Land degradation have caused decline in land productivity and triggering landslide incident in Bendo Watershed. This area has been selected as study area which represent characteristic upland area of the region. The research examines land capability analysis in order to reduce land degradation and disaster incidents and for sustainable use of land resources. The geomorphology approach was used along with sixteen of landform unit as unit sample. Further, artificial neural network models were used to classify land capabilities. Network architecture 10-8-1 was used on classification process due to the lowest error value factors. The findings of the study present that 20, 46% of Bendo watershed are prone to land degradation. Physical characteristic within area are contributing increasing land degradation. The capability classes of Bendo watershed ranges from class II to class VII. The upstream areas have erosion and intensive landslides as its limited factors, hence tend to have poo...

中文翻译：

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发展土地能力以减少Banyuwangi Bendo流域的土地退化和灾难事件

土地退化导致土地生产力下降，并引发本多流域发生滑坡事件。该区域已被选为代表该地区特征性高地区域的研究区域。该研究检查了土地能力分析，以减少土地退化和灾害事件以及土地资源的可持续利用。地貌方法与16个地貌单位一起用作单位样本。此外，人工神经网络模型被用来对土地能力进行分类。由于最低的误差值因素，在分类过程中使用了网络体系结构10-8-1。该研究的发现表明，本多流域中有20％到46％的土地易于退化。区域内的物理特征正在加剧土地退化。Bendo流域的能力等级范围从II级到VII级。上游地区有侵蚀和强烈的滑坡，这是其局限性因素，因此往往坡度较弱。