Reducing landscape heterogeneity for improved land use and land cover (LULC) classification across the large and complex Ethiopian highlands     

Tibebu Kassawmar  Sandra Eckert  Kaspar Hurni  Gete Zeleke  Hans Hurni 《国际地球制图》2018,33(1):53-69

This paper presents a land use and land cover (LULC) classification approach that accounts landscape heterogeneity. We addressed this challenge by subdividing the study area into more homogeneous segments using several biophysical and socio-economic factors as well as spectral information. This was followed by unsupervised clustering within each homogeneous segment and supervised class assignment. Two classification schemes differing in their level of detail were successfully applied to four landscape types of distinct LULC composition. The resulting LULC map fulfills two major requirements: (1) differentiation and identification of several LULC classes that are of interest at the local, regional, and national scales, and (2) high accuracy of classification. The approach overcomes commonly encountered difficulties of classifying second-level classes in large and heterogeneous landscapes. The output of the study responds to the need for comprehensive LULC data to support ecosystem assessment, policy formulation, and decision-making towards sustainable land resources management.  相似文献   

Making more out of pixel-level change information: using a neighbourhood approach to improve land change characterization across large and heterogeneous areas     

Tibebu Kassawmar  K. S. R. Murty  Lemlem Abraha  Amare Bantider 《国际地球制图》2019,34(9):977-999

The paper demonstrates two issues; (i) how a ‘moving window approach’, that translates pixel level detected changes to landscape level, can be implemented; (ii) how the approach can overcome the limitations of pixel level change information to characterize change over large areas. First we detected changes from two periods (1986 and 2010) of LULC maps. On the pixel-based changes, we ran focal statistics summation operator separately for selected window sizes (1–10 km). Further, we assessed effect of scale in depicting the pattern and amount of change. The approach is found useful to overcome major shortfalls of pixel-based change characterization. However, varying scale of analysis provide varying amount of change and differently represent change patterns. Thus, implementing the approach over complex and large areas requires multi-scale approach. Subdividing complex and large areas into homogeneous zones can help to implement the multi-scale approach and facilitate the selection of appropriate scale of analysis.  相似文献   

Model parameter transfer for streamflow and sediment loss prediction with SWAT in a tropical watershed     

Vincent Roth  Tibebu Kassawmar Nigussie  Tatenda Lemann 《Environmental Earth Sciences》2016,75(19):1321

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