农学学报2026，Vol.16Issue(5)：71-78,8.
基于机器学习及多源遥感技术的区域水稻种植面积提取方法
A Method for Extracting Regional Rice Planting Area Based on Machine Learning and Multi-Source Remote Sensing Technology
摘要
Abstract
To accurately monitor the distribution and scale of rice cultivation,address the needs for rapid assessment of rice yields,agricultural water management,and decision support,this study utilizes domestic satellite data to develop a rapid identification strategy for county-level adaptive rice planting areas.It conducts an in-depth analysis of the scattering characteristics and spectral changes of rice echoes.Combining multi-temporal high-resolution images from the Gaofen-2 satellite with normalized vegetation index(NDVI)and other information,the study initially identifies rice planting areas.Based on this,synthetic aperture radar(SAR)images are used to extract the backscattering characteristics of various ground objects under VV polarization mode,generating time-series feature curves.Savitzky-Golay filtering technology is applied to reduce noise interference.Finally,a random forest classification model is used to extract spatial distribution information of rice planting.This study has specifically designed a rice recognition scheme,achieving a completeness accuracy of 92.65%and a quality of 92.82%,surpassing the precision of conventional foreign satellite recognition methods.The research verifies the technical advantages of domestic satellites in fine crop identification,and provides an efficient solution for food security monitoring,farmland management optimization and disaster loss assessment.关键词
机器学习/雷达/多光谱/多源遥感/区域水稻/归一化植被指数/随机森林Key words
machine learning/radar/multispectral/multi-source remote sensing/regional rice/normalized vegetation index/random forest分类
农业科技引用本文复制引用
樊冰,王训诗,赵香玲,马良,黄乾,李福林,曾庆飞..基于机器学习及多源遥感技术的区域水稻种植面积提取方法[J].农学学报,2026,16(5):71-78,8.基金项目
山东省重点研发计划"大型喷灌装备关键技术研发与应用课题三"(重大科技创新工程2022CXGC2020707) （重大科技创新工程2022CXGC2020707）
山东省水利科学研究院自选课题"无人机雷达技术在山丘区水利测绘中的研究与应用"(SDSKYZX202105) （SDSKYZX202105）
山东省水利科技计划"湖东滞洪区洪水演进三维仿真及人员避险转移风险模拟、安全监测技术研究与应用"(HDZHQ-KY2020). （HDZHQ-KY2020）
