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Remote Sens. 2017, 9(4), 392; doi:10.3390/rs9040392

Modeling Biomass Production in Seasonal Wetlands Using MODIS NDVI Land Surface Phenology

1
Remote Sensing and GIS Lab (LAST-EBD), Estación Biológica de Doñana (CSIC), C/Américo Vespucio 26, Isla de la Cartuja, Sevilla 41092, Spain
2
Department of Wetland Ecology, Estación Biológica de Doñana (CSIC), C/Américo Vespucio 26, Isla de la Cartuja, Sevilla 41092, Spain
3
Department of Ethology & Biodiversity Conservation, Estación Biológica de Doñana (CSIC), C/Américo Vespucio 26, Isla de la Cartuja, Sevilla 41092, Spain
*
Authors to whom correspondence should be addressed.
Academic Editors: Lalit Kumar, Onisimo Mutanga, Xiaofeng Li and Prasad S. Thenkabail
Received: 3 March 2017 / Revised: 1 April 2017 / Accepted: 17 April 2017 / Published: 21 April 2017
(This article belongs to the Special Issue Remote Sensing of Above Ground Biomass)
View Full-Text   |   Download PDF [6406 KB, uploaded 21 April 2017]   |  

Abstract

Plant primary production is a key driver of several ecosystem functions in seasonal marshes, such as water purification and secondary production by wildlife and domestic animals. Knowledge of the spatio-temporal dynamics of biomass production is therefore essential for the management of resources—particularly in seasonal wetlands with variable flooding regimes. We propose a method to estimate standing aboveground plant biomass using NDVI Land Surface Phenology (LSP) derived from MODIS, which we calibrate and validate in the Doñana National Park’s marsh vegetation. Out of the different estimators tested, the Land Surface Phenology maximum NDVI (LSP-Maximum-NDVI) correlated best with ground-truth data of biomass production at five locations from 2001–2015 used to calibrate the models (R2 = 0.65). Estimators based on a single MODIS NDVI image performed worse (R2 ≤ 0.41). The LSP-Maximum-NDVI estimator was robust to environmental variation in precipitation and hydroperiod, and to spatial variation in the productivity and composition of the plant community. The determination of plant biomass using remote-sensing techniques, adequately supported by ground-truth data, may represent a key tool for the long-term monitoring and management of seasonal marsh ecosystems. View Full-Text
Keywords: Land Surface Phenology; wetlands; above ground biomass; NDVI; MODIS time series Land Surface Phenology; wetlands; above ground biomass; NDVI; MODIS time series
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Lumbierres, M.; Méndez, P.F.; Bustamante, J.; Soriguer, R.; Santamaría, L. Modeling Biomass Production in Seasonal Wetlands Using MODIS NDVI Land Surface Phenology. Remote Sens. 2017, 9, 392.

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