摘要
森林火灾严重影响生态系统及景观风貌,利用遥感技术定量评价受灾区生态环境质量恢复程度对促进灾后重建工作及社会经济可持续发展具有重要意义。利用GEE(Google earth engine)平台获取凉山州2000、2010、2020年Landsat系列遥感影像并提取绿度(NDVI)、湿度(WET)、热度(LST)和干度(NDBSI)4个生态指标,通过主成分分析耦合上述指标构建遥感生态指数模型(RSEI)对研究区生态环境质量进行评价,同时使用地理探测器对凉山州生态环境质量变化进行驱动因子分析。结果表明:1)2000-2020年凉山州生态环境质量呈“先降后升”趋势,RSEI均值从0.53(2000年)下降到0.51(2010年),后上升至0.55(2020年),生态等级为一般及以上的面积占比为68.12%;2)凉山州生态环境质量呈差和较差的区域多集中于西部的盐源县,南部的会理县、会东县,中部的越西、喜德、昭觉、美姑、普格、布拖、金波、西昌8县等;3)生态环境质量最佳区域多集中于海拔3 831~4 624 m、坡度39°~51°和正北坡向等地;4)单因子探测结果为干度指标>绿度指标>湿度指标>热度指标>土地利用类型>高程>坡度>经济密度>人口密度,且各因子在交互作用后对RSEI的空间分异解释力均得到增强。
Forest fires seriously affect the local ecosystem and landscape,and the use of remote sensing technology to quantitatively evaluate the degree of ecological environment quality restoration in the affected areas is of great significance to promote post-disaster reconstruction work and sustainable social and economic development.Based on the GEE(Google Earth Engine)platform,this study obtained the remote sensing images of the Landsat series in Liangshan Prefecture in 2000,2010 and 2020 and extracted four ecological indicators of greenness(NDVI),humidity(WET),heat(LST)and dryness(NDBSI),and evaluated the ecological environment quality of the study area by coupling the above indicators through principal component analysis and coupling of the above indicators.At the same time,geographical detectors were used to analyze the driving factors of the changes in the quality of the ecological environment in Liangshan Prefecture.The results showed that 1)from 2000 to 2020,the ecological environment quality of Liangshan Prefecture showed a trend of"first falling and then rising",and the average RSEI decreased from 0.53(2000)to 0.51(2010)and then to 0.55(2020),and the area with ecological grade of average or above accounted for 68.12%of the area.2)The areas with poor and poorer ecological environment quality in Liangshan Prefecture were mostly concentrated in Yanyuan County in the west,Huili County and Huidong County in the south,and Yuexi,Xide,Zhaojue,Meigu,Puge,Butuo,Jinbo and Xichang eight counties in the central part.3)The areas with the best ecological and environmental quality were mostly concentrated in places such as altitude of 3831-4624 m,slope of 39°-51°and due north slope.4)The results of the one-factor detection were dryness index>greenness index>humidity index>heat index>land use type>elevation>slope>economic density>population density,and the spatial differentiation interpretation of RSEI by each factor was enhanced after interaction.The study shows that although the overall quality of the ecological environment in Liangshan Prefecture has improved in recent years,the ecological restoration work in some areas still needs to be strengthened,and in the future,it is necessary to strictly prevent high-risk areas of forest fires and control the development of urbanization.
作者
杨鸿辉
余娇
吴钺
尹金龙
丁铮
YANG Hong-hui;YU Jiao;WU Yue;YIN Jin-long;DING Zheng(College of Arts/College of Landscape Architecture,Fujian Agriculture and Forestry University,Fuzhou 350100,Fujian,China)
出处
《西北林学院学报》
CSCD
北大核心
2023年第3期138-145,210,共9页
Journal of Northwest Forestry University
基金
福建省科技创新智库课题研究项目(FJKX-A2008)。
