Leaf area index and vegetation cover of the Paripe river mangrove, Pernambuco, Brazil, in 1997 and 2017

Medeiros, Thereza Christina Costa; Sampaio, Everardo V. S. B.; Nascimento, Diego Marcelino do

doi:10.5894/rgci-n119

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“…It is an indicator of ecological processes, such as photosynthesis, plant and soil respiration, net primary productivity and energy exchange rates between plants and the atmosphere [17]. It can be used to predict future growth and changes in canopy structure, which are fundamental aspects of environmental management [18]. Specifically, when a plant grows, even after a disturbance, its leaf area index increases with the increase in leaf density.…”

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confidence: 99%

The Utility of Sentinel-2 MSI Data to Estimate Wetland Vegetation Leaf Area Index in Natural and Rehabilitated Wetlands

2021

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Wetland ecosystems are being modified and threatened due to anthropogenic activities and climate change, hence the urgent need for wetland restoration. Wetland rehabilitation is important in the reversal of these dire conditions, and this can be pursued through restoring damaged wetland ecosystems and recovering wetland vegetation. Wetland biophysical properties such as leaf area index (LAI) are important indicators of vegetation productivity and stress. Therefore, the study sought to test the potential of Sentinel-2 multispectral instrument (MSI) derived standard bands, traditional vegetation indices and red-edge derived vegetation indices in estimating wetland vegetation LAI across natural and rehabilitated wetlands. Traditional field surveys were carried out for LAI measurement of wetland vegetation using the LAI-2200 Plant Canopy Analyser. Partial Least Squares Regression (PLSR) algorithms were used to compare the estimation strength of models derived from all Sentinel-2 MSI bands, conventional vegetation indices and red-edge derived vegetation indices. Leave-one-out cross-validation (LOOCV) was completed on a selected measured dataset to evaluate the performance and accuracy of the estimation models. The optimal models for estimating wetland vegetation LAI were produced based on red-edge bands centred between the 705–783 nm as well as the 865 nm (Band 8a) of the electromagnetic spectrum. The results showed that vegetation indices derived from red-edge bands performed better at estimating LAI for both wetlands with a root mean square error of prediction (RMSE) of 0.32 m2/m2 and R2 of 0.61 for the natural wetland, and RMSE of 0.51 m2/m2 and R2 of 0.75 for the rehabilitated wetland. The optimal model for predicting LAI across natural and rehabilitated wetlands was attained based on red-edge bands centred at 705 nm (Band 5), 740 nm (Band 6), 783 nm (Band 7) as well as 865 nm (Band 8a) yielding a RMSE of 0.51 m2/m2 and R2 of 0.54. Overall, the results underscore the importance of remotely sensed derived data and vegetation indices in the optimal characterisation of wetland vegetation productivity which can be utilized in the monitoring and management of wetland ecosystems.

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Section: Introductionmentioning

confidence: 99%

The Utility of Sentinel-2 MSI Data to Estimate Wetland Vegetation Leaf Area Index in Natural and Rehabilitated Wetlands

2021

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“…The red mangrove, R. mangle, is an essential mangrove species and occurs in many countries, including Brazil. It has support roots and a root system that eliminates a large part of the salt present in the water and is considered a facultative halophyte (Rebelo-Mochel et al, 2007;Medeiros et al, 2018). Mathematical models relating chlorophyll indices measured using portable chlorophyll meters and chlorophyll concentrations for red mangroves have been developed for the SPAD-502 (Connelly, 1997) and the CCM-200 (Biber, 2007;Flores-de-Santiago et al, 2013).…”

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Relationships between portable chlorophyll meter estimates for the red mangrove tree (Rhizophora mangle L.)

et al. 2020

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Leaf area index and vegetation cover of the Paripe river mangrove, Pernambuco, Brazil, in 1997 and 2017

Cited by 2 publications

References 0 publications

The Utility of Sentinel-2 MSI Data to Estimate Wetland Vegetation Leaf Area Index in Natural and Rehabilitated Wetlands

The Utility of Sentinel-2 MSI Data to Estimate Wetland Vegetation Leaf Area Index in Natural and Rehabilitated Wetlands

Relationships between portable chlorophyll meter estimates for the red mangrove tree (Rhizophora mangle L.)

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