Title:	Abordagem semi-automática de imagens multitemporais para caracterização e monitoramento das florestas plantadas de seringueira.
Authors:	ARAUJO, L. S. de LOEBMANN, D. G. dos S. W. VICENTE, L. E. BENSUASKI, P. P.
Affiliation:	LUCIANA SPINELLI DE ARAUJO, CNPMA; DANIEL GOMES DOS SANTOS W LOEBMANN, CNPMA; LUIZ EDUARDO VICENTE, CNPMA; PAOLA PIERIN BENSUASKI, Faculdade de Tecnologia - Unicamp.
Date Issued:	2017
Citation:	In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 59417.
Pages:	p. 0725-0732.
Description:	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.
Thesagro:	Sensoriamento remoto Seringueira Hevea Brasiliensis Hevea
NAL Thesaurus:	Remote sensing Landsat rubber
Keywords:	Temporal analysis
Type of Material:	Artigo em anais e proceedings
Access:	openAccess
Appears in Collections:	Artigo em anais de congresso (CNPMA)