<?xml version="1.0" encoding="ISO-8859-1"?>
<metadatalist>
	<metadata ReferenceType="Conference Proceedings">
		<site>marte2.sid.inpe.br 802</site>
		<holdercode>{isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}</holdercode>
		<identifier>8JMKD3MGP6W34M/3PS4G93</identifier>
		<repository>sid.inpe.br/marte2/2017/10.23.19.31.22</repository>
		<lastupdate>2017:10.23.19.31.22 dpi.inpe.br/marte2/2013/05.17.15.03.06 banon</lastupdate>
		<metadatarepository>sid.inpe.br/marte2/2017/10.23.19.31.23</metadatarepository>
		<metadatalastupdate>2018:06.06.03.03.49 dpi.inpe.br/marte2/2013/05.17.15.03.06 administrator {D 2017}</metadatalastupdate>
		<isbn>978-85-17-00088-1</isbn>
		<label>60153</label>
		<citationkey>BourscheidtBreu:2017:InDaMO</citationkey>
		<title>Variação do fator de reflectância bidirecional da floresta de Missiones, Argentina: Integração de dados MODIS através do Google Earth Engine</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
		<numberoffiles>1</numberoffiles>
		<size>1027 KiB</size>
		<author>Bourscheidt, Vandoir,</author>
		<author>Breunig, Fabio Marcelo,</author>
		<electronicmailaddress>fabiobreunig@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>1161-1168</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The evaluation of large forest areas always is a challenge considering the traditional methods for forest assessment. By using remote sensing data, a new time and spatial coverage became possible. However, the big data availability represents a constraint to personal computer based approaches. Thus, using cloud based systems; the treatment of big data is now possible. Thus, our goal was to assess the forest dynamic considering the dependence of reflectance from the view and illumination geometry. For that, we analyzed the complete series of Moderate Resolution Imaging Spectroradiometer (MODIS) daily surface reflectance data (2000-2016) using the Google Earth Engine, a powerful cloud based platform to process and analyze geospatial data. The study area covered the Misiones (Argentina) and the Parque Estadual do Turvo (Brazil). To evaluate the red and near infrared reflectance as a function of view and illumination geometry, we calculated the view direction based on the relative azimuth angle and sliced the view zenith angle as: nadir (±5°); 5°-15°; 15°-25°; 25°-35°; 35°-45°; 45°-55°; and >55° (for backscattering and forward scattering directions). To evaluate the solar zenith effect, only nadir acquired data were averaged for the 16 year and sliced into four classes of solar zenith angle: < 30°; 30°-40°; 40°-50°; and > 50°. The results clearly showed that backscattering reflectance is higher than forward scattering reflectance. Red band did not present clear seasonality in our data, but the near infrared presented well-defined dependence on view and illumination direction.</abstract>
		<area>SRE</area>
		<type>Paisagens naturais</type>
		<language>pt</language>
		<targetfile>60153.pdf</targetfile>
		<usergroup>banon</usergroup>
		<visibility>shown</visibility>
		<mirrorrepository>urlib.net/www/2011/03.29.20.55</mirrorrepository>
		<nexthigherunit>8JMKD3MGP6W34M/3PMFNUS</nexthigherunit>
		<citingitemlist>sid.inpe.br/marte2/2017/09.25.14.55 2</citingitemlist>
		<hostcollection>dpi.inpe.br/marte2/2013/05.17.15.03.06</hostcollection>
		<username>banon</username>
		<lasthostcollection>dpi.inpe.br/marte2/2013/05.17.15.03.06</lasthostcollection>
		<url>http://marte2.sid.inpe.br/rep-/sid.inpe.br/marte2/2017/10.23.19.31.22</url>
	</metadata>
</metadatalist>