Data Science in Earth Observation for Social Good - Xiaoxiang Zhu - LRZ
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The Golden Era of Big Earth Observation Data Relevant EO Missions (DLR and European) TerraSAR-X DLR TanDEM-X HRWS Tandem-L FireBird DESIS EnMAP MERLIN Aeolus EC + ESA Earth Care BIOMASS Sentinel-1 a/b/c/d Sentinel-2 a/b/c/d Sentinel-3 a/b/c/d Sentinel-5 Precursor EUMETSAT Sentinel-4 a/b on MTG-S Sentinel-5 a/b/c on EPS-SG MetOp-A MetOp-B MetOp-C 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024 2025 2026 2027 2028 2029 2030
Data Cubes – Decadal Time Series for Climate Research Evolution of Arctic Sea Ice Courtesy: C. Künzer, DFD
Why Do We Need Data Science and AI4EO? • data • research • services • applications user domain information retrieval observation systems Image source: 1 , DELL
Model-Based Analytics explorative signal processing methods Data-driven Analytics machine/deep learning methods
11 So2Sat: Big Data for 4D Global Urban Mapping – 1016 Bytes from Social Media to EO Satellites GUF: GUF: 2D binary map map urban urbanvs. vs.non-urban non-urban So2Sat: 3D/4D urban models infrastructure type classification high resolution population density map
Methodology in a Nutshell – Big EO Data Fusion Hyperspectral Sensor Radar Sensor Red Tile Roof Xiaoxiang Zhu Social Media Images @xiaoxiang_dlr Text Messages I’m in the rooftop bar on 10th floor. Last day in Rio de Janeiro! @Helmholtz @DLR_de
10 Petabytes = half of the German Remote Sensing Data Archive
Global 3D/4D Urban Mapping TerraSAR-X / TanDEM-X
Radar Geometry in Range-Elevation Plane s r
Radar Tomography – “X-Ray” of the Earth s r
Why HPC? TUM IGSSE Project @ LRZ – 4D City (SuperMUC) Calculation for every single pixel = solving optimization problem with a matrix dimension of ca. 102× 106 since 2012, 26mio CPU hours granted
ca. 1 million Pts/km2, 4D Information
+14 [mm] -14 Courtesy: S. Gernhardt, TUM
TanDEM-X for Global Coverage, But… medium resolution , small number of images TanDEM-X has global coverage, but … only moderate resolution number of coverages limited
Signal Processing Algorithms X-Ray of the Earth Building heights Deep Learning Algorithms Building shapes
First Impression of the Global 3D Urban Models
Building Settlement Type Classification – by the Fusion of Remote Sensing and Social Media Data Social Media Images
Building Instance Classification from Street View Data by CNN apartment church garage house industrial office building retail Chicago Vancouver Munich roof
My Vision in 2022 A first and unique global and consistent 3D/4D spatial data set on the urban morphology
3D model vs. time Mumbai Dharavi population density vs. time City boundary Urban Footprint Courtesy: H. Taubenböck, DFD
The So2Sat Data will be Open – better understanding and boosting research on the global change process of urbanization – unique data set for stakeholders such as the United Nations – a helping hand to address poverty ERC Project @ LRZ – So2Sat (SuperMUC -NG) Demand: > 100 mio CPU hours; >10 PB Storage
Data Volume (PB) in the German Satellite Data Archive D-SDA DFD Oberpfaffenhofen and Neustrelitz Today
FutureEO@ExtraMUC Long Term Use Cases: Archives User – Sophisticated but expensive signal processing Interface and AI algorithms – Generation of regional to global scientific data HDD/SSD Input CPU&GPU – Time-critical processing and analysis Data Processes – External access to data and products > 150 PetaByte Output > 1.000.000 Cores Requirements: Data – Hybrid system powered with both CPUs and GPUs ExtraMUC Interfaces/Portals – Large on-line memory > 100Gb/sec; DFN Kernnetzrouter – Sufficient processor cores – High-rate connection to DLR via DFN/GEANT Hubs/ User/Partner Portals
FutureEO@ExtraMUC – Go Far Beyond Global Urban Mapping We research and develop solutions for major challenges in the following areas … Earth System Research and Global Change Research Meteorology Sustainable Development Environmental Sciences Security Mobility Resource Management City Planning
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