Remote Sensing Monitoring of a Dry hot Wind Disaster in Wheat Growing Area of Henan Province

doi:10.3969/j.issn.1000-6362.2014.05.018

Abstract

Abstract: The domestic meteorological data FY3/MERSI was used to construct 4 types vegetation indices that including NDVI, RVI, ARVI and EVI to monitor a wide range of dry hot wind process in winter wheat growing area in Henan province 12-13 May, 2013.By comparing the frequency distribution and the variation spatial distribution of these pixel vegetation indexes before and after dry hot wind occurred, and analyzing the correlation between vegetation index variation and meteorological indices, authors studied the applicability and sensitivity of different vegetation index for monitoring and evaluation the dry hot wind disaster. The results showed that NDVI, RVI and ARVI had a consistent and significant downward trend when this dry hot wind occurred and its descent amount increased as the dry hot wind disaster grade rised. The correlation between vegetation index variation and dry hot wind disaster level also increased with the grade rised. In addition, NDVI and RVI were more sensitive than ARVI for the dry hot wind disaster, so that they are applicable to monitoring a large area of dry hot wind disaster. The research results can provide a scientific basis for promoting the application of satellite remote sensing technology to monitor and evaluate a large area of dry hot wind disaster.

Key words: MERSI, Vegetable index, NDVI, RVI, ARVI, EVI

LI Ying, WEI Yuan yuan, LIU Rong hua, FANG Wen song, CHENG Lin. Remote Sensing Monitoring of a Dry hot Wind Disaster in Wheat Growing Area of Henan Province[J]. Chinese Journal of Agrometeorology, 2014, 35(05): 593-599.

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