Monitoring inland water quality using remote sensing: potential and limitations of spectral indices, bio-optical simulations, machine learning, and cloud computing
Saint Louis University · Purdue University Northwest · +2 more institutions
Indexed incrossref
Abstract
No abstract available for this paper.
Citation impact
611
total citations
- FWCI
- 34.86
- Percentile
- 100%
- References
- 194
Citations per year
Authors
8Topics & keywords
Topics
Keywords
- Remote sensing
- Water quality
- Colored dissolved organic matter
- Environmental science
- Cloud computing
- Multispectral image
- Hyperspectral imaging
- Computer science
UN Sustainable Development Goals
- Clean water and sanitation
No related works found for this paper.