An automated method for mapping physical soil and water conservation structures on cultivated land using GIS and remote sensing techniques

Mekuriaw, Asnake; Heinimann, Andreas; Hurni, Hans; Hurni, Kaspar (2017). An automated method for mapping physical soil and water conservation structures on cultivated land using GIS and remote sensing techniques. Journal of geographical sciences, 27(1), pp. 79-94. Springer 10.1007/s11442-017-1365-9

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An efficient and reliable automated model that can map physical Soil and Water Conservation (SWC) structures on cultivated land was developed using very high spatial resolution imagery obtained from Google Earth and ArcGIS, ERDAS IMAGINE, and SDC Morphology Toolbox for MATLAB and statistical techniques. The model was developed using the following procedures: (1) a high-pass spatial filter algorithm was applied to detect linear features, (2) morphological processing was used to remove unwanted linear features, (3) the raster format was vectorized, (4) the vectorized linear features were split per hectare (ha) and each line was then classified according to its compass direction, and (5) the sum of all vector lengths per class of direction per ha was calculated. Finally, the direction class with the greatest length was selected from each ha to predict the physical SWC structures. The model was calibrated and validated on the Ethiopian Highlands. The model correctly mapped 80% of the existing structures. The developed model was then tested at different sites with different topography. The results show that the developed model is feasible for automated mapping of physical SWC structures. Therefore, the model is useful for predicting and mapping physical SWC structures areas across diverse areas.

Item Type:

Journal Article (Original Article)

Division/Institute:

08 Faculty of Science > Institute of Geography
10 Strategic Research Centers > Centre for Development and Environment (CDE)

UniBE Contributor:

Heinimann, Andreas; Hurni, Hans and Hurni, Kaspar

ISSN:

1009-637X

Publisher:

Springer

Language:

English

Submitter:

Stephan Schmidt

Date Deposited:

21 Jan 2016 11:12

Last Modified:

12 Mar 2018 12:52

Publisher DOI:

10.1007/s11442-017-1365-9

BORIS DOI:

10.7892/boris.75214

URI:

https://boris.unibe.ch/id/eprint/75214

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