A Texture-based land cover classification for the delineation of a shifting cultivation landscape in the Lao PDR using landscape metrics

Hurni, Kaspar; Hett, Corelia; Epprecht, Michael; Messerli, Peter; Heinimann, Andreas (2013). A Texture-based land cover classification for the delineation of a shifting cultivation landscape in the Lao PDR using landscape metrics. Remote sensing, 5(7), pp. 3377-3396. Molecular Diversity Preservation International MDPI 10.3390/rs5073377

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The delineation of shifting cultivation landscapes using remote sensing in mountainous regions is challenging. On the one hand, there are difficulties related to the distinction of forest and fallow forest classes as occurring in a shifting cultivation landscape in mountainous regions. On the other hand, the dynamic nature of the shifting cultivation system poses problems to the delineation of landscapes where shifting cultivation occurs. We present a two-step approach based on an object-oriented classification of Advanced Land Observing Satellite, Advanced Visible and Near-Infrared Spectrometer (ALOS AVNIR) and Panchromatic Remote-sensing Instrument for Stereo Mapping (ALOS PRISM) data and landscape metrics. When including texture measures in the object-oriented classification, the accuracy of forest and fallow forest classes could be increased substantially. Based on such a classification, landscape metrics in the form of land cover class ratios enabled the identification of crop-fallow rotation characteristics of the shifting cultivation land use practice. By classifying and combining these landscape metrics, shifting cultivation landscapes could be delineated using a single land cover dataset.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Geography > Integrative Geography > Unit Geography of Sustainable Development
08 Faculty of Science > Institute of Geography
08 Faculty of Science > Institute of Geography > NCCR North-South Management Centre (discontinued)
10 Strategic Research Centers > Centre for Development and Environment (CDE)

UniBE Contributor:

Hurni, Kaspar; Epprecht, Michael; Messerli, Peter and Heinimann, Andreas

Subjects:

300 Social sciences, sociology & anthropology > 330 Economics

ISSN:

2072-4292

Publisher:

Molecular Diversity Preservation International MDPI

Language:

English

Submitter:

Users 124 not found.

Date Deposited:

02 May 2014 11:22

Last Modified:

04 Nov 2015 15:48

Publisher DOI:

10.3390/rs5073377

Uncontrolled Keywords:

shifting cultivation, landscape metrics, remote sensing, image segmentation, texture

BORIS DOI:

10.7892/boris.46568

URI:

https://boris.unibe.ch/id/eprint/46568

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