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Estimating Chlorophyll-a of Inland Water Bodies in Greece Based on Landsat Data
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Sea water quality monitoring using remote sensing techniques: a case study in Tangier-Ksar Sghir coastline.
Selecting the Best Band Ratio to Estimate Chlorophyll-a Concentration in a Tropical Freshwater Lake Using Sentinel 2A Images from a Case Study of Lake Ba Be (Northern Vietnam)
Spatiotemporal Dynamics of Water Quality Indicators in Koka Reservoir, Ethiopia
Paper Details
Paper Name:
Estimating Chlorophyll-a of Inland Water Bodies in Greece Based on Landsat Data
Authors:
V. Markogianni,D. Kalivas,G. Petropoulos,E. Dimitriou
Journal:
Remote. Sens.
Date:
2020
URL:
https://app.readcube.com/library/eeeabbd4-b0f2-4d1d-af2b-b1d02dd21a9d/item/44f89c2f-6fa1-49a9-8eb6-11440096b89c
DOI:
10.3390/rs12132087
Add Data
Sample (n)
Parameter
Model/Algorithm
Formula
r^2
RMSE
Study Area
Satellite
Reference
Formula Details
Sample (n)
Parameter
Model/Algorithm
Formula
r^2
RMSE
Study Area
Satellite
Reference
481
Chl-a
Linear Regression
log Chla = 3.599- 0.63 x ((B1/B3))-2.183 x ( (ln B3)/(ln B7))
0.425000011920929
1.95000004768372
Greece
Landsat 7 & Landsat 8
Model 1
85
Chl-a
Linear Regression
log Chla = 4.443 - 1.421 x ((B2/B3)) -3.454 x ((ln B4)/(ln B7))+1.304 x ((B4/B3))
0.601999998092651
1.25
Greece
Landsat 7 & Landsat 8
Model 2
125
Chl-a
Linear Regression
log Chla = 2.919 - 2.011 x ((ln B4)/(ln B6)) + 1.449 ((B4)/(B3))-1.441 x ((ln B4)/(ln B2))
0.574000000953674
1.25999999046326
Greece
Landsat 7 & Landsat 8
Model 3