基于MODIS数据的草地生物量估算模型比较

被引:32
作者
渠翠平 [1 ,2 ]
关德新 [1 ]
王安志 [1 ]
金昌杰 [1 ]
倪攀 [1 ,2 ]
袁凤辉 [1 ,2 ]
张晓静 [1 ,2 ]
机构
[1] 中国科学院沈阳应用生态研究所
[2] 中国科学院研究生院
关键词
MODIS; 植被指数; 草地; 生物量; 遥感模型; 科尔沁左翼后旗;
D O I
10.13292/j.1000-4890.2008.0373
中图分类号
S812 [草地学、草原学];
学科分类号
090503 ; 0909 ;
摘要
准确估算草地生物量对合理规划区域畜牧业、评估草地植被的生态效益有重要意义。目前,在常用的遥感估算模型中,采用的植被指数和模型函数形式多样。本文根据野外生物量调查结果和MODIS数据,分别采用归一化植被指数(NDVI)、增强植被指数(EVI)和修正的土壤调节植被指数(MSAVI)建立了内蒙古科尔沁左翼后旗草地地上生物量和地上地下总生物量估测的3种(线性、乘幂和指数)模型,并进行了比较。结果表明:3种模型能够对草地生物量进行较好的模拟,其中指数模型效果最佳;3个植被指数(NDVI,EVI和MSAVI)与草地生物量均有较高的相关性,可用于该草地产量估测,其中MSAVI对地上生物量拟合效果最好(R2=0.900);NDVI和EVI的线性模型对总生物量的模拟明显好于对地上生物量的模拟。
引用
收藏
页码:2028 / 2032
页数:5
相关论文
共 35 条
[1]   草地地下生物量研究综述 [J].
孙力安 ;
梁一民 ;
刘国彬 .
国外畜牧学草原与牧草., 1993, (01) :6-13
[2]  
Development of vegetation and soil indices for MODIS-EOS. Huete,A. C.,Justice,C.,Liu,H. Remote Sensing of Environment . 1994
[3]   Simulating root responses to grazing of a Mongolian grassland ecosystem [J].
Chen, Yuxiang ;
Lee, Pilzae ;
Lee, Gilzae ;
Mariko, Shigeru ;
Oikawa, Takehisa .
PLANT ECOLOGY, 2006, 183 (02) :265-275
[4]   Improvements of the MODIS terrestrial gross and net primary production global data set [J].
Zhao, MS ;
Heinsch, FA ;
Nemani, RR ;
Running, SW .
REMOTE SENSING OF ENVIRONMENT, 2005, 95 (02) :164-176
[5]  
Overview of the radiometric and biophysical performance of the MODIS vegetation indices[J] . A Huete,K Didan,T Miura,E.P Rodriguez,X Gao,L.G Ferreira. &nbspRemote Sensing of Environment . 2002 (1)
[6]   Belowground primary production by carbon isotope decay and longterm root biomass dynamics [J].
Milchunas, DG ;
Lauenroth, WK .
ECOSYSTEMS, 2001, 4 (02) :139-150
[7]  
Satellite monitoring of desert plant community response to moisture availability[J] . A. J. Peters,M. D. Eve. &nbspEnvironmental Monitoring and Assessment . 1995 (1)
[8]   TERRESTRIAL REMOTE-SENSING SCIENCE AND ALGORITHMS PLANNED FOR EOS MODIS [J].
RUNNING, SW ;
JUSTICE, CO ;
SALOMONSON, V ;
HALL, D ;
BARKER, J ;
KAUFMANN, YJ ;
STRAHLER, AH ;
HUETE, AR ;
MULLER, JP ;
VANDERBILT, V ;
WAN, ZM ;
TEILLET, P ;
CARNEGGIE, D .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1994, 15 (17) :3587-3620
[9]  
Evaluation andcomparison of gross primary production estimates for thenorthern Great Plains grasslands. Zhang L,Wylie B,Loveland T,et al. Remote Sensing ofEnvi-ronment . 2007
[10]  
Developing a conti-nental-scale measure of gross primary production by combi-ning MODIS and Ameriflux data through Support VectorMachine approach. Yang L,Ichii K,White MA,et al. Remote Sensing ofEnvironment . 2007