Biophysical Characterization of Protected Areas Globally through Optimized Image Segmentation and Classification
AbstractProtected areas (PAs) need to be assessed systematically according to biodiversity values and threats in order to support decision-making processes. For this, PAs can be characterized according to their species, ecosystems and threats, but such information is often difficult to access and usually not comparable across regions. There are currently over 200,000 PAs in the world, and assessing these systematically according to their ecological values remains a huge challenge. However, linking remote sensing with ecological modelling can help to overcome some limitations of conservation studies, such as the sampling bias of biodiversity inventories. The aim of this paper is to introduce eHabitat+, a habitat modelling service supporting the European Commission’s Digital Observatory for Protected Areas, and specifically to discuss a component that systematically stratifies PAs into different habitat functional types based on remote sensing data. eHabitat+ uses an optimized procedure of automatic image segmentation based on several environmental variables to identify the main biophysical gradients in each PA. This allows a systematic production of key indicators on PAs that can be compared globally. Results from a few case studies are illustrated to show the benefits and limitations of this open-source tool. View Full-Text
- Supplementary File 1:
ZIP-Document (ZIP, 716 KB)
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Martínez-López, J.; Bertzky, B.; Bonet-García, F.J.; Bastin, L.; Dubois, G. Biophysical Characterization of Protected Areas Globally through Optimized Image Segmentation and Classification. Remote Sens. 2016, 8, 780.
Martínez-López J, Bertzky B, Bonet-García FJ, Bastin L, Dubois G. Biophysical Characterization of Protected Areas Globally through Optimized Image Segmentation and Classification. Remote Sensing. 2016; 8(9):780.Chicago/Turabian Style
Martínez-López, Javier; Bertzky, Bastian; Bonet-García, Francisco J.; Bastin, Lucy; Dubois, Grégoire. 2016. "Biophysical Characterization of Protected Areas Globally through Optimized Image Segmentation and Classification." Remote Sens. 8, no. 9: 780.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.