Author: Remote Sensing Biodiversity

publication on roadless areas and their conservation status

Pierre Ibisch and colleagues published in Science a global map of roadless areas and their conservation status. Roads are threatening the integrity of the landscape and cause damage to habitat and wildlife. Only small areas on our planet are unaffected by roads and the remaining “wild” patches are not greater than 100km² as Ibisch and colleagues showed. From the abstract: “The planet’s remaining large and ecologically important tracts of roadless areas sustain key refugia for biodiversity and provide globally relevant ecosystem services. Applying a 1-kilometer buffer to all roads, we present a global map of roadless areas and an...

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Copernicus Global Land Cover Map

IIASA, Wageningen University and VITO Remote Sensing created (and will continue to provide) global land cover maps. More details from their webpage: To tackle deforestation or loss of biodiversity for example, organizations first have to know the physical coverage of the Earth’s surface, its use and its dynamics.  The Copernicus Global Land Services therefore extend its portfolio and released its first Global Land Cover Map to provide spatial information about land for a diversity of applications ranging from global forest monitoring, global crop monitoring, biodiversity and nature conservation to climate modelling. By merging remote sensing imagery with other ancillary data...

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global soil data: SoilGrids

A global  spatial soil information layer is available via and has been published by Tomislav Hengl and colleagues in PLOSone. The information is derived through the combination of soil profiles remote sensing-based covariates primarily MODIS and DEM data. from the about: SoilGrids is a system for automated soil mapping based on global soil profile and environmental covariate data. SoilGrids represents a collection of updatable soil property and class maps of the world at 1 km and 250 m spatial resolution produced using automated soil mapping based on machine learning algorithms. It aims at becoming OpenStreetMap and/or OpenWeatherMap for...

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online course: Earth Observation from Space: the Optical View

Discover how optical Earth observation data is gathered and used in this free online course from the European Space Agency (ESA).   This free online course will provide an introduction to optical Earth observation – monitoring our planet from satellites, using photography, imaging in various wavelengths, lidar and other optical sensing technologies. You’ll find out how satellite data is acquired and used, the range of data types available, and the terminology and techniques involved. The course will also provide detailed case studies of how this data is used in diverse fields, from climate science to humanitarian relief, monitoring of...

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PhD position: remote sensing for nature conservation

Key responsibilities • To develop ecoinformatics tools to track animals based on hyperspectral data; • To create a data assimilation-based method to derive and classify functional attributes of vegetation based on hyperspectral data; • To link spatial and temporal patterns of animal movements to vegetation characteristics for a better understanding of animal preferences and behaviour; • To provide suggestions for nature management based on a high spatiotemporal understanding of ecosystems. Selection Criteria • MSc degree in remote sensing or informatics with applications to ecological or land surface issues. Alternatively; MSc degree in biology or environmental sciences with a proven...

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