基于时序SAR影像水稻种植区提取研究
Research on extracting rice planting areas based on temporal SAR images
陈绍根 1马煜 1何奕萱1
作者信息
- 1. 成都市规划编制研究和应用技术中心,四川 成都 610100
- 折叠
摘要
掌握水稻种植面积是保障国家粮食安全的重要基础.针对云雨对光学遥感影像的影响而导致的难以准确提取水稻种植区的问题,本研究利用时间序列Sentinel-1雷达卫星数据,研究水稻生育期内,在VV和VH雷达极化影像的后向散射变化特征,并识别提取水稻种植区.研究结果表明,利用Sentinel-1 SAR时间序列数据,能较好地区分水稻和其他作物的明显差异,可为多云多雨的地区水稻种植信息提取提供一种新的思路.
Abstract
Mastering the planting area of rice is an important foundation for ensuring national food security.In response to the difficulty in accurately extracting rice planting areas caused by the impact of clouds and rain on optical remote sensing images,this study uses time series Sentinel-1 radar satellite data to study the backscatter changes in VV and VH radar polarization images during the rice growth period,and identifies and extracts rice planting areas.The research results indicate that using Sentinel-1SAR time series data can effectively distinguish the significant differences between rice and other crops and provide a new approach for extracting rice planting information in cloudy and rainy areas.
关键词
Sentinel-1A/双极化/时序SAR影像/水稻识别Key words
Sentinel-1A/dual polarization/time series SAR images/rice identification引用本文复制引用
出版年
2024
NETL
NSTL
万方数据