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基于NOAA卫星数据的北京植被光能利用率及其时空格局
引用本文:刘勇洪,高燕虎,权维俊.基于NOAA卫星数据的北京植被光能利用率及其时空格局[J].中国农业气象,2009,30(4):591-595.
作者姓名:刘勇洪  高燕虎  权维俊
作者单位:北京市气象局气候中心,北京,100089
基金项目:北京区域气象中心创新基金(BRMCCJ200710)"华北区域陆地净初级生产力的遥感估算" 
摘    要:以NOAA卫星数据为基础,建立了利用RS和GIS技术估算光能利用率的一种新方法。并以北京地区为例,利用2007年的NOAA18 1B卫星资料和20个气象站点的数据,研究了北京地区植被光能利用率及其时空格局,并分析了NDVI与光能利用率的关系。结果表明:利用NOAA18卫星资料能较好地估算北京地区植被光能利用率;北京地区植被的年光能利用率为0.04%-1.06%,平均为0.57%,年最大值为2.83%;落叶阔叶林的光能利用率为0.74%,灌丛为0.51%,农田为0.50%;光能利用率的高值区主要分布在北部山区森林,低值区分布于城区;四季的光能利用率变化明显,春夏秋冬季分别为0.31%、1.37%、0.49%和0.04%;利用年NDVI最大值可以较好地模拟年光能利用率。

关 键 词:光能利用率  NOAA18  NDVI  北京  时空格局

Estimation of Light Utilization Efficiency and Spatiotemporal Distribution in Beijing Based on NOAA Satellite Data
LIU Yong-hong,GAO Yan-hu,QUAN Wei-jun.Estimation of Light Utilization Efficiency and Spatiotemporal Distribution in Beijing Based on NOAA Satellite Data[J].Chinese Journal of Agrometeorology,2009,30(4):591-595.
Authors:LIU Yong-hong  GAO Yan-hu  QUAN Wei-jun
Institution:(Climate Centre, Beijing Meteorological Bureau, Beijing 100089, China)
Abstract:A new method was developed to estimate light utilization efficiency (LUE) with RS and GIS technologies based on NOAA satellite data. LUE of vegetation and its spatiotemporal distribution in Beijing were estimated with this new method by using NOAA18 1B satellite data and weather data from 20 weather stations in 2007. The relationship between LUE and NDVI were analyzed. The results showed that the LUE was estimated well using NOAA18 satellite data. The annual average LUE of Beijing was between 0.04% and 1.06 % , spatial average value was 0. 57% and the maximum LUE was 2.83% . The LUE of deciduous broadleaf forest area was 0.74% , brushwood area was 0.51 % and cropland was 0.50% . The higher LUE values were in north mountainous forest area, and the lower LUE values were in urban area. The seasonal change of LUE was obvious. The average value of LUE in spring, summer, autumn and winter were 0.31% , 1.37% , 0.49% and 0.04% respectively. Results indicated that the annual average LUE could be simulated well using the maximum value of NDVI of the year.
Keywords:NOAA18  NDVI
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