Remote sensing ground truth in snowy areas

雪区遥感地面实况

基本信息

批准号：
10450158
负责人：
MURAMOTO Ken-ichiro
金额：
$ 3.07万
依托单位：
Kanazawa University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

项目摘要

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.

森林监测对于评估全球环境变化很重要，遥感是观察森林环境的强大工具。通常，监测森林条件的传统方式可提供更准确和精确的结果。这种方法的一个明显缺点是，由于森林的广泛本质，很难获得大面积的数据。卫星遥感最有效地用于监测如此大的森林区域。但是，方法论和准确性问题都需要成功地利用该技术。因此，强调在应用遥感技术时现场工作仍然是必不可少的。为了实现项目目标，该实验旨在确定地面数据与卫星数据估算之间的关系。遥感树木的测试地点位于卡库玛校园的Knazawa大学的一个停车场附近。使用了Landsat和便携式光谱仪的数据。我们使用便携式光谱仪在三个不同的距离和尺度上测量了树木的光谱：1）单个叶子，2）从40 m的距离中看到的一部分树的一部分，3）从直升机中看到的几棵不同树的混合物，并研究了数据在测量范围内如何变化。将构建一个模型，以估算从卫星数据中估算蔬菜覆盖范围。确定地面数据与估计值之间的关系后，该模型将应用于日本的广泛地区。