基于多源遥感数据的冬小麦倒伏面积提取技术研究

打开文本图片集

中图分类号：S127 文献标志码：A 文章编号：2096-3599（2025）03-0129-08

DOI：10.19513/j.cnki.hyqxxb.20240704001

AbstractIn order to quickly and accurately extract the lodging area of winter wheat，two lodging processes in Dezhou are taken as research cases.The data of GF-6 satelite and synthetic aperture radar aboard Sentinel-1 satelite are used to accurately extract the lodging area of the winter wheat according to different spectral characteristics of lodging wheat and normal wheat. The results are as follows.（1）The spectral analysis of normal wheat and lodging wheat shows that the reflectance of the green light band in the GF-6 image and the backscattering intensityin the VH（vertical-horizontal）image are significantly higher in the latter thanin the former.（2）The lodging area of winter wheat extracted from these two features is generally larger than the measured area.When the lodging isserious，the relative error percentage ranges from 3.1% to 4.6% . Compared with the serious lodging，the relative error of extraction is larger in mild lodging. （3） The extraction result based on GF-6 satellite is more accurate when lodging and waterloging are present at the same time.The research results provide reference for further improving the precision of extracting lodging area of winter wheat，and provide data support for timely prevention of and remedy for winter wheat lodging.

Keywordswinter wheat; remote sensing； lodging; image processing;extract

0 引言

冬小麦是中国主要粮食作物之一，是中国主要冬小麦产区。（剩余8338字）