| Technology Application |
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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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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.
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| Keywords
edge detection
road extraction
direction template
image blocking
line segment voting
limited dilation
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Issue Date: 08 December 2014
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Vol. 27
