干旱区地理2024，Vol.47Issue(5)：850-860,11.DOI:10.12118/j.issn.1000-6060.2023.541
基于Sentinel-2的青铜峡灌区水稻和玉米种植分布早期识别
Early identification of rice and corn planting distribution in Qingtongxia irrigation area based on Sentinel-2
摘要
Abstract
Timely and accurate understanding of crop distribution within irrigation areas is essential for the effi-cient allocation of irrigation water resources and precise field management.This study focuses on the Qingtongx-ia irrigation area in Ningxia,China,employing multitemporal Sentinel-2 satellite data to analyze early character-istics of rice and maize.Key"flooding"and"vegetation"signals are extracted,and a time-series dataset compris-ing the modified normalized difference water index(MNDWI)and normalized vegetation index(NDVI)is con-structed.By analyzing sample thresholds for these key features,a decision tree model for the early planting distri-bution of rice and maize is established,facilitating the extraction of the spatial distribution for rice and maize planting in the Qingtongxia irrigation area in 2022.The results reveal the following:(1)During the latter half of the maize and rice seedling stages,from May 15 to 31,flooding and vegetation signals are crucial for differentiat-ing between the two crops.(2)Based on the early crop phenological characteristics,the mapping accuracy of rice and corn images obtained from May 16 to May 31 was higher than 90%,with user accuracy exceeding 91%and overall accuracy exceeding 90%.The Kappa coefficient was higher than 0.88,significantly higher than the classi-fication accuracy of the random forest classification method during the same period.(3)The proposed method demonstrates strong applicability in the early extraction of rice and maize planting distribution,requiring fewer ground samples for extension across both spatial and temporal scales.Therefore,this method provides significant support for early investigations of rice and maize planting distribution in the Qingtongxia irrigation area.关键词
青铜峡灌区/Sentinel-2/归一化植被指数/归一化差异水体指数/决策树/水稻/玉米Key words
Qingtongxia irrigation area/Sentinel-2/normalized vegetation index/normalized difference water index/decision tree/rice/maize引用本文复制引用
朱磊,王科,丁一民,孙振源,孙伯颜..基于Sentinel-2的青铜峡灌区水稻和玉米种植分布早期识别[J].干旱区地理,2024,47(5):850-860,11.基金项目
国家自然科学基金项目(52209059) （52209059）
宁夏自然科学基金优秀青年项目(2023AAC05013) （2023AAC05013）
宁夏回族自治区重点研发计划项目(2021BBF02027)资助 （2021BBF02027）
