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Assessing winter oilseed rape freeze injury based on Chinese HJ remote sensing data

机译:基于中国HJ遥感数据的冬季油菜油菜冻害评估

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摘要

The winter oilseed rape (Brassica napus L.) accounts for about 90% of the total acreage of oilseed rape in China. However, it suffers the risk of freeze injury during the winter. In this study, we used Chinese HJ-1A/1B CCD sensors, which have a revisit frequency of 2 d as well as 30 m spatial resolution, to monitor the freeze injury of oilseed rape. Mahalanobis distance-derived growing regions in a normal year were taken as the benchmark, and a mask method was applied to obtain the growing regions in the 2010–2011 growing season. The normalized difference vegetation index (NDVI) was chosen as the indicator of the degree of damage. The amount of crop damage was determined from the difference in the NDVI before and after the freeze. There was spatial variability in the amount of crop damage, so we examined three factors that may affect the degree of freeze injury: terrain, soil moisture, and crop growth before the freeze. The results showed that all these factors were significantly correlated with freeze injury degree (P<0.01, two-tailed). The damage was generally more serious in low-lying and drought-prone areas; in addition, oilseed rape planted on south- and west-oriented facing slopes and those with luxuriant growth status tended to be more susceptible to freeze injury. Furthermore, land surface temperature (LST) of the coldest day, soil moisture, pre-freeze growth and altitude were in descending order of importance in determining the degree of damage. The findings proposed in this paper would be helpful in understanding the occurrence and severity distribution of oilseed rape freeze injury under certain natural or vegetation conditions, and thus help in mitigation of this kind of meteorological disaster in southern China.
机译:冬季油菜(Brassica napus L.)约占中国油菜总面积的90%。然而,它在冬天遭受冻伤的风险。在这项研究中,我们使用了中国HJ-1A / 1B CCD传感器,其重访频率为2 d,空间分辨率为30 m,以监测油菜的冻害。以正常年份中源自马哈拉诺比斯(Mahalanobis)距离的生长区域为基准,并应用遮罩方法获取2010-2011年生长季节的生长区域。选择归一化植被指数(NDVI)作为破坏程度的指标。根据冻融前后NDVI的差异确定作物受损的程度。作物受损程度存在空间差异,因此我们研究了可能影响冻害程度的三个因素:地形,土壤湿度和冻害前的作物生长。结果表明,所有这些因素均与冻伤程度显着相关(P <0.01,两尾)。在低洼和干旱多发的地区,破坏通常更为严重;此外,在南向和西向的山坡上种植的油菜油菜,以及生长茂盛的油菜,更容易受到冻害。此外,在确定损害程度时,最冷的一天的地表温度(LST),土壤湿度,预冻生长和海拔高度的重要性降序。本文提出的发现将有助于了解某些自然或植被条件下油菜油菜冻害的发生和严重程度分布,从而有助于减轻中国南方的这种气象灾害。

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