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		<issn>2179-4847</issn>
		<citationkey>MirandaGama:2025:EvFiFi</citationkey>
		<title>Evaluation of Filters and Filtering Windows in SAR Data for Detecting Fire Degradation in the Tapajos National Forest</title>
		<shorttitle>Slides</shorttitle>
		<year>2025</year>
		<secondarytype>PRE CN</secondarytype>
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		<author>Miranda, Bruno Guerreiro,</author>
		<author>Gama, Fabio Furlan,</author>
		<group>SER-SRE-DIPGR-INPE-MCTIC-GOV-BR</group>
		<group>DIOTG-CGCT-INPE-MCTI-GOV-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>bruno.miranda@inpe.br</electronicmailaddress>
		<electronicmailaddress>fabio.furlan@inpe.br</electronicmailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 25 (GEOINFO)</conferencename>
		<conferencelocation>São José dos Campos</conferencelocation>
		<date>19 a 21 mai. 2025</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<transferableflag>1</transferableflag>
		<abstract>Human-induced fires contribute significantly to CO2 emissions and forest loss in the brazilian Amazon. In this context, synthetic aperture radars emerge as a viable alternative for monitoring tropical regions under constant influence of adverse weather conditions. Thus, the present study aims to evaluate the performance of different filters and filtering windows for ALOS-2/PALSAR-2 data for subsequent detection of burned areas in a portion of the Tapajos Nati- ´ onal Forest - Para. Quantitative and qualitative analyses indicated that the Lee 9x9 filter was the most effective for pre-fire images, while the Gamma 7x7 filter performed better in post-fire images.</abstract>
		<area>SRE</area>
		<subject>Geoinformação</subject>
		<session>Geoinformação</session>
		<type>Geoinformação</type>
		<language>en</language>
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