Analysis of Cross-Seasonal Spectral Response from Kettle Holes: Application of Remote Sensing Techniques for Chlorophyll Estimation

Rahmatulla Igamberdiev,Hendrik Schubert,Bernd Lennartz,Ralf Bill

doi:10.3390/rs4113481

Rahmatulla Igamberdiev, Hendrik Schubert + Show 2 more

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https://doi.org/10.3390/rs4113481

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Journal: Remote Sensing	Publication Date: Nov 16, 2012
Citations: 37	License type: CC BY 4.0

Affiliation: University of Greifswald, University of Rostock

Abstract

Kettle holes, small inland water bodies usually less than 1 ha in size, are subjected to pollution, drainage, and structural alteration by intensive land use practices. This study presents the analysis of spectral signatures from kettle holes based on in situ water sampling and reflectance measurements in application for chlorophyll estimation. Water samples and surface reflectance from kettle holes were collected from 6 ponds in 15 field campaigns (5 in 2007 and 10 in 2008), resulting in a total of 80 spectral datasets. We assessed the existing semi-empirical algorithms to determine chlorophyll content for different types of kettle holes using seasonal and cross-seasonal volume reflectance and derivative spectra. Based on this analysis and optical properties of water leaving reflectance from kettle holes, the following typology of the remote signal interpretation was proposed: Submerged vegetation, Phytoplankton dominated and Mixed type.

Highlights

The acquisition of inland water quality (WQ) parameters by means of remote sensing is an important but tedious task due to the pronounced spatial and temporal variability of the most in-water constituents, especially in small shallow water bodies
Peak Magnitude Above a Baseline and Position of Peak algorithms and CHL gave consistent correlations. These results showed that the response of the kettle holes to agricultural activity in terms of water quality can be determined by means of remote sensing
The spectral signatures from the Submerged vegetation type of kettle holes are comparable to reflection from vegetation cover with a smaller magnitude

Summary

Introduction

The acquisition of inland water quality (WQ) parameters by means of remote sensing is an important but tedious task due to the pronounced spatial and temporal variability of the most in-water constituents, especially in small shallow water bodies. Small inland waters such as kettle holes (usually less than 1 ha in size) are subjected to pollution, drainage, and structural alteration by intensive land use practices [1]. Compared to conventional laboratory analysis, VNIRS is accepted as rapid and potentially cost-effective method It can be applied in the field by portable spectrometers [4]. With proper equipment and methodology, spectrometry can be conducted under a variety of conditions [6]

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