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应用1982—2003年的GIMMS NDVI时间序列遥感数据集和民勤站气象资料以及1985—2000年民勤作物物候期观测和产量资料,借助于GIS技术,在识别春小麦种植区的基础上,分析了其生长季平均NDVI与产量的相关关系,并采用时滞互相关法对月际尺度的平均气温、最高气温、最低气温、降水和日照时数与春小麦NDVI的相互关系进行研究,建立了春小麦生长季平均NDVI对气候因子的响应关系模型。结果显示,民勤县春小麦生长季平均NDVI与单产产量极度相关;月际尺度上,春小麦NDVI与平均气温、最高气温、最低气温和降水相互作用同步,而滞后于日照时数1个月,且气温和降水对春小麦NDVI影响时效为1个月,日照时数为2个月;近年来,日照时数延长和降水增多有利于春小麦NDVI的增加及产量的提高。应用1982—2003年的GIMMS NDVI时间序列遥感数据集和民勤站气象资料以及1985—2000年民勤作物物候期观测和产量资料,借助于GIS技术,在识别春小麦种植区的基础上,分析了其生长季平均NDVI与产量的相关关系,并采用时滞互相关法对月际尺度的平均气温、最高气温、最低气温、降水和日照时数与春小麦NDVI的相互关系进行研究,建立了春小麦生长季平均NDVI对气候因子的响应关系模型。结果显示,民勤县春小麦生长季平均NDVI与单产产量极度相关;月际尺度上,春小麦NDVI与平均气温、最高气温、最低气温和降水相互作用同步,而滞后于日照时数1个月,且气温和降水对春小麦NDVI影响时效为1个月,日照时数为2个月;近年来,日照时数延长和降水增多有利于春小麦NDVI的增加及产量的提高。
Based on the GIMMS NDVI time series remote sensing data set from 1982 to 2003 and the meteorological data of Minqin Station and phenological observation and yield data of Minqin crop from 1985 to 2000, based on the GIS technology, based on the identification of spring wheat planting areas, The correlation between the average NDVI and the yield during the growing season was also studied. The correlation between annual mean temperature, maximum temperature, minimum temperature, precipitation and sunshine duration on spring wheat NDVI was studied using time-dependent cross-correlation method. Response NDVI Model to Climate Factors. The results showed that the average NDVI of spring wheat growing season in Minqin County was highly correlated with the yield per unit area. On the monthly scale, the NDVI of spring wheat was synchronized with the average temperature, the highest temperature, the lowest temperature and precipitation, lagging behind the sunshine hours for 1 month The effect of temperature and precipitation on the NDVI of spring wheat is 1 month and the sunshine duration is 2 months. In recent years, the increase of sunshine duration and the increase of precipitation are favorable to the increase of NDVI and the increase of yield of spring wheat. Based on the GIMMS NDVI time series remote sensing data set from 1982 to 2003 and the meteorological data of Minqin Station and phenological observation and yield data of Minqin crop from 1985 to 2000, based on the GIS technology, based on the identification of spring wheat planting areas, The correlation between the average NDVI and the yield during the growing season was also studied. The correlation between annual mean temperature, maximum temperature, minimum temperature, precipitation and sunshine duration on spring wheat NDVI was studied using time-dependent cross-correlation method. Response NDVI Model to Climate Factors. The results showed that the average NDVI of spring wheat growing season in Minqin County was highly correlated with the yield per unit area. On the monthly scale, the NDVI of spring wheat was synchronized with the average temperature, the highest temperature, the lowest temperature and precipitation, lagging behind the sunshine hours for 1 month The effect of temperature and precipitation on the NDVI of spring wheat is 1 month and the sunshine duration is 2 months. In recent years, the increase of sunshine duration and the increase of precipitation are favorable to the increase of NDVI and the increase of yield of spring wheat.