Integrating satellite for drought impact assessment in a developed coastal region

  • Zhiqiang Gao*
  • , Wei Gao
  • *Corresponding author for this work

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

Abstract

This paper presents a new drought assessment method by spatially and temporally integrating the regional water stress index (RWSI) with the temperature vegetation dryness index (TVDI). With the aid of LANDSAT TM/ETM data, we were able to retrieve the land-use and land-cover (LULC), vegetation indices (VIs), and land surface temperature (LST), and derive three types of TVDI, including TVDI SAVI, TVDI ANDVI and TVDI MSAVI, for the drought impact assessment in a well-developed coastal region, northern China. The classification of four drought impact categories associated with the RWSI values enables us to refine the spatiotemporal relationship between the LST and the VIs in a greater detail. Holistic drought impact assessment between 1987 and 2000 in our study area was carried out by linking RWSI with TVDIs group wise.

Original languageEnglish
Title of host publicationRemote Sensing and Modeling of Ecosystems for Sustainability VIII
DOIs
StatePublished - 2011
Externally publishedYes
EventRemote Sensing and Modeling of Ecosystems for Sustainability VIII - San Diego, CA, United States
Duration: 22 Aug 201123 Aug 2011

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8156
ISSN (Print)0277-786X

Conference

ConferenceRemote Sensing and Modeling of Ecosystems for Sustainability VIII
Country/TerritoryUnited States
CitySan Diego, CA
Period22/08/1123/08/11

Keywords

  • Coastal management
  • Drought assessment
  • Remote sensing

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