials Geological mapping Mineral mapping Mining monitoring 3. Potential research and development needs 4. EGS community building
1. Earth Observation and Geohazards Expert Group Mission and vision 28 GSs Apply Earth Observation technology to improve geoscience delivery on geohazards and raw materials lyfe cycle Deliver harmonized Earth Observation based geo-information improving the operational capacity and economic capabilities of governments, institutions, organizations, businesses and individuals. 4
2. Earth Observation and Geohazards Expert Group Working groups: Geohazards: subsidence and landslide WG Leaded by Gerardo Herrera (IGME), g.herrera@igme.es Earth Observation and Exploration WG Leaded by Veronika Kopackova (CGS), Veronika.Kopackova@seznam.cz 5
3. Earth Observation for Raw Materials EGS applies and develops EO-based methods and tools to improve the interaction between the mineral extractive industry and society for its sustainable development while improving its societal acceptability. 6
Geological mapping Angola Geology map
Mineral mapping Mineral thematic map showing surface geological materials from hyperspectral data Sokolov Lignite Open-Pit Mines, Czech Republic Higher Quartz content Notesco, G. Kopačková V. Rojík, P. Schwartz, G. Livne, I. Ben-Dor, E. (2014): Mineral Classification of Land Surface Using Multispectral LWIR and Hyperspectral SWIR Remote-Sensing Data. A Case Study over the Sokolov Lignite Open-Pit Mines, the Czech Republic. Remote Sensing 6, 8, 7005-7025. ISSN 2072-4292 (on line). DOI 10.3390/rs6087005. 5 Higher Phyllosilicatescontent
Mineral mapping: Acid Mine drainage Mining waste mapping derived from hyperspectral data and field meaurements Case study, S. Domingos Mine Iberian pyrite Belt Quental, L. Sousa, A.J, Marsh, S., Brito, G. Abreu, M.M. (2011) Imaging spectroscopy answers to acid mine drainage detection, Iberian Pyrite Belt, Portugal. Comunicações Geológicas, 98, 61-71. 9
Mineral mapping: quantitative ph evaluation Soil ph map derived from mineral association using hyperspectral imagery 10
Mineral mapping: surface water mineral content Mapping surface water parameters from hyperspectral and HR optical satellite (Worldview 2) Kopačková V. Hladíková, L. (2014): Applying Spectral Unmixing to Determine Surface Water Parameters in a Mining Environment. Remote Sensing 6, 11, 11204-11224. ISSN 2072-4292. DOI 10.3390/rs61111204.
Mineral mapping: Sentinel-2 evaluation Sentinel-2 data preliminar evaluation for mineral mapping partially successful 1st derivative analysis Unclassified Region #1 [Red] 21 points Region #2 [Green] 27 points Region #3 [Blue] 19 points Unclassified tuffs, claystones Region #4 [Yellow] 22 points Region lignite #1 [Red] 21 Region tuffs, points claystones #5 [Cyan] (iron oxides) 22 points Region kaolinite #2 [Green] Region 27 tuffs, points claystones #6 [Magenta] (jarosit) 21 points Region tuffs, claystones #3 [Blue] with19 lignite Region points#7 [Maroon] 28 points Region #4 [Yellow] Copernicus User Forum Industry Workshop, 5th September 2016, Region 22 points Brussels #8 [Sea Green] 10 poin Region #5 [Cyan] 22 points
Unclassified Region #1 [Red] 5 points Mineral mapping: EnMAP simulation Region #2 [Green] 5 points Region Unclassified #3 [Blue] 4 points Simulation Region of #1 #4 EnMap [Red] [Yellow] 5 points data 5 points to test mineral mapping potential of the future hyperspectral satellite - EnMap Region Unclassified #2 #5 [Green] [Cyan] 75 points Unclassified Region #3 #6 #1 [Blue] [Magenta] [Red] 54 points 5 points tuffs enriched #1 [Red] in jarosite 5 points Region #4 #7 #2 [Yellow] [Maroon] [Green] 523 points points kaolinized#2 tuffs [Green] 5 Region #5 #8 #3 [Cyan] [Sea [Blue] Green] 47 points 14 points clays (iron-bearing minerals and #3 [Blue] lignite) 4 points Region #6 #10 #4 [Magenta] [Yellow] [Coral] 514 points 5 points #4 [Yellow] 5 kaolinized #9 #5 tuffs [Purple] [Cyan] with lignite Region #7 [Maroon] 711 points 23 points claystones #5 rich [Cyan] in ferric7 points Region minerals #8 #11 #6 [Sea [Magenta] [Aquamarine] Green] 5 points 145 points Region lignite #6 [Magenta] 5 points Region #10 #12 #7 [Maroon] [Coral] [Orchid] 14 23 8 points Region cypris clays #7 mixed [Maroon] with 23 points Region #13 #8 [Sea [Sienna] Green] 5 14 points lignite #9 [Purple] 11 points Region #8 [Sea Green] 14 points Region kaolinite (fresh) #11 #14 #10 [Aquamarine] [Chartreuse] [Coral] 14 points 20 5 points Region #10 [Coral] 14 points Region weathered #12 #15 #9 claystones [Purple] [Orchid] [Thistle] 118 9 points Region #9 [Purple] 11 points Region #13 #11 [Aquamarine] [Sienna] 5 points 5 points Region #11 [Aquamarine] 5 points Region #14 #12 [Chartreuse] [Orchid] 8 points 20 points
4. Potential reseach and development needs Mineral mapping: developping models for quantitative assessment of physical and chemical surface properties (mines, post-mining areas, remediation's) using Sentinel-2 and EnMap satellite data Building a world-wide mineral/rock/soil reflectance and emissivity libraries
Mining monitoring: InSAR Detection of underground coal mining subsidence in urban areas using Radar Interferometry: USCB (Poland) Przyłucka, M.; Herrera, G.; Graniczny, M.; Colombo, D.; Béjar-Pizarro, M. Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland). Remote Sens. 2015, 7, 5300-5328.
Mining monitoring: tailing dumps instabilities Detection and monitoring of ground instabilities related to mining tailing dumps based on satellite radar interferometry Herrera et al. Mapping ground movements in open pit mining areas using differential SAR interferometry. International Journal of Rock Mechanics and Mining Sciences, 2010, vol. 47, no 7, p. 1114-1125.
Mining monitoring: Sentinel 1 service level Monitoring mining activity every 12-6 days is possible Target: active mines, abandoned mines, mining waste and induced anthropogenic hazards
Mining monitoring: Sentinel 1
Mining monitoring: Sentinel 1 Acumulated displacement April November 2015 of a waste dam
4. Potential reseach and development needs Monitoring mining environments Potential: Sentinel 1 provides, for the first time, a low cost do it yourself opportunity to provide continuous monitoring of mining with InSAR What is needed? Knowledge transfer to end users (public and private) Provide cloud computing access (national level?) Who can/should act? EU level visibility project.- Terrafirma, PanGeo EU directive in antropogenic & mass movement hazards?
EGS community building on Earth Observation for Raw Materials EOEG is contributing to build a community of remote sensing users and service developers in the industry of raw materials and extractive industries, through: GEO-Cradle PanAfGeo collaboration with OAGS (Geological Surveys Africa) LATAM MOU with ASGMI (Geological Surveys Latinamerica) New Geo Community of Activity
GEO-Cradle Coordinating and integrating state-of-the Art Earth Observation Activities in the regions of North Africa, Middle East, and Balkans and Developing Links with GEOSS
Increasing geoscientific Knowledge & Skills for the Raw Materials in African Geological Surveys The course Introduction to remote sensing from EOEG to EGS will focus on: Remote sensing sources fro mapping geology & minerals Measuring ground deformations from radar data The 1 st training will take place in Bishoftu (Ethiopia, 35 km SE from Addis Ababa) in 2017
New Geo Community of Activity (CA) Earth observation for Geohazards, land degradation and Environmental monitoring Proposed and leaded by EOEG To be included in GEO 2017 work programme Exploit current and emerging Earth Observation (EO) technologies that provide regular top- surface compositional information with a high temporal rate and high spatial resolution from: Optical, hyperspectral thermal and radar imageries Target: anthropogenic hazards
Copernicus 40 User Years Forum Listening Industry Workshop, to the Beat 5th September of the Earth 2016, Brussels