Hybrid forward-selection method-based water-quality estimation via combining Landsat TM, ETM+, and OLI/TIRS images and ancillary environmental data.
A simple approach to enable water-management agencies employing free data to create a single set of water quality predictive equations with satisfactory accuracy is proposed. Multiple regression-derived equations based on surface reflectance, band ratios, and environmental factors as predictor varia...
Main Authors: | Min-Cheng Tu, Patricia Smith, Anthony M Filippi |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2018-01-01
|
Series: | PLoS ONE |
Online Access: | http://europepmc.org/articles/PMC6066231?pdf=render |
Similar Items
-
Data on land use and land cover changes in Adama Wereda, Ethiopia, on ETM+, TM and OLI- TIRS landsat sensor using PCC and CDM techniques
by: A.S. Mohammed Abdul Athick, et al.
Published: (2019-06-01) -
Extraction of shorelines with sub-pixel precision from Landsat images (TM, ETM+, OLI)
by: J. Almonacid-Caballer
Published: (2015-06-01) -
Uncertainty Analysis of Remote Sensing Pretreatment for Biomass Estimation on Landsat OLI and Landsat ETM+
by: Qi Zhang, et al.
Published: (2020-01-01) -
MODIFIED OPTIMIZATION WATER INDEX (MOWI) FOR LANDSAT-8 OLI/TIRS
by: M. Moradi, et al.
Published: (2017-09-01) -
Comparative analysis of Landsat TM, ETM+, OLI and EO-1 ALI satellite images at the Tisza-tó area, Hungary
by: Loránd Szabó, et al.
Published: (2016-06-01)