Category: Land use
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Estimating trade-offs of land use at global scale
Land use decision involve trade-off with respect to the ecosystem service produced by the different land use systems. Agricultural use versus natural ecosystems is the main alternative for which trade-offs need to be estimated. Given the varying climatic and soil conditions this trade-off differs in space. Therefore, it is essential how agricultural land use is…
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OSMlanduse European Union validation effort
We launched a validation campaign of our new 10meter resolution OSMlanduse product for the member states of the European Union. Please contribute to the validation here. A technique where contributions are checked against each other is implemented to promote quality of information. The mapathon comes in four themes: nature, urban, agriculture or expert. While the expert…
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Contiguous high resolution OSMlanduse map of the European Union by combining Copernicus data and OpenStreetMap
Find here a new update of the OSMlanduse.org map. By injecting known tags provided by OpenStreetMap (OSM) into a remote sensing feature space using deep learning, tags were predicted when absent thus creating a contiguous map – initially for the member states of the EU. By design our method can be applied when- and wherever…
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A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks
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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Farmland abandonment in Rio de Janeiro state
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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Green spaces in cities promote well-being and mental health — ‘Nature’ Neuroscience study published with participation of GIScience researchers at Heidelberg University
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…
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GRÜNFLÄCHEN IN STÄDTEN FÖRDERN WOHLBEFINDEN; ‘Nature’ Neuroscience Studie mit Beteiligung der Geoinformatik der Universität Heidelberg veröffentlicht:
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…
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meinGrün @roadto_festival: What OSM tells us about urban green space features
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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Constraints in multi-objective optimization of land use allocation – Repair or penalize?
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 at Global Land Project open science meeting
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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Mapping ecosystem services – the example of crop pollination
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…