Abordagem semi-automática de imagens multitemporais para caracterização e monitoramento das florestas plantadas de seringueira.

Abordagem semi-automática de imagens multitemporais para caracterização e monitoramento das florestas plantadas de seringueira.

Abstract: The objective of this work is to present a multi-temporal analysis of images for the identification, characterization and monitoring of rubber tree crops. The use of high and medium spatial resolution images along with vegetation index analysis and the inclusion of images from the crop´s different phenological stages enabled its mapping and characterization for 2007 and 2015. The dynamic analysis of the culture for the period between 2007 and 2015 showed a growth rate of 170%, which corroborated the data from LUPA for 2007/2008 to 2013.

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Bibliographic Details
Main Authors: ARAUJO, L. S. de, LOEBMANN, D. G. dos S. W., VICENTE, L. E., BENSUASKI, P. P.
Other Authors: LUCIANA SPINELLI DE ARAUJO, CNPMA; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; LUIZ EDUARDO VICENTE, CNPMA; PAOLA PIERIN BENSUASKI, Faculdade de Tecnologia - Unicamp.
Format: Separatas biblioteca
Language:pt_BR
por
Published: 2018-01-09
Subjects:Temporal analysis., Sensoriamento remoto, Seringueira, Hevea, Hevea Brasiliensis., Remote sensing, Landsat, rubber.,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084713
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http://www.alice.cnptia.embrapa.br/alice/handle/doc/1084713

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