Spatial scaling of net primary productivity using subpixel landcover information

摘要：

Gridding the land surface into coarse homogeneous pixels may cause important biases on ecosystem model estimations of carbon budget components at local,regional and global scales.These biases result from overlooking subpixel variability of land surface characteristics.Vegetation heterogeneity is an important factor introducing biases in regional ecological modeling,especially when the modeling is made on large grids.This study suggests a simple algorithm that uses subpixel information on the spatial variability of land cover type to correct net primary productivity (NPP) estimates,made at coarse spatial resolutions where the land surface is considered as homogeneous within each pixel.The algorithm operates in such a way that NPP obtained from calculations made at coarse spatial resolutions are multiplied by simple functions that attempt to reproduce the effects of subpixel variability of land cover type on NPP.Its application to a carbon-hydrology coupled model(BEPS-TerrainLab model) estimates made at a 1-km resolution over a watershed (named Baohe River Basin) located in the southwestern part of Qinling Mountains,Shaanxi Province,China,improved estimates of average NPP as well as its spatial variability.

关键词： Remote sensing Net primary productivity spatial scaling landcover sub-pixel BEPS-TerrainLab model

作者: X.F.Chen Jing M.Chen Wei M.Ju L.L.Ren

作者单位: State Key Laboratory of Hydrology,water Resources and Hydraulic Engineering,Hohai University,Nanjing Department of Geography,University of Toronto,ON,Canada,M52 3G3 International Institute of Earth System Science,Nanjing University,Nanjing 210093,China State Key Laboratory of Hydrology,water Resources and Hydraulic Engineering,Hohai University,Nanjing

会议类型: 国际会议

会议名称: 第16届国际地理信息科学与技术大会(16th International Conference on GeoInformatics and the Joint Conference)

会议地点: 广州

会议语种:英文

在线出版日期: 2008-06-28（万方平台首次上网日期，不代表论文的发表时间）