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| 农作物低温冷害监测评估及预报方法评述 | |
| 引用本文： | 程勇翔,王秀珍,郭建平,赵艳霞,黄敬峰. 农作物低温冷害监测评估及预报方法评述[J]. 中国农业气象, 2012, 33(2): 297-303 |
| 作者姓名： | 程勇翔 王秀珍 郭建平 赵艳霞 黄敬峰 |
| 作者单位： | 1. 浙江大学农业遥感与信息技术应用研究所,杭州310058;浙江大学环境修复与生态健康教育部重点实验室,杭州310058;石河子大学生命科学学院,石河子832000 2. 杭州师范大学遥感与地球科学研究院,杭州,311121 3. 中国气象科学研究院,北京,100875 4. 浙江大学农业遥感与信息技术应用研究所,杭州310058;浙江省农业遥感与信息技术重点研究实验室,杭州310058 |
| 基金项目： | “十二五”国家科技支撑计划课题（2011BAD32801）;国家科技支撑课题（2006BADl0A09-01）;国家“863”课题（2006AAl20101）;国家自然科学基金项目（40871158/D0106） |
| 摘 要： | 对作物冷害指标、风险及损失评估、监测和预报,以及近年来业务化应用的研究成果进行总结和归纳,比较了这些领域新老研究方法的优缺点.重点介绍3S技术和作物模型在这些领域的应用.探讨了遥感温度反演与冷害监测相结合的可行途径,作物模型用于区域冷害损失评估所需的尺度转换及相应冷害模块添加等问题.明确了新技术与冷害研究相结合过程中需要重点考虑和解决的关键技术难题.可为冷害研究的技术革新提供参考. |
| 关 键 词： | 低温冷害 遥感反演 作物模型 风险评估 损失评估 |
Methods Review of Monitoring, Evaluation and Forecasting of Crop Cold Damage |
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| CHENG Yong-xiang , WANG Xiu-zhen , GUO Jian-ping , ZHAO Yan-xia , HUANG Jing-feng. Methods Review of Monitoring, Evaluation and Forecasting of Crop Cold Damage[J]. Chinese Journal of Agrometeorology, 2012, 33(2): 297-303 | |
| Authors: | CHENG Yong-xiang WANG Xiu-zhen GUO Jian-ping ZHAO Yan-xia HUANG Jing-feng |
| Affiliation: | t ( 1. Institute of Remote Sensing and Information Application, Zhejiang University, Hangzhou 310058, China;2. Ministry of Education Key Laboratory of Environmental Remediation and Ecological Health, Zhejiang University, Hangzhou 310058 ;3. College of Life Science, Shihezi University, Shihezi 832000; 4. Institute of Remote Sensing and Earth Sciences, Hangzhou Normal University, Hangzhou 311121 ; 5. China Meteorological Institute, Beijing 100875 ; 6. Key Laboratory of Agricultural Remote Sensing and Information System, Zhejiang Province, Hangzhou 310058 ) |
| Abstract: | The advances in the study of cold damage indicators, cold damage monitoring, risk and loss assessment, cold damage forecast and business application were summarized in this paper. Comparison was carried out to their advantages and disadvantages of the traditional and new research methods in these areas. The application of 3S tech- nology and crop model in cold damage research was mainly introduced. The possible ways that combined remote sensing with cold damage monitoring was investigated in cold damage research. These issues were discussed such as crop model scale conversion and cold module adding at regional cold damage loss assessment. The challenges and difficulties in further research were also proposed. The results could provide reference for technical innovation of cold damage research. |
| Keywords: | Cold damage Remote sensing retrieval Crop model Risk assessment Loss assessment |
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