Analysis of landscape configurations for enhancement of biodiversity in Yatsuda landscapes

本项目的目的是确定和分析最能支持高水平生物多样性的乡村景观配置。在这个过程中的第一步是建立一个方法，精确而有效的分析的八津山谷，这是一个典型的农村景观的南关东地区的景观配置。为此，利用了地理信息系统和高分辨率卫星成像数据。其次，通过实地调查数据与遥感数据的相关性分析，分析了各种景观结构与关键两栖动物物种分布的关系。作为这项研究的结果，遥感使用LANDSAT ETM数据被认为是一个可行的方法来分析土地覆盖。来自四个不同季节的数据被合并成一个合成图像，该图像被证明非常能够准确区分各种土地覆盖类型。此外，高分辨率IKONOS数据被认为是有效的识别微植被斑块在城市化和半城市化地区。通过这些试验，证实遥感数据能够查明和分析作为野生动物生境具有高价值的地区。在此基础上，各种青蛙的栖息地要求，以及最好地满足这些要求的景观配置，确定。从我们的经验来看，显然，遥感数据与实地研究相结合，作为有效和精确地管理区域生态系统和生物多样性的工具，大有希望。

The aim of this project is to identify and analyze the countryside landscape configurations which best support a high level of biodiversity. The first step in this process was to establish a method for precise but efficient analysis of landscape configurations in the Yatsu valleys, which are a typical countryside landscape of the South Kanto Region. To accomplish this, GIS and high resolution satellite imaging data were utilized. Next, the relationship among various landscape configurations and the distribution of key amphibian species was analyzed by correlating field data with the results of the remote sensing data. As a result of this research, remote sensing using LANDSAT ETM data was found to be a viable methodology for analyzing land cover. Data from four separate seasons were combined into a composite image which proved extremely capable of accurately distinguishing among various land cover types. In addition, high resolution IKONOS data was found to be effective for identifying micro vegetation patches in urbanized and semi-urbanized areas. From these trails, it was confirmed that remote sensing data is capable of identifying and analyzing areas that show high value as wildlife habitats. Based on this results, the habitat requirements of various species of frogs, as well as the landscape configurations which best meet these requirements, were identified. From our experience, it is clear that remote sensing data combined with field studies shows great promise as a tool for efficient and precise management of regional ecosystems and biodiversity.