人民黄河2024，Vol.46Issue(7)：131-137,7.DOI:10.3969/j.issn.1000-1379.2024.07.022
基于时序Sentinel-2影像的引黄灌区作物结构提取和供需水分析
Extraction of Crop Structure and Analysis of Water Supply and Demand in Irrigation Area of Yellow River Diversion Based on Sentinel-2 Image
摘要
Abstract
Under the background of strict control of water consumption index in the Yellow River Basin,taking Kenli District of Dongying City,Shandong Province as an example,NDVI time series of crop growth period was built by using Sentinel-2 remote sensing images in 2022,and the crop planting structure in the irrigation area was extracted by decision tree classification method.Based on the meteorological data of Kenli Station and Penman-Monteith formula,the water demand characteristics of each crop during 1973 to 2022 were analyzed,and the area results of each crop interpreted by remote sensing images were used as the base.The total irrigation water demand of crops in 2022 under different precipitation guarantee rates(5%,25%,50%,75%and 95%)was calculated,and the balance between supply and demand of irrigation water resources was explored combined with the irrigation water index allocated to crops in 2023.The results show that the deci-sion tree classification method based on NDVI time series can effectively extract the planting structure of crops,the overall classification ac-curacy is 85.07%,and the Kappa coefficient is 0.819,which can meet the research of crop irrigation water requirement.The net irrigation water requirement of crops is fluctuated greatly from year to year,and the supplementary irrigation amount of rice and winter wheat ranked first and second among all crops,with an average of 913 mm and 410 mm respectively.For summer corn and summer soybean growing in rainy season,the amount of supplementary irrigation is smaller and the average irrigation demand is lower.The irrigation water deficit alloca-ted in the study area in 2023 is 2.355 million m3 at 50%guarantee rate,and 17.545 million and 22.615 million m3 at 75%and 95%guaran-tee rates.关键词
Sentinel-2影像/种植结构/需水特性/灌溉水供需/引黄灌区Key words
Sentinel-2 image/planting structure/water demand characteristics/irrigation water supply and demand/Yellow River diversion irrigation area分类
农业科技引用本文复制引用
孙斌,毕春宁,薛建春,毕华军,孙力,许建辉,李斌..基于时序Sentinel-2影像的引黄灌区作物结构提取和供需水分析[J].人民黄河,2024,46(7):131-137,7.基金项目
国家自然科学基金资助项目(42061051) （42061051）
内蒙古自然科学基金资助项目(2021LHMS07002) （2021LHMS07002）
