国土资源遥感
國土資源遙感
국토자원요감
REMOTE SENSING FOR LAND & RESOURCES
2015年
1期
164-171
,共8页
植被覆盖度%地形调节植被指数(TAVI)%归一化差值植被指数(NDVI)
植被覆蓋度%地形調節植被指數(TAVI)%歸一化差值植被指數(NDVI)
식피복개도%지형조절식피지수(TAVI)%귀일화차치식피지수(NDVI)
vegetation coverage%topography-adjusted vegetation index(TAVI)%normalized difference vegetation index(NDVI)
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,TA-VI),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。
植被覆蓋度遙感估算最常用的方法是基于植被指數構建模型,但大部分的植被指數沒有攷慮地形的影響。以福建省長汀縣作為研究區,引入能消除地形影響的地形調節植被指數( topography adjusted vegetation index,TA-VI),利用像元二分模型估算植被覆蓋度,旨在研究TAVI對植被覆蓋度估算結果的影響,併與基于歸一化差值植被指數( normalized difference vegetation index,NDVI)估算的結果進行比較。根據目視效果和統計指標的分析錶明:基于TAVI估算的植被覆蓋度精度高于基于NDVI的估算結果,併能有效降低陰坡暘坡間的差異,提高陰坡區域植被覆蓋度的估算精度。
식피복개도요감고산최상용적방법시기우식피지수구건모형,단대부분적식피지수몰유고필지형적영향。이복건성장정현작위연구구,인입능소제지형영향적지형조절식피지수( topography adjusted vegetation index,TA-VI),이용상원이분모형고산식피복개도,지재연구TAVI대식피복개도고산결과적영향,병여기우귀일화차치식피지수( normalized difference vegetation index,NDVI)고산적결과진행비교。근거목시효과화통계지표적분석표명:기우TAVI고산적식피복개도정도고우기우NDVI적고산결과,병능유효강저음파양파간적차이,제고음파구역식피복개도적고산정도。
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.