Gypsum classification based on ASTER images in the Principal Cordillera of Mendoza

A combination of two methodologies is presented for detection and mapping of gypsum using ASTER L3A imagery. One of the methodologies uses the Quartz index defined for the ASTER TIR subsystem, which can be used for gypsum detection given its low response in Qi. The other consists in the combination...

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Detalles Bibliográficos
Autor principal:	Mescua, José Francisco
Publicado:	2010
Materias:	Auquilco Formation Processing Remote sensing Satellite ASTER classification field survey gypsum remote sensing satellite imagery Argentina Mendoza
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00044822_v66_n4_p619_Mescua http://hdl.handle.net/20.500.12110/paper_00044822_v66_n4_p619_Mescua
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_00044822_v66_n4_p619_Mescua
record_format	dspace
spelling	paper:paper_00044822_v66_n4_p619_Mescua2023-06-08T14:26:26Z Gypsum classification based on ASTER images in the Principal Cordillera of Mendoza Mescua, José Francisco Auquilco Formation Processing Remote sensing Satellite ASTER classification field survey gypsum remote sensing satellite imagery Argentina Mendoza A combination of two methodologies is presented for detection and mapping of gypsum using ASTER L3A imagery. One of the methodologies uses the Quartz index defined for the ASTER TIR subsystem, which can be used for gypsum detection given its low response in Qi. The other consists in the combination of two band ratios of the ASTER SWIR subsystem, (4/5)/(7/5), which allows the identification of gypsum highlighting its high response in 4/5 and low response in 7/5. Two areas in the Cordillera Principal in the province of Mendoza were selected as case studies, and a field survey was conducted in order to evaluate the results. Both techniques are proved successful, yet classify erroneously some pixels as gypsum. Errors by excess are different for each method, which allows for these two techniques to be combined using a "decision tree" classifier to solve the misclassifications. Fil:Mescua, J.F. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2010 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00044822_v66_n4_p619_Mescua http://hdl.handle.net/20.500.12110/paper_00044822_v66_n4_p619_Mescua
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Auquilco Formation Processing Remote sensing Satellite ASTER classification field survey gypsum remote sensing satellite imagery Argentina Mendoza
spellingShingle	Auquilco Formation Processing Remote sensing Satellite ASTER classification field survey gypsum remote sensing satellite imagery Argentina Mendoza Mescua, José Francisco Gypsum classification based on ASTER images in the Principal Cordillera of Mendoza
topic_facet	Auquilco Formation Processing Remote sensing Satellite ASTER classification field survey gypsum remote sensing satellite imagery Argentina Mendoza
description	A combination of two methodologies is presented for detection and mapping of gypsum using ASTER L3A imagery. One of the methodologies uses the Quartz index defined for the ASTER TIR subsystem, which can be used for gypsum detection given its low response in Qi. The other consists in the combination of two band ratios of the ASTER SWIR subsystem, (4/5)/(7/5), which allows the identification of gypsum highlighting its high response in 4/5 and low response in 7/5. Two areas in the Cordillera Principal in the province of Mendoza were selected as case studies, and a field survey was conducted in order to evaluate the results. Both techniques are proved successful, yet classify erroneously some pixels as gypsum. Errors by excess are different for each method, which allows for these two techniques to be combined using a "decision tree" classifier to solve the misclassifications.
author	Mescua, José Francisco
author_facet	Mescua, José Francisco
author_sort	Mescua, José Francisco
title	Gypsum classification based on ASTER images in the Principal Cordillera of Mendoza
title_short	Gypsum classification based on ASTER images in the Principal Cordillera of Mendoza
title_full	Gypsum classification based on ASTER images in the Principal Cordillera of Mendoza
title_fullStr	Gypsum classification based on ASTER images in the Principal Cordillera of Mendoza
title_full_unstemmed	Gypsum classification based on ASTER images in the Principal Cordillera of Mendoza
title_sort	gypsum classification based on aster images in the principal cordillera of mendoza
publishDate	2010
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00044822_v66_n4_p619_Mescua http://hdl.handle.net/20.500.12110/paper_00044822_v66_n4_p619_Mescua
work_keys_str_mv	AT mescuajosefrancisco gypsumclassificationbasedonasterimagesintheprincipalcordilleraofmendoza
_version_	1768543779887775744

Gypsum classification based on ASTER images in the Principal Cordillera of Mendoza

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