Spatiotemporal Dynamics of Submerged Aquatic Vegetation in a Deep Lake from Sentinel-2 Data
| Autor: | Rossano Bolpagni, Mariano Bresciani, Claudia Giardino, Marco Pilotti, Nicola Ghirardi, Giulia Valerio |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
0106 biological sciences
lcsh:Hydraulic engineering 010504 meteorology & atmospheric sciences Geography Planning and Development Najas marina Context (language use) Aquatic Science Vallisneria spiralis Lake Iseo 01 natural sciences Biochemistry phenology lcsh:Water supply for domestic and industrial purposes lcsh:TC1-978 Aquatic plant 14. Life underwater SAV seasonal successions lake 0105 earth and related environmental sciences Water Science and Technology lcsh:TD201-500 biology sentinel-2 010604 marine biology & hydrobiology Sediment 15. Life on land Albedo biology.organism_classification Substrate (marine biology) Macrophyte macrophytes Bio-optical model Macrophytes Phenology Environmental science bio-optical model Physical geography |
| Zdroj: | Water Volume 11 Issue 3 Water, Vol 11, Iss 3, p 563 (2019) Water (Basel) (2019). info:cnr-pdr/source/autori:Nicola Ghirardi 1, Rossano Bolpagni 1,2,*, Mariano Bresciani 1, Giulia Valerio 3, Marco Pilotti 3 and Claudia Giardino 1/titolo:Spatiotemporal Dynamics of Submerged Aquatic Vegetation in a Deep Lake from Sentinel-2 Data/doi:/rivista:Water (Basel)/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume |
| ISSN: | 2073-4441 |
| DOI: | 10.3390/w11030563 |
| Popis: | We mapped the extent of submerged aquatic vegetation (SAV) of Lake Iseo (Northern Italy, over the 2015&ndash 2017 period based on satellite data (Sentinel 2 A-B) and in-situ measurements the objective was to investigate its spatiotemporal variability. We focused on the southern sector of the lake, the location of the shallowest littorals and the most developed macrophyte communities, mainly dominated by Vallisneria spiralis and Najas marina. The method made use of both in-situ measurements and satellite data (22 Sentinel 2 A-B images) that were atmospherically corrected with 6SV code and processed with the BOMBER (Bio-Optical Model-Based tool for Estimating water quality and bottom properties from Remote sensing images). This modeling system was used to estimate the different substrate coverage (bare sediment, dense stands of macrophytes with high albedo, and sparse stand of macrophytes with low albedo). The presented results substantiate the existence of striking inter- and intra-annual variations in the spatial-cover patterns of SAV. Intense uprooting phenomena were also detected, mainly affecting V. spiralis, a species generally considered a highly plastic pioneer taxon. In this context, remote sensing emerges as a very reliable tool for mapping SAV with satisfactory accuracy by offering new perspectives for expanding our comprehension of lacustrine macrophyte dynamics and overcoming some limitations associated with traditional field surveys. |
| Databáze: | OpenAIRE |
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