@InProceedings{GonçalvesZuMaAmSoRo:2013:AnRePe,
author = "Gon{\c{c}}alves, Renata Ribeiro do Valle and Zullo Junior,
Jurandir and Marquezini, Oct{\'a}via and Amaral, Bruno Ferraz do
and Sousa, Elaine Parros Machado de and Romani, Luciana Alvim
Santos",
title = "An{\'a}lise da rela{\c{c}}{\~a}o entre os perfis de NDVI
obtidos dos sensores AVHRR/NOAA e MODIS nas {\'a}reas produtoras
de cana-de-a{\c{c}}{\'u}car em S{\~a}o Paulo",
booktitle = "Anais...",
year = "2013",
editor = "Epiphanio, Jos{\'e} Carlos Neves and Galv{\~a}o, L{\^e}nio
Soares",
pages = "640--647",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 16. (SBSR)",
publisher = "Instituto Nacional de Pesquisas Espaciais (INPE)",
address = "S{\~a}o Jos{\'e} dos Campos",
abstract = "The production of cane sugar in Brazil, in general, has been
growing in recent years and has increasingly strategic role in the
economy. Thus, it is important to propose innovative and
technologically feasible solutions to help the generation of more
efficient, objectives, precise, early and adequate models to
monitoring and forecasting of the national crop. This study has
the main objective of compare NDVI data from AVHRR/NOAA and
MODIS/TERRA in productive sugarcane areas in S{\~a}o Paulo, from
April 2001 to March 2010. Initially, were made the selection of
sugarcane planting points in S{\~a}o Paulo and the extraction of
NDVI profiles from AVHRR/NOAA and MODIS/TERRA. After that,
clustering analysis using K-Medoids and DTW were made in 5
clusters with NDVI profile and, finally, the statistical analysis
(Pearson correlation) done with clusters of the planted area,
harvested area and crop yield. The clusters identified pixels
related to the sugarcane planting areas and spectral mixture. The
MODIS/TERRA showed values of R greater than the AVHRR/NOAA,
because the sensor has a spatial resolution of 250m, with more
details of sugarcane areas. However, the AVHRR/NOAA also obtained
satisfactory results. This shows that it is possible to use data
from low spatial resolution sensors to monitor and follow harvests
of crops planted over large areas. The advantage of these sensor
systems is their high temporal resolution, low cost and global
coverage.",
conference-location = "Foz do Igua{\c{c}}u",
conference-year = "13-18 abr. 2013",
isbn = "{978-85-17-00066-9 (Internet)} and {978-85-17-00065-2 (DVD)}",
label = "1248",
language = "pt",
organisation = "Instituto Nacional de Pesquisas Espaciais (INPE)",
ibi = "3ERPFQRTRW34M/3E7GK4J",
url = "http://urlib.net/ibi/3ERPFQRTRW34M/3E7GK4J",
targetfile = "p1248.pdf",
type = "Agricultura",
urlaccessdate = "15 jun. 2024"
}