LIU Dan, YANG Feng-bao, LI Da-wei, LIANG Ruo-fei, FENG Pei-pei
(School of Information and Communication Engineering, North University of China, Taiyuan 030051, China)
Abstract： China has a vast territory with abundant crops, and how to collect crop information in China timely, objectively and accurately, is of great significance to the scientific guidance of agricultural development. In this paper, by selecting moderate-resolution imaging spectroradiometer (MODIS) data as the main information source, on the basis of spectral and biological characteristics mechanism of the crop, and using the freely available advantage of hyperspectral temporal MODIS data, conduct large scale agricultural remote sensing monitoring research, develop applicable model and algorithm, which can achieve large scale remote sensing extraction and yield estimation of major crop type information, and improve the accuracy of crop quantitative remote sensing. Moreover, the present situation of global crop remote sensing monitoring based on MODIS data is analyzed. Meanwhile, the climate and environment grid agriculture information system using large-scale agricultural condition remote sensing monitoring has been attempted preliminary.
Key words： moderate-resolution imaging spectroradiometer (MODIS) data; remote sensing monitoring; crops
CLD number： TP317.4Document code： A
Article ID： 1674-8042（2016）02-0193-012 doi： 10.3969/j.issn.1674-8042.2016.02.016
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基于MODIS数据的大尺度作物遥感监测综述
刘丹， 杨风暴， 李大威， 梁若飞， 冯裴裴
（中北大学 信息与通信工程学院， 山西 太原 030051）
摘要： 我国幅员辽阔， 作物种类丰富， 如何及时、 客观、 准确地收集我国作物信息， 对科学指导农业发展具有重要的意义。 本文以MODIS数据为主要信息源， 以农作物的波谱特性和生物学特性机理为基础， 开展利用MODIS数据的高光谱多时相及免费获取的优势， 进行大尺度农情遥感监测研究， 发展了适用的模型和算法， 实现大尺度主要作物类型信息的遥感提取和产量遥感估算， 提高了农作物遥感定量精度， 并探讨了基于MODIS数据的全球农作物遥感监测的现状。 同时， 针对大尺度农情遥感监测中涉及的农业气候环境网格信息系统做了初步尝试。
关键词： MODIS数据； 遥感监测； 作物
引用格式：LIU Dan, YANG Feng-bao, LI Da-wei, et al. Review of large scale crop remote sensing monitoring based on MODIS data. Journal of Measurement Science and Instrumentation, 2016, 7(2)： 193-204. ［doi： 10.3969／j.issn.1674-8042.2016.02.016］
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