Assessing the impact of extreme droughts on dryland vegetation by multi-satellite solar-induced chlorophyll fluorescence

Leng, Song, Huete, Alfredo, Cleverly, Jamie, Gao, Sicong, Yu, Qiang, Meng, Xianyong, Qi, Junyu, Zhang, Rongrong, and Wang, Qianfeng (2022) Assessing the impact of extreme droughts on dryland vegetation by multi-satellite solar-induced chlorophyll fluorescence. Remote Sensing, 14 (7). 1581.

[img]
Preview
PDF (Published Version) - Published Version
Available under License Creative Commons Attribution.

Download (5MB) | Preview
View at Publisher Website: https://doi.org/10.3390/rs14071581
 
92


Abstract

Satellite-estimated solar-induced chlorophyll fluorescence (SIF) is proven to be an effective indicator for dynamic drought monitoring, while the capability of SIF to assess the variability of dryland vegetation under water and heat stress remains challenging. This study presents an analysis of the responses of dryland vegetation to the worst extreme drought over the past two decades in Australia, using multi-source spaceborne SIF derived from the Global Ozone Monitoring Experiment-2 (GOME-2) and TROPOspheric Monitoring Instrument (TROPOMI). Vegetation functioning was substantially constrained by this extreme event, especially in the interior of Australia, in which there was hardly seasonal growth detected by neither satellite-based observations nor tower-based flux measurements. At a 16-day interval, both SIF and enhanced vegetation index (EVI) can timely capture the reduction at the onset of drought over dryland ecosystems. The results demonstrate that satellite-observed SIF has the potential for characterizing and monitoring the spatiotemporal dynamics of drought over water-limited ecosystems, despite coarse spatial resolution coupled with high-retrieval noise as compared with EVI. Furthermore, our study highlights that SIF retrieved from TROPOMI featuring substantially enhanced spatiotemporal resolution has the promising capability for accurately tracking the drought-induced variation of heterogeneous dryland vegetation.

Item ID: 73265
Item Type: Article (Research - C1)
ISSN: 2072-4292
Keywords: dryland; SIF; EVI; TROPOMI; extreme drought
Copyright Information: © 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Date Deposited: 08 Jun 2022 05:45
FoR Codes: 41 ENVIRONMENTAL SCIENCES > 4102 Ecological applications > 410203 Ecosystem function @ 50%
31 BIOLOGICAL SCIENCES > 3103 Ecology > 310308 Terrestrial ecology @ 50%
SEO Codes: 19 ENVIRONMENTAL POLICY, CLIMATE CHANGE AND NATURAL HAZARDS > 1904 Natural hazards > 190401 Climatological hazards (e.g. extreme temperatures, drought and wildfires) @ 100%
Downloads: Total: 92
Last 12 Months: 48
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page