@InProceedings{FoschieraMellAtzbForm:2015:SuYiEs,
author = "Foschiera, William and Mello, Marcio Pupin and Atzberger, Clement
and Formaggio, Ant{\^o}nio Roberto",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {} and {}
and {Instituto Nacional de Pesquisas Espaciais (INPE)}",
title = "Sugarcane yield estimation in S{\~a}o Paulo State - Brazil",
booktitle = "Anais...",
year = "2015",
editor = "Gherardi, Douglas Francisco Marcolino and Arag{\~a}o, Luiz
Eduardo Oliveira e Cruz de",
pages = "4329--4336",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 17. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "This paper presents a method for crop yield forecast based on
remote sensing and official data. The method uses a statistical
approach to extract different pixels of smoothed NDVI data derived
from MODIS sensor to be used as proxies for sugarcane yield
estimation at a municipal scale. From 368 municipalities with
yield''s historical data from 2003 to 2012, three groups were
created based on acreage percentile and then 30 municipalities was
randomly selected, 10 for each group. Two municipalities with
extreme acreage values (minimum and maximum) were discarded from
each group and two different approaches were tested to normalize
yield data and NDVI: Zscore and Rscore. In addition, two methods
were used as selection criteria: RMSE and Spearman''s correlation.
Results showed that municipalities with large sugarcane acreage
tended to present better agreement between observed and estimated
yield, which reinforce the potential of this method to be
operationally used for sugarcane yield forecast over large areas.
Moreover, the proposed method may estimate yield early in crop
season, whereas official statistics are usually published late
after harvest.",
conference-location = "Jo{\~a}o Pessoa",
conference-year = "25-29 abr. 2015",
isbn = "978-85-17-0076-8",
label = "847",
language = "en",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "8JMKD3MGP6W34M/3JM4CLL",
url = "http://urlib.net/ibi/8JMKD3MGP6W34M/3JM4CLL",
targetfile = "p0847.pdf",
type = "An{\'a}lise de s{\'e}ries de tempo de imagens de sat{\'e}lite",
urlaccessdate = "15 jun. 2024"
}