Introduction to remote sensing and GIS for ecological applications (IRMS01)
21 May 2018 - 25 May 2018
The course will deal with different aspects related to the use of remote sensing and GIS in spatial ecology by using the Free and Open Source Software GRASS GIS coupled with R. By the end of this 5-day practical course, attendees will have the capacity to deal with ecological patterns and processes by using GIS and remote sensing algorithms. The increasing availability of open ecological and geographical data through networks such as the Global Biodiversity Information Facility (GBIF, http://www.gbif.org) or the Data Observation Network for Earth (DataONE) federated data archive (http://www.dataone.org) makes it increasingly possible to test cutting-edge ecological theories. In using a shared open-source code for testing these ecological theories, researchers can be sure that their results are reliable and also that the code they have used is robust. Attendees will be able to process spatial and ecological data by free and open source algorithms. The course will be mainly practical, but grounded on robust theory. All the analyses will be performed in GRASS GIS and the code will be shared with attendees.
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