An inflection point-based method for estimating metrics of mangrove phenology combining climatic factors and Landsat NDVI time series

ABSTRACT The present research evaluated the prospects of utilizing rainfall and temperature combined with Landsat-8 derived HANTS (Harmonic Analysis of Time Series) reconstructed NDVI for estimating the metrics of the mangrove phenology. The selected period of the study was from 2013 to 2020 for the...

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Bibliographic Details
Published inJournal of water and climate change Vol. 15; no. 5; pp. 2059 - 2073
Main Authors Manne, Mounika, K., Rajitha
Format Journal Article
LanguageEnglish
Published London IWA Publishing 01.05.2024
Subjects
Algorithms
Carbon
Climate change
Datasets
Drought
Estimation
Fourier analysis
gross primary productivity
Harmonic analysis
harmonic analysis of time series
Inflection points
Landsat
Mangroves
Monsoon rainfall
Phenology
Precipitation
Primary production
Rainfall
Remote sensing
Seasons
Temperature
Temperature effects
Time series
Vegetation
Wind
z-score
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Summary:ABSTRACT The present research evaluated the prospects of utilizing rainfall and temperature combined with Landsat-8 derived HANTS (Harmonic Analysis of Time Series) reconstructed NDVI for estimating the metrics of the mangrove phenology. The selected period of the study was from 2013 to 2020 for the Pichavaram mangroves of Tamil Nadu. The NDVI and ERA5 (ECMWF Re-Analysis) datasets of rainfall and temperature were the input datasets for developing the new algorithm. The ‘z-score sum’ provided a measure of the cumulative impact of rainfall and temperature, displaying its most negative value coinciding with the peak positive value of the NDVI time series datasets. The algorithm developed for phenological metrics estimation identified the common inflection points of the z-score sum and NDVI curves. The temporal analysis of metrics revealed the average Length of Season (LoS) as 230 days. The metrics also identified the drought year 2016 with the shortest LoS and the least Gross Primary Productivity (GPP) values. The analysis showed the influences of the preceding year’s monsoon rainfall on the GPP values of the later part of the phenological cycle. The temperatures during the days of PoS were found to be the optimum temperature for the growth of mangroves.
ISSN:2040-2244
2408-9354
DOI:10.2166/wcc.2024.463