Conference Agenda

The conference agenda provides an overview and details of sessions. In order to view sessions on a specific day or for a certain room, please select an appropriate date or room link. You may also select a session to explore available abstracts and download papers and presentations.

 
Session Overview
Session
09-03: Innovation Fair: Analyzing Land Data & Data Processing
Time:
Thursday, 23/Mar/2017:
8:30am - 10:00am

Session Chair: Christoph Aubrecht, European Space Agency (ESA) & The World Bank, United States of America
Location: MC 2-800

Streaming.


Presentations
ID: 967 / 09-03: 3
Innovation Fair - Lightning Talk (geospatial, cloud, data technologies)

Better demographic data for improved planning and problem solving in South African cities

Sophie McManus1, Peter Magni2, Geci Karuri Sebina3, Matthew Adendorff4, Richard Gevers5

1Open Data Durban, South Africa; 2South African Cities Network; 3South African Cities Network; 4Open Data Durban, South Africa; 5Open Data Durban, South Africa

With unprecedented population growth predictions in cities, urban functions as we know them will be challenged and pushed beyond their current threshold (UN SDGs, 2015). This reality is driving the global urban narrative with concepts such as “sustainability”,“responsiveness” “resilience” and “inclusiveness”. Now more than ever, the use of evidence-based planning by local government and other urban role-planners is at a critical point in been able to shape future cities.

The proposed Lightning Talk presents an innovative tool developed by South African Cities Network by Open Data Durban to provide an evidence based approach to predict demographic trends at the ward level (the smallest South African administrative unit) of South African cities, and overcome limitations in current demographic data. In conjunction with demographic projections an open data planning tool and portal (SCODA) will be used to store the projections, and allow for government and a range of community stakeholders to store and combine other data sets for intensive analysis and modeling. SCODA is a user-designed tool, co-created with and for government and civil society, underpinned by the overarching theme of impacting on spatial transformation.

Biography
Peter Magni is a researcher at the South African City Network. His researched is focused on urban land, spatial planning and land use management and public infrastructure. He has over ten years’ experience in local and national government.

Sophie’s academic background include a BSc in Sociology and African Studies, and MSc in Town and Regional Planning with a focus inclusive housing and urban regeneration initiatives in inner-city Johannesburg. Sophie first came to Durban on a Rotary International Scholarship and has since been working in Durban on issues around low-income housing, enterprise development and inclusiveness.
09-03-McManus-967_paper.pdf
09-03-McManus-967_ppt.pptx


ID: 971 / 09-03: 4
Innovation Fair - Lightning Talk (geospatial, cloud, data technologies)

OpenLandContracts.org: A Tool for Facilitating Land Contract Disclosure

Jesse Coleman, Kaitlin Cordes, Sam Szoke-Burke

Columbia Center on Sustainable Investment, United States of America

A critical lack of transparency permeates the contracting processes that govern large-scale land investments. Despite widespread consensus that greater transparency of contractual terms constitutes best practice, few governments or investors have been willing or able to proactively disclose their land contracts. In the rare contexts in which contracts are disclosed, they are often difficult to find or comprehend. As the world’s first global repository of land contracts, OpenLandContracts.org helps address these challenges, offering a solution that combines technology with substantive technical expertise to make investor-state land contracts easier to disclose, access, and understand. Crucially, the platform also provides governments with the opportunity to develop country-specific repositories for contract disclosure, thereby providing an innovative and cost-effective solution for host governments and policy-makers seeking to improve their transparency and good governance efforts.

This Lightning Talk will include an interactive demonstration of the key features of OpenLandContracts.org, including its tools to help users search, compare, and understand documents, as well as its links to relevant data standards and complementary initiatives. The Talk will provide further information regarding the opportunity to develop country-specific repositories in partnership with the OpenLandContracts.org team, and will highlight examples of how information disclosed through OpenLandContracts.org has been used by a range of stakeholders.

Biography
Sam Szoke-Burke is a Legal Researcher at the Columbia Center on Sustainable Investment, where he focuses on investments in land and agriculture, as well as investments in the extractive industries. Sam also specializes in the intersection of human rights and international investments. Sam holds an LL.B. (Law) and B.A. in Politics from Monash University Australia, and an LL.M. from New York University School of Law.
09-03-Coleman-971_paper.pdf
09-03-Coleman-971_ppt.pptx


ID: 144 / 09-03: 5
Innovation Fair - Lightning Talk (geospatial, cloud, data technologies)

Big Data Approaches to Market Analysis: SE Asian Palm Oil

Gabriel Thoumi. CFA. FRM

Climate Advisers, United States of America

Palm oil is an inexpensive and highly versatile oil derived from the fruit of the oil palm tree, a native of West Africa's tropical forests. It is found in half of all consumer goods on the shelves today in Western grocery stores. Palm kernel oil is also used as a bioeful to power vehicles, heat homes, and manufacture plastics. Due to its high yields and many uses, palm oil is the most actively traded edible oil in the world, with annual sales of $50 billion. For decades, however, the palm oil business has been criticized for its links to corruption, extinction, social injustice, and deforestation.

This presentation will show how big data tools can be applied to investigate the SE Asian palm oil industry. Based on a previously funded 4-month pilot project in 2016, analysis will show how Bloomberg Terminal data and independent research can be combined to show governance trends using two separate big data tools – Gephi (macro level) and LittleSis (micro-level).

The pilot will demonstrate what are the key investors and executive and board-level interlocks demonstrating industry-wide conflicts of interest – and at times even potentially illegal behavior.

Biography
Gabriel Thoumi, CFA, FRM is a Senior Fellow at Climate Advisers where he provides global financial analysis for mitigating systemic climate risk while advising on “greening” capital markets for clients and coalitions.

He has 15 years of experience managing and deploying frameworks to improve global capital markets sustainability through risk mitigation and return enhancement. Previously, for Calvert Investment Management, he valued global equity, index, and fixed income portfolios and their component positions in the utilities, energy, materials, chemicals, and financial sectors. He worked on quantitative index construction and asset allocation strategies. He engaged Fortune 500 CEOs on approaches to mitigating climate risk using financial risk management tools. He led initiatives to improve financial accounting of exchange-listed products and incorporated natural capital into financial tools. He wrote the winning Agriculture Supply Chain Adaptation Facility for the Global Innovation Lab for Climate Finance.

His research on capital markets has been cited by Forbes Magazine and the Guardian as key reasons why markets can improve our societies’ collective ability to mitigate climate change. He has co-authored numerous papers including a recent paper in Science on standardizing payments for ecosystem services.

Formerly, for the U.S. Government, as Senior Director Finance and Carbon Markets, he led a team publishing confidential analysis on Latin American REDD+ financial readiness. At Morgan Stanley’s climate change mitigation company, he conducted due diligence on derivatives and financed infrastructure projects. At Wells Fargo, he managed $4 billion daily in commercial bank lending and priced financial risks for over 2,000 financial counterparties while managing a $16 billion fixed income portfolio to protect public deposit accounts, and he sold financial products while supporting fixed income trading.

He has an MBA and MSc from the University of Michigan where he was a Consortium and Erb Institute fellow. He is a frequent speaker, author, and lecturer for various universities. He also is a Certified Ecologist by the Ecological Society of America and LEED AP (BD+C) and LEED AP (O+M).
09-03-Thoumi. CFA. FRM-144_ppt.pdf


ID: 969 / 09-03: 6
Innovation Fair - Lightning Talk (geospatial, cloud, data technologies)

Mapping Economic Indicators Using Commercial Satellite Imagery: A Case Study in Poverty Analysis of Sri Lanka to Explore Best Practices for Feature Extraction and Classification

Nick Hubing, Chris Lowe

LAND INFO Worldwide Mapping, LLC, United States of America

Typical sources of economic indicators such as household surveys and census data are time-consuming and expensive, some areas also have security concerns or access constraints. Lack of current information complicates the efforts of policy makers and aid organizations. This talk will use an extensive Sri Lanka poverty mapping project completed for the World Bank to examine the use of high-resolution satellite imagery, which has a relatively low cost and the potential for frequent updates, as a source to generate economic indicators. We will identify indicators such as building footprints, roof material type, transportation vectors and cultivation that can be extracted. We will highlight how to perform feature extraction and classification with a comparison of manual methods (hand digitizing) and automated classification techniques, including OBIA (Object Based Image Analysis) computer vision and cloud-processing. Output of custom mapping, including statistics, will be compared to open-source mapping (OpenStreetMap), and applications of map data layers extracted from imagery will be discussed.

Biography
Nick Hubing has more than 20 years’ experience working in the geospatial technology field. He has served as the President of LAND INFO Worldwide Mapping since 2004. Under his leadership, the company has developed one of the world’s largest commercial digital map archives, become widely recognized in the area of remote sensing, and achieved 12 years of consecutive growth and profitability. Mr. Hubing has been heavily involved within the commercial high-resolution satellite imaging industry since its inauguration with the launch of IKONOS in 1999; he has helped pioneer new satellite imagery applications for NGOs, government agencies, utilities and environmental organizations. Mr. Hubing is a graduate of the University of Wisconsin-Madison with degrees in Economics, International Relations and Latin American Studies.
09-03-Hubing-969_paper.pdf
09-03-Hubing-969_ppt.pptx


ID: 430 / 09-03: 7
Innovation Fair - Lightning Talk (geospatial, cloud, data technologies)

Software Comes and Goes, Data Stays Forever!

Arnulf Christl

Metaspatial, Germany

Software developers complain about wrong data. It just does not comply to the specs. It is a complete mess. The owners of the data do not understand the agitation because they have worked with some odd, old software for ages and it sort of always worked out. Why change now? The metadata sits in the mind of so many people but has never been organized and fixed (to fit into your software). The data manager on the other hand has the same problems but the other way round. The data does not download, the encoding is wrong, the coordinate system is screwed and at the end all the decimals are cut off. Who is right? It is always the data owner! Because software comes and goes, the data stays. This talk is a plea to mind the data. Remember this: Never use software that does not work on open formats. Really open. Like in Open Source but even better.

Biography
Arnulf Christl is a geospatial systems architect and provides consultancy for clients throughout the world such as the United Nations, Ordnance Survey Great Britain, Siemens and IBM. Arnulf provides consultancy for geospatial systems through his company Metaspatial. He has a thorough background in secure and quality assured Open Source products based on Open Standards and is knowledgeable in Open Data models. Arnulf is President Emeritus of the Open Source Geospatial Foundation (OSGeo) and a member of the Open Geospatial Consortium (OGC) Architecture Board. He is also founding member of the OSGeo initiative GeoForAll and sits on the advisory board of the GLTN project Social Tenure Domain Model (STDM).
09-03-Christl-430_ppt.pdf


ID: 627 / 09-03: 8
Individual Papers
Oral Presentation
Topics: Harnessing geospatial data, cloud platforms and other data technologies
Keywords: applications, satellite data, cloud computing, open source, time series

Combining GIS And Remote Sensing Data Using Open Source Software To Assess Natural Factors That Influence Poverty

Markus Neteler, Carmen Tawalika, Till Adams, Hinrich Paulsen

mundialis GmbH & Co. KG, Germany

Worldwide livelihoods are at risk from a multitude of factors like drought, agricultural pests, pandemics, fluctuating commodity prices, or political instability. Monitoring vast areas is only possible with new Earth observation (EO) data including the European Copernicus Sentinel as well as the US Landsat-8 satellite data being available in almost real-time under an Open Data license. Yet there is a vast discrepancy between raw data availability and the uptake by policy makers due to lack of knowledge in processing satellite data, of computational power and fundamentally not knowing what type of information can be extracted to address societal challenges.

The company mundialis is a remote sensing and big geodata analyst startup from 2015, providing EO products through standardized web mapping services. Mundialis leverages the power of geospatial open source software brought, providing insights into time dependent events or gradual changes, hidden correlations and short term risk to support data driven decisions. The presentation will focus on temperature, a main driver for most ecological processes as well as human welfare. It is a key indicator for a multitude of applications from growing crops, assessing the potential spread of emerging disease vectors or agro-pests, to the detailed identification of urban heat islands.

09-03-Neteler-627_paper.pdf
09-03-Neteler-627_ppt.pdf


ID: 616 / 09-03: 9
Innovation Fair - Lightning Talk (geospatial, cloud, data technologies)

Walking Spatio-Temporal Datacubes - Seamlessly from Laptop to Cloud to Federations

Peter Baumann

Jacobs University, Germany

rasdaman (“raster data manager”) enables agile analytics on massive spatio-temporal datacubes, including sensor, imagery, image timeseries, simulation, and statistics data. For land & poverty tasks rasdaman provides simple, integrated access and mix&match of satellite, weather, and further data dynamically. Working equally well in networked and standalone (e.g., rural) settings rasdaman supports intelligent farming, land use and environmental monitoring, disaster management, etc.

Flexibility, performance, scalability, and open standards set multi-award winning rasdaman apart, together with its adaptive mass data ingest. A plethora of open clients attaches itself to rasdaman, including OpenLayers, QGIS, NASA WorldWind, python, etc. Innovative enablers such as adaptive distributed storage, cloud parallelization/distribution, and use of heterogeneous hardware make rasdaman excel over, e.g., Spark in independent benchmarks. Laptops, clouds, and datacenters federate easily through their rasdaman installations offering a common single information space to users.

Open-source rasdaman is Reference Implementation for OGC & INSPIRE WCS and the blueprint for ISO Array SQL and OGC WCPS. Installed at leading data centers, such as NASA/US, ECMWF/Europe, and NCI/Australia, datacubes are exceeding 250 TB, growing towards PB. Hitechs utilize rasdaman for value-adding geo services.

Demos will include realtime federation, TB datacube queries, and on-the-fly addition of new datasets.

Biography
Peter Baumann is Professor at Jacobs University [1] and hitech founder and CEO. With his research on flexible, scalable multi-dimensional Big Datacubes he has coined the research field of Array Databases [2] and is Principal Architect of the worldwide first complete and operational Array DBMS, rasdaman [3].

Peter Baumann has authored and co-authored 120+ book chapters and papers on raster databases and related fields, and holds international patents on array databases. He is regularly invited to program committees of Big Data related conferences, and is on the board of several journals.

In RDA he is co-chairing the Big Data, Geospatial, and Array Database groups; in OGC he is co-chairing the Big Data, Coverages, and WCS group. Based on his 20 years of experience he is actively shaping Big Data standards, such as the OGC Big Geo Data suite, WCS, suite and ISO Array SQL. In recognition of his entrepreneurial work in the field he has received a series of national and international innovation awards, such as the renowned OGC Kenneth Gardels Award.
More information is available on [4].
[1] https://www.jacobs-university.de/lsis
[2] http://en.wikipedia.org/wiki/Array_DBMS
[3] http://www.rasdaman.org
[4] http://www.peter-baumann.org
09-03-Baumann-616_paper.pdf
09-03-Baumann-616_ppt.pptx


ID: 961 / 09-03: 10
Innovation Fair - Lightning Talk (geospatial, cloud, data technologies)

Innovative application of machine learning and AI using earth observation to provide dynamic data and actionable intelligence.

Conor Gerard Smyth, Alexis Smith

IMGeospatial.com/Intelligent Modelling Ltd, United Kingdom

As are an innovative company with a strong societal change ethos. We create AUTOMATICALLY SMARTER™ products based on machine learning and artificial intelligence. Our patented processing algorithms allow for automatic feature identification and extraction from earth observation and multi-scopic data without manual intervention and with the principal advantage of being able to provide near real-time topographic feature change detection, auto-map updates and feature classification and related information which are crucial in a range applications such as real-time monitoring, land-use change monitoring, disaster risk reduction and dynamic mapping of urban and other developments among many other end applications.

Our capability is more than just overcoming data gaps, we aim to provide actionable intelligence to assist our users, clients and partner organisations resolve many of their significant challenges whether immediate or strategic in nature. Our solutions to the many global and societal challenges are facilitated through our ability to:

• Create new insights and business intelligence

• Create sustainable profitability

• Resolve problems in near real-time

• Enhance planning and risk mitigation

• Integrate into existing geospatial platforms

• Facilitate positive societal change

Biography
Conor is a geospatial professional with an extensive background in geospatial modelling, applied research, consultancy and publishing; over the years, he has also participated in several international collaborative projects to establish ICT solutions to global and societal issues, including risk modelling. Conor has significant national and international experience in several sectors in the development, management and implementation of innovative national-scale spatial data infrastructures, including strategy and policy development, operations management and customer service delivery. Internationally, he is a recognised authority in several key domain areas and an active contributor to the international geospatial community, including involvement in the European Citizen Science Association Policy Working Group. A former non-Executive Director of the Association of Geographic Information, Conor is a final assessor on the Royal Geographical Society CGeog (GIS) professional accreditation scheme. Conor supports IMG to promote, implement and develop its strategic global vision to change the way you see your world™.
09-03-Smyth-961_paper.pdf
09-03-Smyth-961_ppt.pptx


ID: 189 / 09-03: 11
Innovation Fair - Lightning Talk (geospatial, cloud, data technologies)

High Accuracy, Low Cost Cadastral Mapping

Brent Jones

Esri, United States of America

Technology continues to evolve in all areas – ease of use, access to data, lower cost, and high accuracy. This presentation will explain how new GIS technology leverages survey accurate GPS using Android phones/tablets, satellite imagery and ArcGIS Online, all in a simple, accessible, low cost platform. This technology is secure, sustainable and enables organizations to get started and scale for the future.

Biography
Based in Washington D.C., Brent Jones oversees Esri’s worldwide strategic planning, business development, and marketing activities for land records, cadastral, surveying, and land administration. As a recognized technology innovator, Jones specializes in modernizing existing land administration systems and designing new GIS-based cadastral management platforms for small and large governments around the globe. He is a member of the URISA board of directors and past president of the Geospatial Information and Technology Association and a current member of the United Nations Committee of Experts on Geospatial Information Management sitting on the Expert Group on Land Administration and Management.
09-03-Jones-189_paper.pdf
09-03-Jones-189_ppt.pptx


ID: 974 / 09-03: 12
Innovation Fair - Lightning Talk (geospatial, cloud, data technologies)

Mapbox for Land

Mikel Maron

Mapbox, United States of America

Learn where Mapbox is pushing the edges of the possible with geospatial visualization, and where we can go together for the land sector

Biography
Mikel Maron builds collaborative processes at Mapbox to improve data, advance work with OpenStreetMap and help grow the adoption of open geo data in businesses, governments and education.

As Presidential Innovation Fellow at the US State Department Mikel has driven OpenStreetMap adoption across federal agencies. He is co-founder of the Humanitarian OpenStreetMap Team, co-founder of Map Kibera and GroundTruth Initiative and founding member of the OpenStreetMap Foundation. He holds a master’s degree in Evolutionary and Adaptive Systems from the University of Sussex, and bachelor’s degree in Computer Science from UC Santa Cruz.
09-03-Maron-974_ppt.pdf