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The main methodological approach implemented to map the complex landscapes of Ethiopia at the required scales for the WLRC land use layer was the majority and minority concept of landscape segregation that translated into the HICU-based mapping (Homogenous Image Classification Units). The employment of such an ‘exclusion-based’ approach (e.g. sub-setting of the Landsat imagery and gradually reducing the minorities/majorities) can be considered as a breakthrough in deriving important land cover information in heterogeneous landscapes, such as the rainfed agricultural area of Ethiopia. This approach made it possible to distinguish cultivated land from other land use or land cover classes. Extensive fieldwork was neededd to distinguish different land use within a homogenous land cover class. |
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The main methodological approach implemented to map the complex landscapes of Ethiopia at the required scales for the WLRC land use layer was the majority and minority concept of landscape segregation that translated into the HICU-based mapping (Homogenous Image Classification Units). The employment of such an ‘exclusion-based’ approach (e.g. sub-setting of the Landsat imagery and gradually reducing the minorities/majorities) can be considered as a breakthrough in deriving important land cover information in heterogeneous landscapes, such as the rainfed agricultural area of Ethiopia. This approach made it possible to distinguish cultivated land from other land use or land cover classes. Extensive fieldwork was neededd to distinguish different land use within a homogenous land cover class. |
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Tibebu Kassawmar, Sandra Eckert, Kaspar Hurni, Gete Zeleke & Hans Hurni (2016): Reducing landscape heterogeneity for improved land use and land cover (LULC) classification across the large and complex Ethiopian highlands, Geocarto International, DOI: 0.1080/10106049.2016.1222637 |
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<DIV STYLE="text-align:Left;"><P><SPAN STYLE="font-weight:bold;">etna</SPAN><SPAN STYLE="font-weight:bold;">lst8wlrcl</SPAN><SPAN STYLE="font-weight:bold;">use</SPAN><SPAN STYLE="font-weight:bold;">2016webm</SPAN><SPAN STYLE="font-weight:bold;">.</SPAN><SPAN STYLE="font-weight:bold;">tif</SPAN></P><P><SPAN STYLE="font-weight:bold;">etna: </SPAN><SPAN>National Dataset Ethiopia</SPAN></P><P><SPAN STYLE="font-weight:bold;">lst8</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN>Landsa</SPAN><SPAN>t</SPAN><SPAN>8 sensor</SPAN></P><P><SPAN STYLE="font-weight:bold;">wlrc</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN>Water and Land Resources Centre</SPAN></P><P><SPAN STYLE="font-weight:bold;">l</SPAN><SPAN STYLE="font-weight:bold;">use</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN>land cover</SPAN></P><P><SPAN STYLE="font-weight:bold;">201</SPAN><SPAN STYLE="font-weight:bold;">6</SPAN><SPAN STYLE="font-weight:bold;">: </SPAN><SPAN>Year of observation</SPAN></P><P><SPAN STYLE="font-weight:bold;">webm: </SPAN><SPAN>WebMercator projection</SPAN></P></DIV> |
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etnalst8wlrcluse2016webm.tif |
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["Ethiopia","land use","modelling","land scape","vegetation","forest"] |
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de-CH |
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150000000 |
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