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<article language="en">
	<journal>
		<journal_title>Atmospheric Chemistry and Physics</journal_title>
		<journal_url>www.atmos-chem-phys.net</journal_url>
		<issn>1680-7316</issn>
		<eissn>1680-7324</eissn>
		<volume_number>7</volume_number>
		<issue_number>1</issue_number>
		<publication_year>2007</publication_year>
	</journal>
	<doi>10.5194/acp-7-69-2007</doi>
	<article_url>http://www.atmos-chem-phys.net/7/69/2007/</article_url>
	<abstract_html>http://www.atmos-chem-phys.net/7/69/2007/acp-7-69-2007.html</abstract_html>
	<fulltext_pdf>http://www.atmos-chem-phys.net/7/69/2007/acp-7-69-2007.pdf</fulltext_pdf>
	<start_page>69</start_page>
	<end_page>79</end_page>
	<publication_date>2007-01-10</publication_date>
	<article_title content_type="html">Satellite monitoring of different vegetation types by differential optical absorption spectroscopy (DOAS) in the red spectral range</article_title>
	<authors>
		<author numeration="1" affiliations="1">
			<name>T. Wagner</name>
			<email>thomas.wagner@iup.uni-heidelberg.de</email>
		</author>
		<author numeration="2" affiliations="1">
			<name>S. Beirle</name>
		</author>
		<author numeration="3" affiliations="1">
			<name>T. Deutschmann</name>
		</author>
		<author numeration="4" affiliations="1">
			<name>M. Grzegorski</name>
		</author>
		<author numeration="5" affiliations="1">
			<name>U. Platt</name>
		</author>
	</authors>
	<affiliations>
		<affiliation numeration="1" content_type="html">Institut für Umweltphysik, University of Heidelberg, Heidelberg, Germany</affiliation>
	</affiliations>
	<abstract content_type="html">A new method for the satellite remote sensing of different types of
vegetation and ocean colour is presented. In contrast to existing algorithms
relying on the strong change of the reflectivity in the red and near
infrared spectral region, our method analyses weak narrow-band (few nm)
reflectance structures (i.e. &quot;fingerprint&quot; structures) of vegetation in the
red spectral range. It is based on differential optical absorption
spectroscopy (DOAS), which is usually applied for the analysis of
atmospheric trace gas absorptions. Since the spectra of atmospheric
absorption and vegetation reflectance are simultaneously included in the
analysis, the effects of atmospheric absorptions are automatically corrected
(in contrast to other algorithms). The inclusion of the vegetation spectra
also significantly improves the results of the trace gas retrieval. The
global maps of the results illustrate the seasonal cycles of different
vegetation types. In addition to the vegetation distribution on land, they
also show patterns of biological activity in the oceans. Our results
indicate that improved sets of vegetation spectra might lead to more
accurate and more specific identification of vegetation type in the future.</abstract>
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</article>

