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		<isbn>978-85-17-00088-1</isbn>
		<label>59860</label>
		<citationkey>XaudXaud:2017:CaDeMu</citationkey>
		<title>Características do desmatamento no município de Mucajaí ? Roraima ? Brasil</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Xaud, Maristela Ramalho,</author>
		<author>Xaud, Haron Abrahim Magalhães,</author>
		<electronicmailaddress>maristela.xaud@embrapa.br</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>6625-6631</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>In the Brazilian Amazon, deforestation has led to a rapid transformation of forest areas into other land use and land cover types. In Roraima, the understanding of transformation dynamics is the study object of GeoMucajaí Project, focusing on the municipality of Mucajaí, whose rates of deforestation and environmental degradation are the highest in the State, according to PRODES (Monitoring of the Brazilian Amazon Forest By Satellite) and DEGRAD (Mapping of Forest Degradation in the Brazilian Amazon). The present work aims to analyze deforestation in Mucajaí - Roraima, from 2000 to 2015, according to the size of the polygons detected by PRODES. The deforestation polygons were grouped by size into six categories: over 100 ha, 50 to 100 ha, 25 to 50 ha, 10 to 25 ha, 5 to 10 ha and below 5 ha. For each year, the percentage of clouds and the dates of the images were analyzed, in order to better understand annual variation characteristics of the data. The results pointed to an intense variation of the data throughout the historical series, reaching the maximum in 2008, both in the number of openings (2096) and in the area involved (21,680 ha). Throughout the historical series there was variation in relation to the sizes of the opening polygons detected by PRODES. It was observed that openings with larger areas (above 50 ha) represented more than 50% of total deforestation in the first years of the series (up to 2003), while smaller openings (below 25 ha) accounted for 75 to 80% of openings in the last years (2009 to 2015). Another interesting feature of the series analyzed is the increase in the percentage of cloud coverage present in the images used, reaching a maximum of 52% in 2010, indicating a need for a change in the choice of images for the State of Roraima.</abstract>
		<area>SRE</area>
		<type>Monitoramento e modelagem ambiental</type>
		<language>pt</language>
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