Using Landsat time series and bi-temporal GEDI to compare spectral and structural vegetation responses after fire-Reference-Cited by-同舟云学术

Using Landsat time series and bi-temporal GEDI to compare spectral and structural vegetation responses after fire

Published:2023-08 Issue: Volume:122 Page:103403
ISSN:1569-8432
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Huettermann Sven^ORCID,Jones Simon,Soto-Berelov Mariela,Hislop Samuel

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference82 articles.

1. Australian Bureau Of Agricultural And Resource Economics And Sciences, 2018. Forests of Australia (2018).

2. Australian Bureau of Meteorology, 2022. High resolution monthly rainfall total gridded datasets from 1900 onwards. http://www.bom.gov.au/climate/maps/rainfall. Accessed 19 July 2022.

3. Beck, J., Wirt, B., Armston, J., Hofton, M., Luthcke, S., Tang, H., 2021. Global Ecosystem dynamics investigation (GEDI) level 02 user guide. https://lpdaac.usgs.gov/documents/986/GEDI02_UserGuide_V2.pdf. Accessed 22 August 2021.

4. Modeling laser altimeter return waveforms over complex vegetation using high-resolution elevation data;Blair;Geophys. Res. Lett.,1999

5. Unprecedented burn area of Australian mega forest fires;Boer;Nat. Clim. Chang.,2020

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