Dynamic Change Analysis of Vegetation Coverage in Qingshen County Based on Landsat
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摘要: 以Landsat TM/OLI系列遥感数据为基础，利用RS和GIS为技术手段提取NDVI值，通过像元二分模型得出青神县2009年、2013年、2018年三期的植被覆盖度分级图，并用转移矩阵和差值法分析其动态变化情况。结果表明：青神县植被覆盖总体良好，植被覆盖度以中高以上为主。2009-2013年该地区中高以上植被覆盖区占总面积的比例由71.73%降到62.69%，2018年有所改善，占总面积的67.77%，说明2009-2018年青神县植被覆盖度经历了先退化后改善的趋势，但整体发生了小幅度退化，退化面积比改善面积多出6.22 km2，占总面积的1.6%。据分析，城区的扩张、基础设施的建设侵占了耕地和林地，是造成青神县植被覆盖度退化的主要原因。为促进区域生态环境的可持续发展，应进一步提升中心城区及周边的植被覆盖度。Abstract: Based on Landsat TM/OLI series remote sensing data, NDVI values were extracted by RS and GIS, and vegetation FVC grading maps of Qingshen county in 2009, 2013 and 2018 were obtained by pixel binary model, and their dynamic changes were analyzed by transfer matrix and difference method. The results showed that the vegetation coverage in Qingshen county was generally good, and the vegetation coverage was mainly above medium and high.In 2009-2013, the 71.73% medium and high vegetation coverage in the region above derceased to 62.69%,and the proportion of the total improvement in 2018 accounted for 67.77% of the total area,showing that the vegetation coverage shows in Qingshen county from 2009 to 2018 experienced degradation before improving trend, but overall the small-amplitude degradation.The degradation area was more 6.22 km2 than the improve area, accounting for 1.6% of the total area. According to the analysis, the expansion of urban areas and the construction of infrastructure encroached on the cultivated land and forest land, which was the main cause of vegetation coverage degradation in Qingshen county. In order to promote the sustainable development of regional ecological environment, the vegetation coverage in and around the central city should be further improved.
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Key words:
- Qingshen County;
- Vegetation cover;
- NDVI;
- Dynamic change
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[1] 陈效述,王恒.1982-2003年内蒙古植被带和植被覆盖度的时空变化.地理学报,2009, 64(1):84~94. [2] 任志远,李晶.陕南秦巴山区植被生态功能的价值测评.地理学报,2003, 58(4):503~511. [3] 孟婷婷,倪健,工国宏.植物功能性状与环境和生态系统功能.植物生态学报,2007, 31(1):150~165. [4] 赵阴红,工屏,欧阳勋志,等.南昌市植被覆盖度时空演变及其对非气候因素的响应.生态学报,2016, 36(12):3723~3733. [5] 赵舒怡,宫兆宁,刘旭颖. 2001-2013年华北地区植被覆盖度与干旱条件的相关分析.地理学报,2015, 70(5):717~729. [6] 龚建周,夏北成.基于大气辐射校正的广州市植被覆盖度遥感估算[J].应用生态学报,2007,(3 ) [7] 贾坤,姚云军,魏香琴,等.植被覆盖度遥感估算研究进展[J].地球科学进展,2013.28(7):774~782. [8] 郑朝菊,曾源,赵玉金,等.近15年中国西南地区植被覆盖度动态变化[J].国土资源遥感,2017.29(3):128~136. [9] 苗正红,刘志明,王宗明,等.基于MODIS NDVl的吉林省植被覆盖度动态遥感监测[J].遥感技术与应用,2010.25(3):387~93. [10] 李登科,范建忠,王娟.陕西省植被覆盖度变化特征及其成因[J].应用生态学报,2010.21(11):28962903 [11] 陈爱京,傅玮东,肖继东,等.基于像元二分模型的布克赛尔县植被覆盖动态变化分析[J].草业科学,2012,29(6):857~862. [12] 马超飞, 马建文, 哈斯巴干, 等.基于RS和GIS的岷江流域退耕还林还草的初步研究[J].水土保持学报, 2001, 15(4):20~24. [13] [14] 李晓婷,贾宝全.基于MODIS的眉山市植被指数变化及其原因分析[J].中国城市林业,2018,16(01):11~16. [15] 陈晋,陈云浩,何春阳,等.基于上地覆盖分类的植被覆盖率估算亚像元模型与应用[J].遥感学报,2001,5(6). [16] 李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153~159. [17] 李苗苗.植被覆盖度的遥感估算方法研究[D].北京:中国科学院研究生院(遥感应用研究所)硕士论文,2003. [18] 贾宝全.基于TM卫星影像数据的北京市植被变化及其原因分析[J].生态学报,2013,33(5):165~1666. [19] 周湘山,孙保平,赵岩,等.土地利用/植被覆盖动态变化及其预测——以河北省涉县为例[J].中国农学通报,2010,26(19):306~311. [20] 杜珂磊,唐斌.青神县城市空间扩展及土地利用变化研究[J].地理空间信息,2017,15(03):103~105 +114+12. [21] Xiyong Hou,Ting Wu,Liangju Yu,et al. Characteristics of multi-temporal scale variation of vegetation coverage in the Circum Bohai Bay Region, 1999-2009[J]. Acta Ecologica Sinica,2012,32(6). -
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