20180726_Estimation of chlorophyll-a concentration in turbid productive waters using airborne...

1. Title, Journal and Authors

- Title: Estimation of chlorophyll-a concentration in turbid productive waters using airborne hyperspectral data

- Journal : Water Research

- Authors : Wesley J. Mosesa,b, Anatoly A. Gitelsona,b,*, Richard L. Perka,b, Daniela Gurlina,b, Donald C. Rundquista,b, Bryan C. Leavitta,b, Tadd M. Barrowb, Paul Brakhagec

- Affiliation :

a: Center for Advanced Land Management Information Technologies (CALMIT), University of Nebraska-Lincoln, 303 Hardin Hall, Lincoln, USA

b: School of Natural Resources, University of Nebraska-Lincoln, USA

c: Nebraska Department of Environmental Quality, Lincoln, NE, USA


2. Summary

- This paper suggested a methodology to estimate chlorophyll-a concentration in turbid productive waters, irrespective of variations in the bio-optical characteristics of water.

- These proposed algorithms are based on red and near infra-red (NIR) reflectance acquired by the hyperspectral sensor, Airborne Imaging Spectrometer for Applications (AISA).

- This methodology can be applied to capture the spatial distribution of chlorophyll-a. However, the various atmospheric affect the accuracy of chlorophyll-a retrieval.

- Two atmospheric correction procedures, FLAASH* and QUAC**, were applied to data.

- The result of comparison analysis between FLAASH and QUAC demonstrate a robust capability of QUAC to correct atmospheric effect.


*FLAASH: Fast line-of-sight atmospheric adjustment of spectral hypercubes

**QUAC: Quick atmospheric correction


3. Application to research

- The methodology can improve ability to manage water quality with preliminary assessment of chlorophyll-a in inland waters.

- The methodology for correcting the atmospheric effect will be very effective tools in monitoring water bodies with the hyperspectral sensor.


4. Contact

Heewon Jeong (Ph.D. program)

Environmental Systems Engineering Lab.

School of Environmental Science & Engineering

Gwangju Institute of Science and Technology

1 Oryong-dong Buk-gu Gwangju, 500-712, Korea

Email :  gua01114@gist.ac.kr

첨부 (0)