title: [Construction of age group vegetation index and preliminary application].
abstract: In the present paper, one remote sensing index-age group vegetation index (AGVI) was put forward, and its feasibility was verified. Taking 518 groups of pine forest age group data collected in 13 counties (cities) of Sanming, Jiangle, Shaxian, Nanping, Huaan, Yunxiao, Nanping, Anxi, Putian, Changting, Jianyang, Ningde and Fuqing, Fujian Province and HJ-1 CCD multi-spectral image at the same time-phase as the basis, the spectrum differences of blue, green, red, near infrared and NDVI of each age group were analyzed, showing the characteristics of young forest>middle-aged forest>over-mature forest>mature forest>near mature forest at near infrared band and mature forest>near mature forest>over-mature forest>young forest>middle-aged forest at NDVI, thus the age group vegetation index (AGVI) was constructed; the index could increase the absolute and relative spectrum differences among age groups. For the pine forest AGVI, cluster analysis was conducted with K-mean method, showing that the division accuracy of pine forest age group was 80.45%, and the accurate rate was 90.41%. Therefore, the effectiveness of age group vegetation index constructed was confirmed.
authors.forename: Zhang-hua
authors.initials: ZH
authors.lastname: Xu
authors.forename: Cong-hui
authors.initials: CH
authors.lastname: Li
authors.forename: Jian
authors.initials: J
authors.lastname: Liu
authors.forename: Kun-yong
authors.initials: KY
authors.lastname: Yu
authors.forename: Cong-hong
authors.initials: CH
authors.lastname: Gong
authors.forename: Meng-ya
authors.initials: MY
authors.lastname: Tang
mesh_terms: D065928:Forests; D028223:Pinus; D058998:Remote Sensing Technology; D013057:Spectrum Analysis