Wavelet coherence analysis to assess cross-correlation of Mediterranean vegetation and drought condition at local scale

被引:1
|
作者
Perez, Martina [1 ]
Lombardi, Danilo [1 ]
Vitale, Marcello [1 ]
机构
[1] Sapienza Univ Rome, Dept Environm Biol, I-00185 Rome, Italy
关键词
wavelet analysis; change-point; climate change; Mediterranean ecosystems; vegetation index; CLIMATE-CHANGE; TREE MORTALITY; DYNAMICS; CLOUD;
D O I
10.1109/MetroAgriFor58484.2023.10424304
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
Intensive droughts have become increasingly prevalent worldwide, with significant implications for ecosystems. The Mediterranean region, particularly vulnerable to climate change, has witnessed escalating aridity over recent decades. This study investigates the responses of two Mediterranean SIC sites in Italy, characterized by distinct vegetation types, to aridity. The analysis relies on historical time series data of the Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI), obtained through remote sensing technology. The objectives of the study encompass examining the temporal cause-effect relationship between vegetation response and aridity, as measured by the Standardized Precipitation Evapotranspiration Index (SPEI). To achieve this, the application of cross-spectrum wavelet coherence (SP-WTC) analysis is employed. This technique enables the identification of frequency bands and time intervals exhibiting covariation between drought conditions (SPEI) and vegetation indices (NDVI or EVI). The research highlights the significant role of wavelet coherence in capturing both time and frequency localization, aiding the detection of vegetation changes resulting from extreme events like droughts. Additionally, the phase difference of wavelet coherence is computed to elucidate oscillation patterns between the time-series, providing insights into correlation, lagging, and leading relationships. The findings of this study will contribute to a better understanding of how different Mediterranean vegetation species and communities respond to aridity. The analysis of long-term vegetation dynamics and their interaction with aridity is crucial for informing policy and management practices in the Mediterranean region. Furthermore, this research showcases the potential of remote sensing techniques, such as wavelet analysis, for large-scale vegetation monitoring and assessment of ecosystem responses to changing climatic conditions.
引用
收藏
页码:679 / 684
页数:6
相关论文
共 50 条
  • [31] A Detection Method for Friction Vibration Based on Harmonic Wavelet Packet Transform and Cross-Correlation Analysis
    Xing, Pengfei
    Li, Guobin
    Liu, Ting
    Gao, Hongtao
    Wang, Guoyou
    JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 2018, 140 (03):
  • [32] ANALYSIS OF CROSS-CORRELATION OF SOFTWARE AND HARDWARE OF LOCAL COMPUTER-NETWORKS IN THE PROCESS OF THEIR DEBUGGING
    GORELIK, BP
    AVTOMATIKA I VYCHISLITELNAYA TEKHNIKA, 1986, (02): : 38 - 44
  • [33] Cross-correlation as an alternative for Local Activation Times for the analysis of reentries in Directed Graph Mapping
    Bezerra, Arthur S.
    Hendrickx, Sander
    van den Abeele, Robin
    Wulfers, Eike M.
    Verstraeten, Bjorn
    Lootens, Sebastiaan
    Okenov, Arstanbek
    Nezlobinsky, Timur
    Knecht, Sebastien
    Duytschaever, Mattias
    Segers, Vincent F. M.
    Vandersickel, Nele
    BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2025, 106
  • [34] Analyzing Functional Connectivity in the Brain using Cross-Correlation Analysis of Local Field Potentials
    Pharande, Maitreyee
    Khan, Aslam
    Pham, Vu
    Le, Thong
    Wellman, Laurie
    Britten, Richard A.
    Sanford, Larry D.
    Yoon, Hargsoon
    NANO-, BIO-, INFO-TECH SENSORS AND WEARABLE SYSTEMS, 2021, 11590
  • [35] Spatiotemporal analysis of drought severity and vegetation health using wavelet coherence: A case study in arid regions of Saudi Arabia
    Alsubih, Majed
    Mallick, Javed
    Alqadhi, Saeed
    Hang, Hoang Thi
    THEORETICAL AND APPLIED CLIMATOLOGY, 2025, 156 (03)
  • [36] Interplane bulk motion analysis and removal based on normalized cross-correlation in optical coherence tomography angiography
    Fan, Jinyu
    He, Yi
    Wang, Pinghe
    Liu, Guangxing
    Shi, Guohua
    JOURNAL OF BIOPHOTONICS, 2020, 13 (07)
  • [37] A new alignment method based on the wavelet multi-scale cross-correlation for noisy high resolution ECG records
    Laciar, E
    Jané, R
    Brooks, DH
    PROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINE, 2001, 23 : 2142 - 2145
  • [38] Spatiotemporal analysis of drought severity and vegetation health using wavelet coherence: A case study in arid regions of Saudi ArabiaSpatiotemporal analysis of drought severity and vegetation health using wavelet coherence: A case study in arid regions of Saudi ArabiaM. Alsubih et al.
    Majed Alsubih
    Javed Mallick
    Saeed Alqadhi
    Hoang Thi Hang
    Theoretical and Applied Climatology, 2025, 156 (3)
  • [39] Relationships Between Respiratory Muscle Pressure And Esophageal Pressure. Spectral Coherence And Cross-Correlation Analysis
    Serrano Simon, J.
    Ruiz Ferron, F.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2015, 191
  • [40] A Novel Approach for Flow Analysis in Pulsating Heat Pipes: Cross-Correlation of Local Heat Flux
    Iwata, Naoko
    Bozzoli, Fabio
    Pagliarini, Luca
    Cattani, Luca
    Malavasi, Matteo
    Rainieri, Sara
    ENERGIES, 2022, 15 (22)