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| © cosine 2019 – M. Esposito, Space for Sustainable Development
Marco EspositoHead of remote sensing unit
19 June 2019, RAI, Amsterdam
cosine | Space for SustainableDevelopment
Artificial Intelligence for Social Good
| © cosine 2019 – M. Esposito, Space for Sustainable Development
HIGH ENERGY OPTICS
REMOTE SENSINGSYSTEMS
INSPECTION SYSTEMS
high energy optics
astronomy | material analysis | health
inspection systems
medical | oil/gas | food/pharma
remote sensing systems
agriculture | disasters | environment
| © cosine 2019 - not for further distribution
two decades of heritage from the largest ESA missions to fast-track new space
Earth observation | space science | manned space flight | planetary science | navigation missions
credits ESA, NASA
| © cosine 2019 – M. Esposito, Space for Sustainable Development
Open science
How science is organized
Digital Economy
New ways of conducting business
Society response
Sustainable dev
Climate change
Water scarcity
Food security
Tech push Earth Observation
EARTH OBSERVATION | DRIVERS
Advancement in terrestrial technology
Democratization of space
| © cosine 2019 – M. Esposito, Space for Sustainable Development
Rise of Artificial
Intelligence
Reduction of cost
Advances in manufacturi
ng
Shift from data to
analytics
Advances of sensing
technology
Better space
comm
Less fear to try
EARTH OBSERVATION | TRENDS
| © cosine 2019 – M. Esposito, Space for Sustainable Development
EARTH OBSERVATION | SUSTAINABLE DEVELOPMENT
| © cosine 2019 – M. Esposito, Space for Sustainable Development
EARTH OBSERVATION | DEVELOPMENT GOAL 1
| © cosine 2019 – M. Esposito, Space for Sustainable Development
EO | COPERNICUS & NEWSPACE - GETTING PETABYTES TO PEOPLE
| © cosine 2019 – M. Esposito, Space for Sustainable Development
▪ Petabytes of data leveraged with AI on ground
▪ Date Fusion, Data Mining
▪ Machine Learning, Deep Learning
▪ Big Data Management
▪ Increase accuracy in identifying tropical cyclones, weather fronts and atmospheric rivers
▪ AI for Earth
EARTH OBSERVATION | DATA SCIENCE, EO AND BIG DATA
| © cosine 2019 – M. Esposito, Space for Sustainable Development
▪ Early warning
▪ Shorter timeliness
▪ Less data downloaded
▪ Less data processed ongroud
▪ Delivery of information
▪ Realtime disaster response
▪ Small sats in large numbers increase coverage and revisit factors
EARTH OBSERVATION | WHY NOT AI ON-BOARD?
| © cosine 2019 - not for further distribution
▪ HyperScout is the first ever 1.3 kg full-fledged hyperspectral camera in orbit since February 2018
• Full performance at a fraction of weight
▪ large field of view
• high revisits with a few units deployed
▪ full processing chain
• application parameter retrieved in orbit
• Analysis Ready Data (ARD) processed onboard were calculated for the first time ever in Nov 2018
▪ commercially available
• business based on operational hyperspectral remote sensing from nanosatellites now possible
HYPERSCOUT |
| © cosine 2019 - not for further distribution
▪ HyperScout-2 is the first ever 1.7 kg full-fledged hyperspectral + TIR multispectral imager in orbit September 2019
▪ larger field of view
• Up to 310 km
▪ increasing platform compatibility
▪ bringing hardware Artificial Intelligence Accelerator in flight
• new applications on AI chip
HYPERSCOUT-2 |
| © cosine 2019 – M. Esposito, Space for Sustainable Development
HYPERSCOUT | OPERATIONS
Datacube generated in orbitCredits cosine/S&T/VITO
| © cosine 2019 – M. Esposito, Space for Sustainable Development
| flooding delineation | change detection
| evapotraspiration| volcano and fire monitoring | fire hazard
Lampin-Maillet (2009)
| water quality
| urban heat island | oil spill
HYPERSCOUT | APPLICATIONS
| © cosine 2019 – M. Esposito, Space for Sustainable Development
▪ Multiple applications
• Mozambique (fire hazard, floods)
• Tanzania (fire hazard, floods)
• Uganda, Kenya (fire hazard, change detection)
• Sudan (droughts)
• Egypt (floods, droughts, crops, change detection)
• Greece (fire hazard, change detection)
• Balkan regions (floods, crops)
HYPERSCOUT | ONE ORBIT MULTIPLE APPLICATIONS
| © cosine 2019 – M. Esposito, Space for Sustainable Development
• HyperScout 1 and Analysis Ready Data (ARD) produced onboard
• The hypercube is produced in-orbit. Orthorectified, georeferenced and radiometrically corrected spectral band images.
• With this information available, it is possible to analyze the spectra on board
TECHNOLOGY | ONBOARD PROCESSING
| © cosine 2019 – M. Esposito, Space for Sustainable Development
TECHNOLOGY | ONBOARD AI
| © cosine 2019 – M. Esposito, Space for Sustainable Development
• Use onboard AI accelerators to boost analytics onboard
• Many applications, including early warning, can be conducted directly onboard, capable of coping with limitations coming from the space environment.
• cosine is priming the development for ESA of a first AI application for cloud screening that to be tested directly in orbit. The First experiments will be carried out in the fall 2019 onboard HyperScout-2
TECHNOLOGY | ONBOARD AI
| © cosine 2019 – M. Esposito, Space for Sustainable Development
• HyperScout - Sentinel 2A/B cross calibration with machine learning
• activity started under ESA contract
• A framework to cross-calibrate small satellite constellations against the data institutional reference satellites
• HyperScout - Sentinel 2A/B data product fusion
• Best from Sentinel 2 calibration and spatial resolution
• Best from HyperScout spectral resolution and revisit time
HYPERSCOUT | MATCH
| © cosine 2019 – M. Esposito, Space for Sustainable Development
COLLAGE
Marco [email protected]
cosine measurement systemscosine.nl
www.hyperscout.nl
Tel. +31 71 528 49 62Fax. +31 71 528 49 [email protected]@[email protected]
cosineOosteinde 362361 HE WarmondThe Netherlands
