Developing a novel index for detection of optically shallow waters using multispectral satellite imagery and radiative transfer modelling-Reference-Cited by-同舟云学术

Developing a novel index for detection of optically shallow waters using multispectral satellite imagery and radiative transfer modelling

Published:2024-07-04 Issue:14 Volume:45 Page:4788-4819
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Arabi Behnaz¹²,Moradi Masoud³,Zandler Harald¹⁴,Samimi Cyrus¹²⁵^ORCID,Verhoef Wouter⁶

Affiliation:

1. Faculty of Biology, Chemistry, and Earth Sciences, University of Bayreuth, Bayreuth, Germany

2. Bayreuth Center of Ecology and Environmental Research (BayCEER), University of Bayreuth, Bayreuth, Germany

3. Marine Remote Sensing Department, Iranian National Institute of Oceanography and Atmospheric Science (INIOAS), Tehran, Iran

4. Institute of Geography and Regional Science, University of Graz, Graz, Austria

5. Institute of African Studies (IAS), University of Bayreuth, Bayreuth, Germany

6. (Retired from) Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, The Netherland

Funder

This research is funded by the Research Group of Climatology, Faculty of Biology, Chemistry, and Earth Sciences University of Bayreuth, Germany

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2024.2368931

Reference49 articles.

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2. Arabi B. 2019. “Optical Remote Sensing of Water Quality in the Wadden Sea.” Doctoral diss. University of Twente ITC Faculty Geo-Information Science and Earth Observation Water Resources Department. https://library.itc.utwente.nl/papers_2019/phd/Arabi.pdf.

3. Integration of in-situ and multi-sensor satellite observations for long-term water quality monitoring in coastal areas

4. The impact of sea bottom effects on the retrieval of water constituent concentrations from MERIS and OLCI images in shallow tidal waters supported by radiative transfer modeling

5. MOD2SEA: A Coupled Atmosphere-Hydro-Optical Model for the Retrieval of Chlorophyll-a from Remote Sensing Observations in Complex Turbid Waters