Abstract
Hyperspectral sensing devices are being increasingly applied in the field of environmental monitoring. High spatial and spectral resolution hyperspectral data are particularly suited for detecting the vegetation health state due to the unique spectral characteristics exhibited by green plants. Wetlands are capable of filtering polluted water, with their functionality strictly related to the health state of the plants bedded out in the lagoon. This paper presents a ground spectroscopy monitoring survey of the vegetation implanted in the constructed wetland unit located in the wastewater treatment plant for domestic sewage of Latina Mare. The measurement campaign was carried out through the collection of hyperspectral data by means of a spectroradiometer. Broadband indices of vegetation were computed from the data acquired to infer the plant health state. For the test case discussed in this contribution, there is a remarkable agreement between data acquired and the observations at the ground. The broadband indices Red Difference Vegetation Index, Simple Ratio and Transformed Vegetation Index make it possible to highlight the vegetation health state in the investigated wetland unit. Removal efficiency of the unit well reflected the values of the indices.
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References
Adam E, Mutanga O, Rugege D (2010) Multispectral and hyperspectral remote sensing for identification and mapping of wetland vegetation: a review. Wetlands Ecol Manag 18:281–296
Domínguez-Beisiegel M, Castañeda C, Mougenot B, Herrero J (2016) Analysis and mapping of the spectral characteristics of fractional green cover in saline wetlands (NE Spain) using field and remote sensing data. Remote Sens 8(7):590
Dotro G, Langergraber G, Molle P, Nivala J, Puigagut J, Stein O, von Sperling M (2017) Volume 7 treatment wetlands. Biological wastewater treatment series. IWA Publishing, London
Guo M, Li J, Sheng C, Xu J, Wu L (2017) A review of wetland remote sensing. Sensors 17(4):777
Kadlec RH, Knight RL (1996) Treatment wetlands. Lewis Publishers, Boca Raton
Moroni M, Lupo E, Cenedese A (2013) Hyperspectral proximal sensing of Salix Alba Trees in the Sacco River Valley (Latium, Italy). Sensors 13(11):14633–14649
Moroni M, Porti M, Piro P (2019) Design of a remote-controlled platform for green roof plants monitoring via hyperspectral sensors. Water 11(7):1368
Obarska-Pempkowiak H, Gajewska M, Wojciechowska E, Pempkowiak J (2015) Treatment wetlands for environmental pollution control. Springer, Cham
Ollinger SV (2011) Sources of variability in canopy reflectance and the convergent properties of plants. New Phytol 189:375–394
Piro P, Porti M, Veltri S, Lupo E, Moroni M (2017) Hyperspectral monitoring of green roof vegetation health state in sub-Mediterranean climate: preliminary results. Sensors 17:662
Potter C (2018) Recovery rates of wetland vegetation greenness in severely burned ecosystems of Alaska derived from satellite image analysis. Remote Sens 10(9):1456
Strous M, Kuenen JG, Jetten MS (1999) Key physiology of anaerobic ammonium oxidation. Appl Environ Microbiol 65(7):3248–3250
Tan E, Hsu TC, Huang X, Lin HJ, Kao SJ (2017) Nitrogen transformations and removal efficiency enhancement of a constructed wetland in subtropical Taiwan. Sci Total Environ 601–602:1378–1388
Vymazal J (2009) The use constructed wetlands with horizontal sub-surface flow for various types of wastewater. Ecol Eng 35(1):1–17
Walter M, Mondal P (2019) A Rapidly Assessed Wetland Stress Index (RAWSI) using Landsat 8 and Sentinel-1 radar data. Remote Sens 11(21):2549
Zhang S, Liu F, Xiao R, He Y, Wu J (2016) Nitrogen removal in Myriophyllum aquaticum wetland microcosms for swine wastewater treatment: 15N-labelled nitrogen mass balance analysis. J Sci Food Agric 97(2):505–511
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Chiavola, A., Bagolan, C., Moroni, M. et al. Hyperspectral monitoring of a constructed wetland as a tertiary treatment in a wastewater treatment plant. Int. J. Environ. Sci. Technol. 17, 3751–3760 (2020). https://doi.org/10.1007/s13762-020-02725-w
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DOI: https://doi.org/10.1007/s13762-020-02725-w