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随着全球气候变暖,水稻高温热害的发生愈加频繁。为此,本文在前人研究成果的基础上,开展了水稻高温热害监测和评估模型研究。首先利用卫星遥感数据反演逐日最高气温和平均气温,云覆盖区域则以相应站点气温数据插值后补充,生成“卫星—插值”气温时间序列数据。同时提取水稻种植区域并判别其是否在高温热害的关键期——抽穗开花期。然后基于以上数据,依据水稻高温热害指标展开水稻高温热害监测和评估,对热害进行等级划分与统计。模型可实现任意时间点之前水稻高温热害的快速监测与评估,也可以给出全研究区域水稻全生育期总体的高温热害监测与评估结果。以江苏、安徽两省为例进行2013年夏季水稻高温热害监测和评估模型的应用,该模型达到了较好的使用效果,将有很好的应用前景。
With the global warming, high temperature heat damage to rice occurs more frequently. Therefore, based on the previous research results, this paper carried out a research on the monitoring and evaluation model of rice high temperature and heat damage. First, the daily maximum temperature and average temperature are retrieved by using satellite remote sensing data. The cloud cover area is interpolated with the corresponding site temperature data to generate the time series data of satellite-interpolation temperature. At the same time, the rice planting area was extracted and the key period of high temperature heat damage was identified - heading and flowering. Then based on the above data, according to rice high temperature thermal damage indicators to carry out monitoring and evaluation of rice high temperature thermal damage, heat hazard classification and statistics. The model can realize the rapid monitoring and assessment of pyretic heat damage of rice at any time before, and also provide the monitoring and assessment results of high temperature and thermal damage during the whole growth period of rice in the whole research area. Taking the provinces of Jiangsu and Anhui as an example, the application of the monitoring and assessment model of rice thermal damage in summer of 2013 was achieved. The model has achieved good results and will have good application prospects.