@InProceedings{ChenSpig:1984:EvLaMS,
author = "Chen, Sherry Chou and Spiguel, Maria Cristina R. V.",
title = "Evaluation of Landsat MSS data for sugarcane yield estimation",
year = "1984",
pages = "14",
organization = "Simp{\'o}sio Brasileiro de Sensoriamento Remoto, 3. (SBSR).",
keywords = "AGRONOMIA, SENSORES E TECNICAS DE SENSORIAMENTO REMOTO,
CANA-DE-ACUCAR, ESTIMATIVA, PRODUTIVIDADE, IDENTIFICACAO DE
PRODUCAO, PROJETO CANASATE, INDICE DE VEGETACAO, SOJA, MSS
LANDSAT, PASTAGEM, AGRICULTURE, SENSORS AND REMOTE SENSING
TECHNIQUES, SUGAR CANE, ESTIMATING, PRODUCTIVITY, CROP
IDENTIFICATION, VEGETATIVE INDEX, SOYBEANS, GRASSLANDS.",
abstract = "Landsat data have been used to correlate with LAI, green biomass,
percent ground cover, plant population, chlorophyll concentration
and plant height for rangeland pasture, wheat, and soybeans. In
this study multitemporal spectral information of sugarcane
obtained during the crop year 1982-1983 were correlated with cane
production and the possibility of using LANDSAT data for yield
estimation was evaluated. Sun elevations of the eight LANDSAT data
dates were corrected to 44 degrees and the digital counts of the
24 sugarcane fields were acquired using an interactive image
analysis system for each MSS channel. Correlation analyses were
applied to cane yields and vegetation indices (i.e., D57, R75, TVI
and PVI)that were derived from single or multidate LANDSAT
spectral data. Significant correlation coefficients were found,
however, amplitudes of the correlation coefficients were not high
enough for a direct application on sugarcane yield estimation.",
conference-location = "Rio de Janeiro, BR",
conference-year = "28-30 nov. 1984",
label = "450",
organisation = "Instituto de Pesquisas Espaciais",
targetfile = "INPE 4733.pdf",
urlaccessdate = "20 maio 2024"
}