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基于改进NDBI指数的重庆市内环城市热岛效应分布特征研究 被引量:3
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作者 尹轶华 唐鸣放 《西部人居环境学刊》 2014年第3期45-49,共5页
对重庆市内环区进行研究,以2002年和2007年两景ETM+/TM影像为基础数据,反演提取归一化地表温度指数(NDSTI)及改进归一化建筑指数(NDBI)。研究结果较好地揭示了建设用地的NDBI与NDSTI、热岛效应等级的空间分布相关性规律;2002年重庆的内... 对重庆市内环区进行研究,以2002年和2007年两景ETM+/TM影像为基础数据,反演提取归一化地表温度指数(NDSTI)及改进归一化建筑指数(NDBI)。研究结果较好地揭示了建设用地的NDBI与NDSTI、热岛效应等级的空间分布相关性规律;2002年重庆的内环城区强热岛效应显著,范围广;2007年随着城市化扩张,老城区强热岛效应降级消失,新城区强热岛效应凸显、升级;两江、湖泊和山体植被是冷岛区,对城市热岛效应起分隔、调节作用。 展开更多
关键词 改进NDBI指数 归一化地表温度 城市热岛 重庆
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仪征地区农田深层土壤湿度遥感反演初探 被引量:18
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作者 魏国栓 沈润平 丁国香 《遥感技术与应用》 CSCD 2008年第1期36-41,共6页
利用MODIS合成产品数据MOD11A2和MOD13A2获取的陆地表面温度(Ts)和归一化植被指数(NDVI)构建Ts/NDVI特征空间,依据该特征空间计算温度植被干旱指数(TVDI),进而反演了仪征地区不同季节的40 cm土壤相对湿度。使用野外同步实测数据进行验证... 利用MODIS合成产品数据MOD11A2和MOD13A2获取的陆地表面温度(Ts)和归一化植被指数(NDVI)构建Ts/NDVI特征空间,依据该特征空间计算温度植被干旱指数(TVDI),进而反演了仪征地区不同季节的40 cm土壤相对湿度。使用野外同步实测数据进行验证,结果显示,总体平均相对误差为11.83%,2004年11月误差最小,为4.30%。遥感反演的仪征地区土壤湿度分布图表明该地区存在两个土壤湿度高值区,分别位于仪征南部的长江冲积平原和西北部的谷底平原地带,并且土壤平均相对湿度越大,其高值区与低值区之间的差异越小。 展开更多
关键词 温度植被干旱指数 MODIS产品数据 土壤湿度 地表温度/归一化植被指数
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An Assessment of Urban Heat Island Effect using Remote Sensing Data 被引量:3
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作者 王桂玲 蒋维楣 魏鸣 《Marine Science Bulletin》 CAS 2008年第2期14-25,共12页
Characteristics of urban heat island (UHI) effect and its cause are investigated by using MODIS data in April 2004. Surface parameters from the MODIS data have surface temperature (ts) albedo(α), and normalized... Characteristics of urban heat island (UHI) effect and its cause are investigated by using MODIS data in April 2004. Surface parameters from the MODIS data have surface temperature (ts) albedo(α), and normalized difference vegetation index (NDVI). Their heterogeneities over urban and rural area are analyzed based on land cover classification, and their relations are also presented in order to explain the UHI effect. The results show that there exists obvious the UHI effect. Ts over urban areas are by 10.83 % higher than those over rural area, and NDVI and α over urban area are by 62 % and 18.75 % less than those over rural area, respectively. Surface temperature has significantly negative correlation with NDVI and their correlation coefficient is -0.73. Correlation between NDVI and albedo is determined by the spectrum of light. Difference in vegetation cover is the primary cause of the UHI effect. 展开更多
关键词 remote sensing MODIS urban heat isiand surface temperature NDVI ALBEDO
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Study on the Urban Heat Island Effects and Its Relationship with Surface Biophysical Characteristics Using MODIS Imageries 被引量:1
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作者 ZENG Yongnian HUANG Wei +2 位作者 ZHAN E Benjamin ZHANG Honghui LIU Huimin 《Geo-Spatial Information Science》 2010年第1期1-7,共7页
This study assesses surface urban heat island (UHI) and its associated surface physical characteristics using remote sensing approaches. TERRA/MODIS images acquired in 2005 in three different seasons were selected to ... This study assesses surface urban heat island (UHI) and its associated surface physical characteristics using remote sensing approaches. TERRA/MODIS images acquired in 2005 in three different seasons were selected to generate land surface tem-perature and surface characteristics for the Changsha-Zhuzhou-Xiangtan metropolitan area in China. The intensity of urban heat is-land effects and its seasonal variations were examined. The result showed that UHI effects were significant both in the summer and the spring. Land surface temperatures in the city were 8 ℃ to 10℃ warmer than those in surrounding rural areas in the spring and the summer seasons. Although UHI effects exist in winter, they are not significant. Land surface temperature in the city was 4℃ warmer than that in surrounding rural areas in winter. This study uses normalized difference vegetation index (NDVI) and normal-ized difference built-up index (NDBI) as indicators of surface physical characteristics and investigates the relationship among land surface temperature (LST), NDVI and NDBI. The results from this study indicate that, while the relationship between LST and NDVI changes in different seasons, there is a strong positive linear relationship between NDBI and LST for all seasons. The amount of slope and intercept of the linear relationship between NDBI and LST can indicate the magnitude of UHI for different seasons. This finding suggests that NDBI provides an alternative physical indicator for analyzing LST quantitatively over different seasons, and therefore providing a useful way to study UHI effects using remote sensing. 展开更多
关键词 urban heat island biophysical indicators MODIS image Changsha-Zhuzhou-Xiangtan area China
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