Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season

This research aims at studying spatial autocorrelation of Landsat/TM based on normalized difference vegetation index (NDVI) and green vegetation index (GVI) of soybean of the western region of the State of Paraná. The images were collected during the 2004/2005 crop season. The data were grouped into five vegetation index classes of equal amplitude, to create a temporal map of soybean within the crop cycle. Moran I and Local Indicators of Spatial Autocorrelation (LISA) indices were applied to study the spatial correlation at the global and local levels, respectively. According to these indices, it was possible to understand the municipality-based profiles of tillage as well as to identify different sowing periods, providing important information to producers who use soybean yield data in their planning.

Bibliographic Details

Main Authors:	Dalposso,Gustavo H., Uribe-Opazo,Miguel A., Mercante,Erivelto, Lamparelli,Rubens A. C.
Format:	Digital revista
Language:	English
Published:	Associação Brasileira de Engenharia Agrícola 2013
Online Access:	http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162013000300009
Tags:	Add Tag No Tags, Be the first to tag this record!