| 基于TM和ASTER的植被指数建模性能对比 |
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| 引用本文： | 李明诗,齐家,彭世揆,周林,马以秀. 基于TM和ASTER的植被指数建模性能对比[J]. 林业资源管理, 2006, 0(3): 77-80 |
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| 作者姓名： | 李明诗 齐家 彭世揆 周林 马以秀 |
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| 作者单位： | 1. 南京林业大学森林资源与环境学院,江苏,南京,210037
2. 江苏省建湖县林业站,江苏,建湖,224700 |
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| 基金项目： | 国家烟草专卖局资助项目，江苏省高校自然科学基金 |
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| 摘 要： | 在对TM、ASTER数据进行多种植被指数生成的基础上,结合研究区48个杨树样地的测树因子数据,分别就杨树单位面积蓄积量、杨树平均高和杨树年龄进行了遥感统计建模研究,通过植被指数及其变形式共65个特征对比结果表明,由ASTER数据派生的植被指数中RVI3(0.5)对于上述3个测树因子的估测性能最好,由TM数据导出的植被指数中则是DVI2对上述3个测树因子回归效果最好,从建模性能上分析,ASTER数据生成的植被指数要优于TM数据生成的植被指数。
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| 关 键 词： | ASTER TM 杨树 植被指数 建模性能 |
| 文章编号： | 1002-6622（2006）03-0077-04 |
| 收稿时间： | 2005-11-07 |
| 修稿时间： | 2005-11-072006-05-12 |
Comparison of Modeling Performance Based on Vegetation Indices Derived from TM and ASTER Datasets |
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| LI MingShi,QI Jia,PENG Shikui,ZHOU Lin,MA Yixiu. Comparison of Modeling Performance Based on Vegetation Indices Derived from TM and ASTER Datasets[J]. Forest Resources Management, 2006, 0(3): 77-80 |
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| Authors: | LI MingShi QI Jia PENG Shikui ZHOU Lin MA Yixiu |
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| Affiliation: | 1. College of Forest Resources and Environment, Nanjing Forestry University, Nanjing 210037,Jiangsu Province ;2. Forestry Division of Agricultural Bureau of Jianhu County 224700, Jiangsu Province, China |
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| Abstract: | Based on a variety of vegetation indices derived from TM and ASTER datasets,in combination with observations of 48 sample plots of Poplar throughout the study area,statistical models in terms of stem volume,average height and age of Poplar based on remotely sensed data were respectively established in this paper.The results showed that RVI feature coming from 65 vegetation indices derived from ASTER data was the optimal index for estimating the aforementioned 3 Poplar factors and DVI derived from TM data was the best one for estimating those 3 factors.Furthermore,according to the performance of modeling,the vegetation indices produced by ASTER data were superior to those indices gained from TM data. |
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| Keywords: | ASTER TM Poplar vegetation index performance of modeling |
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