Assessing the responses of different vegetation types to drought with satellite solar-induced chlorophyll fluorescence over the Yunnan-Guizhou Plateau

  • Yi Luo
  • , Jian Yang*
  • , Songxi Yang
  • , Ao Wang
  • , Shi Shuo
  • , Lin Du
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The Yunnan-Guizhou Plateau (YGP) is an important ecological region in southwestern China with frequent and severe droughts affecting its vegetation and ecosystem. Many studies have used vegetation indices to monitor drought effects on vegetation across the entire ecosystem. However, the drought response of different vegetation types in the YGP is unclear. This study used solar-induced chlorophyll fluorescence (SIF) and normalized difference vegetation Index (NDVI) data to monitor different vegetation types. The results showed that cropland was most sensitive and woody savanna was most resistant to drought. SIF had a stronger correlation with drought than NDVI, indicating its potential for vegetation monitoring.

Original languageEnglish
Pages (from-to)35565-35582
Number of pages18
JournalOptics Express
Volume31
Issue number22
DOIs
StatePublished - 23 Oct 2023
Externally publishedYes

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