Skip to main content

Topographic effects on estimating net primary productivity of green coniferous forest in complex terrain using Landsat data: a case study of Yoshino Mountain, Japan

Buy Article:

$55.00 plus tax (Refund Policy)

In mountainous areas, irregular terrain significantly affects spatial variations of climatic variables and the reflectance of pixels in remote sensing imagery. Consequently, the variations may affect the estimation of net primary productivity (NPP). The light-use efficiency (LUE) model is used to analyse topographic influence on NPP by evaluating topographic effects on primary input data to the model, including both Normalized Difference Vegetation Index (NDVI) and climatic data. A typical green coniferous forest in Yoshino Mountain, Japan, was employed as the study area. The results show that the average NPP is significantly increased after removing topographic influences on NDVI; the average NPP has a relatively minimal change when only topographic effects on climatic data are considered. When both topographic effects on NDVI and climatic data are considered, the average NPP is 1.80 kg m-2 yr-1, which is very similar to the ground measurement result of 1.74 kg m-2 yr-1.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1: The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Liesmars, Wuhan, PR China 2: KYOUSEI Science Center for Life and Nature, Nara Women's University, Kitauoya-Nishi-Machi, Nara, Japan 3: Doshisya University, Karasuma-Higashi-iru, Imadegawa-dori, Kamigyo-ku, Kyoto City, Japan

Publication date: 2010-04-01

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more