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基于GF-1卫星影像的青岛市冬小麦种植面积变化动态监测

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为准确获取青岛市冬小麦种植面积及空间分布变化特点,帮助相关部门优化种植结构,合理安排农业生产,研究利用GF-1 WFV卫星遥感影像,选择青岛市 2014-2021 年冬小麦种植面积遥感提取的最佳时相,采用图像监督分类法提取冬小麦的种植面积,并通过分类后比较法分析小麦种植面积的动态变化。结果表明:2014-2021 年青岛市冬小麦的种植面积为21。7 万~24。8 万hm2,2016 年小麦种植面积最大,2020 年最小,每年冬小麦种植面积波动范围为 0。3 万~2。7 万hm2;遥感提取的种植面积与统计部门提供的种植面积误差较小,误差百分率不超过6。5%;小麦与其他地物类型之间相互转换的差异很小,2014-2021 年逐年小麦转为其他地物的面积变化范围为 8。0 万~10。9 万hm2,其他地物转为小麦的面积变化范围为 7。9 万~11。4 万hm2。
Dynamic Monitoring of Winter Wheat Planting Area Changes in Qingdao Based on GF-1 Satellite Imagery
This study monitored the winter wheat planting area and its dynamics in Qingdao,aiming to help relevant departments optimize the planting structure and rationally arrange agricultural production.The GF-1 WFV satellite remote sensing images of the optimal phase were used for extracting the winter wheat planting areas in Qingdao from 2014 to 2021 by the supervised classification method.The post-classification comparison method was employed to analyze the dynamic changes in winter wheat planting area.The results showed that the winter wheat planting area in Qingdao ranged from 217 thousand to 248 thousand hectares during 2014-2021,with the largest area in 2016,the smallest area in 2020,and the annual fluctuations ranging from 3 thousand to 27 thousand hectares.The planting area extracted by remote sensing showed small differences(no more than 6.5%)from that provided by the statistical department.The difference in conversion between wheat and other ground features was small.During 2014-2021,the area of wheat that converted to other ground features ranged from 80 thousand to 109 thousand hectares every year,while the area of other ground features that converted to wheat ranged from 79 thousand to 114 thousand hectares.

GF-1 satellite imageryQingdaowinter wheatplanting areadynamic monitoringsupervised classification

刘学刚、李峰、王倩

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青岛市生态与农业气象中心,山东 青岛 266003

山东省气候中心,山东 济南 250031

青岛市气象台,山东 青岛 266003

GF-1卫星影像 青岛市 冬小麦 种植面积 动态监测 监督分类

山东省自然科学基金面上项目2022年青岛市气象台科研项目

ZR2020MF1302022qxtxm03

2024

湖南农业科学
湖南省农业科学院 湖南省科技厅星火促进会 湖南农业大学

湖南农业科学

影响因子:0.415
ISSN:1006-060X
年,卷(期):2024.(7)