中国农业气象
中國農業氣象
중국농업기상
AGRICULTURAL METEOROLOGY
2009年
4期
591-595
,共5页
光能利用率%NOAA18%NDVI%北京%时空格局
光能利用率%NOAA18%NDVI%北京%時空格跼
광능이용솔%NOAA18%NDVI%북경%시공격국
Light utilization efficiency%N0AA18%NDVI%Beijing%Spatiotemporal distribution
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.
以NOAA衛星數據為基礎,建立瞭利用RS和GIS技術估算光能利用率的一種新方法.併以北京地區為例,利用2007年的NOAA18 1B衛星資料和20箇氣象站點的數據,研究瞭北京地區植被光能利用率及其時空格跼,併分析瞭NDVI與光能利用率的關繫.結果錶明:利用NOAA18衛星資料能較好地估算北京地區植被光能利用率;北京地區植被的年光能利用率為0.04%~1.06%,平均為0.57%,年最大值為2.83%;落葉闊葉林的光能利用率為0.74%,灌叢為0.51%,農田為0.50%;光能利用率的高值區主要分佈在北部山區森林,低值區分佈于城區;四季的光能利用率變化明顯,春夏鞦鼕季分彆為0.31%、1.37%、0.49%和0.04%;利用年NDVI最大值可以較好地模擬年光能利用率.
이NOAA위성수거위기출,건립료이용RS화GIS기술고산광능이용솔적일충신방법.병이북경지구위례,이용2007년적NOAA18 1B위성자료화20개기상참점적수거,연구료북경지구식피광능이용솔급기시공격국,병분석료NDVI여광능이용솔적관계.결과표명:이용NOAA18위성자료능교호지고산북경지구식피광능이용솔;북경지구식피적년광능이용솔위0.04%~1.06%,평균위0.57%,년최대치위2.83%;락협활협림적광능이용솔위0.74%,관총위0.51%,농전위0.50%;광능이용솔적고치구주요분포재북부산구삼림,저치구분포우성구;사계적광능이용솔변화명현,춘하추동계분별위0.31%、1.37%、0.49%화0.04%;이용년NDVI최대치가이교호지모의년광능이용솔.
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.