1) ground brightness temperature
地面亮温
1.
This paper simulated the ground brightness temperature in the city area using the thermal infrared remote sensing images data (Landsat ETM+) based on Remote Sensing (RS) and Geographical Information System (GIS) technologies.
本文利用遥感和GIS技术对LandsatETM+热红外遥感数据进行处理,反演市区的地面亮温,并进行正规化处理和等级划分,研究城市热岛的时空变化规律和温度场的空间分布规律,揭示城市热岛效应空间格局。
2.
The Urumqi City s ground brightness temperature in August 2005 was back deduced according to the values of the thermal infrared image brightness,releasing the spatial structure of urban heat island effect.
以乌鲁木齐市区为研究对象,利用ASTER热红外波段计算模式,根据热红外图像的亮度值反演出乌鲁木齐市2005年8月的地面亮温,揭示城市热岛效应空间格局。
3.
Based on the remote sensing(RS) and geographic information system(GIS),the thermal infrared remote sensing data(Landsat TM/ETM+) of different periods was used to retrieve the ground brightness temperature.
本文利用遥感(RS)和地理信息系统(GIS)技术对哈尔滨市不同年代时相的LandsatTM/ETM+热红外遥感数据进行地面亮温反演、正规化和等级划分等处理,研究城市热岛的时空变化和温度场空间分布规律,进而揭示城市热岛效应的分布范围和发展趋势。
2) brightness temperature
地表亮温
1.
The brightness temperature data,whose reliability is verified by the observed air temperature,and NDVI data of Hangzhou urban city was acquired from ETM+ image.
通过对杭州市区ETM+遥感影像数据的处理,提取该区域地表亮温和NDVI数据,并结合实测温度对亮温数据的可靠性进行了验证。
3) land surface brightness temperature
地表亮度温度
4) brightness temperature
亮温
1.
Time series analysis of SSM/I microwave radiometer brightness temperature in Antarctica;
南极地区SSM/I微波辐射计亮温时间序列分析
2.
The maximum pixel scale is circumscribed using geostatistics technology,and the downscaling methods are applied to both brightness temperature and land surface temperature(LST) starting with resolution of 90m.
利用ASTER数据反演亮温和地表温度,并对二者差异进行对比;利用地统计学界定采样的最大尺度范围,并分别将亮温和地表温度影像以原分辨率为基础进行尺度下推分析,在多尺度分割基础上,构建热岛面积百分比、热岛强度两个指标,用于表征城市热岛尺度效应的差异性。
3.
The key issue in external calibration of microwave radiometer on board satellite is the determination of brightness temperature on the pupil of antenna by using radiative transfer equation.
星载微波辐射计外定标的关键问题是通过辐射传输方程计算天线入瞳处亮温。
5) Land surface temperature
地面温度
1.
It is an important and very challenging work to retrieve land surface temperature from thermal remote sensing images.
回顾了多年来该领域的研究进展 ,对基于地表温度的计算过程进行了详细的推导 ,得出两种目前常用的基于气象卫星 NOAA AVHRR数据的计算公式 ,在此基础上 ,给出了1 999年黄淮海地区地面温度的计算实
2.
Based on temperature image data(production 2B03) acquired by ASTER sensor in April 2005 and processed by ERSDAC,the distribution characteristics of land surface temperature in ancient city of Suzhou have been analyzed quantitatively.
利用ASTER热红外遥感数据,定量分析了苏州市古城区地面温度分布特征,研究显示:2005年春古城区白天地面温度差异在15℃以上,按影像像元值的空间聚集情况,城内地面温度可分为高、中、低3个等级区。
6) Surface temperature
地面温度
1.
4,2003,this paper conducts a surface temperature caliberation in Nanchang City,Jiangxi Province after atmospheric and emmisive correction.
在遥感图像处理系统的支持下,利用2003年2月4日的Landsat ETM+第六波段数据,经过大气和比辐射率校正后,反演南昌市主城区的地面温度,得出南昌市主城区冬季地面温度场的分布规律。
2.
Based on the parallel comparison of original base stations during the transition from manual observation to automatic observation and the 0 centimeter temperature data from parallel observation of base stations in 2005 in China,the analyses are made on the differences between automatic-observed and manual-observed surface temperature data in time scales of day,month and year.
使用我国在人工观测向自动观测转变时原基本(准)站的平行对比观测及2005年基准站平行观测的地面温度资料,进行了自动站观测与人工观测地面温度资料在日、月、年不同时间尺度上的差异分析。
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