Share Email Print

Proceedings Paper

Estimation and spatial character analysis of vegetation net primary productivity in Heilongjiang Province
Author(s): Weifang Wang; Yunbao Zang; Guochun Li
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Here we analyzed many kinds of Net primary productivity (NPP) calculating methods and chose the Monteith model based on the Light Utility Efficiency(LUE) to estimate the NPP value of Heilongjiang province in 2003. In this model, the NOAA/AVHRR data, climate data and eradiation data were used to calculate the NPP with the support of GIS technology. Then the spatial change of NPP was analyzed and the spatial map of NPP was drawn. The result showed that the mean value of NPP in the study area is 329.2gC / (m2·a). There is a consistent trend between the spatial distribution of NPP and temperature and rainfall. The NPP values of southeastern and central area are higher than that of western drought area and Daxingan Mountains because of their better humidity and heat. The NPP values of different vegetation have significant differences. They decrease in the sequence of forest, shrub, cropland and grassland. The NPP values have significantly positive correlation with mean annual temperature, rainfall and NDVI.

Paper Details

Date Published: 23 November 2011
PDF: 8 pages
Proc. SPIE 8006, MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 80060T (23 November 2011); doi: 10.1117/12.901875
Show Author Affiliations
Weifang Wang, Northeast Forestry Univ. (China)
Yunbao Zang, Northeast Forestry Univ. (China)
Guochun Li, Forestry Monitoring and Planning Institute of Heilongjiang Province (China)

Published in SPIE Proceedings Vol. 8006:
MIPPR 2011: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications
Faxiong Zhang; Faxiong Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top