@InProceedings{AlmeidaGalvAragDelg:2017:AvInIn,
author = "Almeida, Catherine Torres de and Galv{\~a}o, L{\^e}nio Soares
and Arag{\~a}o, Luiz Eduardo Oliveira e Cruz de and Delgado,
Rafael Coll",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "Avalia{\c{c}}{\~a}o da incerteza inserida pela cobertura da
terra na estimativa da produtividade prim{\'a}ria bruta do
produto MOD17A2",
booktitle = "Anais...",
year = "2017",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "2051--2058",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 18. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The objective of this study is to assess how different land cover
classes of the Amazon and Cerrado contribute to the uncertainty in
the estimation of gross primary productivity (GPP) based on the
MOD17A2 model. For this purpose, the accuracy of the land cover
product MCD12Q1 type UMD was evaluated and a sensitivity analysis
was performed to show how GPP estimates from the MOD17A2 model
respond to variations in land cover. The MCD12Q1 land cover
classification had low accuracy over heterogeneous areas, with
confusion among anthropogenic areas and savanna. The overall
accuracy of the MCD12Q1 was 69% with this performance mostly
related to the class of evergreen broadleaf forest. The
sensitivity analysis showed that land cover variations in MOD17A2
model introduced uncertainty in the estimation of GPP in
heterogeneous areas. However, it is possible that other model
input variables cause greater error in the GPP estimation, which
requires further studies.",
conference-location = "Santos",
conference-year = "28-31 maio 2017",
isbn = "978-85-17-00088-1",
label = "59791",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3PSLPS8",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3PSLPS8",
targetfile = "59791.pdf",
type = "Monitoramento e modelagem ambiental",
urlaccessdate = "27 abr. 2024"
}