热带地理 ›› 2017, Vol. 37 ›› Issue (3): 434-442.doi: 10.13284/j.cnki.rddl.002954
• 论文 • 上一篇
刘礼杨1,3,苏泳娴2,陈修治3,邵怀勇1
出版日期:
2017-05-05
发布日期:
2017-05-05
作者简介:
刘礼杨(1992―),男,四川泸州人,硕士,研究方向为地表干旱模型的构建与改进,(E-mail)lly_cdut@163.com。
LIU Liyang1,3,SU Yongxian2,CHEN Xiuzhi3,SHAO Huaiyong1
Online:
2017-05-05
Published:
2017-05-05
摘要: 基于2009年的AMSR-E/Aqua L2A亮度温度数据,以中国中部和南部地区为研究对象,根据地区干湿差异,以秦岭―淮河线为界,结合旱季(10月―次年3月)和雨季(4―9月),将研究区划分为北方雨季、北方旱季、南方雨季和南方旱季4种情况。利用逐步回归分析方法,分别进行地表温度反演独立建模,构建了基于AMSR-E四波段亮度温度的地表温度多元回归反演模型,回归方程的RMSE除北方雨季外均优于3.0 K。以2010年MODIS LST产品对模型进行验证,结果表明:该模型的地表温度反演平均误差约80%被控制在2.5 K以内,南方旱季平均误差<2.5 K的区域面积甚至达到88.64%。文章主要是针对水汽对微波的影响,根据地区干湿差异和旱季、雨季差异而构建的地表温度经验模型,可为其他经验性方法构建提供新的思路。
刘礼杨,苏泳娴,陈修治,邵怀勇. 一种针对旱季与雨季差异的AMSR-E被动微波 遥感地表温度反演经验模型 [J]. 热带地理, 2017, 37(3): 434-442.
LIU Liyang,SU Yongxian,CHEN Xiuzhi,SHAO Huaiyong. AMSR-E Passive Microwave Remote Sensing Surface Temperature Inversion Experimental Model Focused on Differences between Dry Season and Rainy Season[J]. TROPICAL GEOGRAPHY, 2017, 37(3): 434-442.
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