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国土资源遥感  2015, Vol. 27 Issue (1): 164-171    DOI: 10.6046/gtzyyg.2015.01.26
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
基于地形调节植被指数估算长汀县植被覆盖度
刘亚迪1,2, 汪小钦1,2, 江洪1,2
1. 福州大学空间数据挖掘和信息共享教育部重点实验室, 福州 350002;
2. 福建省空间信息工程研究中心, 福州 350002
Estimation of vegetation coverage based on topography-adjusted vegetation index (TAVI) in Changting County, Fujian Province
LIU Yadi1,2, WANG Xiaoqin1,2, JIANG Hong1,2
1. Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China;
2. Spatial Information Research Center of Fujian Province, Fuzhou 350002, China
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摘要 植被覆盖度遥感估算最常用的方法是基于植被指数构建模型,但大部分的植被指数没有考虑地形的影响。以福建省长汀县作为研究区,引入能消除地形影响的地形调节植被指数(topography adjusted vegetation index,TAVI),利用像元二分模型估算植被覆盖度,旨在研究TAVI对植被覆盖度估算结果的影响,并与基于归一化差值植被指数(normalized difference vegetation index,NDVI)估算的结果进行比较。根据目视效果和统计指标的分析表明: 基于TAVI估算的植被覆盖度精度高于基于NDVI的估算结果,并能有效降低阴坡阳坡间的差异,提高阴坡区域植被覆盖度的估算精度。
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关键词 边缘检测道路提取方向模板图像分块直线段投票受限膨胀    
Abstract:Vegetation indexes, such as Normalized Difference Vegetation Index (NDVI), are used widely in estimating vegetation coverage using remote sensing imagery. However, most of them do not take topographic effects into account, particular in rugged areas. In this research, a study area was selected in Changting County, Fujian Province. The authors adopted Topography-Adjusted Vegetation Index (TAVI) to eliminate the topographic effects, and utilized dimidiate pixel model to estimate the vegetation coverage of this area. To investigate the effectiveness of TAVI for the elimination of topographic effects, the authors compared vegetation coverages estimated on the basis of TAVI with those using NDVI. A comparative analysis of visual effect and statistical indicators showed that the accuracy of vegetation coverage estimated by TAVI outperformed NDVI-dependent estimation. In sunny areas, the results from TAVI and NDVI were similar, while in shade areas, the results from TAVI were much better than those from NDVI. TAVI can effectively alleviate the estimation difference between shade and sunny areas and improve the estimation accuracy in shade areas.
Key wordsedge detection    road extraction    direction template    image blocking    line segment voting    limited dilation
收稿日期: 2013-11-05      出版日期: 2014-12-08
:  TP79  
基金资助:国家科技支撑项目(编号: 2013BAC08B01)及福建省自然科学基金项目(编号: 2012J01166,2013J01158)共同资助。
通讯作者: 汪小钦(1972-),女,研究员,硕士生导师,主要从事遥感图像处理和资源环境遥感应用研究。Email: wangxq@fzu.edu.cn。
作者简介: 刘亚迪(1988 -),女,硕士研究生,主要从事遥感信息处理与应用研究。Email: mailgrape@163.com。
引用本文:   
刘亚迪, 汪小钦, 江洪. 基于地形调节植被指数估算长汀县植被覆盖度[J]. 国土资源遥感, 2015, 27(1): 164-171.
LIU Yadi, WANG Xiaoqin, JIANG Hong. Estimation of vegetation coverage based on topography-adjusted vegetation index (TAVI) in Changting County, Fujian Province. REMOTE SENSING FOR LAND & RESOURCES, 2015, 27(1): 164-171.
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https://www.gtzyyg.com/CN/10.6046/gtzyyg.2015.01.26      或      https://www.gtzyyg.com/CN/Y2015/V27/I1/164
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