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		<isbn>978-85-17-00088-1</isbn>
		<label>59971</label>
		<citationkey>ParenteJúni:2017:DeOpMo</citationkey>
		<title>Desafios e oportunidades para o monitoramento da cobertura terrestre brasileira utilizando séries temporais Landsat</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>854 KiB</size>
		<author>Parente, Leandro Leal,</author>
		<author>Júnior, Laerte Guimarães Ferreira,</author>
		<electronicmailaddress>leal.parente@gmail.com</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>2146-2152</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>Land cover monitoring has become an important line of research, which has result in progressively more accurate information and greater spatial detail regarding the distribution of natural and anthropic landscapes. At the same time, the increase in computing power supported by cloud computing, the introduction of new classification methods based on time series, and the increasing availability of public satellite data have contributed to the emergence of a new generation of land cover monitoring products, capable of more appropriately depicting the dynamics of these landscapes and to support public policies. Specifically, this study evaluated the effective availability of Landsat 8 data (L1T) and their spatial distribution patterns across the Brazilian territory. Our results suggest that approximately 80% of Brazil have fewer than 12 annual observations free of clouds and/or cloud-shade. While the Cerrado is the Brazilian biome with the largest number of good quality observations, the Amazon biome is the most affected by low availability of observations, with large areas of Amapa state, northern Pará and regions in western Acre, Amazonas Roraima containing only one observation for the entire calendar year. The methods of analysis utilized in this study can be easily applied to the entire Landsat series, which will improve our understanding on data availability over time and enable the combined use of data from different Landsat satellites (e.g. Landsat 5 and 7).</abstract>
		<area>SRE</area>
		<type>Análise de séries temporais de imagens de satélite</type>
		<language>pt</language>
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