首页    期刊浏览 2026年01月02日 星期五
登录注册

文章基本信息

  • 标题:Drought Detection by Application of Remote Sensing Technology and Vegetation Phenology
  • 本地全文:下载
  • 作者:Yannawut Uttaruk ; Teerawong Laosuwan
  • 期刊名称:Inżynieria Ekologiczna
  • 印刷版ISSN:2081-139X
  • 电子版ISSN:2392-0629
  • 出版年度:2017
  • 卷号:18
  • 期号:6
  • 页码:115-121
  • DOI:10.12911/22998993/76326
  • 出版社:Polish Society of Ecological Engineering (PTIE)
  • 摘要:Drought is a natural phenomenon as it often occurs in the area of Yasothon province, northeastern of Thailand.It causes effects on vegetation condition in the area.Drought information might be useful for local government to prepare for prevention and mitigation plan in the future.For this reason, the primary objective of the research was to conduct the examination of this province to find severe drought years.Firstly, the researcher needed to find Normalized Differences Vegetation Index (NDVI) and Vegetation Condition Index (VCI) by analyzing monthly Landsat data acquired at different periods of time from January to December 2014, 2015, and 2016, covering 4,096 km2.Then, the researcher needed to find relationship between VCI and monthly rainfall represented in term of space and time.As results, VCI and its relationship with monthly rainfall were congruent.VCI showed that the drought area was 33.87% or 1,387.32 km2 of studied area in 2014, 16.24% or 665.19 km2 of studied area in 2015 and 27.95% or 1,144.83 km2 of studied area in 2016.Therefore, the most and the least severe drought years were 2014, 2016, and 2015 respectively.
  • 关键词:remote sensing ; drought detection ; vegetation phenology
国家哲学社会科学文献中心版权所有