标题:Monitoring of maize lodging using multi-temporal Sentinel-1 SAR data
作者:Shu, Meiyan; Zhou, Longfei; Gu, Xiaohe; Ma, Yuntao; Sun, Qian; Yang, Guijun; Zhou, Chengquan
作者机构:[Shu, Meiyan; Zhou, Longfei; Gu, Xiaohe; Sun, Qian; Yang, Guijun; Zhou, Chengquan] Beijing Res Ctr Informat Technol Agr, Key Lab Quantitat Remote Sens 更多
通讯作者:Gu, Xiaohe;Gu, XH
通讯作者地址:[Gu, XH]Beijing Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China.
来源:ADVANCES IN SPACE RESEARCH
出版年:2020
卷:65
期:1
页码:470-480
DOI:10.1016/j.asr.2019.09.034
关键词:Maize; Lodging; Polarization combination; Plant height; Lodging angle
摘要:Lodging is a common phenomenon in maize production, which seriously affects its yield, quality, and mechanical harvesting capacity. With good penetrating power, satellite radar can monitor crop growth even under cloudy weather conditions. In this study, a method based on the change in plant height before and after lodging in maize is proposed to calculate the lodging angle and monitor the lodging degree by using dual-polarization Sentinel-1A data. The results show that the optimal sensitive polarization combinations of maize plant height before and after lodging are VH/VV and VV, respectively. The lodging angle is calculated using the plant height inversion results before and after lodging. The overall accuracy of classifying lodging grade of maize is 67%. The proposed model based on lodging angle could effectively mapped the maize lodging range on a regional scale and classify the lodging grades. (C) 2019 COSPAR. Published by Elsevier Ltd. All rights reserved.
收录类别:EI;SCOPUS;SCIE
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85073071411&doi=10.1016%2fj.asr.2019.09.034&partnerID=40&md5=6faa3136fd8a26321cee6b1c5dad7927
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