NOAA/NDVI 10日間コンポジット画像による積雪および消雪時期の評価

概要

論文の詳細を見る
Snow affects positively to water resources by adding itself when melted. On the other hand, it has negative effects to agriculture and forestry, and causes disasters such as the avalanche. Whatsoever, it is an important factor of the ecosystem and climate. Especially, when it comes to the alpine vegetation in Japan, which is a smaller but important percentage of natural vegetation, snow is deeply related to the ecosystem of the same. Therefore, it becomes necessary to monitor the snow condition accurately. The remote sensing technique is an effective tool in order to estimate the snow cover at synoptic scale. In this paper, a method for estimating the snow cover in Japan is proposed using 10 days NDVI composite images and AMeDAS data set. It is found that the proposed method could effectively estimate snow cover in Japan. The estimation by the proposed method is based on the consideration of existing land cover types. Furthermore, map of areas where snow has completely melted is also developed from the proposed method.
生態工学会の論文