OBIA-based Monitoring of Riparian Vegetation Applied to the Identification of Degraded Acacia Xanthophloea along Lake Nakuru, Kenya.
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Date
2018
Journal Title
Journal ISSN
Volume Title
Publisher
HAL Open Science
Abstract
The Lake Nakuru (Kenya) faces flooding since 2010, thus interfering with the
growth of riparian vegetation, and requiring automated image analysis to monitor the effect of
flooding on the Lake Nakuru Riparian Reserve vegetation species. The vegetation specie that
was affected by the flooding lake is Acacia Xanthophloea, i.e. a habitat and feed for many
animal species within the National Park. In this study, we explore how an OBIA methodology
can provide riparian vegetation classification, thus easing the detection of degraded Acacia
Xanthophloea spp. Our study shows that: i) from a thematic point of view, GEOBIA was able
to identify Acacia Xanthophloea from Landsat satellite imagery, and comparing the resulting
classification maps allows us to achieve monitoring of this specie through time; ii) from a
software point of view, it might be necessary to involve several different tools (both proprietary
or open source) since there is still some missing functionalities in the existing GEOBIA
software solutions.
Description
Keywords
Remote sensing, OBIA, Change detection, Vegetation Monitoring, Landsat Imageries, Thematic classification
Citation
Osio, A., Lefèvre, S., Ogao, P., & Ayugi, S. (2018, June). OBIA-based Monitoring of Riparian Vegetation Applied to the Identification of Degraded Acacia Xanthophloea along Lake Nakuru, Kenya. In GEOBIA 2018-From pixels to ecosystems and global sustainability (pp. 18-22).