摘要
气温作为重要的气候资源之一,在植被长势、农业灾害和气候变化研究中发挥着举足轻重的作用。目前大尺度农业、气候模型都需要空间分布的气温作为输入参数。除了用有限的台站数据空间插值获取气温栅格化数据外,遥感技术更为连贯精细的气温空间观测提供了有力的数据支持。为服务区域尺度气温相关的科研及业务工作,论文首先介绍了目前国内外气温遥感估算的主要方法,包括简单统计法、高级统计法、温度-植被指数分析法(TVX法)、地表能量平衡法及大气温度廓线外推法。再根据实际应用需要,重点总结比较了最高、最低和平均气温及不同时空尺度气温的遥感估算特点。最后讨论了气温遥感估算在实际应用中存在的问题并探讨了未来的研究趋势。
As an important climate resource, near surface air temperature plays an essential role in driving the vegetation growth, monitoring agro-meteorological disasters and global change. The spatially continuous air temperature images, which can be better derived from remotely sensed data than interpolated of meteorological data from limited ground stations, are required as the important input parameters by several environmental models at the regional scale. To serve and support the scientific research and business work concerning the distribution of air temperature at regional scale, in this paper, we firstly introduced the main five categories of methods to estimate air temperature from remotely sensed thermal data, including simple statistical approaches, the advanced statistical approaches, the temperature- vegetation index （TVX）, the method based on surface energy balance and the one based on temperature lapse rate. Then, the approaches of maximum, minimum and mean air temperatures estimation were discussed in more details, followed by the comparison of air temperature estimation at different temporal and spatial scales. Finally, the problems and prospects for remotely sensed estimation of air temperature were summarized.
出处
《自然资源学报》
CSSCI
CSCD
北大核心
2014年第3期540-552,共13页
Journal of Natural Resources
基金
公益性行业(气象)科研专项(GYHY201306036)
国家科技支撑计划(2012BAH29B04)
关键词
农业资源利用
遥感
气温
地表温度
agricultural resource utilization
remote sensing
air temperature
land surfacetemperature
