Drought monitoring using MODIS derived indices and google earth engine platform

Samet Aksoy, Ozge Gorucu, Elif Sertel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

Drought is one of the frequently observed natural hazard resulting from precipitation deficit and increased evapotranspiration caused by high temperatures. Remote sensing indices are used to analyze spatio-temporal distribution of drought conditions and identify drought severity. In this study, we analyzed the spatio-temporal distribution of drought conditions in Turkey from February 2000 to January 2019 by using different drought indices produced from MODIS satellite data in Google Earth Engine (GEE) platform. Vegetation Health Index (VHI), Normalized Multiband Drought Index(NMDI) and Normalized Difference Drought Index (NDDI) maps in country level for different years and months of the related years were utilized to assess the drought conditions. Time series were also created for some specific locations to deeply analyze the drought conditions in 20-year period. Our results show that MODIS derived drought indices provide useful geospatial information to assess drought conditions in country level. Moreover, GEE platform is very handy and rapid tool to reach related satellite images and conduct remote sensing analysis of huge and long term date efficiently. Geospatial big data could be successfully accessed and processed in this platform not only for drought monitoring but also for other environmental monitoring applications.

Original languageEnglish
Title of host publication2019 8th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728121161
DOIs
Publication statusPublished - Jul 2019
Event8th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2019 - Istanbul, Turkey
Duration: 16 Jul 201919 Jul 2019

Publication series

Name2019 8th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2019

Conference

Conference8th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2019
Country/TerritoryTurkey
CityIstanbul
Period16/07/1919/07/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Keywords

  • Drought Indices
  • Drought monitoring
  • Google Earth Engine
  • MODIS
  • Remote Sensing
  • Turkey

Fingerprint

Dive into the research topics of 'Drought monitoring using MODIS derived indices and google earth engine platform'. Together they form a unique fingerprint.

Cite this