Unveiling Undercover Cropland Inside Forests Using Landscape Variables: A Supplement to Remote Sensing Image Classification

作者: Yohannes Ayanu , Christopher Conrad , Anke Jentsch , Thomas Koellner

DOI: 10.1371/JOURNAL.PONE.0130079

关键词: GeographyAgroforestryAgricultureClearingSustainable managementNational parkEcologyForest ecologyLand useEcosystem servicesLand coverGeneral Biochemistry, Genetics and Molecular BiologyGeneral Agricultural and Biological SciencesGeneral Medicine

摘要: The worldwide demand for food has been increasing due to the rapidly growing global population, and agricultural lands have increased in extent produce more crops. pattern of cropland varies among different regions depending on traditional knowledge farmers availability uncultivated land. Satellite images can be used map open areas but limitations detecting undergrowth inside forests. Classification results are often biased need supplemented with field observations. Undercover forests Bale Mountains Ethiopia was assessed using observed percentage cover land use/land classes, topographic location parameters. most influential factors were identified Boosted Regression Trees undercover area. Elevation, slope, easterly aspect, distance settlements, national park found determining When there is very high crops, constrained under restricted rights clearing forest, cultivation could take place within as an undercover. Further research impact ecosystem services challenges sustainable management thus essential.

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