CHENG Hong-xia,LIN Yue-jiang,HU Lie-qun.Suitability Analysis of Vegetation Indices for Monitoring Wind Sand Disaster in Oasis Agricultural District[J].Research of Soil and Water Conservation,2014,21(02):302-305,310.
植被指数监测绿洲农区风沙灾害的适宜性分析
- Title:
- Suitability Analysis of Vegetation Indices for Monitoring Wind Sand Disaster in Oasis Agricultural District
- 分类号:
- P425.5+5;P425.6+1
- 摘要:
- 绿洲农区风沙灾害的监测需要选择适宜的植被指数。以莎车县为研究区，根据2013年4月风沙灾害发生的时间和农作物的生长特征，利用多时相MODIS遥感数据产品和统计方法，分析了NDVI、DVI、EVI、ARVI、SAVI和MSAVI对风沙灾害的敏感性。分析结果表明，风沙灾害后的农区ARVI偏移和标准差均最大，分别为0.038 2和0.020 0；基于像元的相关关系分析显示，风沙灾害前后的ARVI相关系数最低，具有较高的信息量，对农区遭受风沙灾害的像元辨别能力强；ΔARVI的四分位距和标准差显著大于其他5个植被指数，分别为0.082 0和0.077 8，受风沙灾害的影响显著；结合近红外、红光和蓝光波段变化分析，说明ARVI更能反映农区风沙灾害的影响。因此，ARVI对绿洲农区风沙灾害的敏感性强，是风沙灾害监测较适宜的植被指数。
- Abstract:
- In order to monitor and assess wind sand disaster of oasis agricultural district, it is needed to select the suitable vegetation index. Taking Shache County as study area, and based on the wind sand disaster time and the crop growth characteristics, the sensitivity analysis of normalized difference vegetation index(NDVI), difference vegetation index (DVI), enhanced vegetation index (EVI), atmospherically resistant vegetation index (ARVI), soil adjusted vegetation Index (SAVI) and modified soil-adjusted vegetation index (MSAVI) to wind sand disaster was made by means of multi temporal MODIS products and statistical method. The results indicated that the vegetation index of agricultural district showed the downtrend after wind sand disaster. By the comparison of the six kinds of vegetation index distribution maps, it is demonstrated that the deviation and variance of ARVI were the largest, 0.038 2 and 0.020 0, respectively. The correlation coefficient of ARVI before and after wind sand disaster was lowest based on the correlation analysis at pixel level, so ARVI had large amounts of information and strong ability to recognize the pixels suffering from wind sand disaster disasters in oasis agricultural district. Compared with other vegetation index differences before and after wind sand disaster, the vegetation index difference of ARVI had the largest interquartile range and standard deviation, 0.082 0 and 0.077 8, respectively, and wind sand disaster had a greater effect on ARVI. Combined with changes in the near-infrared band, red band, blue band and above analysis, ARVI can better reflect the impact of wind sand disaster on crops. Therefore, ARVI has highly sensitivity to wind sand disaster in oasis agricultural district and should be relatively suitable vegetation index for wind sand disaster monitoring.
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相似文献/References:
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AN Zhi-shan,ZHANG Ke-cun,QU Jian-jun,et al.Sand Hazard Characteristics and Genetic Analysis along the Qinghai-Tibet Railway[J].Research of Soil and Water Conservation,2014,21(02):285.
备注/Memo
收稿日期:2013-05-29;改回日期:2013-07-28。
基金项目:公益性行业（气象）科研专项（GYHY201106025）
作者简介:程红霞(1977-),女,河南邓州人,博士,主要从事遥感和地理信息系统应用方面的研究。E-mail:chx69@163.com