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author:

Leng, Song (Leng, Song.) [1] | Huete, Alfredo (Huete, Alfredo.) [2] | Cleverly, Jamie (Cleverly, Jamie.) [3] | Gao, Sicong (Gao, Sicong.) [4] | Yu, Qiang (Yu, Qiang.) [5] | Meng, Xianyong (Meng, Xianyong.) [6] | Qi, Junyu (Qi, Junyu.) [7] | Zhang, Rongrong (Zhang, Rongrong.) [8] | Wang, Qianfeng (Wang, Qianfeng.) [9]

Indexed by:

EI

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. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.

Keyword:

Chlorophyll Drought Ecosystems Fluorescence Satellites Vegetation

Community:

  • [ 1 ] [Leng, Song]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion, College of Environment & Safety Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Leng, Song]School of Life Sciences, University of Technology Sydney, Ultimo; NSW; 2007, Australia
  • [ 3 ] [Huete, Alfredo]School of Life Sciences, University of Technology Sydney, Ultimo; NSW; 2007, Australia
  • [ 4 ] [Cleverly, Jamie]College of Science and Engineering, James Cook University, Cairns; QLD; 4878, Australia
  • [ 5 ] [Gao, Sicong]Land and Water, Commonwealth Scientific and Industrial Research Organization, Adelaide; SA; 5064, Australia
  • [ 6 ] [Yu, Qiang]School of Life Sciences, University of Technology Sydney, Ultimo; NSW; 2007, Australia
  • [ 7 ] [Yu, Qiang]State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Northwest A&F University, Xianyang; 712100, China
  • [ 8 ] [Meng, Xianyong]School of Atmospheric Physics, Nanjing University of Information Science & Technology, Nanjing; 210044, China
  • [ 9 ] [Qi, Junyu]Earth System Science Interdisciplinary Center, University of Maryland, College Park; MD; 20740, United States
  • [ 10 ] [Zhang, Rongrong]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion, College of Environment & Safety Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 11 ] [Wang, Qianfeng]Fujian Provincial Key Laboratory of Remote Sensing of Soil Erosion, College of Environment & Safety Engineering, Fuzhou University, Fuzhou; 350116, China
  • [ 12 ] [Wang, Qianfeng]Key Lab of Spatial Data Mining & Information Sharing, Ministry of Education of China, Fuzhou; 350116, China

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Source :

Remote Sensing

Year: 2022

Issue: 7

Volume: 14

5 . 0

JCR@2022

4 . 2 0 0

JCR@2023

ESI HC Threshold:51

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 24

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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