Title :
Green and blue belt networks: Mapping connectivity areas at a regional scale using medium and high spatial resolution satellite images
Author :
Hubert-Moy, Laurence ; Nabucet, Jean ; Lecerf, Rémi ; Dufour, Simon ; Burel, Françoise
Author_Institution :
LETG-Rennes Costel, Univ. Rennes 2, Rennes, France
Abstract :
The distribution of ecosystem sites, their connectivity and their evolution are key links between ecology and society, as these landscape patterns determine the regional sustainability for biodiversity and are subject to human interventions. While little attention has been paid to procedures for mapping connectivity among numerous “natural” landscape elements over large areas, the principal objective of this study was to map ecological corridors at a regional scale using remotely sensed data. To achieve this goal, we developed an approach including three stages: first, permanent “natural” landscape elements were identified from Landsat TM images; second, permanent grassland connected to these elements was extracted from a multitemporal series of MODIS images and aggregated to them; third, connectivity was depicted by least-cost modeling. The regional connectivity map can be analyzed at a regional scale to highlight large corridors, but also at a local scale to determine areas for conservation intervention.
Keywords :
ecology; geophysical image processing; image resolution; terrain mapping; Landsat TM images; biodiversity regional sustainability; blue belt network; ecosystem site distribution; green belt network; high spatial resolution satellite images; landscape patterns; least-cost model; mapping connectivity procedures; medium spatial resolution satellite images; multitemporal MODIS image series; natural landscape elements; regional connectivity mapping; regional scale; remote sensing data; Belts; Earth; Environmental factors; MODIS; Remote sensing; Satellites; Spatial resolution; Connectivity; Ecological corridors; Green belt network; Regional scale; Remote sensing;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6352216