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Multi-sensor remote sensing image classification has been considerably improved by deep learning feature extraction and classification networks. In this recent paper, we propose a novel multi-sensor fusion framework (CResNet-AUX) for the fusion of diverse remote sensing data sources. The novelty of this paper is grounded in three important design innovations:

A unique adaptation of the [...]

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No place for climate change: A recent transdisciplinary study on the viability of public spaces in cities under increasing heat was featured in the official Heidelberg University Newsroom (English version here).

The study has been conducted by a Heidelberg research team led by Dr. Kathrin Foshag and investigated the heat stress in selected urban squares in [...]

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Accurate and detailed geographical information digitizing human activity patterns plays an essential role in response to natural disasters. Volunteered geographical information, in particular OpenStreetMap (OSM), shows great potential in providing the knowledge of human settlements to support humanitarian aid, while often the availability and quality of OSM remains a major concern. The majority of existing [...]

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Transdisciplinary study on climate change adaptation of urban squares
Climate change is not only taking place on distant continents or far into the future, but here and now. In Germany, too, the temperature is rising – and even faster than the global average – and the number of hot days is increasing. Especially in cities, the [...]

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Land use change in Brazil is often associated with a loss of natural habitat (Amazon, Cerrado, Pantanal,…) driven by farmland expansion. A current analysis by a team of Brazilian and German researchers (involving HeiGIT member Sven Lautenbach) shows that for Rio de Janeiro state farmland abandonment has been an important process. Approximately 1 million hectares [...]

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Always been curious about how we develop our methods for 3D/4D change analysis?
Then check out our new video on high-resolution and high-frequency monitoring of a rock glacier in Austria!
Link to video

LiDAR datasets of the rock glacier provide the basis for the development of 3D and 4D methods for geomorphic change quantification within different research projects [...]

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User-generated map data is increasingly used by the technology industry for background mapping, navigation and beyond. An example is the integration of OpenStreetMap (OSM) data in widely-used smartphone and web applications, such as Pokémon GO (PGO), a popular augmented reality smartphone game. As a result of OSM’s increased popularity, the worldwide audience that uses OSM [...]

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We are pleased to share that because of the response to our work, ISPRS IJGI selected our paper on Detecting Graffiti with Street View Images and Deep Learning to be highlighted as a title story through some graphics on the journals main page.

Novack T, Vorbeck L, Lorei H, Zipf A. (2020): Towards Detecting Building Facades with [...]

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Last week, members of GIScience Heidelberg participated in the 40th annual meeting of the DGPF (German association for photogrammetry and remote sensing) in Stuttgart, Germany.
Presentations were contributed by PhD students Lukas Winiwarter and Katharina Anders (3DGeo Research Group), as well as former GIScience fellow Jun-Prof. Dr. René Westerholt. Read up on the presented topics in [...]

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More than 10 years have passed since the coining of the term volunteered geographic information (VGI) in 2007. A recently published article presents the results of a review of the literature concerning VGI.
A total of 346 articles published in 24 international refereed journals in GIScience between 2007 and 2017 have been reviewed. The review has uncovered [...]

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