Articles
USE OF REMOTE SENSING (RS) IN PISTACHIO YIELD ESTIMATION
Article number
726_76
Pages
464 – 470
Language
English
Abstract
In this study, TERRA-ASTER images were used.
At the first, pixel(s), with sufficient density were identified by means of colour composition, multi-spectral classification, PC, NDVI and other image processing methods.
Study area was Kabootarkhan, a town near Rafsanjan in Kerman Province.
Good crop performance Yield was expressed with field measurement of an index, named Index of Leaf Area (ILA) and as Crop Variable of selected pixels. Yield and ILA index were considered as the dependent variables for multivariate analysis with spectral reflectance and soil properties as independent variables.
A data set with sufficient variation in the dependent and independent variables was compiled.
It was expected that the variation could be explained by the spectral and soil variables.
Furthermore investigated, how well ILA index variable is related to crop productivity.
Can a Yield index be defined from ILA index? The results showed that the variability in the pistachio yield in the study area, accepted to be for 94.3 percent (adjusted R2 = 94.3) dependent on three main independent variable attributes: Crop, Soil, and Other parameters related to crop yield and production.
At the first, pixel(s), with sufficient density were identified by means of colour composition, multi-spectral classification, PC, NDVI and other image processing methods.
Study area was Kabootarkhan, a town near Rafsanjan in Kerman Province.
Good crop performance Yield was expressed with field measurement of an index, named Index of Leaf Area (ILA) and as Crop Variable of selected pixels. Yield and ILA index were considered as the dependent variables for multivariate analysis with spectral reflectance and soil properties as independent variables.
A data set with sufficient variation in the dependent and independent variables was compiled.
It was expected that the variation could be explained by the spectral and soil variables.
Furthermore investigated, how well ILA index variable is related to crop productivity.
Can a Yield index be defined from ILA index? The results showed that the variability in the pistachio yield in the study area, accepted to be for 94.3 percent (adjusted R2 = 94.3) dependent on three main independent variable attributes: Crop, Soil, and Other parameters related to crop yield and production.
Authors
M. Moazenpour, A. Farshad, A.A. Abkar
Keywords
agriculture, pistachio trees, TERRA-ASTER, and GIS
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