Variable Transformation in Chlorophyll-a Satellite Algorithm Calibration
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F25%3A39923033" target="_blank" >RIV/00216275:25410/25:39923033 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11103553" target="_blank" >https://ieeexplore.ieee.org/document/11103553</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ZINC65316.2025.11103553" target="_blank" >10.1109/ZINC65316.2025.11103553</a>
Alternative languages
Result language
angličtina
Original language name
Variable Transformation in Chlorophyll-a Satellite Algorithm Calibration
Original language description
In this paper, we demonstrate how applying variable transformations tailored to meet key ordinary least-squares (OLS) assumptions can significantly improve the performance of a satellite-based algorithm for chlorophyll-a (chl-a) concentration estimation. Focusing on the 3BDA predictor, we tested an optimal set of transformations-log, square-root, and cube-root-on both the dependent and independent variables. The best combination reduced the cross-validated root mean square error (RMSE) from 28.5 to 22 mg/m(3) relative to the commonly used single log transformation of chl-a, thereby increasing algorithm precision. These findings underscore the broader relevance of ensuring OLS assumptions are satisfied for improved accuracy in semi-empirical modelling approaches.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10200 - Computer and information sciences
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
2025 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 2025
ISBN
979-8-3315-1153-1
ISSN
2995-2689
e-ISSN
2995-2689
Number of pages
6
Pages from-to
125-130
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
Novi Sad
Event date
May 28, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001562509500024