Next Article in Journal
Long-Term Changes of Hydrological Variables in a Small Lowland Watershed in Central Poland
Next Article in Special Issue
Monitoring Coastal Lagoon Water Quality Through Remote Sensing: The Mar Menor as a Case Study
Previous Article in Journal
Solving Management Problems in Water Distribution Networks: A Survey of Approaches and Mathematical Models
Article Menu
Issue 3 (March) cover image

Export Article

Open AccessArticle

Spatiotemporal Dynamics of Submerged Aquatic Vegetation in a Deep Lake from Sentinel-2 Data

1
Institute for Electromagnetic Sensing of the Environment, Consiglio Nazionale delle Ricerche, via Bassini 15, 20133 Milan, Italy
2
Department of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 11/A, 43124 Parma, Italy
3
DICATAM, Università degli Studi di Brescia, via Branze 43, 25123 Brescia, Italy
*
Author to whom correspondence should be addressed.
Water 2019, 11(3), 563; https://doi.org/10.3390/w11030563
Received: 21 January 2019 / Revised: 11 March 2019 / Accepted: 14 March 2019 / Published: 18 March 2019
(This article belongs to the Special Issue Application of Remote Sensing and GIS in Aquatic Ecosystems)
  |  
PDF [11715 KB, uploaded 27 March 2019]
  |  

Abstract

We mapped the extent of submerged aquatic vegetation (SAV) of Lake Iseo (Northern Italy, over the 2015–2017 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. View Full-Text
Keywords: macrophytes; Vallisneria spiralis; phenology; SAV seasonal successions; bio-optical model; Lake Iseo macrophytes; Vallisneria spiralis; phenology; SAV seasonal successions; bio-optical model; Lake Iseo
Figures

Figure 1

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).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Ghirardi, N.; Bolpagni, R.; Bresciani, M.; Valerio, G.; Pilotti, M.; Giardino, C. Spatiotemporal Dynamics of Submerged Aquatic Vegetation in a Deep Lake from Sentinel-2 Data. Water 2019, 11, 563.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top