利用北京高温天气下的NOAA18/AVHRR卫星资料与气象台站资料,分析了日最高气温与遥感反演的城市地表温度的关系,初步确定了地表高温阈值并建立了高温遥感指标,并利用1989~2008年(缺2002年)6~9月NOAA/AVHRR资料开展了北京地区高温时空格局分析研究。指标初步研究表明:北京气温高温值为35、37、40℃对应的遥感地表高温值分别为44、47、52℃,可以较好地适用于北京平原地区;利用该阈值建立的地表高温强度指标(LSHI)对北京平原高温的监测与气象台站高温监测基本一致,而高温比例指数指标(LSHP)能有效反映出城市高温空间强弱和时间差异。北京遥感地表高温空间格局分析显示:夏季(6~8月)旬平均遥感地表温度≥44℃年出现概率不超过50%,广泛分布于城区和平原区;旬平均遥感地表温度≥47℃年出现概率不超过40%,集中于北京五环内;旬平均遥感地表温度≥52℃年出现概率不超过15%,集中于城区;6~9月高温出现的概率高值区一般都集中于五环内,其中旬平均遥感地表温度≥44℃、≥47℃、≥52℃的出现概率分别为80%~100%、60%~80%、10%~40%。
Remote sensing land surface high temperature indices of Beijing are built from NOAA18/AVHRR satellite data and meteorological station data. Based on these indices, high temperature spatiotemporal patterns were analyzed using data collected from 1989 to 2008 (lack 2002). Results show that remote sensing land surface temperatures of 44, 47, and 52 ℃ correspond to air temperatures of 35, 37, and 40 ℃, respectively. In addition, the authors found that high temperature indices retrieved from remote sensing are most suitable for high temperature analysis of the plain areas of Beijing. The high temperature characteristics reflected by the land surface high temperature intensity index are about the same as those from weather station data. The land surface high temperature proportion index is presented as a useful tool for explaining the intensity and spatial differences of high temperature. In summer (from June to August) the probabilities of ten-day average land surface temperatures≥44 ℃ are generally less than 50%, and are widely distributed in urban and plain area. Probabilities of ten-day average land temperatures ≥47 ℃ are generally less than 40%, and are concentrated within the five-circle regions. Probabilities of ten-day average land temperatures≥52 ℃ are generally less than 15%, and are concentrated within urban area. Between June and September, higher probabilities of high land surface temperature are concentrated in the five-circle area. The probabilities of ten-day average land surface temperature being≥44 ℃,≥47 ℃, and≥52 ℃ are 80%-100%, 60%-80%, and 10%-40%.