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Library Object-based gully feature extraction using high spatial resolution imagery

Object-based gully feature extraction using high spatial resolution imagery

Object-based gully feature extraction using high spatial resolution imagery

Resource information

Date of publication
december 2011
Resource Language
ISBN / Resource ID
AGRIS:US201500209035
Pages
260-268

Gully erosion is responsible for a substantial amount of soil loss and is generally considered an indicator of desertification. Hence, mapping these gully features provides essential information needed on sediment production, identification of vulnerable areas for gully formation, land degradation, and environmental and socio-economical effects. This paper investigates the use of object-oriented image analysis (OOA) to extract gully erosion features from satellite imagery, using a combination of topographic, spectral, shape (geometric) and contextual information obtained from IKONOS and GEOEYE-1 data. A rule-set was developed and tested for a semi-arid to sub-humid region in Morocco. The percentage of gully system area indicated negligible overestimations between the reference area and the OOA area in two sub-watersheds (0.03% and 1.77%). We also observed that finer gully-related edges within the complex gully systems were better identified semi-automatically than was possible by manual digitization, suggesting higher detection accuracy. OOA-based gully mapping is quicker and more objective than traditional methods, and is thus better suited to provide essential information for land managers to support their decision making processes, and for the erosion research community.

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Authors and Publishers

Author(s), editor(s), contributor(s)

Shruthi, Rajesh B.V.
Kerle, Norman
Jetten, Victor

Publisher(s)
Data Provider
Geographical focus