<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>3192</id>
    <completedYear>2024</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>7</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>article</type>
    <publisherName>Wiley</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2024-08-07</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Unleashing the power of remote sensing data in aquatic research: Guidelines for optimal utilization</title>
    <abstract language="eng">The growing utilization of remote sensing data in lake studies provides crucial spatial insights into biogeochemistry and biology. However, clarity regarding the development and intended use of remote sensing products is often lacking. This letter aims to elucidate the tradeoffs for the utilization of remote sensing data in limnological studies with an example of based on the estimation of chlorophyll a due to its importance as a water quality indicator. The analysis initiates with a meticulous product selection, requiring an evaluation of its capacity to address the optical complexity of freshwater systems. Assessing atmospheric correction and product limitations ensures alignment with the study's objectives. Subsequently, rigorous validation of remote sensing products is essential, accompanied by a cautious interpretation of the data. This letter advocates for the use of remote sensing data, offering key strategies for their optimal utilization in lake studies.</abstract>
    <parentTitle language="eng">Limnology and Oceanography Letters</parentTitle>
    <identifier type="doi">10.1002/lol2.10427</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <enrichment key="PeerReviewNachweis">ja</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0</licence>
    <author>Igor Ogashawara</author>
    <author>Sabine Wollrab</author>
    <author>Stella A. Berger</author>
    <author>Christine Kiel</author>
    <author>Andreas Jechow</author>
    <author>Alexis L. N. Guislain</author>
    <author>Peter Gege</author>
    <author>Thomas Ruhtz</author>
    <author>Martin Hieronymi</author>
    <author>Thomas Schneider</author>
    <author>Gunnar Lischeid</author>
    <author>Gabriel A. Singer</author>
    <author>Franz Hölker</author>
    <author>Hans-Peter Grossart</author>
    <author>Jens Christian Nejstgaard</author>
    <collection role="institutes" number="">Fachbereich Technik</collection>
    <collection role="Hochschulbibliografie" number="1">Hochschulbibliografie</collection>
    <thesisPublisher>Technische Hochschule Brandenburg</thesisPublisher>
  </doc>
</export-example>
