首页|基于GF-1卫星遥感数据的苏化高速公路植被变化研究

基于GF-1卫星遥感数据的苏化高速公路植被变化研究

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基于GF-1遥感卫星影像,采用光谱锐化方法及灰度直方图进行图像融合与镶嵌,选用生境质量指数和植被覆盖度指数作为生境质量变化的指示因子,定量研究苏化高速公路2018年~2020年土地覆盖和植被NDVI数据.结果表明:(1)GS变换融合方法和灰度直方图法可较好地处理图像数据;(2)2018年~2020年苏化高速公路12个重要工点中,土地利用类型的明显变化主要发生在2019年,7个工点生境质量指数有所减小,施工在原有的建设用地基础上扩大了面积,草地占比大的工点生境指数可达到95.64,耕地占比大的弃土场工点生境指数可低至43.62.
Research on Vegetation Change in Su-Hua Expressway based on GF-1 Remote Sensing Data
Based on GF-1 remote sensing satellite images,spectral sharpening method is used for image fusion,and gray histogram is used for image mosaic.Habitat quality index and vegetation coverage index are selected as indicators of habitat quality changes,and land cover and vegetation NDVI data of Suniteyouqi-Huade Expressway(Su-Hua Expressway)from 2018 to 2020 are quantitatively studied.The results show that:(1)GS transform fusion method and gray histogram method are better for image data processing;(2)Among the 12 important construction sites of Su-Hua Expressway from 2018 to 2020,the obvious change of land use type mainly occurred in 2019,and the habitat quality index of 7 construction sites decreased.The area of construction is expanded on the basis of the original construction land.The habitat index of the construction site with large proportion of grassland can reach 95.64,and that of abandoned sites with large proportion of arable land can be as low as 43.62.

expressway vegetationhabitat quality indexvegetation coverage indexGF-1 satelliteGS methodgray histogram

姜宏维、张艳红

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中国公路工程咨询集团有限公司 北京市 100097

公路建设与养护技术、材料及装备交通运输行业研发中心 北京市 100097

中交集团公路路面养护技术研发中心 北京市 100097

高速公路植被 生境质量指数 植被覆盖度指数 GF-1卫星 GS法 灰度直方图

2024

公路
中国交通建设集团有限公司

公路

CSTPCD北大核心
影响因子:0.54
ISSN:0451-0712
年,卷(期):2024.69(3)
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