摘要
为了研究基于中分辨率遥感数据进行省市级以上大尺度小麦遥感监测的技术方法的可行性和可靠性,同时探索河南省省市级小麦种植分布的时空特征。借助哨兵2号(Sentinel-2A)卫星遥感影像,使用物候信息的阈值法提取出了2018—2022年河南省小麦种植面积及其分布,并将其结果与统计结果进行对比分析。基于Sentinel-2A卫星遥感影像提取的河南省小麦种植面积与统计种植面积具有强相关性(R2=0.8159)。从空间上看,河南省小麦种植主要集中在北部、东部地区和南部地区,其中驻马店市、周口市小麦种植面积较大,济源市、三门峡市小麦种植面积较小。从时间上看,2018—2019年河南省小麦种植面积呈增长趋势,而在2019—2022年河南省小麦种植面积呈缓慢递减趋势,通过分析发现:地理位置、自然资源、气候变化、人口老龄化、城市发展进程和政府支持政策是影响小麦种植面积变化的重要因素。
This study aimed to investigate the feasibility and reliability of using mid-resolution remote sensing data to detect large-scale wheat through remote sensing at the municipal and provincial levels.It also explored the spatio-temporal distribution characteristics of wheat planting in Henan Province at the municipal and provincial levels.The wheat planting area and distribution in Henan Province from 2018 to 2022 were extracted by using the threshold method of the phenology information based on Sentinel-2A satellite remote sensing images.The results were compared with the statistical results.There was a strong correlation between wheat planting area in Henan Province extracted from Sentinel-2A satellite remote sensing images and statistical planting area(R2=0.8159).Spatially,wheat planting in Henan Province was mainly concentrated in the northern,eastern,and southern regions,with larger planting areas in cities such as Zhumadian and Zhoukou and smaller planting areas in cities such as Jiyuan and Sanmenxia.Temporally,the wheat planting area in Henan Province showed an increasing trend from 2018 to 2019 but a slow decreasing trend from 2019 to 2022.The analysis shows that geographical location,natural resources,climate change,aging population,urban development,and government support policies are all important factors affecting changes in wheat planting areas.
作者
詹志文
徐凤喜
朱玉香
ZHAN Zhiwen;XU Fengxi;ZHU Yuxiang(Jiangxi Natural Resources Surveying and Monitoring Institute,Nanchang Jiangxi 330002,China;Henan Collage of Surveying and Mapping,Zhengzhou Henan 451464,China)
出处
《北京测绘》
2024年第3期381-386,共6页
Beijing Surveying and Mapping
基金
河南省高等学校重点科研项目(20B170002)。
