Remote sensing delineation of wildfire spatial extents and post-fire recovery along a semi-arid climate gradient

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)
4 Downloads (Pure)

Abstract

Understanding the wildfire extent and post-fire vegetation recovery is critical for fire and forest management. Remote sensing imagery is widely used in wildfire detection because it provides continuous and large-scale surface monitoring capability. In this study, we apply and evaluate the performance of the LandTrendr algorithm in wildfire detection across a semi-arid climate region with a marked precipitation gradient. The aims are to compare the performance of four spectral indices for the burned areas and post-fire recovery detection for different climate conditions and investigate the relationship between suitable model parameters and climate conditions. The results show that NDVI outperforms other indices, including NBR, in burned area detection for drier areas (annual precipitation <400 mm). Disturbance signal-to-noise ratio can serve as an indicator for suitable index selection for semi-arid areas. Although the performance in the detection of burned pixels varies among different indices, they are all suitable for delineating post-fire recovery except for the wet site (annual precipitation of 575 mm) where NBR displays the best performance. Parameter optimization results along the climate gradient show that climate conditions have a significant impact on suitable parameter selection. These findings provide guidance on vegetation wildfire detection in arid and semi-arid climates to support wildfire risk and forestry management.

Original languageEnglish
Article number102304
Number of pages18
JournalEcological Informatics
Volume78
Early online date11 Sept 2023
DOIs
Publication statusPublished - Dec 2023

Keywords

  • Change detection
  • LandTrendr
  • Post-fire vegetation recovery
  • Wildfire

Fingerprint

Dive into the research topics of 'Remote sensing delineation of wildfire spatial extents and post-fire recovery along a semi-arid climate gradient'. Together they form a unique fingerprint.

Cite this