| 赵芮,李耀辉,王玮.基于GEE的阿坝红原机场建设前后植被覆盖度时空变化分析[J].沙漠与绿洲气象,2024,18(2):138~145 |
| 基于GEE的阿坝红原机场建设前后植被覆盖度时空变化分析 |
| Analysis of Spatial and Temporal Variation in Fractional Vegetation Cover Before and After the Construction of Aba Hongyuan Airport Based on GEE |
| 投稿时间：2023-09-07 修订日期：2023-11-10 |
| DOI： |
| 中文关键词: 阿坝红原机场 植被覆盖度 像元二分模型 分布特征和趋势 |
| 英文关键词:Aba Hongyuan airport fractional vegetation coverage pixel binary model distribution feature and trends |
| 基金项目:四川省自然科学(2023NSFSC0249)；中央高校基本科研业务费专项资金(PHD2023-020)；国家重点研发计划(2021YFB2601701) |
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| 中文摘要: |
| 借助Google Earth Engine平台，以阿坝红原机场周边15 km缓冲区为研究区，选取30 m分辨率的Landsat系列卫星数据，并采用像元二分模型对该区域2004-2020年5-9月的遥感影像进行反演,从整体和像元尺度对机场建设前后的植被覆盖度的空间格局、结构变化及趋势进行了深入分析。研究结果表明：(1)机场通航后，其西北及东北方向的草地植被生长状况较好，且植被覆盖度随海拔增加呈下降趋势；(2)在2004-2020年期间，低植被度覆盖度和中低植被度覆盖度的面积分别减少60.04%和43.07%，而中植被覆盖度、中高植被覆盖度和高植被覆盖度的面积分别增长15.13%、50.11%和61.22%；(3)研究区植被覆盖度显著改善面积远超显著退化面积，改善区主要集中于机场的西北、东北及正南方向，显著退化区主要位于机场的正北、西南及东南方向。该研究结果能够更好地了解研究区植被覆盖度的动态变化，为机场周边生态环境的后续监测、修复和治理提供了基础数据，为生态环境保护和可持续发展提供更为科学的依据。 |
| 英文摘要: |
| With the help of Google Earth Engine platform, the 15 km buffer zone around Aba Hongyuan Airport was taken as the research area, and the Landsat series satellite data with a resolution of 30 m were selected,pixel binary model was used to invert the remote sensing images of the region from May to September from 2004 to 2020. the spatial pattern, structural changes and trends of fractional vegetation coverage before and after airport construction were analyzed from the overall and pixel scales. The results showed that : (1) After the opening of the airport, the grassland vegetation in the northwest and northeast directions grew well, and fractional vegetation coverage decreased with the increase of altitude.(2) During the period from 2004 to 2020, the area of low fractional vegetation coverage and medium-low fractional vegetation coverage decreased by 60.04 % and 43.07 %, respectively, while the area of medium fractional vegetation coverage, medium-high fractional vegetation coverage and high fractional vegetation coverage increased by 15.13 %, 50.11 % and 61.22 %, respectively.(3) The significantly improved area of fractional vegetation cover in the study area far exceeded the significantly degraded area, with the improved area mainly concentrated in the north-west, north-east and south direction of the airport, and the significantly degraded area mainly located in the due north, south-west and south-east directions of the airport. The results of this study can better understand the dynamic changes of fractional vegetation cover in the study area, provide basic data for the subsequent monitoring, restoration and management of the ecological environment around the airport, and provide a more scientific basis for ecological environmental protection and sustainable development. |
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