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作 者:赵侃 师芸[1,2] 牛敏杰 ZHAO Kan;SHI Yun;NIU Minjie(College of Geomatics,Xi'an University of Science and Technology,Xi'an 710054,China;Key Laboratory of Coal Resources Exploration and Comprehensive Utilization,Ministry of Land and Resources,Xi'an 710021,China)
机构地区:[1]西安科技大学测绘科学与技术学院,陕西西安710054 [2]自然资源部煤炭资源勘察与综合利用重点实验室,陕西西安710021
出 处:《测绘通报》2022年第5期49-55,共7页Bulletin of Surveying and Mapping
基 金:国家自然科学基金(41674013,41874012)。
摘 要:秦岭地区植被覆盖动态变化对其生态环境有重要影响。本文利用Google Earth Engine云平台,选取1986—2019年Landsat TM/OLI地表反射率数据,结合像元二分模型估算秦岭地区植被覆盖度(FVC);通过年际变化斜率、变异系数、Hurst指数等评价指标,对FVC的时空变化、稳定性和持续性变化进行分析。此外,探究FVC与气温、降雨的耦合关系,并分析土地利用变化对FVC的影响。结果表明:34年间,秦岭地区FVC整体上呈现良好的状况,中高等及以上植被覆盖区达73.11%;FVC由1986年的62.86%增长到2019年的70.01%,植被活动在不断增强;FVC的变异系数均值为0.34,标准差为0.45,其稳定性与其空间分布呈高度自相关性;秦岭地区的植被覆盖变化受气候变化和人为因素的共同影响。The dynamic change of vegetation cover in Qinling mountains has an important impact on its ecological environment.Based on the Google Earth Engine cloud platform,this paper selects the Landsat TM/OLI surface reflectance data from 1986 to 2019,combines with the dimidiate pixel model to estimate the fractional vegetation cover(FVC)in Qinling mountains.The spatiotemporal variation,stability and persistence of FVC are analyzed by using the slope of interannual variation,coefficient of variation and Hurst index.In addition,the coupling relationship between FVC and temperature and rainfall is explored,and the impact of land use change on FVC is analyzed.The results shows that:during the 34 years,FVC in Qinling region is in a good condition,with 73.11%vegetation coverage of medium,high and above;FVC will increase from 62.86%in 1986 to 70.01%in 2019,and vegetation activity will continue to increase;the mean coefficient of variation of FVC is 0.34,the standard deviation is 0.45,and its stability is highly autocorrelated with its spatial distribution;vegetation cover change in Qinling mountains is affected by climate change and human factors.
关 键 词:Google Earth Engine云平台 秦岭 植被覆盖度 时空变化
分 类 号:P237[天文地球—摄影测量与遥感]
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