中国农业科学 ›› 2024, Vol. 57 ›› Issue (4): 663-678.doi: 10.3864/j.issn.0578-1752.2024.04.004

• 耕作栽培·生理生化·农业信息技术 • 上一篇    下一篇

基于物候信息图谱的耕地种植模式遥感监测方法

陶建斌1(), 王昀1, 张馨月1, 姜启樾1, 吴文斌2()   

  1. 1 华中师范大学城市与环境科学学院/地理过程分析与模拟湖北省重点实验室,武汉430079
    2 中国农业科学院农业资源与农业区划研究所/北方干旱半干旱耕地高效利用全国重点实验室,北京 100081
  • 收稿日期:2023-03-16 接受日期:2023-07-10 出版日期:2024-02-16 发布日期:2024-02-20
  • 通信作者:
    吴文斌,E-mail:
  • 联系方式: 陶建斌,E-mail:taojb@mail.ccnu.edu.cn。
  • 基金资助:
    国家重点研发计划(2022YFB3903504); 国家自然科学基金面上项目(41971371); 中央高校基本科研业务费项目(CCNU22JC022)

Remote Sensing Monitoring of Cropping Patterns Based on Phenology Information Atlas

TAO JianBin1(), WANG Yun1, ZHANG XinYue1, JIANG QiYue1, WU WenBin2()   

  1. 1 College of Urban and Environmental Sciences, Central China Normal University/Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Wuhan 430079
    2 Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences/State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Beijing 100081
  • Received:2023-03-16 Accepted:2023-07-10 Published:2024-02-16 Online:2024-02-20

摘要:

【目的】种植模式是作物种植的前后茬顺序的概括,反映耕地资源的利用方式和效率。本研究通过分析不同种植模式的物候特征,构建江汉平原地区的耕地物候信息图谱和种植模式谱,并实现该地区主要种植模式的提取。【方法】在地学信息图谱理论支持下,根据农作物种植的先验知识和不同种植模式所表现的物候差异,将植被指数变化过程和耕地利用方式的空间差异进行图谱合一的表达,组成包含耕地不同利用方式的耕地物候信息图谱;以江汉平原地区的主要种植模式为例,将关键物候期植被指数的状态进行排列组合,建立植被指数状态到种植模式的信息重映射规则,并在此基础上根据农作物特有的物候知识进行物候特征挖掘,进行江汉平原地区种植模式谱的构建;进而利用朴素贝叶斯网络融合关键物候期影像和物候知识实现江汉平原种植模式的提取。采用基于知识概率编码的方法,对关键物候期的植被指数状态进行定量表达。【结果】构建了江汉平原地区的种植模式谱,发现江汉平原地区的种植模式谱由8种种植模式构成:春单季、夏单季、春夏双季、夏秋双季、双季稻、经济作物、鱼塘、苗木或撂荒。提出的种植模式谱及基于朴素贝叶斯网络的种植模式提取方法能够准确地提取出所有种植模式,并具有良好的精度和适用性。江汉平原地区在研究时段内呈现显著的夏秋双季扩张,以及春夏双季和夏单季减少的趋势。【结论】种植模式谱全面反映了江汉平原地区种植模式的总体特征,提升了耕地利用方式监测的准确度,丰富了耕地资源利用方式的内涵。本文方法得到的种植模式分布图可以作为作物制图的基础底图数据,也是种植强度制图的重要依据。

关键词: 物候信息图谱, 种植模式, 种植模式谱, 贝叶斯网络, 江汉平原

Abstract:

【Objective】 Cropping patterns are a summary of crop sequence which reflects the use patterns and efficiency of cropland resources. Through analyzing the phenological differences of different cropping patterns, the cropland phenology information atlas and cropping pattern spectrum for croplands on the Jianghan Plain were constructed, and the major cropping patterns in this area were mapped. 【Method】 The cropland phenology information atlas including different cropland use patterns was formed through expressing graphically the spatial difference between vegetation index states and cropland use patterns, according to the prior knowledge of crop planting and the phenological differences of different cropping patterns under the framework of geo-information atlas. Taking the major cropping patterns on the Jianghan Plain as the study cases, the vegetation index states in the key phenological periods were arranged and combined to establish the information remapping rule from the vegetation index states to the cropping patterns, their phenological characteristics were explored, and the cropping pattern spectrum was constructed. Then the data during the key phenological periods and phenological knowledge were integrated to map cropping patterns on the Jianghan Plain by using the Naive Bayes Networks. The vegetation index states of the key phenological periods were quantitatively expressed by using the knowledge probability coding method.【Result】The cropping pattern spectrum on the Jianghan Plain was constructed, and it was found that the cropping pattern spectrum on the Jianghan Plain was composed of eight cropping patterns: Spring single-cropping, Summer single-cropping, Spring-and-Summer double-cropping, Summer-and-Autumn double-cropping, double-cropping paddy-rice, cash crops, aquaculture ponds, trees or abandoned croplands. The results showed that the proposed cropping pattern spectrum and the method of mapping cropping patterns based on the key phenological periods and the Naive Bayesian Networks could extract all cropping patterns accurately, at the same time, which had good performance and suitability. There was a significant trend of the expansion of Summer-and-Autumn double-cropping and the shrink of Spring-and-Summer double-cropping and the Summer single-cropping on the Jianghan Plain during the study period.【Conclusion】The cropping pattern spectrum gave a picture of the overall situation of intensive utilization of croplands on the Jianghan Plain, for improving the accuracy of monitoring the use of croplands and enriching the connotation of the use of cropland resources.

Key words: phenology information atlas, cropping pattern, cropping pattern spectrum, Bayesian Network, the Jianghan Plain