首页> 中文期刊> 《农业科学学报(英文版)》 >Framework of SAGI Agriculture Remote Sensing and Its Perspectives in Supporting National Food Security

Framework of SAGI Agriculture Remote Sensing and Its Perspectives in Supporting National Food Security

         

摘要

Remote sensing, in particular satellite imagery, has been widely used to map cropland, analyze cropping systems, monitor crop changes, and estimate yield and production. However, although satellite imagery is useful within large scale agriculture applications (such as on a national or provincial scale), it may not supply sufifcient information with adequate resolution, accurate geo-referencing, and specialized biological parameters for use in relation to the rapid developments being made in modern agriculture. Information that is more sophisticated and accurate is required to support reliable decision-making, thereby guaranteeing agricultural sustainability and national food security. To achieve this, strong integration of information is needed from multi-sources, multi-sensors, and multi-scales. In this paper, we propose a new framework of satellite, aerial, and ground-integrated (SAGI) agricultural remote sensing for use in comprehensive agricultural monitoring, modeling, and management. The prototypes of SAGI agriculture remote sensing are ifrst described, followed by a discussion of the key techniques used in joint data processing, image sequence registration and data assimilation. Finally, the possible applications of the SAGI system in supporting national food security are discussed.

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  • 来源
    《农业科学学报(英文版)》 |2014年第7期|1443-1450|共8页
  • 作者单位

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 10008, P.R.China;

    School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, P.R.China;

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 10008, P.R.China;

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 10008, P.R.China;

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 10008, P.R.China;

    Key Laboratory of Agri-Informatics, Ministry of Agriculture/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 10008, P.R.China;

    School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, P.R.China;

    Earth 0bservation Data Integration and Fusion Research Initiative, The University of Tokyo, Tokyo 1500042, Japan;

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  • 正文语种 eng
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