期刊文献+

利用MODIS数据计算陆地植被指数VIUPD 被引量:5

Calculation of the Terrestrial Vegetation Index VIUPD Using MODIS
下载PDF
导出
摘要 介绍了利用MODIS卫星数据计算VIUPD的步骤,将计算结果与NDVI和EVI进行了比较,验证了本文方法的正确性。 VIUPD is a new vegetation index based on the UPDM, which uses almost the whole vegetation information obtained by each sensor. It has been verified that the VIUPD is sensitively to reflect the amount of vegetation and the degree of vegetation vigor by using ground-measured data. This paper give an introduction of calculating the VIUPD, the results demonstrate that our conclusions are correct by comparing it with NDVI and EVI.
出处 《武汉大学学报(信息科学版)》 EI CSCD 北大核心 2005年第8期699-702,i0002,共5页 Geomatics and Information Science of Wuhan University
基金 国家973计划资助项目(2003CB415205) 国家自然科学基金资助项目(40471088) 日本宇宙航空开发研究机构(JAXA)ADEOS-II/GLI)资助项目 日本文部省学术振兴会资助项目。
关键词 高光谱遥感 MODIS 植被指数 VIUPD hyper spectral remote sensing MODIS vegetation index VIUPD
  • 相关文献

参考文献10

  • 1Jordan C F. Derivation of Leaf Area Index from Quality of Light on the Forest Floor. Ecology, 1969, 50:663~666.
  • 2Richardson A J, Wiegand C L. Distinguishing Vegetation from Soil Background Information. Photogrammetric Engineering and Remote Sensing, 1977, 43:1 541~1 552.
  • 3Clevers J G. The Application of a Weighted Infraredred Vegetation Index for Estimating Leaf Area Index by Correcting Soil Moisture. Remote Sensing of Environment, 1989, 29:25~37.
  • 4Huete A. A Soil Adjusted Vegetation Index (SAVI).Remote Sensing of Environment, 1988, 25:295~309.
  • 5Huete A, Justice C, Liu H. Development of Vegetation and Soil Indices for MODIS-EOS. Remote Sensing of Environment, 1994, 49:224~234.
  • 6Huete A, Didan K, Miura T, et al. Overview of the Radiometric and Biophysical Performance of the MODIS Vegetation Indices. Remote Sensing of Environment, 2002, 83:195~213.
  • 7张立福,张良培,村松加奈子,藤原昇.基于高光谱卫星遥感数据的UPDM分析方法[J].武汉大学学报(信息科学版),2005,30(3):264-268. 被引量:5
  • 8Daigo M, Ono A, Fujiwara N, et al. Pattern Decomposition Method for Hyper-multi-spectral Data Analysis. International Journal of Remote Sensing, 2004,25(6): 1 153~1 166.
  • 9中国科学院.2002年中国天文年历[M].北京:科学出版社,2001..
  • 10Joachim H, Boris S. Radiometric Correction of Multitemporal Thematic Mapper Data for Use in Agricultural Land-cover Classification and Vegetation Moni toring. International Journal of Remote Sensing,1991, 12(7): 1 471~1 491.

二级参考文献6

  • 1Muramatsu K, Furumi S, Fujiwara N, et al. Pattern Decomposition Method in the Albedo Space for Landsat TM and MSS Data Analysis. International Journal of Remote Sensing, 1996, 21(1):99~119.
  • 2Daigo M, Ono A, Fujiwara N, et al. Pattern Decomposition Method for Hyper-multi-spectral Data Analysis. International Journal of Remote Sensing, 2004, 25(6): 1 153~1 166.
  • 3Furumi S, Hayashi A, Murumatsu K, et al. Relation Between Vegetation Vigor and New Vegetation Index Based on Pattern Decomposition Method. Journal of Remote Sensing Society of Japan, 1998, 18(3):17~34.
  • 4Hayashi A, Muramatsu K, Furumi S, et al. An Algorithm and a New Vegetation Index for ADEOS-II/GLI Data Analysis. Journal of Remote Sensing Society of Japan, 1998, 18(2):28~50.
  • 5Adams J B, Sabol D E, Kapos V, et al. Classification of Multispectral Images Based on Fractions of Endmembers: Application to Land-Cover Change in the Brazilian Amazon. Remote Sensing of Environment, 1995(52):137~154.
  • 6Fujiwara N, Muramatsu K, Awa S, et al. Pattern Expansion Method for Satellite Data Analysis. Journal of Remote Sensing Society of Japan, 1996, 17(3): 17~37(In Japanese).

共引文献4

同被引文献97

引证文献5

二级引证文献29

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部