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Martin Wegmann (Dr.)

Remote Sensing for Biodiversity and Conservation

Environmental destruction not avoided with the Sustainable Development Goals

The Sustainable Development Goals (SDGs) were developed as a blueprint for a more sutainable and better future for all. Biodiversity and ecosystems are placed at the center of the SDGs and associated targets, particularly as both contribute directly to human...

Land productivity dynamics in and around protected areas globally

A recent publication by de la Fuente et al. (2020) reveales that land productivity has dropped or risen in nearly half of the total land under protection worldwide from 1999 to 2013. The scientists analysed the trends in land...

A global map of terrestrial habitat types

Jung et al. (2020) describe a method to map the IUCN habitats classification scheme directly for most terrestrial and inland water habitats. Following a decision tree approach, they intersected data on land cover (Copernicus land-cover product), climate, land use and...

Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series

This new paper by Pickens et al. (2020) uses all Landsat scenes from 1999 to 2018 and performs a time-series analysis to map and track changes in open inland surface water dynamics on a global scale. The results reveal that the...

Remotely-sensed productivity clusters capture global biodiversity patterns

In this paper led by Nicholas C. Coops (see below for citation), Dynamic Habitat Indices (DHIs) are used to capture global terrestrial productivity dynamics. The environmental regionalisation is conducted using an unsupervised two-stage multivariate clustering...

Environmental destruction not avoided with the Sustainable Development Goals

The Sustainable Development Goals (SDGs) were developed as a blueprint for a more sutainable and better future for all. Biodiversity and ecosystems are placed at the center of the SDGs and associated targets, particularly as both contribute directly to human...

Land productivity dynamics in and around protected areas globally

A recent publication by de la Fuente et al. (2020) reveales that land productivity has dropped or risen in nearly half of the total land under protection worldwide from 1999 to 2013. The scientists analysed the trends in land...

A global map of terrestrial habitat types

Jung et al. (2020) describe a method to map the IUCN habitats classification scheme directly for most terrestrial and inland water habitats. Following a decision tree approach, they intersected data on land cover (Copernicus land-cover product), climate, land use and...

Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series

This new paper by Pickens et al. (2020) uses all Landsat scenes from 1999 to 2018 and performs a time-series analysis to map and track changes in open inland surface water dynamics on a global scale. The results reveal that the...

Remotely-sensed productivity clusters capture global biodiversity patterns

In this paper led by Nicholas C. Coops (see below for citation), Dynamic Habitat Indices (DHIs) are used to capture global terrestrial productivity dynamics. The environmental regionalisation is conducted using an unsupervised two-stage multivariate clustering...
Open call for the nomination of the GEO BON co-chair

Open call for the nomination of the GEO BON co-chair

GEO BON has opened a nomination process for its co-chair that will serve a mandate of at least 3 years together with Andrew Gonzalez (QCBS and McGill University). Together with the announcement of the relocation of GEO BON's headquarters from Leipzig, Germany, to...

Forest Health using remote sensing

Forest Health using remote sensing

A new publication on forest health monitoring got published in Remote Sensing. From the abstract: “Forest ecosystems fulfill a whole host of ecosystem functions that are essential for life on our planet. However, an unprecedented level of anthropogenic influences is...

The GlobDiversity project has kicked off!

The GlobDiversity project has kicked off!

The GlobDiversity project has kicked off!  The GlobDiversity project, funded by the European Space Agency (ESA), supports the efforts of the Convention on Biological Diversity (CBD), Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services...

Remote Sensing Statistics for Animal Movement Data

Remote Sensing Statistics for Animal Movement Data

Explaining animal movement patterns using remotely sensed environmental information and vice versa is increasingly possible with new remote sensing data sets and improved animal tracking technologies. A great visualization of this has been done within AniMove using...

Martin Wegmann is based at the remote sensing department of Prof. S. Dech, head of DLR-DFD (German Aerospace Data Center) in Würzburg where he leads the Remote Sensing and Biodiversity research topic. Moreover he is an assistant professor at the Global Change Ecology M.Sc. Program and the point of contact for the CEOS Biodiversity initiative, which aims at coordinating space borne activities for biodiversity and conservation related activities. Moreover he is on the steering committee of the Conservation Remote Sensing group, advisory board of the EU BON project and Implementation Committee in GEO BON.

In his courses the theoretical background as well as the practical implementation of remote sensing for biodiversity research and conservation application are taught. The remote sensing data analysis as well as the integration with biodiversity data and the spatial statistics including spatial modelling are mainly done with OpenSource software such as R and GRASS.  The majority of courses are done within the Global Change Ecology MSc. program but other courses have been done in Würzburg as well as in different locations in West Africa.
The added value of spatial and temporal variable environmental data sets for corresponding biodiversity modelling approaches are in the focus of his work. Especially the spatial arrangement of landcover and its implication for spatial biodiversity patterns based on remotely sensed information interests him. Most of his work has been done in Europe and Africa.

infos

doing stuff

  • R since 2002
  • GRASS since 2002
  • Linux since 2002
  • name
  • name
  • OpenSource usage 90% 90%
  • 0% 0%

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