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Mapping “Cold Dew Wind” damaged area of late paddy rice in Jiangxi Province using Moderate Resolution Imaging Spectroradiometer data

机译:利用中分辨率成像光谱仪数据绘制江西省晚稻“寒露风”受害面积图

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In south of China, double-season is popular pattern for paddy rice in order to utilizing the climate resources. But the late rice is damaged frequently by “Cold Dew Wind” (CDW) chilling damage, which is caused by the low temperature in late rice’s heading and flowering stage. At this time, once the temperature is below the low limits of the optimal temperature of paddy rice, it will cause empty shells and crusts, leading to yield reduction. This paper proposed a novel integrated framework to map the damage extent of CDW in Jiangxi Province, China to late rice from 2005 to 2018. Firstly, the daily mean air temperatures were estimated using the Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature (LST) products, the altitude information from Digital Elevation Model (DEM), MODIS Land Cover products and air temperature measurements at meteorological stations located in the Jiangxi Province from 2005 to 2018. Then all-weather and fully covered daily average temperature time series were constructed by employing multi-platform merging and temporal fusion. Meanwhile, late rice planting areas were identified based on the seasonal profiles of MODIS Enhanced Vegetation Index (EVI) and Land Surface Water Index (LSWI), and map errors from 2005 to 2016 at provincial scales were no more than 7.50%. Paddy rice growth characteristics were combined with EVI and LSWI to identify heading and flowering stages. Finally, the time series of daily mean air temperatures, paddy rice phenology information and planting area were used to estimate the rice crop area damaged by the CDW for late rice. The results show that from 2005 to 2018, the two years most affected by CDW were 2006 and 2011. The damaged areas in the study area were 89,691.99 hectares and 36,614.23 hectares, respectively, accounting for 6.38% and 2.34% of the total planted area of late rice. According to the duration of CDW, the disaster degree is divided into three levels: mild, moderate and severe. The range of disasters was the widest in 2006, but the area of mild disaster accounted for 93.12% of the total disaster area. The area affected in 2011 was second only to 2006, but the severely affected area accounted for 70.26% of the total affected area. These results indicate this paper realized the estimation of the late rice area affected by CDW, the assessment of the disaster level, and the spatial distribution map production of the damaged area and disaster level in the study area.
机译:在我国南方,为了充分利用气候资源,双季水稻是一种流行的种植模式。但由于晚稻抽穗期和开花期的低温,晚稻经常遭受“冷露风”冷害。此时,一旦温度低于水稻最适温度的下限,就会造成空壳和结壳,导致减产。本文提出了一个新的综合框架,用于绘制2005年至2018年江西省CDW对晚稻的危害程度。首先,利用中分辨率成像光谱仪(MODIS)地表温度(LST)产品、数字高程模型(DEM)的高度信息、MODIS土地覆盖产品和江西省气象站2005年至2018年的气温测量数据,估算了日平均气温。然后采用多平台融合和时间融合的方法,构建全天候、全覆盖的日平均气温时间序列。同时,根据MODIS增强植被指数(EVI)和地表水指数(LSWI)的季节剖面确定了晚稻种植区,2005年至2016年的省级地图误差不超过7.50%。将水稻生长特性与EVI和LSWI相结合,确定抽穗期和开花期。最后,利用日平均气温、水稻物候信息和种植面积的时间序列来估计晚稻CDW对水稻作物的损害。结果显示,从2005年到2018年,受CDW影响最大的两年是2006年和2011年。研究区受损面积分别为89691.99公顷和36614.23公顷,分别占晚稻总种植面积的6.38%和2.34%。根据CDW的持续时间,将灾害程度分为三个级别:轻度、中度和重度。2006年灾害范围最广,但轻度灾害面积占总灾害面积的93.12%。2011年受灾面积仅次于2006年,但严重受灾面积占总受灾面积的70.26%。这些结果表明,本文实现了对研究区晚稻受CDW影响面积的估算、灾情等级的评估以及受损面积和灾情等级的空间分布图制作。

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