1) 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。
2) land surface brightness temperature
地表亮度温度
3) brightress temperature
月表亮温
4) Residual of land bright temperature
地表亮温残差低频分量
5) 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。
6) land surface temperature
地表温度
1.
Study on land surface temperature vegetation cover relationship in urban region:a case in Shenzhen City;
城市地域地表温度-植被覆盖定量关系分析——以深圳市为例
2.
Methodology to retrieve land surface temperature from MODIS datafor agricultural drought monitoring in China;
农业旱灾监测中的地表温度遥感反演方法——以MODIS数据为例
3.
Retrieving land surface temperature-based on TM data from Kenli County,Shandong Province;
基于TM图像反演垦利县地表温度
补充资料:婞亮
1.刚直信实。
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