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Drought monitoring of the maize planting areas in Northeast and North China Plain
Agricultural Water Management ( IF 6.7 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.agwat.2020.106636
Wei Wan , Zhong Liu , Kejiang Li , Guiman Wang , Hanqing Wu , Qingyun Wang

Abstract Remote sensing technology can cost-effectively access to a wide range of real-time land surface spatial information, therefore it is widely used in agricultural crops monitoring. And timely assessment of drought stress using remote sensing is valuable for improving the crop management level. In this study, the drought stress was evaluated in the maize planting areas of the Northeast and North China Plain using satellite remote sensing technology. The absolute distance index was used to identify the spatial pattern of the maize planting areas using the moderate resolution imaging spectroradiometer (MODIS) derived enhanced vegetation index data that processed with Savitzky–Golay filter. The temperature vegetation drought index (TVDI) was derived from MODIS normalized difference vegetation index and land surface temperature data. Simultaneously, soil moisture content (SMC) was obtained for an eight-day period and matched with satellite remote sensing data to characterize the drought stress of maize. After estimating the field capacity and wilting point, the SMC was further transformed into the real available water content (RAWC) of the soil. Our results indicated that negative correlations between RAWC and TVDI was observed for the 0–10 cm (R2 = 0.594) and 20–30 cm (R2 = 0.641) soil layers, respectively, which was significantly better than the correlation between the SMC and TVDI in the 0–10 (R2 = 0.396) and 20–30 cm (R2 = 0.499) soil layers. Moreover, the sensitive period regarding the maize water demand were identified (day of year 161, 169, 233, 241, and 249) via the linear regression analysis of the measured maize yield and TVDI for eight-day intervals. Furthermore, the weights of the water demand of maize in different growth stages was determined via multiple linear regression analysis, and a comprehensive drought index (TVDISW) was established to evaluate the drought stress in the whole maize growth period. Eventually, a comprehensive analysis for the drought stress in the study area was conducted combined with various environmental factors. Furthermore, the performance of this method was independent of the meteorological and field survey data, which may facilitate the mapping of drought monitoring of crops planting areas at a large scale.

中文翻译:

东北和华北平原玉米种植区干旱监测

摘要 遥感技术可以经济高效地获取广泛的实时地表空间信息,因此被广泛应用于农作物监测。利用遥感技术及时评估干旱胁迫对提高作物管理水平具有重要意义。本研究利用卫星遥感技术对东北和华北平原玉米种植区的干旱胁迫进行了评估。绝对距离指数用于使用中分辨率成像光谱仪 (MODIS) 衍生的经 Savitzky-Golay 滤波器处理的增强植被指数数据来识别玉米种植区的空间格局。温度植被干旱指数(TVDI)来源于MODIS归一化差异植被指数和地表温度数据。同时,获得了为期 8 天的土壤水分含量 (SMC),并与卫星遥感数据相匹配,以表征玉米的干旱胁迫。在估算田间持水量和枯萎点后,SMC 进一步转化为土壤的真实有效水含量 (RAWC)。我们的结果表明,RAWC 和 TVDI 之间的负相关分别在 0-10 cm (R2 = 0.594) 和 20-30 cm (R2 = 0.641) 土壤层中观察到,这显着优于 SMC 和 TVDI 之间的相关性在 0–10 (R2 = 0.396) 和 20–30 cm (R2 = 0.499) 土壤层中。此外,通过对测量的玉米产量和每 8 天的 TVDI 进行线性回归分析,确定了有关玉米需水量的敏感期(161、169、233、241 和 249 年的第 161、169、233、241 和 249 天)。此外,通过多元线性回归分析确定玉米不同生育阶段需水量的权重,建立综合干旱指数(TVDISW)评价玉米全生育期干旱胁迫。最后结合各种环境因素对研究区干旱胁迫进行综合分析。此外,该方法的性能独立于气象和实地调查数据,这可能有助于大尺度作物种植区干旱监测的测绘。结合各种环境因素对研究区干旱胁迫情况进行了综合分析。此外,该方法的性能独立于气象和实地调查数据,这可能有助于大尺度作物种植区干旱监测的测绘。结合各种环境因素对研究区干旱胁迫情况进行了综合分析。此外,该方法的性能独立于气象和实地调查数据,这可能有助于大尺度作物种植区干旱监测的测绘。
更新日期:2021-02-01
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