The relationship analysis of vegetation cover, rainfall and land surface temperature based on remote sensing in Tibet, China
Li Leilei; Fan Jianrong
2014-08
会议名称35th International Symposium on Remote Sensing of Environment (ISRSE35)
会议日期2013.04.22-26
会议地点Beijing
关键词vegetation cover rainfall land surface temperature
页码012034
通讯作者Fan Jianrong
中文摘要

The analyses of vegetation influenced by meteorological factors contribute to research the relationships between terrestrial ecosystems and climate changes. Using the data of normalized difference vegetation index, land surface temperature from MODIS satellite products and rainfall from TRMM satellite products to build 16-day data sequence from 2000 to 2011 years, this paper analyzed the spatial-temporal distribution of vegetation cover, land surface temperature and rainfall, and also discussed the relationships among three factors in Tibet. The results indicated that the mean vegetation coverage in August varied in the range of 0% to 99% depending on location. The southeastern part of Tibet had annual rainfall of 600~800 mm, whereas the western part suffered from drought with a value below 200 mm. The mean annual land surface temperature varied between −8.9°C and 16.3°C. During the whole year, the correlation coefficient between vegetation index and land surface temperature was the smallest in July. The correlation coefficient between vegetation index and rainfall was the biggest in September. Vegetation was influenced greater by the rainfall than land surface temperature from April to October in Tibet.

英文摘要

The analyses of vegetation influenced by meteorological factors contribute to research the relationships between terrestrial ecosystems and climate changes. Using the data of normalized difference vegetation index, land surface temperature from MODIS satellite products and rainfall from TRMM satellite products to build 16-day data sequence from 2000 to 2011 years, this paper analyzed the spatial-temporal distribution of vegetation cover, land surface temperature and rainfall, and also discussed the relationships among three factors in Tibet. The results indicated that the mean vegetation coverage in August varied in the range of 0% to 99% depending on location. The southeastern part of Tibet had annual rainfall of 600~800 mm, whereas the western part suffered from drought with a value below 200 mm. The mean annual land surface temperature varied between −8.9°C and 16.3°C. During the whole year, the correlation coefficient between vegetation index and land surface temperature was the smallest in July. The correlation coefficient between vegetation index and rainfall was the biggest in September. Vegetation was influenced greater by the rainfall than land surface temperature from April to October in Tibet.

会议主办者International Society for Digital Earth ; The Center for Earth Observation and Digital Earth (CEODE), Chinese Academy of Sciences
会议录Earth and Environmental Science
学科主题摄影测量与遥感技术
语种英语
内容类型会议论文
源URL[http://ir.imde.ac.cn/handle/131551/7544]  
专题成都山地灾害与环境研究所_数字山地与遥感应用中心
推荐引用方式
GB/T 7714
Li Leilei,Fan Jianrong. The relationship analysis of vegetation cover, rainfall and land surface temperature based on remote sensing in Tibet, China[C]. 见:35th International Symposium on Remote Sensing of Environment (ISRSE35). Beijing. 2013.04.22-26.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace