Drought determination by using land surface temperature and normalized difference vegetation index

E. Ozelkan*, I. Papila, D. Z. Uca Avci, M. Karaman

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

5 Citations (Scopus)

Abstract

Today, many places of different locations on Earth especially semi-arid areas face the risk of desertification due to severe drought. However, the very basic data required for the analysis is unavailable for the regions without a meteorological station. In this case, land surface temperature (LST) is derived from a thermal band as an alternative meteorological station's data. In this research, Mugla, located in the eastern Mediterranean part of Turkey, was selected as the study area. By using Landsat TM data, LST&NDVI images were produced. A negative correlation, which indicated a trend for drought, was observed between LST&NDVI during a twenty six-year period. Standard precipitation index (SPI), which is a measure of drought and assessed from meteorological data, was used to verify remote sensing results. Consequently, it can be said that the negative correlation between LST&NDVI can be used as an indicator for drought as an alternative to meteorological data.

Original languageEnglish
Publication statusPublished - 2011
Event34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring - Sydney, NSW, Australia
Duration: 10 Apr 201115 Apr 2011

Conference

Conference34th International Symposium on Remote Sensing of Environment - The GEOSS Era: Towards Operational Environmental Monitoring
Country/TerritoryAustralia
CitySydney, NSW
Period10/04/1115/04/11

Keywords

  • Drought
  • LST
  • Meteorological station data
  • NDVI
  • Remote sensing
  • SPI

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