@InProceedings{BispoRZMCFBSARBPGRLBWSOB:2020:EsAbGr,
author = "Bispo, Polyanna da Concei{\c{c}}{\~a}o and Rodriguez-Veiga,
Pedro and Zimbres, Barbara and Miranda, Sabrina de Couto and
Cezare, Cassio Henrique Giusti and Fleming, Sam and Baldacchino,
Francesca and Shimbo, Julia Zanin and Alencar, Ane Auxiliadora
Costa and Roitman, Iris and Bustamante, Mercedes and
Pacheco-Pascagaza, Ana Maria and Gou, Yaqing and Roberts, John and
Louis, Valentin and Barret, Kirsten and Woodhouse, Iain and Sousa
Neto, Er{\'a}clito Rodrigues de and Ometto, Jean Pierre Henry
Balbaud and Balzter, Heiko",
affiliation = "{University of Manchester} and {University of Leicester} and
{Instituto de Pesquisa Ambiental da Amaz{\^o}nia (IPAM)} and
{Universidade Estadual de Goi{\'a}s (UEG)} and {Universidade
Federal de Goi{\'a}s (UFG)} and {Carbomap Ltd.} and {Carbomap
Ltd.} and {Instituto de Pesquisa Ambiental da Amaz{\^o}nia
(IPAM)} and {Instituto de Pesquisa Ambiental da Amaz{\^o}nia
(IPAM)} and {Universidade de Bras{\'{\i}}lia (UnB)} and
{Universidade de Bras{\'{\i}}lia (UnB)} and {University of
Leicester} and {University of Leicester} and {University of
Leicester} and {University of Leicester} and {University of
Leicester} and {Carbomap Ltd} and {Instituto Nacional de Pesquisas
Espaciais (INPE)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)} and {University of Leicester}",
title = "Estimating the Above Ground Biomass of Brazilian Savanna using
multi-sensor approach",
year = "2020",
organization = "EGU General Assembly",
abstract = "The Brazilian Savanna, known as Cerrado (Cerrado sensu lato
(s.l.)), is the second largest biome in South America. It
comprises different physiognomies due to variations of soil,
topography and human impacts. The gradients of tree density, tree
height, above ground biomass (AGB) and wood species cover vary
according to the Cerrado formation, ranging from different
grassland formations (Campo limpo, campo sujo), savanna
intermediary formations (Campo cerrado and Cerrado sensu stricto -
s.s) and forest formations (Cerrad{\~a}o, Mata ciliar, Mata de
galeria and Mata Seca). Although the carbon stock in Cerrado is
lower than in the Brazilian Amazon, the conversion of this biome
to other types of land use is occurring much faster. In the last
ten years, the degradation of Cerrado forest was the second
largest source of carbon emissions in Brazil. Therefore, effective
methods for assessing and monitoring aboveground woody biomass and
carbon stocks are needed. A multi-sensor Earth observation
approach and machine learning techniques have shown potential for
the large-scale characterization of Cerrado forest structure.The
aim of this study is to present a method to estimate the AGB of an
area of the Brazilian Cerrado using ALOS-PALSAR (L-band SAR),
Landsat, LIDAR (LIght Detection And Ranging) and field datasets.
Field data consisted of 15 plots of 1 ha area located in Rio
Vermelho watershed in Goi{\'a}s-State (Brazil). We used a 2-step
AGB estimation (i) from the field AGB using LIDAR metrics and (ii)
from LIDAR-AGB to satellite Earth Observation scales following a
Random Forest regression algorithm. The methodology to estimate
ABG of Cerrado Stricto Sensu vegetation is part of the Forests
2020 project which is the largest investment by the UK Space
Agency, as part of the International Partnerships Programme (IPP),
to support in the improvement of the forest monitoring in six
partner countries through advanced uses of satellite data.",
conference-location = "Online",
conference-year = "04-08 may",
targetfile = "bispo_estimating.pdf",
urlaccessdate = "28 abr. 2024"
}