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作 者:邱煌奥
机构地区:[1]赣东学院,江西抚州344000
出 处:《科技创新与应用》2024年第33期99-101,106,共4页Technology Innovation and Application
基 金:江西省教育厅科学技术研究项目(GJJ2203710)。
摘 要:基于抚州市2022年9月28日Landsat-8影像,采用单窗算法反演地表温度(LST),并选取随机点统计方法,分析LST与归一化植被指数(NDVI)、数字高程模型(DEM)、坡向之间的关系。结果表明,研究区反演的LST为22.51~45.71℃,低值区主要分布在东北部、东南部、中部偏西高程和NDVI值均较大的区域,高值区主要分布在西部、南部城镇密集、高程和NDVI值均较小的区域。LST与NDVI、DEM 2个影响因素均呈现明显负相关,不同坡向的LST与一般认知一致,阳坡高于阴坡。Based on the Landsat-8 image of Fuzhou City on September 28,2022,a single window algorithm was used to retrieve the Land Surface Temperature(LST),and a random point statistical method was selected to analyze the relationship between LST and Normalized Difference Vegetation Index(NDVI),Digital Elevation Model(DEM),and slope direction.The results show that the retrieved LST in the study area is 22.51~45.71℃.The low-value areas are mainly distributed in areas with large elevations and NDVI values in the northeast,southeast,and west-by-middle.The high-value areas are mainly distributed in areas with dense towns in the west and south,and low elevations and NDVI values.LST is significantly negatively correlated with the two influencing factors:NDVI and DEM.The LST of different slope directions is consistent with general understanding,with sunny slopes being higher than shady slopes.
关 键 词:抚州市 Landsat-8 地表温度反演 单窗算法 DEM
分 类 号:X16[环境科学与工程—环境科学]
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