Maximum discrimination index: a tool for land cover identification

This work presents an adaptable index that is applied to a pair of covers to be discriminated. Its adaptability relies on the procedure to determine the numerical value of the wavelengths or bands involved: the maximization of an operator based on the geometric mean of squared differences. This inde...

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Detalles Bibliográficos
Autores principales: Lencina, Alberto, Weber, Christian
Formato: Articulo
Lenguaje:Inglés
Publicado: 2020
Materias:
Ciencias Agrarias
Discrimination
Ryegrass
Spectral signature
Vegetation index
Wheat
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/146060
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-146060
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Agrarias
Discrimination
Ryegrass
Spectral signature
Vegetation index
Wheat
spellingShingle Ciencias Agrarias
Discrimination
Ryegrass
Spectral signature
Vegetation index
Wheat
Lencina, Alberto
Weber, Christian
Maximum discrimination index: a tool for land cover identification
topic_facet Ciencias Agrarias
Discrimination
Ryegrass
Spectral signature
Vegetation index
Wheat
description This work presents an adaptable index that is applied to a pair of covers to be discriminated. Its adaptability relies on the procedure to determine the numerical value of the wavelengths or bands involved: the maximization of an operator based on the geometric mean of squared differences. This index is applied to the particular case of discrimination of wheat from ryegrass in different phenological stages. The maximum discrimination index outperforms other indices such as the normalized difference vegetation index, advanced normalized vegetation index and normalized difference greenness index. Its efficacy of discrimination is characterized and compared with the normalized difference greenness index (the second with better performance). It is observed that the proposed index has a more predictable behavior and reaches a discrimination accuracy as high as 95.5%. The maximum discrimination index could be adjusted to different covers and employed as a tool for discrimination. Spectral signatures coming from any platform: field, aerial or satellite, can be handled.
format Articulo
Articulo
author Lencina, Alberto
Weber, Christian
author_facet Lencina, Alberto
Weber, Christian
author_sort Lencina, Alberto
title Maximum discrimination index: a tool for land cover identification
title_short Maximum discrimination index: a tool for land cover identification
title_full Maximum discrimination index: a tool for land cover identification
title_fullStr Maximum discrimination index: a tool for land cover identification
title_full_unstemmed Maximum discrimination index: a tool for land cover identification
title_sort maximum discrimination index: a tool for land cover identification
publishDate 2020
url http://sedici.unlp.edu.ar/handle/10915/146060
work_keys_str_mv AT lencinaalberto maximumdiscriminationindexatoolforlandcoveridentification
AT weberchristian maximumdiscriminationindexatoolforlandcoveridentification
bdutipo_str Repositorios
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