基于MoDls遥感数据地表水汽压估算
收稿日期: 2010-01-01
修回日期: 2010-05-01
网络出版日期: 2010-09-25
基金资助
国家科技支撑计划课题(2008BAC34B06, 2006BAB04A16)
Estimation of the Surface Vapor Pressure Based on the MODIS Images
Received date: 2010-01-01
Revised date: 2010-05-01
Online published: 2010-09-25
黄耀欢, 江东, 庄大方, 付晶莹 . 基于MoDls遥感数据地表水汽压估算[J]. 地理科学进展, 2010 , 29(9) : 1137 -1142 . DOI: 10.11820/dlkxjz.2010.09.017
Surface vapor pressure (SVP) is a highly significant variable for physically based ecosystem, hydrology and climate modeling without available regional spatially representative data currently. Conventional field observation SVP data is spatial discontinuous and time-consuming, so MODIS images are used to estimate the mean daily SVPin the Haihe River basin. Firstly, correlation analysis is taken and it is found that there are significant correlations between the dataset of precipitable water vapor low in MOD07 images and field observed SVP. Secondly, comparison of the models based on correlation analysis shows that second-order polynomial regression is the most suitable one for evaluating SVP in the Haihe river area. Finally, a series of MOD07 images from January to April of 2009 are used to validate the proposed second-order polynomial model. The result shows that the estimated value is close to the observed value, and their slope and R2 of 1:1 line analysis are 0.918 and 0.83, respectively. The results indicated that the proposed PWV-SVP model is effective for obtaining SVP data at a regional scale.
Key words： Haihe River; MODIS; precipitable water vapor; surface vapor pressure
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