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首页> 外文会议>ACRS 2011;Asian conference on remote sensing >NUT SPEICIES MAPPING FOR DETECTING THE HABITAT SUITABILITY AREA OF JAPANESE MACAQUES (Macaco fuscata)
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NUT SPEICIES MAPPING FOR DETECTING THE HABITAT SUITABILITY AREA OF JAPANESE MACAQUES (Macaco fuscata)

机译：坚果品种映射，用于确定日本猕猴（Macaco fuscata）的栖息地适宜性区域

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摘要

Crop damage by wild Japanese macaques is becoming an increasingly serious problem in Japan. The countermeasure of driving monkeys away from farmland to inner forest regions is currently an area of focus. However, when enforcing this measure, the environment where the troop can be established in inner forest regions is indispensable in order to avoid trespass upon farmland again. In this study, the nut species as a food resource were mapped to detect the habitat suitability area of Japanese macaques in inner forest regions. In mapping, after classifying vegetation regions approximately, the lower level classes were prepared in the specific upper level class, and the detailed classification was carried out in the lower level class. In the results, the nut species could be extracted from the remotely sensed data with a Kappa accuracy of 0.649. However, many broad-leaved deciduous forests other than the nut species were contained as an incorrect classification. Moreover, since there are few field survey points, the possibility that deviation arose in accuracy verification is high. It is necessary to acquire accurate training samples and test samples from the whole study area for the improvement in accuracy of the image classification.
机译：在日本，野生日本猕猴对农作物的损害正在成为一个日益严重的问题。当前，驱赶猴子离开农田到内林区的对策是一个重点领域。但是，在执行该措施时，为了避免再次侵入农田，必须在内部森林区域建立部队的环境是必不可少的。在这项研究中，将坚果种类作为食物资源进行了映射，以检测内陆森林地区日本猕猴的栖息地适宜性区域。在制图中，在对植被区域进行大致分类之后，在特定的较高级别类别中准备较低级别的类别，并在较低级别类别中进行详细的分类。结果是，可以从遥感数据中提取坚果种类，其Kappa精度为0.649。但是，除了坚果种类以外，还有许多阔叶落叶林被归为不正确的分类。此外，由于现场调查点少，因此在精度验证中产生偏差的可能性高。为了提高图像分类的准确性，有必要从整个研究区域获取准确的训练样本和测试样本。

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