1. 中山大学地球科学与工程学院,广东,广州,510275
2.
3. 广东省地球动力作用与地质灾害重点实验室,广东,广州,510275
4.
纸质出版日期:2020,
网络出版日期:2020-3-25,
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梁凯旋, 章桂芳, 李红中, 等. 基于植被指数的公路路域界限[J]. 中山大学学报(自然科学版)(中英文), 2020,59(2):101-109.
LIANG Kaixuan, ZHANG Guifang, LI Hongzhong, et al. The road-region boundary based on vegetation index[J]. Acta Scientiarum Naturalium Universitatis SunYatseni, 2020,59(2):101-109.
梁凯旋, 章桂芳, 李红中, 等. 基于植被指数的公路路域界限[J]. 中山大学学报(自然科学版)(中英文), 2020,59(2):101-109. DOI: 10.13471/j.cnki.acta.snus.2020.02.012.
LIANG Kaixuan, ZHANG Guifang, LI Hongzhong, et al. The road-region boundary based on vegetation index[J]. Acta Scientiarum Naturalium Universitatis SunYatseni, 2020,59(2):101-109. DOI: 10.13471/j.cnki.acta.snus.2020.02.012.
基于植被指数的公路路域界限研究对公路建设决策以及生态环境保护有着重要意义。以广昆高速段Landsat 8 OLI遥感影像为基础数据,基于植被指数探讨公路沿线不同缓冲区内植被长势的变化及规律,从而为路域界限确定提供依据。研究结果表明:NDVI、ARVI和IAVI植被指数可以作为实时监测公路路域生态变化的植被指标;公路对临近植被的影响程度随着距离的增加而减小,其在200 m内的影响尤为明显,而在600 m左右开始趋于稳定;路域界限可以动态缩放,在公路选线中,路域界限可以放宽至次要影响区或无影响区,在生态环境评价中,路域界限可以缩至主要影响区。
The research on road-region boundary based on vegetation index is of great significance for road construction decision and eco-environmental protection. Taking Landsat 8 OLI remote sensing image of Guangkun highway as a case
the law of vegetation growth in different buffer zones was discussed based on vegetation index
so as to provide a criteria for determining road-region boundary. The results showed that NDVI
ARVI and IAVI vegetation indices can be used for monitoring road ecological changes constantly. The influence of road on adjacent vegetation will decrease with the increase of distance. The influence is strong within 200 m
and tends to be stable around 600 m. Moreover
road-region boundary can be scaled dynamically in which road-region boundary should be relaxed to the minor influence area or the non-influence area in route selection or reduced to the main affected area in ecoenvironmental assessment.
路域界限植被指数Landsat 8 影像植被长势生态变化
road-region boundaryvegetation indexLandsat 8 imagevegetation growthecological change
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