[1]郭建茂,王锦杰,吴越,等.基于卫星遥感与气象站点数据的水稻高温热害监测和评估模型的改进[J].自然灾害学报,2018,(01):163-174.[doi:10.13577/j.jnd.2018.0120]
 GUO Jianmao,WANG Jinjie,WU Yue,et al.Improvement of model on rice heat injury monitor and assessment by MODIS and meteorology station data[J].,2018,(01):163-174.[doi:10.13577/j.jnd.2018.0120]
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基于卫星遥感与气象站点数据的水稻高温热害监测和评估模型的改进
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《自然灾害学报》[ISSN:/CN:23-1324/X]

卷:
期数:
2018年01期
页码:
163-174
栏目:
出版日期:
2018-02-28

文章信息/Info

Title:
Improvement of model on rice heat injury monitor and assessment by MODIS and meteorology station data
作者:
郭建茂1 王锦杰2 吴越1 谢晓燕1 申双和1 于庚康3
1. 南京信息工程大学, 江苏 南京 210044;
2. 宿迁市气象局, 江苏 宿迁 223800;
3. 江苏省气象局, 江苏 南京 210009
Author(s):
GUO Jianmao1 WANG Jinjie2 WU Yue1 XIE Xiaoyan1 SHEN Shuanghe1 YU Gengkang3
1. Nanjing University of Information Science & Technology, Nanjing 210044, China;
2. Suqian Meteorological Bureau, Suqian 223800, China;
3. Jiangsu Meteorological Service, Nanjing 210009, China
关键词:
MODIS水稻高温热害监测与评估改进
Keywords:
MODISriceheat damagemonitor and assessmentimprove
分类号:
X43;S16
DOI:
10.13577/j.jnd.2018.0120
摘要:
水稻是我国的三大粮食作物之一,对我国的粮食安全至关重要。随着近年来气候变暖愈演愈烈,水稻高温热害的发生也更加频繁,水稻高温热害已成为重大农业气象灾害。加强高温热害监测和预警技术研究已迫在眉睫。为此基于卫星遥感与气象站点数据建立了水稻高温热害监测和评估模型,模型可在全研究区域范围内,选择水稻生长季内的任意时段,对这时段内正处于抽穗开花期水稻的高温受害情况进行监测和评估。随着研究的深入,对上述模型进行如下的完善:(1)加入新的数据源提高气温反演的精度;(2)在监测和评估结果图像中增加水稻高温热害不同等级发生次数统计结果。
Abstract:
Rice is one of the three major grain crops in China, it is very important to the food security of our country. In recent years, with the warming climate, the occurrence of high temperature heat damage has happened more frequently. High temperature heat damage of rice has become a major agricultural meteorological disaster in rice production. It is urgent to strengthen the research on the monitoring and early warning of high temperature heat damage. Thus, based on the data of satellite remote sensing and meteorological station, the monitoring and evaluation model of high temperature heat damage was established. This model can cover the whole research area in any picked rice growth period and monitoring and accessing the rice, which is in heading and flowering stage. With the deepening of research, the above model is improved as follows:First, adding new data sources to improve the accuracy of temperature retrieval; Second, adding the counts of different grades high temperature heat damage in the image of monitoring and evaluating results.

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备注/Memo

备注/Memo:
收稿日期:2017-04-23;改回日期:2017-05-14。
基金项目:公益性行业(气象)科研专项(GYHY201506018);江苏省重点研发计划(现代农业)项目(BE2015365);中国气象局预报预测核心业务发展专项(CMAHX20160311)
作者简介:郭建茂(1968-),男,副教授,博士,主要从事农业遥感和作物生长模拟研究.E-mail:guojianmao2004@163.com
更新日期/Last Update: 1900-01-01