Month: June 2018
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Use of multi-objective optimization to assess trade-offs of urban expansion in Switzerland
One of the many unwanted side effects of urban growth is the loss of fertile soils since most citizens and villages have been founded in close proximity to fertile soils. Preserving high-quality soils however can conflict with the objective of developing compact urban patterns. A team from researches at the GIScience group, the ETH Zürich…
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Colloquium on a low-cost mini-UAV laser scanning system (Kylin Cloud)
We cordially invite everybody interested to our next open GIScience colloquium talk The speaker is Prof. Bisheng Yang State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China When: Monday 11.06.2018, 2:15 pm Where: INF 348, room 015 (Institute of Geography, Heidelberg University) A low-cost mini-UAV laser scanning system –…
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Full publication of multitemporal multisensor dataset from an Arctic permafrost research site
The multisensor datasets acquired in the three field campaigns of the PermaSAR project have recently been published on the Open Access data library PANGAEA: Anders, K., Antonova, S., Beck, I., Boike, J., Höfle, B., Langer, M., Marsh, P., Marx, S., (2018): Multisensor ground-based measurements of the permafrost thaw subsidence in the Trail Valley Creek, NWT,…
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PLATIAL’18 Workshop in September
The recent availability of user-generated geographic datasets allows gaining novel insights into otherwise hardly observable societal phenomena. Geosocial media forms one important source of user-generated information, which partly describes the everyday lives of people. The analysis of these kinds of data, however, requires new approaches. Geosocial media data—like those extracted from Twitter, Flickr, Instagram, and…
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Your support for MAnnheimer MAPAthons (MAMAPA)
Beginning of May the recently launched MAMAPA project reached yet another milestone. Four very successful MAMAPA mapathons were already organized in the Mannheimer Abendakademie, supported by CartONG, HeiGIT/ disastermappers heidelberg and local tandems, and there are hopefully many more to come… To build a sustainable future for the MAMAPA project, members of HeiGIT, CartONG and…
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A discussion of crowdsourced geographic information initiatives and big Earth observation data architectures for land-use and land-cover monitoring
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…