DocumentCode
142891
Title
Multi-temporal VHR coverage of riparian forest habitats — Can we perform better segmentation?
Author
STRASSER, THOMAS ; Lang, Stefan
fYear
2014
fDate
13-18 July 2014
Firstpage
1077
Lastpage
1080
Abstract
Riparian forest habitats are biodiversity hotspots providing crucial ecological services, where Earth observation information can be used to analyze prevailing habitats, assess their quality and conservation status, as well as the change dynamics over time. Here we present advancing investigations in the Salzach river floodplain (`Salzachauen´) at the Austrian/German border, using multiannual/multiseasonal VHR data coverage. Object-based image analysis is applied to delineate forest habitats on different hierarchical levels. To enhance the stability of the basic segmentation levels, the usage of multitemporal WorldView-2 data is investigated. Based on five panchromatic bands, we created (1) temporal stable and textural homogeneous core segments and (2) edge segments caused by sensor driven data shifts and other effects.
Keywords
ecology; environmental monitoring (geophysics); rivers; vegetation; vegetation mapping; Austrian/German border; Earth observation information; Salzach river floodplain; Salzachauen; biodiversity hotspots; conservation status; crucial ecological services; edge segments; hierarchical levels; multiannual/multiseasonal VHR data coverage; multitemporal VHR coverage; multitemporal WorldView-2 data; object-based image analysis; panchromatic bands; riparian forest habitats; segmentation; sensor driven data shifts; temporal stable core segments; textural homogeneous core segments; Image analysis; Image edge detection; Image segmentation; Remote sensing; Rivers; Sun; Vegetation; VHR optical satellite data; hierarchical segmentation; multitemporal composite; recording angle; viewing direction;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Conference_Location
Quebec City, QC
Type
conf
DOI
10.1109/IGARSS.2014.6946615
Filename
6946615
Link To Document