Monitoring of maize lodging using multi-temporal Sentinel-1 SAR data

被引：50
|
作者：
Shu, Meiyan [1 ,2 ,4 ]
Zhou, Longfei [1 ,2 ,3 ]
Gu, Xiaohe [1 ,2 ]
Ma, Yuntao [4 ]
Sun, Qian [1 ,2 ,3 ]
Yang, Guijun [1 ,2 ,3 ]
Zhou, Chengquan [1 ,2 ,3 ]
机构：
[1] Beijing Res Ctr Informat Technol Agr, Key Lab Quantitat Remote Sensing Agr, Minist Agr, Beijing 100097, Peoples R China
[2] Natl Engn Res Ctr Informat Technol Agr, Beijing 100097, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Geomat, Qingdao 266590, Peoples R China
[4] China Agr Univ, Coll Land Sci & Technol, Beijing 100094, Peoples R China
来源：
ADVANCES IN SPACE RESEARCH | 2020年 / 65卷 / 01期
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
Maize; Lodging; Polarization combination; Plant height; Lodging angle; GRAIN QUALITY; RICE; YIELD; RETRIEVAL; CANOPY; INDEX; WHEAT;
D O I：
10.1016/j.asr.2019.09.034
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
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.
引用
收藏
页码：470 / 480
页数：11
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