Posters
« Back
Estimation of the lakes optical  water types from satellites
EP26793
Poster Title: Estimation of the lakes optical water types from satellites' images
Submitted on 02 Jan 2018
Author(s): Kristi Uudeberg, Getter Põru, Ilmar Ansko, Ave Ansper, Martin Ligi
Affiliations: Tartu Observatory
This poster was presented at HIGHROC Science Conference
Poster Views: 1,502
View poster »


Poster Information
Abstract:
Remote sensing is a powerful tool for regular monitoring of lakes and coastal zone. Under programme Copernicus European Space Agency have been launched new satellite sensors, which provides us spectral, spatial and temporal resolution to monitor optically complex waters. However the variation of lakes' water colour is large and standard products often fail.
Classification of optical water types helps to clarify relationships between different properties inside a certain class and quantify variation between the classes. Optical water types were statistically identified from in situ measurements. Classification shows, that different optical water type have different remote sensing reflectance spectrum and each water type is associated with a specific bio-optical condition. In this study, we also investigate how well it is possible to define different optical water types form the in situ measured reflectance spectra, from satellite images and from images with different atmosphere corrections.
Summary: Each optical water type has characteristic reflectance spectrum. From satellite images optical water type spatial and temporal variation is visible, but different atmospheric corrections don't give the same results. Report abuse »
Questions
Ask the author a question about this poster.
Ask a Question »

Creative Commons

Related Posters


Mapping the Energy Poverty in Bihar: A Multidimensional Approach
Manjisha Sinha1 and Sendhil Ramadas2

Experiment Driven Computations of HOMO-LUMO and Steric Maps to Understand the Selectivity of Sensor on Metal: Insights from Al3+-‘imine-hydroxyl Pocket’ Model
K. Sivakumar (a)*, G. Parinamachivayam (a), and M. Murali Krishnan (b)

Grid turbulence studied by Particle Image Velocimetry
Duda, D. and Bém, J. and Yanovych, V. and Uruba, V.

Anthropogenic noise pollution: an increasing threat to marine animals
Sue Godsell

The genus Turbinaria: chemical and pharmacological diversity
Mohammed I. Rushdi , Iman A. M. Abdel- Rahman , Hani Saber , Eman Zekry Attia , Wedad M. Abdelraheem , Hashem A. Madkour e, Usama Ramadan Abdelmohsen