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		<citationkey>Coldibeli::EsCaPa</citationkey>
		<title>Estimativas Geoestatísticas para a Construção de Modelos Digitais do Terreno de Grandes Áreas: Estudo de Caso a partir do Adensamento de Amostragens Provenientes de Mapeamentos com VANT de Baixo Custo</title>
		<alternatetitle>Geostatistic estimates for the construction of digital terrain models of large areas: case study from the densification of samples by low-cost uav mapping</alternatetitle>
		<course>SER-SRE-SESPG-INPE-MCTIC-GOV-BR</course>
		<date>2020-12-15</date>
		<thesistype>Dissertação (Mestrado em Sensoriamento Remoto)</thesistype>
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		<author>Coldibeli, Matheus Costa,</author>
		<committee>Rennó, Camilo Daleles,</committee>
		<committee>Sant’Anna, Sidnei João Siqueira,</committee>
		<committee>Felgueiras, Carlos Alberto,</committee>
		<committee>Ortiz, Jussara de Oliveira,</committee>
		<committee>Oliveira, Cleber Gonzales de,</committee>
		<e-mailaddress>matheus_cold@hotmail.com</e-mailaddress>
		<university>Instituto Nacional de Pesquisas Espaciais (INPE)</university>
		<city>São José dos Campos</city>
		<secondarytype>TDI</secondarytype>
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		<keywords>MDT, VANT, krigagem ordinária, PEC-PCD, validação cruzada, DTM, UAV, ordinary kriging, PEC-PCD, cross validation.</keywords>
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