01401nam a2200253 a 450000100080000000500110000800800410001910000210006024501580008126001240023930000180036352005580038165000120093965000190095165000110097065000100098165000230099165000250101465000160103965300220105570000300107770000190110770000210112620847132018-03-12       2017    bl uuuu     u00u1 u    #d1 aARAUJO, L. S. de  aAbordagem semi-automática de imagens multitemporais para caracterização e monitoramento das florestas plantadas de seringueira.h[electronic resource]  aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... Santos: Inpe, 2017. Trabalho 59417.c2017  ap. 0725-0732.  aAbstract: 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.  aLandsat  aRemote sensing  arubber  aHevea  aHevea Brasiliensis  aSensoriamento remoto  aSeringueira  aTemporal analysis1 aLOEBMANN, D. G. dos S. W.1 aVICENTE, L. E.1 aBENSUASKI, P. P.