摘要
针对南昌地区热岛效应问题,提出采用改进的单窗算法反演地表温度,在利用实测数据验证了本算法可靠性的同时,分析了南昌地区热岛效应的空间分布与季节变化特征及其与植被覆盖度、土地利用分类、水体等影响因子之间的关系。结果表明,该文所用单窗算法是有效的,南昌地区热岛时空现象明显,秋季的热岛效应强度最强,冬春季次之,夏季最弱。不同土地利用类型对热岛效应影响不同;地表温度与植被覆盖度之间存在明显的负线性相关;水体对降低地表温度效果显著。
Aiming at the problem of heat island effect in Nanchang,the land surface temperature(LST)has been retrieved by using an improved mono-window algorithm.The reliability of this algorithm is verified by the measured data.At the same time,characteristics of seasonal variation and spatial distribution of heat island effect in Nanchang,as well as its relationships with the impact factors including vegetation fraction,land use classification and water bodies are discussed in detail.The result shows that the improved mono-window algorithm is effective,and the temporal and spatial phenomena of heat island effect in Nanchang area are obvious.The intensity of heat island effect was strongest in autumn,weaker in winter and spring,and weakest in summer.The degree of influence of heat island effect depends on different land use types,and the land surface temperature has a significant negative linear correlation with vegetation fraction.Water bodies are obvious to reduce land surface temperature.
出处
《遥感信息》
CSCD
北大核心
2016年第3期101-108,共8页
Remote Sensing Information
基金
国家地理国情监测专项(JC201410)
国家自然科学基金(41161069)
广西空间信息与测绘重点实验室资助课题(13-051-14-18)
江西省数字国土重点实验项目(DLLJ201515
DLLJ201517)
江西省高等学校大学生创新创业计划项目(201510405016)
流域生态与地理环境监测国家测绘地理信息局重点实验室(WE2015007)
关键词
Landsat-8
单窗算法
地表温度
热岛效应
植被覆盖度
Landsat-8
mono-window algorithm
land surface temperature
heat island effect
vegetation fraction
