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| Framework of SAGI Agriculture Remote Sensing and Its Perspectives in Supporting National Food Security |
| SHI Yun, JI Shun-ping, SHAO Xiao-wei, TANG Hua-jun, WU Wen-bin, YANG Peng, ZHANG, Yong-jun , Shibasaki Ryosuke |
1、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
2、Earth Observation Data Integration and Fusion Research Initiative, The University of Tokyo, Tokyo 1500042, Japan
3、School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, P.R.China |
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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 sufficient 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 groundintegrated (SAGI) agricultural remote sensing for use in comprehensive agricultural monitoring, modeling, and management. The prototypes of SAGI agriculture remote sensing are first 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.
Abstract 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 sufficient 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 groundintegrated (SAGI) agricultural remote sensing for use in comprehensive agricultural monitoring, modeling, and management. The prototypes of SAGI agriculture remote sensing are first 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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Received: 08 May 2014
Accepted:
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| Fund: This work was jointly supported by the Opening Project of the Key Laboratory of Agri-Informatics, Ministry of Agriculture of China (2012004), the National Basic Research Program of China (973 Program, 2010CB951500), the Innovation Project of Chinese Academy of Agricultural Sciences, the National Natural Science Foundation of China (41301365), and the National High-Tech R&D Program of China (863 Program, 2013AA12A401). |
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Corresponding Authors:
JI Shun-ping, Tel: +86-27-68778546, E-mail: jishunping@whu.edu.cn
E-mail: jishunping@whu.edu.cn
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| About author: SHI Yun, Tel: +86-10-82105073, E-mail: shiyun@caas.cn |
Cite this article:
SHI Yun, JI Shun-ping, SHAO Xiao-wei, TANG Hua-jun, WU Wen-bin, YANG Peng, ZHANG , Yong-jun , Shibasaki Ryosuke.
2014.
Framework of SAGI Agriculture Remote Sensing and Its Perspectives in Supporting National Food Security. Journal of Integrative Agriculture, 13(7): 1443-1450.
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