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作 者:马榆杰 雷波 杨春华 MA Yujie;LEI Bo;YANG Chunhua(Chongqing Academy of Ecological and Environmental Science,Chongqing 401336,China;Southwest Branch of the Chinese Academy of Environmental Sciences,Chongqing 401336,China)
机构地区:[1]重庆市生态环境科学研究院,重庆401336 [2]中国环境科学研究院西南分院,重庆401336
出 处:《环境影响评价》2023年第6期113-118,124,共7页Environmental Impact Assessment
摘 要:该文以川中丘陵地区自贡市为例,利用Landsat 8数据,采用单窗算法反演研究区LST(Land Surface Temperature),应用地理探测器定量分析丘陵地区多个因子对地表温度的影响。研究结果表明在9个可量化因子中归一化建筑指数(Normalized Difference Built-up Index,NDBI)和土壤指数(soil index,SI)呈正相关,其余因子呈负相关。从单个因子对LST的影响大小来看,SI是影响川中丘陵地区LST的最主要因素,其次分别为土地利用、NDBI、归一化水汽指数(Normalized Difference Moisture Index,NDMI)、归一化植被指数(Normalized Difference Vegetation Index,NDVI)、海拔、土壤类型、归一化差异水体指数(Modified NDWI,MNDWI)、降雨、坡度、坡向。In this paper,taking Zigong City in the hilly area of central Sichuan as an example,using Landsat 8 data,single-window algorithm is used to invert the LST(Land Surface Temperature)of the study area,and the geographic detector is used to quantitatively analyze the influence of multiple factors on the surface temperature in the hilly area.The results of the study show that among the 9 quantifiable factors,the Normalized Difference Built-up Index(NDBI)and the soil index(SI)are positively correlated,and the rest of the factors are negatively correlated.From a single factor pair In terms of the magnitude of LST impact,SI is the most important factor affecting LST in the hilly areas of central Sichuan,followed by land use,NDBI,normalized difference moisture index(NDMI),and normalized difference vegetation index.index,NDVI,elevation,soil type,modified normalized difference water index(Modified NDWI,MNDWI),rainfall,slope,aspect.
关 键 词:地表温度(LST) 地理探测器 影响因子 NDVI NDBI
分 类 号:X171.1[环境科学与工程—环境科学]
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