Welcome to Chinese Agricultural Science Bulletin,

Chinese Agricultural Science Bulletin ›› 2015, Vol. 31 ›› Issue (14): 148-155.doi: 10.11924/j.issn.1000-6850.casb15010163

Special Issue: 植物保护

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Using MODIS Data to Monitor Pest Vegetation Index Change in a Large Scale——Take the Locust Plague in Australia in 2010 for Example

Miao Jing1, Zhao Ziqi2, Liu Huanli3, Li Linlin4, Xu Yaqi5, Liu Qing6, Xin Mingyue1, Zhang Lu1, Li Guochun7   

  1. (1Panjin Meteorological Bureau of Liaoning Province, Panjin Liaoning 124010;2Shenyang Institute of Atmospheric Environment of China Meteorological Administration, Shenyang 110166;3Meteorological Information Center of Hebei Province, Hebei 050021; 4Meteorological Institute of Liaoning Province, Shenyang 110161;5Meteorological Bureau of Gaizhou, Gaizhou 115200;6Shenyang Meteorological Administration, Shenyang 110168;7Agricultural College of Shenyang Agricultural University, Shenyang 110161)
  • Received:2015-01-21 Revised:2015-04-15 Accepted:2015-03-20 Online:2015-06-02 Published:2015-06-02

Abstract: In order to analyze the range and damage of locusts plague that occurred in New South Wales, Australia, 2010, the author used MODIS/Terra date from 2008 to 2010 to judge the vegetation growth in 2010 through △NDVI value image, which were the different NDVI images of before and after vegetation growing period. The results showed that: from an overall perspective, the detected damage and actual range were basically the same, which could reflect the disaster situation in New South Wales; the undamaged area was almost 410,000 km2; the light damaged area was about 50,000 km2; the seriously damaged area was about 340,000 km2; the total damaged area was about 390,000 km2, which accounted for 49% of the total area. Compared to the official statistics, the relative error of damaged area was about 22%, the reasons were the lack of pixels and some wrong pixels, and the missing pixels could not be included in the calculation of the damaged area and reduced the precision of damage situation classification. This method could be used to study the range and damage of locusts plague.