项鑫,马林娜,路朋

• 1:北京四维远见信息技术有限公司
• 2:河南省煤田地质局物探测量队
• 3:河南省地质物探工程技术研究中心
• 4:河南四维远见信息技术有限公司

摘要(Abstract)：

针对现有植被水分反演算法在华北平原地区适用性差、反演精度低、不能实施有效监测的问题,该文基于地面实测冬小麦植被含水量(VWC)数据,基于归一化型和比值型植被水分指数这两种常见的指数类型,提出调节植被水分指数以削弱土壤背景的影响,使用多个波段反射率数据反演VWC,提高拟合精度80%以上,发展适用于华北平原的农作物水分含量反演模型。拟合冬小麦植被含水量的决定系数为0.51,均方根误差为0.95(kg·m~(-2))。结果表明:调节植被水分指数能够削弱土壤背景影响,大幅度提高植被水分反演精度;同一种指数计算形式中,在水汽吸收谷内,基于更长波段反射率的植被水分指数反演精度更高;归一化型和比值型植被水分指数在反演精度方面无明显优劣,归一化型植被水分指数反演精度。

关键词(KeyWords)： 调节植被水份指数;冬小麦含水量;遥感定量反演;华北平原地区适用性

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 项鑫,马林娜,路朋

DOI: 10.16251/j.cnki.1009-2307.2019.06.031

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