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		<reportnumber>INPE-4809-RPE/589</reportnumber>
		<label>412</label>
		<citationkey>PonzoniHernPereLore:1989:AnTe</citationkey>
		<title>A fisionomia da cobertura vegetal do Parque Nacional do Pantanal Mato-Grossense: Uma análise temporal</title>
		<project>VEGPAN</project>
		<year>1989</year>
		<type>RPQ</type>
		<numberofpages>61</numberofpages>
		<numberoffiles>1</numberoffiles>
		<size>14701 KiB</size>
		<author>Ponzoni, Flávio Jorge,</author>
		<author>Hernandez Filho, Pedro,</author>
		<author>Pereira, Marisa Teresinha,</author>
		<author>Lorensi, Cirineu Jorge,</author>
		<group>INPE-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Brasileiro de Desenvolvimento Florestal (IBDF)</affiliation>
		<affiliation>Instituto Brasileiro de Desenvolvimento Florestal (IBDF)</affiliation>
		<institution>INPE</institution>
		<city>Sao Jose dos Campos</city>
		<transferableflag>1</transferableflag>
		<keywords>vegetação, Pantanal, mato grosso, TM/LANDSAT, parques nacionais, cobertura vegetal, resolução temporal, forests, national parks, vegetation cover.</keywords>
		<abstract>Imagens orbitais TM/LANDSAT e fotografias aéreas 35 nm foram utilizadas no mapeamento fisionômico da cobertura vegetal do Parque Nacional do Pantanal Mato-Grossense (PNPM). Foram avaliadas as limitações e potencialidades desses produtos com vistas a escolha do sistema de classificação da vegetação a ser adotado em ambientes semelhantes ao do PNPM, considerando dois períodos sazonais - seco e de cheias. A variação do nível d'água e sua influencia sobre as fisionomias identificadas foram quantificadas através da analise de informações provindas da interpretação visual e digital dos dados contidos nas imagens. ABSTRACT: TM/LANDSAT and 35 mm aerial photograrphs were utilized in the physiognomic mapping of Pantanal Mato-Grossence National Park (PNPM) vegetation cover. Two seazonal periods - dry and wet - were considered in the evaluation of the contraints and opportunities of these products in order to choose the vegetation classification system which could be applied in similar PNPM environments. Through both visual interpretation and digital processing the water level variation and influence in the vegetation physiognomies identified were quantified.</abstract>
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		<language>pt</language>
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		<copyholder>SID/SCD</copyholder>
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