摘要
以TM/ETM+影像为数据源,利用自动分类与目视解译相结合的方法提取了研究区1992~2001年共5个时相的土地利用信息;采用SEBAL模型估算影像过境当天的日蒸散量;最后对蒸散与土地利用变化、植被覆盖度及地表温度等地表参数之间的关系进行了相关性分析。结果表明:水体、湿地具有较高的日蒸散量,草地、旱地、林地次之,盐碱地、居民地最低。说明蒸散与地表温度、植被覆盖度等密切相关,土地利用变化是引起上述变化的主要驱动力之一。
Land nse information over the study area of 5 phases from 1992a to 2001a was obtained by using automatic classification combined with eyesight interpretation method with TM/ETM + images as data source, and daily ET was retrieved by using SEBAL model. Finally, relationships between ET and land use change and land surface parameters were analyzed. The results indicated that water-body and wetland had the highest daily ET rate, grass-land, dry cropland and forest took the second place, salinity affected area and residential area were at the lowest. In places where vegetations were well, correlated relationship between daily ET and vegetation cover is linearly correlated, R2 ranged from 0. 5 to 0. 6 ; the relationships between daily ET and land surface temperature were remarkable negative correlated, and R2 were above 0. 87.
出处
《测绘科学》
CSCD
北大核心
2010年第3期26-29,共4页
Science of Surveying and Mapping
基金
中国科学院知识创新工程领域前沿项目(C08Y46)
国家自然科学基金项目(40871187)
关键词
蒸散
土地利用
植被覆盖度
地表温度
evapotranspiration
land use
vegetation coverage
land surface temperature