%0 Conference Proceedings
%4 dpi.inpe.br/lise/2001/08.28.18.48
%2 dpi.inpe.br/lise/2001/08.28.18.48.17
%@isbn 85-17-00016-1
%F 9262
%T Comparação dos Índices de Vegetação (NDVI) obtidos através de imagens AVHRR-NOAA e SeaWIFS -SeaStar para os estados de São Paulo e Paraná
%D 2001
%A Arai, Egidio,
%A Rodriguez, Ana Cristina Machado,
%A Rudorff, Bernardo Friedrich Theodor,
%A Shimabukuro, Yosio Edemir,
%A Moreira, Mauricio Alves,
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@electronicmailaddress egidio@ltid.inpe.br
%@electronicmailaddress anacris@ltid.inpe.br
%@electronicmailaddress bernardo@ltid.inpe.br\]
%@electronicmailaddress yosio@ltid.inpe.br
%@electronicmailaddress mauricio@ltid.inpe.br
%E Krug, Thelma,
%E Fonseca, Leila Maria Garcia,
%B Simpósio Brasileiro de Sensoriamento Remoto, 10 (SBSR).
%C Foz do Iguaçu
%8 21-26 abr. 2001
%I INPE
%J São José dos Campos
%P 11-13
%S Anais
%1 Instituto Nacional de Pesquisas Espaciais
%K AGRONOMIA, São Paulo (Estado)Paraná (Estado), índice de vegetação da diferença normalizada, radiometro avançada de alta resolução, monitoramento ambiental, satélites NOAA, normalized difference vegetation index, advanced very high resolution radiometer, environmental monitoring, NDVI, AVHRR, agronomy.
%X The objective of this work is to evaluate the comparison of vegetation indices (NDVI)derived from AVHRR-NOAA and SeaWIFS-SeaStar images in São Paulo and Paraná States. The images from AVHRR sensor (bands 1 and 2)are processed using the GAPS software provided by GIMMS (Global Inventory Monitoring and Modeling Studies)group from NASA/GSFC, while data from SeaWIFS sensor (bands 6, 7 and 8)are processed using a software developed at INPE. The initial evaluation of SeaWIFS NDVI images derived from either band 7 or band 8 shows to be very comparable with the well known AVHRR NDVI images.
%9 Agronomia
%@language pt
%3 0011.13.277.pdf