Author: Martin Wegmann

article accepted: remote sensing spatial pattern analysis

Our article in MEE got accepted “r.pi: a GRASS GIS package for semi-automatic spatial pattern analysis of remotely sensed land cover data” by Martin Wegmann, Benjamin Leutner, Markus Metz, Markus Neteler, Stefan Dech, Stefan and Duccio Rocchini. It outlines the capabilities of the r.pi package to analyze spatial patterns derived from remote sensing land cover data to inform about landscape conditions and changes. Such fragmentation measures are relevant for ecology or conservation as well as for remote sensing to produce value-added landcover maps that provide details on the spatial structure of the...

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new R package “moveVis” published

Our EAGLE MSc. student Jakob Schwalb-Willmann just published a neat animal movement and remote sensing animation package called “moveVis“. It allows to animate movement tracks with corresponding or static remote sensing environmental data. Jakob is currently working to implement some more functionality. These will allow more customization and also some more information retrieval of resource use of single individuals. This new package will be used in the upcoming science schools AniMove and already got a lot of attention by people working in the interdisciplinary field of remote sensing and animal...

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new publication: Open data and open source for remote sensing training in ecology

Our new publication “Open data and open source for remote sensing training in ecology” lead by Duccio Rocchini is now online covering the potential of open-access and open-source within training Earth Observation applications in other disciplines such as ecology. It is related to the special issue on remote sensing training for ecology and conservation published earlier this year and highlights the importance to embrace open-access and -source in remote sensing training.   read the full article here: Duccio Rocchini, Vaclav Petras, Anna Petrasova, Ned Horning, Ludmila Furtkevicova, Markus Neteler, Benjamin Leutner, Martin Wegmann (2017) Open-access and open-source for remote sensing training in ecology, Ecological Informatics  ...

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New M.Sc. started: Burn scar detection using polarimetric ALOS-2 time-series data

Susanne Karg started her M.Sc. thesis on „Burn scar detection using polarimetric ALOS-2 time-series data“ in cooperation with DLR-DFD (Günter Strunz, Sandra Martinis). The aim of this thesis is to develop a change-detection approach using polarimetric SAR (PolSAR) data and, if suitable data is available, interferometric SAR (InSAR) data to detect fire scars. Within this thesis different polarimetric decomposition approaches and pixel-based classifications will be tested for their suitability to detect a recently burned region of interest. The variables which perform best will then be used for an object-based post-classification...

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M.Sc. handed in: Quantifying land cover change using remote sensing data in a transboundary protected area

Henrike Schulte to Bühne handed in her M.Sc. thesis “Quantifying land cover change using remote sensing data in a transboundary protected area” supervised by Nathalie Pettorelli (ZSL) and me. From the abstract: Biodiversity is declining at unprecedented rates as a result of global environmental change, threatening ecosystem stability and resilience, on which human well-being ultimately depends. Transboundary cooperation is being promoted as an effective way to conserve biodiversity that straddles national borders. However, monitoring the ecological outcomes of these large-scale endeavours is challenging, and as a result, the factors and processes likely to shape their effectiveness remain poorly identified and understood. To address this knowledge gap, this thesis quantified loss and fragmentation of natural vegetation across the W-Arly-Pendjari transboundary protected area complex, a key biodiversity hotspot in West Africa. Land cover maps for 2000, 2006 and 2013 were generated by combining open source optical remote sensing data with spectral change analyses and supervised classification algorithms to quantify loss and fragmentation of natural vegetation as a result of agricultural expansion. There was widespread agricultural expansion outside protected areas between 2000 and 2013, whereas expansion was limited inside protected areas. Additionally, natural vegetation was less fragmented inside than outside protected areas. Protected areas with high protection status appeared considerably more effective at preventing land conversion, and had less fragmented natural vegetation, than other protected areas. There were marked differences in cropland...

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the Remote Sensing Department
at the University of Würzburg
Institute of Geography and Geology
Oswald Külpe Weg 86
97074 Würzburg

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