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作 者:宋文龙[1] 林胜杰 余琅[1] 仝道斌 卢奕竹[1] 刘军 刘宏洁 陈敏 SONG Wen-long;LIN Sheng-jie;YU Lang;TONG Dao-bin;LU Yi-zhu;LIU Jun;LIU Hong-jie;CHEN Min(China Institute of Water Resources and Hydropower Research,Beijing 100038,China;Sucheng DistrictWater Conservancy Bureau of Suqian City,Suqian 223800,China)
机构地区:[1]中国水利水电科学研究院,北京100038 [2]宿迁市宿城区水利局,江苏宿迁223800
出 处:《长江科学院院报》2025年第4期159-165,共7页Journal of Changjiang River Scientific Research Institute
基 金:江苏省水利科技项目(2021081)。
摘 要:灌溉面积是有效实施农业节水所需的基础性数据,传统调查统计方式已经不能满足当前灌溉面积监测需要。融合GF-1与Sentinel-2卫星影像,构建作物生育期的样本光谱,基于像元尺度光谱匹配方法协同提取江苏省宿迁市皂河灌区2017—2022年作物种植结构及实际灌溉面积。结果显示:皂河灌区的主要种植模式为水稻小麦轮作;灌区2017—2022年实际灌溉面积分别为85.11、91.91、103.65、95.85、97.72、88.24 km^(2)。基于样本点利用混淆矩阵对提取的实际灌溉面积结果进行精度验证,总体精度为89.71%,Kappa系数为0.80,监测结果精度较高且提取效果优于目前公开产品中精度较高的IrriMap_Syn产品及IWMI产品。该方法适用于南方灌区实际灌溉面积提取,可为灌区管理部门日常监管、优化水资源配置等提供技术与数据支持。Irrigated area is the basic data required for effective agricultural water conservation,yet traditional survey and statistical methods no longer meet current monitoring needs.In this research,GF-1 and Sentinel-2 satellite images were fused to construct the sample spectrum of crop growth period.Based on the pixel-scale spectral matching method,the crop planting structure and actual irrigated area of Zaohe irrigation district in Suqian City,Jiangsu Province from 2017 to 2022 were synergistically extracted.Results show that the main planting pattern in Zaohe irrigation district is rice-wheat rotation.From 2017 to 2022,the actual irrigated area was 85.11 km 2,91.91 km^(2),103.65 km 2,95.85 km 2,97.72 km^(2)and 88.24 km^(2).respectively.Validation using sample points and a confusion matrix yielded an overall accuracy of 89.71%and a Kappa coefficient of 0.80,indicating higher accuracy and better extraction effects compared to existing products like IrriMap_Syn and IWMI products.This method is suitable for extracting the irrigated area in south China,and can provide technical and data support for the daily supervision of management departments and the optimization of water resource allocation.
关 键 词:实际灌溉面积 种植结构 光谱匹配 遥感 皂河灌区
分 类 号:TP79[自动化与计算机技术—检测技术与自动化装置]
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