摘要
基于Landsat8 OLI遥感影像数据,提取了与城市环境密切相关的NDVI、NDBI、NDWI和LST,分析了不同地物类型遥感指数的分布特征和不同时间序列的变化特征;进一步探讨了NDVI、NDBI与LST的相关性,可为研究城市热岛效应提供依据。结果表明,山地的NDVI最大,建筑用地密集区域的NDBI、LST最大,水体的NDWI最大,且建筑用地的NDVI、NDBI随时间变化较稳定。
Based on Landsat8 OLI remote sensing image data, this paper extracted the NDVI, NDBI, NDWI and LST, which were closely related to the urban environment, and analyzed the distribution characteristics of different terrain type's remote sensing indexes and the change characteristics of different time series. And then, the paper further explored correlation between NDVI, NDBI and LST. The results show that the mountainous area's NDVI is the largest, the intensive areas of construction land's LST and NDBI are the largest, and the water body's NDWI is the largest. The NDVI and NDBI of the buildings are stable over time. This study can provide a basis for the research of urban heat island effect.
出处
《地理空间信息》
2017年第7期76-78,89,共4页
Geospatial Information
基金
国家自然科学基金资助项目(91025022)