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CLC number: S127

On-line Access: 2015-02-02

Received: 2014-05-30

Revision Accepted: 2014-09-27

Crosschecked: 2015-01-20

Cited: 5

Clicked: 5492

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Jing-feng Huang

http://orcid.org/0000-0003-4627-6021

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Journal of Zhejiang University SCIENCE B 2015 Vol.16 No.2 P.131-144

http://doi.org/10.1631/jzus.B1400150


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


Author(s):  Bao She, Jing-feng Huang, Rui-fang Guo, Hong-bin Wang, Jing Wang

Affiliation(s):  Institute of Agricultural Remote Sensing and Information Technology Application, College of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China; more

Corresponding email(s):   hjf@zju.edu.cn

Key Words:  Brassica napus, Freeze injury, Remote sensing, Crop monitoring, HJ-CCD


Bao She, Jing-feng Huang, Rui-fang Guo, Hong-bin Wang, Jing Wang. Assessing winter oilseed rape freeze injury based on Chinese HJ remote sensing data[J]. Journal of Zhejiang University Science B, 2015, 16(2): 131-144.

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author="Bao She, Jing-feng Huang, Rui-fang Guo, Hong-bin Wang, Jing Wang",
journal="Journal of Zhejiang University Science B",
volume="16",
number="2",
pages="131-144",
year="2015",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.B1400150"
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%T Assessing winter oilseed rape freeze injury based on Chinese HJ remote sensing data
%A Bao She
%A Jing-feng Huang
%A Rui-fang Guo
%A Hong-bin Wang
%A Jing Wang
%J Journal of Zhejiang University SCIENCE B
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%I Zhejiang University Press & Springer
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A1 - Jing Wang
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DOI - 10.1631/jzus.B1400150


Abstract: 
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.

基于国产环境减灾卫星遥感数据的油菜冻害评估

目的:以2011年1月发生在合肥地区的油菜冻害为案例,利用国产环境减灾卫星数据监测其灾情分布,探究自然环境条件及植被长势与灾情之间的关系。
创新点:基于遥感手段监测越冬期油菜冻害的研究鲜见报道。鉴于受灾年份的花期影像难以准确呈现油菜的实际空间分布,本文提出了一套适用于灾害年越冬时期的油菜种植区域遥感提取方法,探索了地形条件、越冬前长势、土壤湿度和最冷日期地表温度对于灾情程度的影响。
方法:以正常年份的油菜种植区域为基准,利用越冬作物在越冬前生长的特性来提取受灾年份越冬时期的油菜种植区域;利用灾后相对于灾前的归一化植被指数(NDVI)百分比变化量作为冻害监测指标来监测灾情分布;采用随机样本点抽取的灾情与各影响因素数据集,运用相关分析方法来探讨二者之间的联系,采用统计分析方法探讨灾情与坡向之间的关系,采用灰色相关分析方法考查各影响因素对于灾情的影响程度。
结论:基于国产环境减灾卫星数据可以有效地监测油菜冻害灾情,展现不同冻害等级的空间分布;在地势低洼、土壤墒情差、植株长势旺盛条件下,油菜冻害趋于严重,南坡向和西坡向生长的油菜受冻相对更为严重;各影响因素对冻害灾情的影响程度由高到低依次为:最冷日期的地表温度、土壤湿度、灾前长势、海拔高度。

关键词:油菜;冻害;遥感;作物监测;环境减灾卫星

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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