Share Email Print
cover

Proceedings Paper

Vegetation phenology from multi-temporal EOS MODIS data
Author(s): Xinfang Yu; Dafang Zhuang; Siqing Chen; Xiyong Hou; Hua Chen
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Vegetation phenology is an important variable in a wide variety of Earth and atmospheric science applications. The role of remote sensing in phenological studies is increasingly regarded as a key to understanding large area seasonal phenomena. This paper describes the application of Moderate Resolution Imaging Spectroradiometer (MODIS) time series data for forest phenology analysis. The phenology of forest covering Northeast China and its spatial characteristics were investigated using MODIS normalized difference vegetation index (NDVI) data. Threshold-based method was used to estimate three key forest phenological variables: start of growing season (SOS), end of growing season (EOS) and the growing season length (GSL). The spatial pattern of key phenological stages were mapped and analyzed. The derived phenological variables were validated by referring to previous research achievements in this study area. The phenological pattern of Changbaishan Reserve was compared with the distribution of forest types. Results indicate that spatial characteristics of vegetation phenology are corresponding with the distribution of vegetation types and the phenology information can be used to improve vegetation classification accuracy as an auxiliary variable.

Paper Details

Date Published: 15 September 2004
PDF: 9 pages
Proc. SPIE 5549, Weather and Environmental Satellites, (15 September 2004); doi: 10.1117/12.560250
Show Author Affiliations
Xinfang Yu, Institute of Geographic Sciences and Natural Resources Research, CAS (China)
Graduate School, CAS (China)
Dafang Zhuang, Institute of Geographic Sciences and Natural Resources Research, CAS (China)
Siqing Chen, Institute of Geographic Sciences and Natural Resources Research, CAS (China)
Xiyong Hou, Institute of Geographic Sciences and Natural Resources Research, CAS (China)
Graduate School, CAS (China)
Hua Chen, Institute of Geographic Sciences and Natural Resources Research, CAS (China)
Graduate School, CAS (China)


Published in SPIE Proceedings Vol. 5549:
Weather and Environmental Satellites
Thomas H. Vonder Haar; Hung-Lung Allen Huang, Editor(s)

© SPIE. Terms of Use
Back to Top