杭州师范大学学报（自然科学版）2024，Vol.23Issue(2)：209-217,9.DOI:10.19926/j.cnki.issn.1674-232X.2022.12.201
基于多时相Sentinel-2卫星影像的冬小麦面积提取
Area Extraction of Winter Wheat Based on Multi-temporal Sentinel-2 Satellite Images
摘要
Abstract
Timely and accurate extraction of winter wheat planting information is of great research significance for remote sensing monitoring of winter wheat growth.In this study,the Sentinel-2 satellite remote sensing images of winter wheat during overwintering stage(2021-12-04),flowering stage(2022-04-08)and milk ripening stage(2022-05-03)in Yuhang District were used as data sources.The winter wheat planting area was extracted by the maximum likelihood classification,support vector machine,normalized difference vegetation index(NDVI)addition and subtraction synthetic operation methods,respectively.Combining the field survey data with the measured planting area of winter wheat,the accuracy of the results extracted by different classification methods were evaluated.The results showed that using threshold value of NDVI during overwintering stage to mask evergreen vegetation areas(tea garden,woodland)and performing addition operations on the NDVI values of non-evergreen vegetation areas(buildings,water bodies,winter wheat)during flowering and milk ripening stages was the optimum method for extracting the planting area of winter wheat in Yuhang District,with an area accuracy of 91.96％.The results indicated that multi-temporal remote sensing images combined with the phenological characteristics of vegetation and typical land types could obtain high-precision planting area extraction of winter wheat.关键词
冬小麦/Sentinel-2卫星/多时相遥感影像/植被分类/种植面积提取Key words
winter wheat/Sentinel-2 satellite/multi-temporal remote sensing image/vegetation classification/planting area extraction分类
信息技术与安全科学引用本文复制引用
陈雨琪,席瑞,陈佳麒,章健,高国军,刘海威,盛莉,王福民,刘占宇..基于多时相Sentinel-2卫星影像的冬小麦面积提取[J].杭州师范大学学报（自然科学版）,2024,23(2):209-217,9.基金项目
国家自然科学基金面上项目(4085F40216038) （4085F40216038）
浙江省"三农九方"科技协作计划项目(2024SNJF032). （2024SNJF032）
