@InProceedings{CorsiniSaaAguAraYan:2019:AnVeGr,
author = "Corsini, Christianne Riquetti and Saatchi, Sassan and Aguiar, Ana
Paula Dutra and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and
Yang, Yan",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Jet
Propulsion Laboratory} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {University of California}",
title = "Analysis of vegetation growth in regeneration in the Brazilian
Amazon based in a model of land cover trajectories",
booktitle = "Anais...",
year = "2019",
editor = "Gherardi, Douglas Francisco Marcolino and Sanches, Ieda DelArco
and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de",
pages = "3389--3392",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 19. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
keywords = "Trajectory, TerraClass, Palsar-Alos, biomass, Amazon.",
abstract = "The regrowth of vegetation in previously deforested areas in the
Brazilian Amazon plays an important role in the global carbon
cycle, functioning as a dynamic carbon sink. Here, we used
multi-temporal post-deforestation land cover trajectories and
RADAR-derived above ground biomass (AGB) maps to quantify the
patterns of biomass accumulation at different stages of vegetation
regeneration in the Brazilian Amazon for the years 2008 and 2010.
Our results showed that the combination of trajectories based on
TerraClass product with AGB maps was consistent for tracking AGB
changes across the Brazilian Amazon, showing the potential biomass
increase across the regeneration process. Although the dynamics of
the regeneration process can be interpreted in relation to Shrubby
pasture, Regeneration with pasture and Secondary vegetation
classes, the amount of accumulated biomass by them will depend on
the previous class and the regeneration time.",
conference-location = "Santos",
conference-year = "14-17 abril 2019",
isbn = "978-85-17-00097-3",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3U25CTH",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3U25CTH",
targetfile = "97377.pdf",
type = "Floresta e outros tipos de vegeta{\c{c}}{\~a}o",
urlaccessdate = "05 jun. 2024"
}