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农作物种植结构遥感提取研究进展

胡琼 吴文斌 宋茜 余强毅 杨鹏 唐华俊

中国农业科学Issue(10):1900-1914,15.
中国农业科学Issue(10):1900-1914,15.

农作物种植结构遥感提取研究进展

Recent Progresses in Research of Crop Patterns Mapping by Using Remote Sensing

胡琼 1吴文斌 1宋茜 2余强毅 1杨鹏 3唐华俊1

作者信息

  • 1. 中国农业科学院农业资源与农业区划研究所/农业部农业信息技术重点实验室,北京 100081
  • 2. 华中师范大学城市和环境科学学院,武汉430079
  • 3. 黑龙江省农业科学院遥感技术中心,哈尔滨 150086
  • 折叠

摘要

Abstract

Mapping crop patterns with remote sensing is of great implications for agricultural production, food security and agricultural sustainability. In this paper, the theoretical basis behind the mapping was summarized, mapping methods were classified into several categories, characteristics and applicabilities of different mapping methods in the latest decade were discussed intensively, and some important directions and priorities for future studies were proposed. Currently, spectral, temporal and spatial features are the major theoretical bases for crop pattern mapping. The mapping method based on single imagery is characterized by its simple implementation, but with difficulty of capturing imagery at the best time for distinguishing different crops. Instead, the mapping method based on time-series of imagery can make full use of temporal features and is thus widely used for crop mapping, among which the methods using multiple features are more suitable than the ones using a single feature for regions with complicated planting structure. To some extent, feature-oriented statistical modeling method can resolve the mixed-pixel problem but its robustness needs to be improved. Furthermore, large-scale crop pattern mapping can be done by combining the remote sensing and agriculture statistics. However, due to coarse resolution, the derived maps show poor region suitability. Future crop pattern mapping should target at developing“a map of crops”, the emphasis must be put on covering more crop types, enlarging the mapping areas, utilizing the superiority of blending multi-source data, strengthening the data preprocessing, optimizing the feature extraction and classifier selection, and improving the temporal and spatial scales of crop pattern mapping so as to better meet the needs of multi-faceted agricultural applications.

关键词

农作物种植结构/遥感/分类/方法

Key words

crop pattern mapping/remote sensing/classification/methods

引用本文复制引用

胡琼,吴文斌,宋茜,余强毅,杨鹏,唐华俊..农作物种植结构遥感提取研究进展[J].中国农业科学,2015,(10):1900-1914,15.

基金项目

国家自然科学基金(41271112,41171328)、中央级公益性科研院所专项资金 ()

中国农业科学

OA北大核心CSCDCSTPCD

0578-1752

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