Title: Systems and methods for modeling water quality

Abstract

A system, method, device and computer-readable medium for creating an ensemble model of water quality. The ensemble model is generated by determining a set of optimal component models for spectral regions of a body of water, and combining the optimal models. The optimal models can be based on remote sensing data, including satellite imagery. A K-fold partition approach or a global approach can be used to determine the optimal component models, and the optimal component models can be combined through spectral space partition rules to generate an ensemble model of water quality. The ensemble model not only has improved water quality prediction ability, but also has strong spatial and temporal extensibility. The spatial and temporal extensibility of the ensemble model is fundamentally important and desirable for long-term and large-scale remote sensing monitoring and assessment of water quality.

Inventors:

Liu, Hongxing; Xu, Min

Issue Date:

2023-06-20

Research Org.:

Univ. of Alabama, Tuscaloosa, AL (United States)

Sponsoring Org.:

USDOE; National Aeronautics and Space Administration (NASA)

OSTI Identifier:

1998513

Patent Number(s):

11681839

Application Number:

16/943,290

Assignee:

The Board of Trustees of the University of Alabama (Tuscaloosa, AL)

DOE Contract Number:  

NNC16MF95P

Resource Type:

Patent

Resource Relation:

Patent File Date: 07/30/2020

Country of Publication:

United States

Language:

English