衛星データと数値標高モデル(DEM)を用いた潜在的ササ分布図の作成 Mapping the Potential Distribution of Dwarf Bamboo Using Satellite Imagery and DEM

この論文にアクセスする

この論文をさがす

著者

抄録

In recent years, various models were developed to evaluate forest ecosystem productivity. Leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) are key parameters in these models. Remotely sensed data is used to identify these parameters. However, these parameters derived from remotely sensed data have been treated as that of forest canopy. Understory plant, especially dwarf bamboo, plays an important role to the carbon balance in a cool-temperate forest ecosystem. Understanding the areas included the effect of dwarf bamboo is therefore needed for precise evaluation of forest ecosystem productivities using remotely sensed data. Logistic regression model based on the knowledge of ecological research was applied to the mapping of the distribution of dwarf bamboo using satellite remotely sensed data and digital elevation model (DEM). Light condition on the forest floor is the main factor affecting dwarf bamboo. In this study, relative direct solar radiation, NDVI in leaf constant period and difference in NDVI between pre- and post-leaf fall period were valid parameters for mapping the distribution of dwarf bamboo. The logistic regression model developed by this study indicated an overall accuracy of 86.11%.

収録刊行物

  • 日本リモートセンシング学会誌 = Journal of the Remote Sensing Society of Japan  

    日本リモートセンシング学会誌 = Journal of the Remote Sensing Society of Japan 28(1), 28-35, 2008-01-31 

    The Remote Sensing Society of Japan

参考文献:  19件

参考文献を見るにはログインが必要です。ユーザIDをお持ちでない方は新規登録してください。

被引用文献:  1件

被引用文献を見るにはログインが必要です。ユーザIDをお持ちでない方は新規登録してください。

各種コード

  • NII論文ID(NAID)
    10021141771
  • NII書誌ID(NCID)
    AN10035665
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    02897911
  • NDL 記事登録ID
    9378732
  • NDL 雑誌分類
    ZM15(科学技術--科学技術一般--測定・測定器)
  • NDL 請求記号
    Z14-1022
  • データ提供元
    CJP書誌  CJP引用  NDL  J-STAGE 
ページトップへ