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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
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
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
Big Data Approaches to Market Analysis: SE Asian Palm Oil
Gabriel Thoumi. CFA. FRM
Climate Advisers, United States of America
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
Software Comes and Goes, Data Stays Forever!
Arnulf Christl
Metaspatial, Germany
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
Walking Spatio-Temporal Datacubes - Seamlessly from Laptop to Cloud to Federations
Peter Baumann
Jacobs University, Germany
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
