Feed on
Posts
Comments

Tag Archive 'deepVGI'

Recently a new DFG project proposal was accepted to the GIScience Research Group Heidelberg within the DFG priority programme VisVGI (Volunteered Geographic Information: Interpretation, Visualisation and Social Computing” [SPP 1894]). It is joint collaboration project together with Prof. Begüm Demir from TU Berlin.
IDEAL-VGI: Information Discovery from Big Earth Observation Data Archives by Learning from Volunteered [...]

Read Full Post »

Today we celebrate the International Day for #DisasterRiskReduction. HeiGIT offers a growing set of tools and services that support humanitarian aid during and before disasters. Examples include work in the context of the Missing Maps initiative, like conceptualising and extending microtasking apps like MapSwipe, as well as services for analysing MapSwipe data and making it [...]

Read Full Post »

Our new paper on Machine Learning and Humanitarian Mapping
Nowadays, Machine Learning and Deep Learning approaches are steadily gaining popularity within the humanitarian (mapping) community. New tools such as the ML Enabler or the rapId editor might change the way crowdsourced data is produced in the future. Hence, at the Heidelberg Institute for Geoinformation Technology and [...]

Read Full Post »

Recently a new paper about Estimating OpenStreetMap Missing Built-up Areas using Pre-trained Deep Neural Networks (DNNs) has been presented at the AGILE GIScience conference 2019 in Cyprus.
Although built-up areas cover only a small proportion of the earth’s surface, these areas are closely tied to most of the world’s population and the economic output, which makes the [...]

Read Full Post »

The Humanitarian OpenStreetMap Team (HOT) , the Heidelberg Institute of Geoinformation Technology (HeiGIT) , and the wider MapSwipe Community started working on an MapSwipe extension to monitor changes in satellite imagery. The goal of the two-month project is to extend the app with new functionalities that would allow the users to compare two satellite images [...]

Read Full Post »

Recently, earth observation by satellites has shown great capability in supporting a range of challenges such as disaster assessment, agriculture monitoring, and humanitarian mapping. MapSwipe, as a humanitarian mapping app, provides a crowdsourcing platform to collect volunteered geographical information (VGI), in order to generate the demanding base map of human settlements for better planning of [...]

Read Full Post »

Humanitarian organizations can’t help people if they can’t find them.
This was the simple reason to create MapSwipe back in 2016 and it is still as pressing as in the very beginning. In the last 2,5 years volunteers have contributed more than 18,000,000 results, which help humanitarian organizations to create maps of human [...]

Read Full Post »

Heidelberg Alumni USA (HAUS) is the alumni initiative for all former students, lecturers, professors or staff of Heidelberg University who live or work in the US.
HAUS was born in New York City, and that’s where we will celebrate the tenth anniversary the weekend of September 14-16, 2018. We hope you will be there for this [...]

Read Full Post »

Satellite images are widely applied in humanitarian mapping which labels buildings, roads and so on for humanitarian aid and economic development. However, the labeling now is mostly done by volunteers. In a recently accepted study, we utilize deep learning to solve humanitarian mapping tasks of a mobile software named MapSwipe. The current deep learning techniques [...]

Read Full Post »

Today Prof. Alexander Zipf is giving an invited keynote speech at the German Aerospace Center (DLR) in Oberpfaffenhofen, the national aeronautics and space research centre of the Federal Republic of Germany.
The DLR organises a two day workshop called “DLR.Open II - Open Data Science und Open Geodata“. This is the second workshop on Open Data [...]

Read Full Post »

Older Posts »