Remote sensing ground truth in snowy areas

森林监测对于评估全球环境变化十分重要，遥感是观测森林环境的有力工具。通常，监测森林状况的传统方法提供更准确和精确的结果。这一方法的一个明显缺点是，由于森林的广阔性质，很难获得大面积的数据。卫星遥感可最有效地用于监测这种大面积的森林地区。然而，要成功地利用该技术，还需要克服方法学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，以确定地面数据与卫星数据估计值之间的关系。树木遥感试验场位于Knazawa大学Kakuma校区的一个停车场周围。使用了大地卫星和便携式光谱仪的数据。利用便携式光谱仪测量了3种不同距离和尺度的树木光谱：1）单个树叶，2）从40 m距离处看到的部分树木，3）从直升机上看到的几种不同树木的混合物，并研究了在测量放大过程中数据的变化。在确定了地面数据和估计数之间的关系之后，将把这一模式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.