土壤2018，Vol.50Issue(2)：404-413,10.DOI:10.13758/j.cnki.tr.2018.02.026
基于遥感和GWR的兰州中心城区夏季热场格局及与土地覆盖的关系
Spatiotemporal Pattern of Summer Thermal Field and Its Relationship with Land Cover in Lanzhou Based on RS and GWR
摘要
Abstract
By using the Landsat remote sensing images, land surface temperature (LST) of Lanzhou City, a valley city in Northwest China, in the summer was retrieved during 1990—2015. Ordinary linear regressions (OLS) models and geographically weighted regressions (GWR) models were used to investigate the relationships between the proportions of land cover change and LST and analyzed the spatial non-stability. The results indicated that the high summer land surface temperature mainly focus on unused land in north and south mountains, the valley basin where the Yellow river runs across has low temperature. Urban-heat-island ratio index decreased firstly and then increased. The proportions of land cover change were significantly correlated to LST, but with spatial non-stability which is mainly due to the different geographical locations and surrounding environments of different areas. OLS model might overestimate or underestimate the adjusting ability of different cover types on temperature, which may decrease or increase LST. The results obtained by GWR models are better than those by OLS models. What's more, GWR models could intuitively and accurately reveal the spatial non-stability of the relationships between the proportions of different land cover and LST.关键词
地表温度/土地覆被/地理加权回归/热场/兰州市Key words
Land surface temperature/Land cover/Geographic weighted regression/Heat field/Lanzhou City分类
天文与地球科学引用本文复制引用
董磊磊,潘竟虎,王卫国,冯娅娅..基于遥感和GWR的兰州中心城区夏季热场格局及与土地覆盖的关系[J].土壤,2018,50(2):404-413,10.基金项目
甘肃省自然科学基金项目(1506RJZA117)和甘肃省高校基本科研业务费项目(2014-63)资助. （1506RJZA117）
