[1]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.
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Suitability Analysis of Vegetation Indices for Monitoring Wind Sand Disaster in Oasis Agricultural District
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
21
Number of periods:
2014 02
Page number:
302-305,310
Column:
Public date:
2014-04-28
- Title:
- Suitability Analysis of Vegetation Indices for Monitoring Wind Sand Disaster in Oasis Agricultural District
- CLC:
- P425.5+5;P425.6+1
- DOI:
- -
- 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.
- References:
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