Assessing the response of satellite sun-induced chlorophyll fluorescence and MODIS vegetation products to soil moisture from 2010 to 2017: a case in Yunnan Province of China - Ecole Nationale du Génie de l'Eau et de l'Environnement de Strasbourg Accéder directement au contenu
Article Dans Une Revue International Journal of Remote Sensing Année : 2019

Assessing the response of satellite sun-induced chlorophyll fluorescence and MODIS vegetation products to soil moisture from 2010 to 2017: a case in Yunnan Province of China

Zhuoya Ni
  • Fonction : Auteur
Hongyuan Huo
  • Fonction : Auteur
  • PersonId : 1085028
Shihao Tang
  • Fonction : Auteur
Zhigang Liu
  • Fonction : Auteur
  • PersonId : 764200
  • IdRef : 162380887
Shan Xu
Binglong Chen
  • Fonction : Auteur

Résumé

Sun-induced chlorophyll fluorescence (SIF) is widely used to monitor vegetation physiological conditions. In this paper, SIF derived from the Global Ozone Monitoring Experiment-2 (GOME-2), and gross primary productivity (GPP), normalized difference vegetation index (NDVI), land surface temperature (LST), soil moisture and precipitation are used to investigate vegetation stress in six areas of Yunnan Province in China. The results illustrate that SIF, NDVI, and GPP all decrease in the condition of water stress and increase when recovering towards a healthy condition; LST increases under stress conditions and decreases gradually during recovery conditions. Then, analyses of long timeseries for SIF, GPP, NDVI, and LST from 2010 to 2017 are conducted. These performances demonstrate SIF is much more sensitive than GPP, the NDVI, and LST during drought conditions. When vegetation is in the condition of water stress, SIF has earlier responses than other parameters. Last, the relationships between SIF and soil moisture in 2010-2016 yield significant results, with the correlation coefficient r = 0.56, 0.71, 0.75, 0.74, 0.62, 0.52 and 0.47, sequentially. The correlation coefficients are used to measure how strong a relationship is between two variables. This work demonstrates that SIF is a good way to monitor water condition change, and may play a great role in drought monitoring in the future.
Fichier principal
Vignette du fichier
TRES_A_1506186 -1.pdf (3.41 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02377734 , version 1 (08-12-2020)

Identifiants

Citer

Zhuoya Ni, Hongyuan Huo, Shihao Tang, Zhao-Liang Li, Zhigang Liu, et al.. Assessing the response of satellite sun-induced chlorophyll fluorescence and MODIS vegetation products to soil moisture from 2010 to 2017: a case in Yunnan Province of China. International Journal of Remote Sensing, 2019, 40 (5-6), pp.2278-2295. ⟨10.1080/01431161.2018.1506186⟩. ⟨hal-02377734⟩
30 Consultations
121 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More