Drought monitoring using modis data in Central America

Chi Farn Chen, Nguyen Thanh Son, Cheng Ru Chen

Research output: Contribution to conferencePaperpeer-review

Abstract

This study aimed to delineate drought-prone areas in Central America using MODIS data. The data were processed for 2014 using the simple vegetation health index (VHI) calculated based on the temperature condition index (TCI) and vegetation condition index (VCI). The results were verified with the Advanced Microwave Scanning Radiometer 2 (AMSR2) precipitation data, indicating close relationship between these two datasets with the correlation coefficient (r) value of 0.78. The larger area of severe drought was generally observed during January to April, however, declined during May-November, except for July-August due to the occurrence of a short dry spell. The results obtained from this study could be useful to devise strategies in order to mitigate negative effects of droughts on crop production.

Original languageEnglish
StatePublished - 2017
Event38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017 - New Delhi, India
Duration: 23 Oct 201727 Oct 2017

Conference

Conference38th Asian Conference on Remote Sensing - Space Applications: Touching Human Lives, ACRS 2017
Country/TerritoryIndia
CityNew Delhi
Period23/10/1727/10/17

Keywords

  • Central America
  • Drought
  • MODIS
  • VHI

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