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Scientia Silvae Sinicae ›› 2011, Vol. 47 ›› Issue (9): 75-81.doi: 10.11707/j.1001-7488.20110913

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Leaf Area Index Retrieval Based on Prospect,Liberty and Geosail Models

Li Haiyang, Fan Wenyi, Yu Ying, Yang Xiguang   

  1. Forest College, Northeast Forestry University Harbin 150040
  • Received:2009-11-27 Revised:2010-06-07 Online:2011-09-25 Published:2011-09-25

Abstract:

Leaf area index (LAI) is a key forest structural parameter which plays an important role in controlling the exchange and cycle process of maters and energy in land ecosystem. Because of the disadvantages of unstable and various statistical models for LAI retrieval, this paper presents a new method of LAI retrieval from TM images based on the Geosail bidirectional canopy reflectance model coupled with the Prospect and Liberty leaf optical properties model and look-up-table. Compared with the LAI measurements by TRAC(tracing radiation and architecture of canopies), the results show that LAI estimated from phyisical models and look-up-table and LAI measurements are in good agreement, with precision is 83.7%.

Key words: leaf area index(LAI), TM, look-up-table, Prospect, Liberty, Geosail

CLC Number: