Satellite hyperspectral remote sensing for estimating estuarine and coastal water quality

By Vittorio Ernesto Brando, Arnold G. Dekker. IEEE Transactions on Geoscience and Remote Sensing, 2003

538 citations recorded by the source corpus.

Subfields: Global and Planetary Change, Oceanography, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/dd1f218a17c6de42adc91178044d8f292bf0a147

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Global and Planetary Change

1. Assefa M. Melesse
2. Mohammad Haji Gholizadeh
3. Lakshmi Reddi

In Oceanography

1. Assefa M. Melesse
2. Mohammad Haji Gholizadeh
3. Lakshmi Reddi

In Water Science and Technology

1. Assefa M. Melesse
2. Mohammad Haji Gholizadeh
3. Lakshmi Reddi

Citations in the corpus

• Seaborne measurements of near infrared water‐leaving reflectance: The similarity spectrum for turbid waters (2006, background): “1998; Brando and Dekker 2003; Dall’Olmo and Gitelson 2005), although a very careful quantification of data and analysis of measurement protocol, data processing, and instrument characteristics would be necessary for a full explanation. Differences between the similarity spectrum derived from the Kou”
• A Comprehensive Review on Water Quality Parameters Estimation Using Remote Sensing Techniques (2016, methodology): “Several studies have confirmed that high spectral resolution (10 nm or better) can improve the estimation of water inherent optical properties (IOP) in coastal water [8,148,149].”