Discrimination of 3 dominant mangrove species from the Pacific coast of Mexico by spectroscopy on intact leaves

Discrimination of 3 dominant mangrove species from the Pacific coast of Mexico by spectroscopy on intact leaves

Spectral discrimination of mangrove leaves is the first step in classifying remotely sensed imagery of mangrove forests. The objective of this study was to analyze spectroscopic data on leaves from the upper and lower parts of mangrove canopies to discriminate species and physiognomic types. Leaf sa...

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Autores principales: Flores-de-Santiago, Francisco, Kovacs, John M, Flores-Verdugo, Francisco
Formato: info:eu-repo/semantics/article
Lenguaje:eng
Publicado: Iniversidad Autónoma de Baja California 2018
Acceso en línea:https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/2806
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language eng
description Spectral discrimination of mangrove leaves is the first step in classifying remotely sensed imagery of mangrove forests. The objective of this study was to analyze spectroscopic data on leaves from the upper and lower parts of mangrove canopies to discriminate species and physiognomic types. Leaf samples from the upper and lower parts of the canopies of 3 mangrove species (Avicennia germinans, Laguncularia racemosa, and Rhizophora mangle) in 2 physiognomic types (basin and fringe) were collected during 2 seasons (dry and rainy). Probability distribution and first-derivative plots were generated for every wavelength (450–1,000 nm) detected in all samples. With the plots, optimal wavelengths were selected and subsequently verified with a canonical discriminant analysis. Results indicated that all species in basin mangrove forests showed a unique distinction between the upper and lower leaves during the dry season. By contrast, species in fringe mangrove forests did not show this difference during both seasons. Optimal wavelengths for species discrimination were located between 540–560 nm and 700–720 nm, which correspond to the green and red-edge wavebands, respectively. Future studies using remote sensing data with the aforementioned wavebands can be conducted to discriminate physiognomic mangrove forest types and to increase accuracy in the classification of mangroves at the canopy level on the Pacific coast of Mexico.
format info:eu-repo/semantics/article
author Flores-de-Santiago, Francisco
Kovacs, John M
Flores-Verdugo, Francisco
spellingShingle Flores-de-Santiago, Francisco
Kovacs, John M
Flores-Verdugo, Francisco
Discrimination of 3 dominant mangrove species from the Pacific coast of Mexico by spectroscopy on intact leaves
author_facet Flores-de-Santiago, Francisco
Kovacs, John M
Flores-Verdugo, Francisco
author_sort Flores-de-Santiago, Francisco
title Discrimination of 3 dominant mangrove species from the Pacific coast of Mexico by spectroscopy on intact leaves
title_short Discrimination of 3 dominant mangrove species from the Pacific coast of Mexico by spectroscopy on intact leaves
title_full Discrimination of 3 dominant mangrove species from the Pacific coast of Mexico by spectroscopy on intact leaves
title_fullStr Discrimination of 3 dominant mangrove species from the Pacific coast of Mexico by spectroscopy on intact leaves
title_full_unstemmed Discrimination of 3 dominant mangrove species from the Pacific coast of Mexico by spectroscopy on intact leaves
title_sort discrimination of 3 dominant mangrove species from the pacific coast of mexico by spectroscopy on intact leaves
publisher Iniversidad Autónoma de Baja California
publishDate 2018
url https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/2806
_version_ 1792609344528842752
spelling repositorioinstitucional-20.500.12930-75402023-05-09T14:30:48Z Discrimination of 3 dominant mangrove species from the Pacific coast of Mexico by spectroscopy on intact leaves Discriminación de 3 especies dominantes de mangle de la costa mexicana del Pacífico mediante técnicas espectroscópicas de hoja intacta Flores-de-Santiago, Francisco Kovacs, John M Flores-Verdugo, Francisco Spectral discrimination of mangrove leaves is the first step in classifying remotely sensed imagery of mangrove forests. The objective of this study was to analyze spectroscopic data on leaves from the upper and lower parts of mangrove canopies to discriminate species and physiognomic types. Leaf samples from the upper and lower parts of the canopies of 3 mangrove species (Avicennia germinans, Laguncularia racemosa, and Rhizophora mangle) in 2 physiognomic types (basin and fringe) were collected during 2 seasons (dry and rainy). Probability distribution and first-derivative plots were generated for every wavelength (450–1,000 nm) detected in all samples. With the plots, optimal wavelengths were selected and subsequently verified with a canonical discriminant analysis. Results indicated that all species in basin mangrove forests showed a unique distinction between the upper and lower leaves during the dry season. By contrast, species in fringe mangrove forests did not show this difference during both seasons. Optimal wavelengths for species discrimination were located between 540–560 nm and 700–720 nm, which correspond to the green and red-edge wavebands, respectively. Future studies using remote sensing data with the aforementioned wavebands can be conducted to discriminate physiognomic mangrove forest types and to increase accuracy in the classification of mangroves at the canopy level on the Pacific coast of Mexico. La discriminación foliar de mangles por medio de técnicas espectroscópicas es el primer paso para clasificar imágenes de sensores remotos de bosques de mangle. El objetivo de este estudio fue analizar datos espectroscópicos de hojas de la parte superior y la parte inferior del dosel arbóreo para poder discriminar especies y condiciones fisiognómicas en un bosque de mangle. Muestras de hojas de la parte superior y la parte inferior de los doseles de 3 especies de mangle (Avicennia germinans, Laguncularia racemosa y Rhizophora mangle) en 2 condiciones fisiognómicas (cuenca y borde) fueron recolectadas durante 2 temporadas (estiaje y lluvia). Gráficas de distribución de probabilidad y de primera derivada fueron generadas para cada una de las longitudes de onda (450–1,000 nm) de todas las muestras. Con base en las gráficas, las longitudes de onda óptimas fueron seleccionadas y, posteriormente, comprobadas con un análisis discriminante canónico. Los resultados indicaron que todas las especies de mangle tipo cuenca mostraron una separación única entre las hojas de la parte superior y la parte inferior del dosel durante la temporada de estiaje. Por el contrario, los mangles tipo borde no presentaron esta diferencia durante ambas temporadas. Las longitudes de onda óptimas para la discriminación de especies fueron localizadas entre 540–560 nm y 700–720 nm, correspondientes a las bandas verde y borde del rojo, respectivamente. Estudios posteriores con datos de sensores remotos que contengan dichas longitudes de onda pueden ser empleados para discriminar condiciones fisiognómicas en bosques de mangle e incrementar la precisión en clasificaciones de mangles a nivel de dosel en la costa mexicana del Pacífico. 2018-09-28 2021-06-03T03:55:37Z 2021-06-03T03:55:37Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Peer-reviewed Article Artículo Arbitrado https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/2806 10.7773/cm.v44i3.2806 https://hdl.handle.net/20.500.12930/7540 eng https://www.cienciasmarinas.com.mx/index.php/cmarinas/article/view/2806/420420450 Copyright (c) 2018 Ciencias Marinas application/pdf Iniversidad Autónoma de Baja California Ciencias Marinas; Vol. 44 No. 3 (2018); 185–202 Ciencias Marinas; Vol. 44 Núm. 3 (2018); 185–202 2395-9053 0185-3880

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