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Category Archive for 'Land use'

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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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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INTERDISCIPLINARY NATURE STUDY SHOWS THAT INNER TOWN GREEN DIRECTLY INFLUENCES ON CITY RESIDENTS
Inner city green areas such as lawns, flowerbeds, trees or parks can directly improve the well-being of city dwellers. These are the findings of a recent study conducted by scientists from GIScience Research Group at Heidelberg University and the Heidelberg Institute for Geoinformation [...]

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INTERDISZIPLINÄRE STUDIE ZEIGT, DASS INNERSTÄDTISCHES GRÜN UNMITTELBAR EINFLUSS AUF STADTBEWOHNER HAT
Innerstädtische Grünflächen wie Rasen, Blumenbeete, Bäume oder Parks können unmittelbar das Wohlbefinden im Alltag von Stadtbewohnern verbessern. Das zeigt eine aktuelle Studie, die Wissenschaftler des Zentralinstituts für Seelische Gesundheit (ZI) in Mannheim gemeinsam mit Geoinformatikern der Universität Heidelberg und Forschern des Mental mHealth Lab am [...]

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Where is the next shaded bench to escape the burning heat? Where can I play soccer within the city and later on have a barbecue with my friends? All of these questions require information about features of urban green spaces. Although it is easy to find the right place within your own neighbourhood, it is [...]

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Land is a spare resource so it makes sense to think about how to use it most efficiently. This leads to the problem of land use allocation under consideration of trade-offs. Multi-objective optimization algorithms are a tool quantify the trade-offs by estimating the Pareto-optimal land use allocations. Often, constraints in the solution space have to [...]

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GIScience/HeiGIT member Sven Lautenbach is hosting together with Jonas Schwaab from the ETH Zürich a session on Multi-objective optimization approaches to support visioning and decision-making in land-use system science at the 4th Open Science Meeting of the Global Land Programme April 24-26, 2019 | Bern, Switzerland.
The session aims at approaches that study the potential [...]

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Pollination by animals is an important service for wild plant communities as well as for agricultural crops. The service is mainly provided by insects, especially honeybees and a wide range of wild bees but also butterflies. A large number of crops depends globally on this pollination service – examples are apples, oranges, cocoa, coffee, strawberries [...]

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Agricultural production in the Mediterranean region is challenged by both climate change and socio-economic factors that might lead to accelerated land degradation and severe loss of ecosystem services. Climate change is likely to lead to increasing water stress in the region leading to drought related loss of agricultural production and [...]

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A new study has been published in the international open access journal Geo-spatial Information Science (GSIS, Taylor & Francis), that explores the land use/land cover (LULC) separability by the machine-generated and user-generated Flickr photo tags (i.e. the auto-tags and the user-tags, respectively), based on an authoritative LULC dataset for San Diego County in the United [...]

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