贵阳市花溪区城市生态环境变化研究
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摘要
遥感因为其具有大面积的同步观测、时效性、数据的综合性和可比性的特点,在城市生态环境评价与监测方面得到了广泛应用。通过选取贵阳市花溪区1997年、2005年和2013年3个时相的Landsat系列卫星影像,提取湿度、干度、绿度、热度4个评价指标,经过主成分分析后组成新型的遥感生态指数(RESI)来研究贵阳市花溪区16年间的生态环境变化。研究发现花溪区的生态环境逐渐变好,自1997年到2013年RESI均值从0.439 039上升到0.597 317,RESI均值上升了约36%,增幅较大。其中NDVI的荷载值逐年增加,呈现了与RESI很好的对应关系,表明了植被覆盖度是影响生态环境的关键性因素。
Remote sensing has been widely applied in urban ecological environment evaluation and monitoring because of its large area synchronous observation,timeliness,data comprehensiveness and comparability. From 1997,2005 and 2013 in Huaxi District,Guiyang City,Landsat series of satellite images of the 3 phase,extraction of humidity,dryness,greenness,heat four evaluation indicators by principal component analysis. The remote sensing ecological index model(RESI) to study the ecological environment of Huaxi District of Guiyang City,16 years of change. The study found that the ecological environment in Huaxi District is getting better. From1997 to 2013,the RESI mean increased from 0.439 039 to 0.597 317,and the RESI mean increased by 36%. The load value of NDVI increased year by year,showing a good correspondence with the RESI,indicating that the vegetation coverage is the key factor affecting the ecological environment.
Remote sensing has been widely applied in urban ecological environment evaluation and monitoring because of its large area synchronous observation,timeliness,data comprehensiveness and comparability. From 1997,2005 and 2013 in Huaxi District,Guiyang City,Landsat series of satellite images of the 3 phase,extraction of humidity,dryness,greenness,heat four evaluation indicators by principal component analysis. The remote sensing ecological index model(RESI) to study the ecological environment of Huaxi District of Guiyang City,16 years of change. The study found that the ecological environment in Huaxi District is getting better. From1997 to 2013,the RESI mean increased from 0.439 039 to 0.597 317,and the RESI mean increased by 36%. The load value of NDVI increased year by year,showing a good correspondence with the RESI,indicating that the vegetation coverage is the key factor affecting the ecological environment.
引文
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[2]黄淑芳.福建省脆弱生态环境评价[D].福州:福建师范大学,2003.
[3]郭建平,李凤霞.中国生态环境评价研究进展[J].气象科技,2007,35(2):227-231.
[4]王根绪,钱鞠,程国栋.区域生态环境评价(REA)的方法与应用———以黑河流域为例[J].兰州大学学报,2001,37(2):131-140.
[5]王俊祺,潘文斌.生态环境变化遥感评价指数的应用研究———以敖江流域为例[J].环境科学与管理,2014,39(12):186-190.
[6]蔡宏,何政伟,安艳玲,等.基于遥感和GIS的赤水河水质对流域土地利用的响应研究[J].长江流域资源与环境,2015,24(2):286-291.
[7]弓盛洋.基于遥感生态指数(RSEI)的濮阳市生态变化评估[J].能源与环境,2015(1):62-64.
[8]刘智才,徐涵秋,李乐,等.基于遥感生态指数的杭州市城市生态变化[J].应用基础与工程科学学报,2015,23(4):728-739.
[9]张浩,杜培军,罗洁琼,等.基于遥感生态指数的南京市生态变化分析[J].地理空间信息,2017,15(2):58-62.
[10]徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):589-595.