Massimo Claudio Comparini e-geos Chief Executive Officer. V Forum ASNACODI, Roma 2-3 Novembre Company Internal

Transcription

1 Earth Observation evolutions in support of current and future challenges in the agriculture domain From images to information, from pixel to analytics. Massimo Claudio Comparini e-geos Chief Executive Officer V Forum ASNACODI, Roma 2-3 Novembre 2017

2 Content e-geos Company e-geos in Agriculture our experience Agro-insurance domain: potentialities of Remote Sensing Use Case: Damage Assessment in Texas Innovation activities PREMIA project GeoTagged ground survey EarthLab Luxemburg Conclusions

3 e-geos 2017 all right reserved e-geos 67% 33% Contracts People Assets COSMO-SkyMed exclusive world wide rights 80% 20%

4 many satellites in orbit today. and the number is growing fast. New missions will generate huge amount of real stream of data

5 e-geos 2017 all right reserved MARKET TRENDS GEO Big Data + IA + Analytics are changing the game in the data consumption Established Operators New High end Sensors New Space constellations Big Players are envisaging a role to the Geo-Information in their business model, so they are investing their big money. New market (big data, data analytics apps) drive increase in revenues for sat operators

6 EARTH OBSERVATION BUSINESS MODEL IS CHANGING We are moving towards a service model where data are just part of the game Direct Tasking Programs Pricing Pressure On Archive Data EO Big Data & Analytics Convergence in the data analytics business for the Earth Observation industry Data derived info driven market Data pricing no longer entry barrier Biggest Trends in Satellite Earth Observation

7 e-geos 2017 all right reserved COSMO-SkyMed THE ITALIAN RADAR CONSTELLATION 4 radar satellites for Earth Observation Very High Resolution Best in class for revisit time Day and Night Any weather conditions e-geos is the exclusive commercial world wide distributor of COSMO-SKyMed DATA OPERATOR DATA ACCESS HUB CONTENT DEVELOPER SRVICES AND PLATFORMS PROVIDER

8 e-geos 2017 all right reserved EARTH OBSERVATION DATA ASI - COSMO-SkyMed ESA - Sentinels USGS - Landsat-8 e-geos acquires, processes and distributes multi mission satellite data, aerial data and geographical Big data from the Matera Space Centre. DATA OPERATOR DATA ACCESS HUB CONTENT DEVELOPER SERVICES AND PLATFORMS PROVIDER

9 e-geos 2017 all right reserved FROM WORKFLOW TO VERTICAL PLATFORMS 1 2 DATA OPERATOR DATA ACCESS HUB CONTENT DEVELOPER SERVICES AND PLATFORMS PROVIDER DELIVERY GEOSPATIAL DATA 3 4 SATELLITE PRODUCTION UNIT GEO INFORMATION LAYERS AS A SERVICE AERIAL / UAV SURVEY 5 6 SPECIALISED LAYERS VERTICAL PLATFORMS ON PREMISES NAVIGATION SPECIALISED DATABASES GEO-SPATIAL ANALYSIS 7 1) Land management and Infrastructures 2) Agriculture and Food production 3) Defense & Intelligence 4) Risk & Asset management 5) Maritime Surveillance 6) Forestry & Climate Change 7) Oil & Gas IN SITU SENSORS

10 e-geos 2017 all right reserved Agriculture has been the first domain in which space technologies, in particular Earth Observation, has been showing its full impact on society and economic activities. For supporting Governments and farmers in the management of the agricultural and food activities, as well as the crop lifecycle AgriGeo In this sector E-GEOS is focused on a suite of solutions for: Precision farming analysis Crop monitoring reports Agro-Environment Geo-Information Products Common European Agriculture Policy Commodiities Insurance DATA OPERATOR DATA ACCESS HUB CONTENT DEVELOPER SERVICES AND PLATFORMS PROVIDER

11 e-geos for Agriculture: a long history of application and geospatial Information services Satellite and aerial data acquisition and processing since 1992 Management of LPIS - Land Parcel Identification System platform; specific agro-environment solutions and services for data analysis Mapping and monitoring agriculture with production of statistics and reports AGRIT statistical project for Mipaaf since 1987 Precision Farming Telespazio France in Bordeaux region: Aquitaine e-geos 2017 all right reserved More of 25 years of experience supporting farmer subsidy management and control for AGEA

12 LAND USE FOR AGRICULTURE PURPOSE Management of LPIS - Land Parcel Identification System platform

13 LAND USE FOR AGRICULTURE PURPOSE..75% of Earth population has not access to land parcel identification systems....the absence of a Land Parcel Identification System- LPIS does not allow to apply proper agricultural policies..earth Observation is a powerful instrument for setting up agricultural cadastre and planning.. Vanessa Lawrence Co-Chair, United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM) Reference geographic basis for allowing monitoring and action planning over agriculture area

14 AGRICULTURE CADASTRE Optical & Radar Earth Observation Satellite System for Turkmenistan

15 AGRICULTURE CADASTRE Optical & Radar Earth Observation Satellite System for Turkmenistan

16 CROP PLANNING AND MONITORING Optical & Radar Earth Observation Satellite System for Turkmenistan

17 CROP PLANNING AND MONITORING Optical & Radar Earth Observation Satellite System for Turkmenistan

18 CROP PLANNING AND MONITORING PARCELS SELECTION Optical & Radar Earth Observation Satellite System for Turkmenistan

19 CROP PLANNING AND MONITORING PARCELS SELECTION Optical & Radar Earth Observation Satellite System for Turkmenistan

20 CROP PLANNING AND MONITORING PARCELS USAGE PLANNING Optical & Radar Earth Observation Satellite System for Turkmenistan

21 CROP PLANNING AND MONITORING PARCELS USAGE CHECK Optical & Radar Earth Observation Satellite System for Turkmenistan

22 CROP PLANNING AND MONITORING VINEYARDS PARCELS USAGE CHECK Optical & Radar Earth Observation Satellite System for Turkmenistan

23 CROP PLANNING AND MONITORING WHEAT PARCELS USAGE CHECK Optical & Radar Earth Observation Satellite System for Turkmenistan

24 CROP PLANNING AND MONITORING VEGETABLES (SEVERAL TYPES) PARCELS USAGE CHECK Optical & Radar Earth Observation Satellite System for Turkmenistan

25 CROP PLANNING AND MONITORING ARABLE NOT SPECIFIED PARCELS USAGE CHECK Optical & Radar Earth Observation Satellite System for Turkmenistan

26 Current potentiality of Remote Sensing: Agro-insurance domain

27 Agro-insurance: fundamental tool for risk management More frequent extreme weather events around the globe hail heavy precipitation and flooding heat drought late frost in temperate regions more pests diseases and yield variability food accessibility risks!!

28 Why Remote Sensing for agro-insurance? Independent and extensive geo-information on historical and current crop behavior everywhere overcoming the usual administrative delimitations Nowadays: increased availability of Free, Frequent and Open data through Copernicus constellation...

29 Crop analysis: Copernicus Sentinel constellation is driving a new powerful approach, from Spatial detection to Multi-Temporal analysis WINTER AUTUMN SPRING SUMMER Sentinel-2 optical data, 10 m res, 300 km swath, 12 bands, 5 days of cycle

30 Crop analysis (optical data) Crop classification Characterization of single crop parcel through multispectral image time series, allowing discrimination among target classes and extractions of ad hoc indicators (index insurance) Each detected parcel can be classified and represented on a map Automatic Classification

31 Crop analysis on satellite radar- SAR data Processing based on time series analysis of radar images Amplitude and Coherence time series for phenological phase identification and crop/pastures classification by interferometric acquisitions.

32 Use case: Damage Assessment

33 Harvey in US Test area Big data analysis High Information Products HARVEY FLOODED AREA Value Added Services Flooded area extraction SOURCES Data Low Level of Value Addition

34 Harvey in US Analytics from Cotton map Big data analysis Information Products Value Added Services High Crop Mapping: Classification of Cotton parcels COUNTRY AREA (ha) COTTON 2017 (ha) COTTON 2016 (ha) Louise Ganado Edna-Cordele Garwood Eagle Lake East Bernard Wallis Orchard- Kendleton Wharton Boling-Newgulf El Campo TOTAL Data Low Level of Value Addition

35 Harvey in US Cotton growth stage 2017 COTTON GROWTH STAGE High Ready for harvest end of July Big data analysis Information Products Value Added Services Crop Status Identification of Phenological phases Ready for harvest end of August Ready for harvest end of September Ready for harvest in October Data Low Level of Value Addition

36 Harvey in US Flooded cotton Big data analysis High Analytics Information Products Value Added Services Data Low Level of Value Addition

37 e-geos Innovative Activities

38 PREMIA: Platform for Risk Evaluation and Management In Agriculture The main goal of PREMIA is the provision of new contents and innovative information to optimize insurance activities and support innovative products (Index Insurance). PREMIA services will be accessible through an advanced Web Based Service Platform based on big data advanced techniques. The project is co funded by ESA in the ARTES IAP Initiative. Budget: 2,6 Millions (~50% co-funded by ESA) Start date: September 2017 Project Duration: 24 months Consortium: 9 partners from 4 countries (3+2 Users)

39 PREMIA inputs PREMIA outputs Satellite Data Optical and SAR (Spatial res. 10m every 5 days) Meterological Data (Spatial res. 10m every 5 days) Historical Analysis Crop Zooning PREMIA Risk Support Services Advanced Yield modelling for crop Crop Monitoring In situ data of past critical events and losses (where available) Big Data Platforms and Capability Extreme weather Map Extreme Impact Evaluation PREMIA Damage Support Service

40 PREMIA Main Benefits Support in Premium Rates definition and improving insurance assets information Reducing information asymmetry between farmers and insurances Support to damage assessment/loss estimation and portfolio management Introduce an objective instrument to support geographic approach to risk evaluation and loss verifications (no more administrative limits) Reduction of adverse selection, moral hazard, frauds & basis risk Contribute to promote new insurance products (i.e. indirect insurance products), also in areas never covered by insurance (i.e. South Italy)

41 e-geos 2017 all right reserved SEN4CAP An example of tuning new statistics from big data analysis ESA

42 SEN4CAP Main Benefits The SEN4CAP project aims at providing to the European and national stakeholders of the European Common Agricultural Policy (CAP) validated algorithms, products and best practices for agriculture monitoring Special attention shall be given to provide evidence how Sentinel-1 and 2 derived information can support the modernization and simplification of the CAP in the post 2020 timeframe. The project is done in close collaboration with DG-Agri, DG-JRC, DG-Grow and a selected number of national Paying Agencies Demon and use cases will be conducted in the context of the Paying Agency operations up to national scale addressing a range of monitoring aspects in the IACS cycle including the greening measures of the CAP.

43 SEN4CAP: An example of tuning new statistics from big data analysis Technological improvements, linked to the new Sentinels and related-products data availability can push for a new control and management system Grassland mowing monitoring service BACKGROUND Starting point: experience from Copernicus High Resolution Layer Grassland project, funded by EEA to identify and characterize grassland areas in Europe based on temporal series of S-2 optical and S-1 SAR data

44 Field scale innovation - Geotagged Ground photos GPS Plug-in Through a simple android mobile phone, surveyors and/or farmers are going to be able to directly provide Public Administration or Insurance with precise, fast and certified ground truth data. In particular they will be able to : Select and download imagery and parcels limits of a group of farms Create a path to reach immediately the parcels (GPS tracking in different modes) Take GNSS pictures, no at short distance, always within the single parcel borders (3D augmented reality) Trip Mode Picture Mode Parcel limits move joint to 3D visualization, obliging to take pictures ALWAYS within the parcel Connect and deal later, with other unique sequential codes (when Internet starts to work again) System accepts only pictures compliant with the above rules for: RFV, diversification, durum wheat detection, EFA, Permanent crops variation, etc (open SW, no licenses) 44

45 EarthLab en Aquitaine : les partenaires Institutionnel Métier Scientifique

46 e-geos 2017 all right reserved

47 The Max-ICS platform created and operated by EarthLab Luxembourg offers the concept of Deep Learning Factory. to easily create and manage a Deep Learning pipeline. The Deep Learning Factory is making nearly automatic the complete process from the creation of the model up to the extrapolation of the future values. Understand from the past to efficiently act and predict the future Damage Analysis Wind Vulnerability Operational risks Real Time Analysis Price prediction Business interruption

48 Conclusions New satellite constellations are driving a new powerful approach supported by Earth Observation and Geo Information redesigning traditional schema of risk management, impact analysis and good farming practices Big Data Analytics and Cloud technology provide wide opportunities to further increase space based application potentialities. Expected impacts are : Overcome the concept of limited controls over space and time, allow a global persistent monitoring and reducing fraud and illegal intentions in the agro-environment domain Promote a common and transparent information exchange, among Public Administrations, farmers and Insurances, overcoming the traditional administrative boundaries and reducing information asymmetry

49 All COSMO-SkyMed images ASI - Agenzia Spaziale Italiana e-geos S.p.A L.O. Contrada Terlecchie snc Matera / HQ Via Tiburtina, 965 Roma