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MONITORING FREEZE INJURY AND EVALUATING LOSINGTO SUGAR-CANE USING RS AND GPS

  • Zongkun Tan
  • Meihua Ding
  • Longhe Wang
  • Xin Yang
  • Zhaorong Ou
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 293)

Abstract

From Jan 12th to Feb 12th 2008, the most severity cold chilling and freeze injury weather took place during the last 50 years in the southern of China.Sugar-cane was suffered injury severity. However, the losing of sugar-cane which it was aroused by thisweather disaster had not been exactitude evaluated till on Apr 1st, 2008. It was not only affected the sugar-cane ordinary harvesting and crushing, but also affected reserving sugar-cane seed for planting. Freeze injury is common disaster for sugar-cane in southern of China and monitoring freeze injury using RS and GIS are of great economic significance but little research work about it has been done in China Freeze injuring is not only related to crop growth stage and the cold air intension from northern to southern and weather types, but also consanguineous related to land form and physiognomy and geographical latitude and height above sea level etc and crop planting spatial distribution. The case study of Guangxi province which is the biggest region of sugar-cane planting in China in this paper, the values of sugar-cane NDVI among the freeze injury occur former and after in early 2008 and without freeze injury occur in the same term 2007 were analyzed and compared based on the sugar-cane planting spatial distribution information which were carried out by using multi-phase EOS/MODIS data. The result showed that it was not only commendably reflected the spatial distribution of freeze injury but also reflected the sugarcane suffered from degree using the values of sugar-cane NDVIof freeze injury occur former and after. The field sample investigation data of using GPS was integrated with the NDVI, the evaluation of region sugar-cane suffer from freeze injury losing could quickly and exactly realize.

Keywords

Normalize Difference Vegetation Index Weather Type Guangxi Province Atmospheric Profile Weather Disaster 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Zongkun Tan
    • 1
  • Meihua Ding
    • 1
  • Longhe Wang
    • 1
  • Xin Yang
    • 1
  • Zhaorong Ou
    • 1
  1. 1.Remote Sensing Application and Test Base of National Satellite Meteorology CentreNanningChina

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