News of Heidelberg University’s GIScience Research Group.
Posted in Events on Jan 29th, 2019
Machine Learning for Space and Earth Observation Data (ML-SEOD) 2019
Call for Papers
The Earth and Space environments are being monitored by an unprecedented amount of sensors: Earth observation satellites, sensor networks, telescopes working in different wavelengths, human records of Earth and Space events, etc. This generates a huge amount of raw data that must be processed [...]
Posted in Events, Press release on Dec 17th, 2018
Die Fachtagung Katastrophenvorsorge wird jedes Jahr vom Deutschen Roten Kreuz organisiert, mit dem Ziel eine Dialogplattform für verschiedene Akteuren der nationalen und internationalen Katastrophenvorsorge zu schaffen.
In Kooperation mit dem Bundesamt für Bevölkerungsschutz und Katastrophenhilfe (BBK) und dem Zentrum für satellitengestützte Kriseninformation (ZKI), haben wir vom HeiGIT den Workshop „Geodaten in der Katastrophenvorsorge“ durchgeführt. Anhand konkreter [...]
Christmas is just around the corner and the disastermappers heidelberg are organizing another workshop on the use of OpenStreetMap data. As last year they will present different ways to craft personal Christmas gifts based on OpenStreetMap features.
Additionally they will also show how to use open satellite imagery archives captured by Sentinel and Landsat mission. Together we [...]
Posted in Events on Oct 22nd, 2018
Last week our team member Dr. Michael Schultz successfully defended his PhD Defence about
Tropical deforestation monitoring using Landsat time series and breakpoint detection
at Wageningen University and Research (WUR). It was supervised by Prof. Dr M. Herold (Professor of Geo-information Science and Remote Sensing at Wageningen University & Research). We congratulate cordially! Keep up the good [...]
Join us on Thursday 13th September 2018 at the EuroGEOSS Workshop in Geneva for the validation mapathon of OSMlanduse.org Sentinel-2 landuse fusion map. Have an exclusive first peek at the EU wide OSMlanduse Sentinel-2 landuse fusion map, a result of millions of OSM contributions and the Sentinel-2 archive remote sensing data.
The event is a prequel to [...]
Posted in Publications on Aug 16th, 2018
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 [...]
Posted in Publications, VGI Group on Jun 3rd, 2018
The effective monitoring of land-use and land-cover changes (LULCC) is a basic requirement for understanding socio-enviromental processes of local to global scales. Remote sensing data and methods have long been established as the most effective approach for monitoring LULCC. The potential for further increasing the effectiveness of this approach is proportional to the astonishingly large [...]
Posted in Events on May 3rd, 2018
We cordially invite everybody interested to our next open GIScience colloquium talk
The speaker is Prof. Begum Demir
Electrical Engineering and Computer Science, Technical University of Berlin
When: Monday 07.05.2018, 2:15 pm
Where: INF 348, room 015 (Institute of Geography, Heidelberg University)
Recent Advances in Remote Sensing Image Search and Retrieval from Large Archives
During the last decade, a huge number of [...]
We cordially invite everybody interested to our next open GIScience colloquium talk
The speaker is Dr. Benjamin Bechtel
from the Institute of Geography / Center for Earth System Research and Sustainability,
Universität Hamburg www.clisap.de cen.uni-hamburg.de
When: Thursday 08.03.2018, 14ct
Where: INF 348, room015 (Institute of Geography, Heidelberg University)
Abstract:
New observations of urban climates – remote sensing and [...]
Posted in OSM, Publications, Services, VGI Group on Jan 19th, 2018
Land use data created by humans (OSM) was fused with satellite remote sensing data, resulting in a conterminous land use data set without gaps. The first version is now available for all Germany at OSMlanduse.org.
When human input (OSM data) was absent a machine generated missing land use information learning from human inputs and using remote [...]