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© 2014 SAP SE or an SAP affiliate company. All rights reserved. 1 Public Earth Observation Analysis SAP HANA Cloud Service

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© 2014 SAP SE or an SAP affiliate company. All rights reserved. 1 Public

Earth Observation Analysis SAP HANA Cloud Service

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 2 Public

Disclaimer

This presentation outlines our general product direction and should not be relied on in making a

purchase decision. This presentation is not subject to your license agreement or any other agreement

with SAP. SAP has no obligation to pursue any course of business outlined in this presentation or to

develop or release any functionality mentioned in this presentation. This presentation and SAP's

strategy and possible future developments are subject to change and may be changed by SAP at any

time for any reason without notice. This document is provided without a warranty of any kind, either

express or implied, including but not limited to, the implied warranties of merchantability, fitness for a

particular purpose, or non-infringement. SAP assumes no responsibility for errors or omissions in this

document, except if such damages were caused by SAP intentionally or grossly negligent.

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 3 Public

Geospatial Technologies

• Rapid development of geospatial technologies in recent years

• Enables new ways of collection and analysis of geo- and business data

• Sensors

• Remote Sensing (RS)

• Unmanned Aerial Vehicle (UAV)

• Global Positioning System (GPS)

• Geo Enrichment

• Geographic Information System (GIS)

• Information technologies (database)

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 4 Public

Spatial Data Vector, Point Cloud, Raster Data

Point Linestring Polygon

CircularString MultiPoint MultiLinestring

MultiPolygon GeometryCollection X

Y

Z

14 35 25

17 39 59

16 15 17

Complex types Raster Data

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 5 Public

Demand for Spatial and EO data SAP Industries

Aerospace and Defense Automotive Banking Chemicals

Consumer Products Defense and Security

Engineering, Construction, and Operations

Healthcare

High Tech Higher Education and Research

Industrial Machinery and Components

Insurance

Life Science

Media

Mill products Mining

Oil and Gas

Professional Services

Public Sector

Retail

Sports and Entertainment

Telecommunications

Travel and transportation

Utilities

Wholesale Distribution

6 © 2015 SAP SE or an SAP affiliate company. All rights reserved.

Key Challenge with EO Data

Big data leads to IT complexity

Understanding EO data

Extracting valuable information

Expert knowledge required

Image processing and performance

Harmonize, correct and correlate information

© 2015 SAP SE or an SAP affiliate company. All rights reserved. 6 Public

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 7 Public

Earth Observation

Analysis

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 8 Public

HANA EOA Service Earth Observation Analysis

Multi-spectral Images (L1 Data)

EOA Service

(high level data)

ESA

Goal

• Closing gap between EO and business community

Information Extraction

• Producing high level information

• High performance processing with in-memory

technology

• Focus on spatial, image processing and machine

learning

Cloud Service

• Continuous updates, global coverage and access to

historical data

• Standard interface (SLA)

• Reduce complexity of traditional IT approaches

• Minimize expense for customers

• Allow fast response to emerging trends

• Improves reach to end users

Customer

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 9 Public

Information Extraction Advanced Cluster Analytics

Land cover and land usage classification

NDVI

2016/04/12

NDVI

2016/06/21

Change detection

Deeper Learning ( e.g. wildfire prediction)

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 10 Public

Landslide Prediction By using Deeper Learning

Landslide prediction system based on

• Surface information (vegetation, soil

• Elevation model (height, steepness)

• Supervised deep learning system (CNN)

Application

• SAP HANA advanced analytics (spatial & graph)

• Combination of EO-, open- and weather-data

• SAP Cloud Platform service

Saving lives and optimized rescue management

• Risk forecast for the next ten days

• Detailed emergency report available

• Improved decision making (emergency call)

• Optimized rescue management

• Reduce risk for humanitarian disaster

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 11 Public

EOA ML Architecture From learning to classification on demand

Supervised Learning (SAP internal)

• Training based on raw ESA Imagery or Partner (land-copernicus)

• Ground truth from multiple data sources

• Supervised training inside SAP Datacenter (internal)

• Persistence and delivery of high accurarcy models

• Training can take some time

• SAP maintains and re-trains existing models

Release ML-Model (public available)

• Classifier can be applied on coverages on demand

• Coverage can be mosaic

• Processing on GPU farm, GPU, or CPU (depends on cloud/datacenter)

• Results in seconds available

Supervised learning

release updates

EOA

customers

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 12 Public

Business Model EO data for enterprise companies

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 13 Public

HANA EO Service Refine Earth Observation Data Processing

Raw imagery (L1)

Targeting EO specialist, researchers, and developers

Spectral Indices (L2)

NDVI, NDWI, NDSI, NBR, VARI, LAI, FAPAR, DMP, BA, …

Business

Relevance

Raw Imagery

General EO

Higher Value

Industry Index

Land cover / usage classification and change detection (L3)

Change-, alert- and forecasting systems with classification

Industry index (L4)

Insurance value-, agriculture-, smart city-, climate-index

Customer Index

Customer index (L5)

Specific customer value index

Adaptability

high

low high low

Value

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 14 Public

HANA Cloud Platform

(Micro-) Services

IoT Platform

IoT

Suite

Applications

S/4HANA

Platform

HANA Platform

VORA

any DB Hadoop

Digital Boardroom Icon

BI Suite, EPM, Predictive

Business Warehouse

BusinessObjects Cloud

Applications

Extensions

Analytical

Applications

SAP Digital Enterprise Platform The big picture

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 15 Public

Earth Observation Analysis service Available on SAP Hybris Marketplace and SAP API Business Hub

Simple registration

• No contract (flexibility)

• On demand

Usage based cost model

• Limited free access

• Reducing TCO

• Increasing ROI

Smart & Efficient

• Hidden complexity

• Standard interface

• No infrastructure cost

• No dev ops

• Security & SLA

Marketplace

SAP Hybris Marketplace

SAP API Business Hub

Documentation

EOA Documentation

Open SAP Course

SAP HANA Spatial

Blogs

EOA microservice on YaaS

Port of Antwerp from Space

Using EOA service in HCP

SQL Anywhere and EOA Subscribe Now! Feedback: [email protected]

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 16 Public

EO Roadmap Earth Observation Analysis

This is the current state of planning and may be changed by SAP at any time.

DONE - 2016

Beta release (operating 24/7)

SAP Hybris marketplace

Surface Index (NDVI, NBR)

Showcase: wildfire risk prediction

(MunichRe)

EO-WCS implementation

DONE - 2017Q1

Productive operating

SAP API Business Hub integration

Improved data access (layered)

JSON output

Quality Filter

Showcase: lanslide riks prediction

(CeBIT)

ESA Space App Camp

2017

Additional surface indices (NBR, NDWI, …)

Deliver change detection

Deliver wildfire/landslide risk prediction

models

Prototype: anomaly detection and alert

systems

ML delivery and training infrastructure

Mosaiicing

Land cover/usage classification

Labeling ground truth

Research

PoC

Customer co-innovations

Next

SAP Business Integration

Spatial Platform

Open data

Sentinel 1, 3, …

Combination with business data

Custom ML models

Custom algorithm

Spatial & graph services

Additional delivery channels and

busines models

Custom user algorithm

….

© 2014 SAP SE or an SAP affiliate company. All rights reserved. 18 Public

SAP HANA - The Platform Powers the Digital Transformation

SAP HANA PLATFORM ON-PREMISE | CLOUD | HYBRID

Web Server JavaScript

Fiori UX Graphic

Modeler

Data Virtualization ELT &

Replication

Application Services Integration & Quality Services

Columnar

OLTP+OLAP

Multi-Core &

Parallelization

Advanced

Compression

Multi-

tenancy

Multi-Tier

Storage

Spatial Graph Predictive Search

Text

Analytics

Data

Quality

Series

Data

Business

Functions

ALM

Processing Services

Database Services

Hadoop & Spark

Integration

Application Lifecycle

Management

High Availability &

Disaster Recovery

Openness Data

Modeling

Remote Data

Sync

Admin &

Security

Data

Enrichment