Surface Water Quality Assessment through Remote Sensing Based on the Box–Cox Transformation and Linear Regression
A methodology to estimate surface water quality using remote sensing is presented based on Landsat satellite imagery and in situ measurements taken every six months at four separate sampling locations in a tropical reservoir from 2015 to 2019. The remote sensing methodology uses the Box–Cox transfor...
Main Authors: | Juan G. Loaiza, Jesús Gabriel Rangel-Peraza, Sergio Alberto Monjardín-Armenta, Yaneth A. Bustos-Terrones, Erick R. Bandala, Antonio J. Sanhouse-García, Sergio A. Rentería-Guevara |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-07-01
|
Series: | Water |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-4441/15/14/2606 |
Similar Items
-
Symmetry Analysis of the Uncertain Alternative Box-Cox Regression Model
by: Liang Fang, et al.
Published: (2021-12-01) -
PERFORMANCE COMPARISON OF BOX-COX TRANSFORMATION AND WEIGHTED VARIANCE METHODS WITH WEIBULL DISTRIBUTION
by: Bahar Sennaroğlu, et al.
Published: (2015-07-01) -
Box-Cox Gamma-G Family of Distributions: Theory and Applications
by: Abdulhakim A. Al-Babtain, et al.
Published: (2020-10-01) -
Application of Box-Cox transformation in the determination of extreme precipitation climate events in the Yangtze sub-basins
by: Yao WU, et al.
Published: (2022-02-01) -
Preferring Box-Cox transformation, instead of log transformation to convert skewed distribution of outcomes to normal in medical research
by: S. Marimuthu, et al.
Published: (2022-05-01)