Title | A new vegetation index based on the universal pattern decomposition method |
Authors | Zhang, Lifu Furumi, S. Muramatsu, K. Fujiwara, N. Daigo, M. Zhang, Liangpei |
Affiliation | Wuhan Univ, Natl Key Lab Informat Engn Surveying Mapping & Re, Wuhan 430079, Peoples R China. Nara Womens Univ, Dept Informat & Comp Sci, Lab Nat Informat Sci, Nara 6308506, Japan. Nara Womens Univ, KYOUSEI Sci Ctr Life & Nat, Nara 6308506, Japan. Doshisha Univ, Dept Econ, Kyoto 6028580, Japan. Peking Univ, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China. |
Keywords | vegetation index hyperspectral data sensor-independent sensitivity analysis LEAF-AREA INDEX HYPERSPECTRAL DATA SENSOR SYSTEMS NOAA-AVHRR IMAGES MODIS TM REFLECTANCE BIOMASS EOS |
Issue Date | 2007 |
Publisher | 国际遥感杂志 |
Citation | INTERNATIONAL JOURNAL OF REMOTE SENSING.2007,28,(1-2),107-124. |
Abstract | This study examined a new vegetation index, based on the universal pattern decomposition method (VIUPD). The universal pattern decomposition method (UPDM) allows for sensor-independent spectral analysis. Each pixel is expressed as the linear sum of standard spectral patterns for water, vegetation and soil, with supplementary patterns included when necessary. Pattern decomposition coefficients for each pixel contain almost all the sensor-derived information, while having the benefit of sensor independence. The VIUPD is expressed as a linear sum of the pattern decomposition coefficients; thus, the VIUPD is a sensor-independent index. Here, the VIUPD was used to examine vegetation amounts and degree of terrestrial vegetation vigor; VIUPD results were compared with results by the normalized difference vegetation index (NDVI), an enhanced vegetation index (EVI) and a conventional vegetation index based on pattern decomposition (VIPD). The results showed that the VIUPD reflects vegetation and vegetation activity more sensitively than the NDVI and EVI. |
URI | http://hdl.handle.net/20.500.11897/156019 |
ISSN | 0143-1161 |
DOI | 10.1080/01431160600857402 |
Indexed | SCI(E) |
Appears in Collections: | 地球与空间科学学院 |