Remote sensing ground truth in snowy areas

森林监测对评估全球环境变化具有重要意义，而遥感是森林环境观测的有力工具。通常监测森林状况的传统方法提供更准确和精确的结果。这种方法的一个明显缺点是，由于森林的巨大性质，很难获得大面积的数据。卫星遥感可以最有效地应用于监测如此大面积的森林地区。然而，要成功地利用该技术，还需要克服方法和准确性方面的问题。因此，强调在应用遥感技术时，实地工作仍然是必不可少的。为了实现项目目标，设计了实验来确定地面数据与卫星数据估算之间的关系。树木遥感试验场位于花泽大学卡库马校区停车场附近。数据来自Landsat和便携式光谱仪。我们使用便携式光谱仪测量了三种不同距离和尺度下的树木光谱：1)单个叶子，2)从40米距离看到的树木的一部分，3)从直升机上看到的几种不同树木的混合物，并研究了数据在放大测量过程中的变化情况。将建立一个模型，根据卫星数据估计植被覆盖率。在确定地面数据与估算之间的关系后，该模型将应用于日本的广大地区。

Forest monitoring is important to assess global environmental changes, and remote sensing is a powerful tool for observing the forest environment. Usually the traditional way of monitoring the conditions of forests provides more accurate and precise results. An obvious disadvantage of this method is that because of the vast nature of forests, data over large areas is difficult to obtain. Satellite remote sensing can be applied most effectively in monitoring such large forested areas. However, there are problems in methodology and accuracy to overcome for the technique to be utilized successfully. Therefore, it is emphasized that field work remains essential when applying remote sensing techniques.To achieve the project goal, the experiment was designed to determine the relationship between ground data and the estimate from satellite data. Test site for remote sensing of trees was located around a parking lot at Knazawa University, Kakuma Campus. Data from Landsat and a portable spectrometer was used. We measured the spectra of trees at three different distances and scales using a portable spectrometer : 1) individual leaves, 2) part of a tree seen from a distance of 40 m, 3) mixture of several different trees seen from a helicopter, and investigated how the data changes during the scaling up of the measurement.A model will be constructed to estimate vegetation coverage from satellite data. After determination of the relationship between ground data and the estimates, this model will be applied to wide areas of Japan.