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

Engenharia Agrícola

Gustavo H. Dalposso²  Miguel A. Uribe-opazo¹  Erivelto Mercante¹  Rubens A. C. Lamparelli¹ 

[1] ,UTFPRToledo PR

关键词: spatial statistics of areas;    spatial correlation;    vegetation index;    estatística espacial de áreas;    correlação espacial;    índice de vegetação;   

DOI  :  10.1590/S0100-69162013000300009

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
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