iForest - Biogeosciences and Forestry


Assessing water quality by remote sensing in small lakes: the case study of Monticchio lakes in southern Italy

G Mancino (1), A Nolè (1), V Urbano (2), M Amato (1), A Ferrara (1)   

iForest - Biogeosciences and Forestry, Volume 2, Issue 4, Pages 154-161 (2009)
doi: https://doi.org/10.3832/ifor0507-002
Published: Jul 30, 2009 - Copyright © 2009 SISEF

Research Articles

In order to investigate bio-physical parameters associated with water quality, a model based on calibrated and atmospherically corrected Remotely Sensed data has been implemented. Secchi Disk depth and chlorophyll concentration parameters were estimated in a system of very small lakes at Monticchio (Italy) using Landsat TM data. The model was developed through the use of stepwise multiple regression and gave high coefficients of determination (R2 = 0.82 for Secchi Disk and R2 = 0.72 for chlorophyll). Values for water transparency were strongly correlated with chlorophyll a concentration: a linear relationship between the two parameters showed a high coefficient of determination (R2 = 0.93). The case study shows that the application of this approach on lakes with a small surface area, such as the Monticchio lakes in Southern Italy, is effective and the developed model well describes the water quality parameters.


Water quality, Landsat, chlorophyll, Secchi Disk transparency, Remote Sensing, Monticchio Lakes

Authors’ address

G Mancino
A Nolè
M Amato
A Ferrara
Department of Crop Science, Forest and Environment, University of Basilicata, Potenza (Italy)
V Urbano
International PhD in “Crop system, Forest and Environmental Sciences”, University of Basilicata, Potenza (Italy)

Corresponding author


Mancino G, Nolè A, Urbano V, Amato M, Ferrara A (2009). Assessing water quality by remote sensing in small lakes: the case study of Monticchio lakes in southern Italy. iForest 2: 154-161. - doi: 10.3832/ifor0507-002

Academic Editor

Marco Borghetti

Paper history

Received: Apr 29, 2009
Accepted: May 23, 2009

First online: Jul 30, 2009
Publication Date: Jul 30, 2009
Publication Time: 2.27 months

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