JpGU-AGU Joint Meeting 2017

講演情報

[JJ] ポスター発表

セッション記号 H (地球人間圏科学) » H-TT 計測技術・研究手法

[H-TT24] [JJ] 環境リモートセンシング

2017年5月22日(月) 15:30 〜 17:00 ポスター会場 (国際展示場 7ホール)

コンビーナ:石内 鉄平(明石工業高等専門学校)、島崎 彦人(独立行政法人国立高等専門学校機構 木更津工業高等専門学校)、長谷川 均(国士舘大学文学部地理学教室)、近藤 昭彦(千葉大学環境リモートセンシング研究センター)

[HTT24-P02] リモートセンシングを用いた森林に於ける樹木の被覆面積の推定

*伊藤 亜珠希1吹田 智紀1岸 里名子1鎌田 航毅1村橋 究理基2川瀬 陽平3Lahrita Lucy3川俣 大志1,4成瀬 延康5高橋 幸弘1,2 (1.北海道大学グローバルサイエンスキャンパス、2.北海道大学大学院理学研究院、3.北海道大学大学院農学研究院、4.北海道大学高等教育推進機構、5.滋賀医科大学)

キーワード:リモートセンシング、ブナ、森林、被覆面積

Forest occupies important position for global environment. Especially, trees in forest play major role for fixing carbon dioxide, leading to deceleration of global warming. In our knowledge, the covered area with tree in forest is evaluated by the cost- and time- consuming method such as aircrafts, high resolution satellite images, and field survey. Alternative inexpensive method covering the wide area is issue of interest. Here, we propose the method which combines the new index R described below with low-resolution Landsat 7 remote sensing, applying to branches of trees on mountainous areas covered with snow because it’s easy there to distinguish between vegetation and non-vegetation. Figure displays two new index R= (band1(4)-band5)/(band1(4) +band5) and normalized difference vegetation index (NDVI) in varying the ratio of branches to snow in a pixel. As to the reflectance spectra of branch, Beech (that is a deciduous broad-leaved tree and widely distributes in Japan) is adopted as the model species.
Both slopes of our new indexes Rs have more steep than conventional index, NDVI, which means the formers are more sensitive than the latter.
Following these results, we would examine other indexes using other wavebands. Our final goal of this study is to establish the most effective index to estimate quantity of trees by satellite remote sensing. The detail will be shown in the presentation.