dor_id: 4133109

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Geofísica Internacional", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Scientific Electronic Library Online (SciELO); SCOPUS, Dialnet, Directory of Open Access Journals (DOAJ); Geobase

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650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: http://revistagi.geofisica.unam.mx/index.php/RGI

351.#.#.b: Geofísica Internacional

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/502/518

100.1.#.a: Lira, Jorge

524.#.#.a: Lira, Jorge (2014). Morphologic analysis of the temporal change of forest cover. Geofísica Internacional; Vol. 53 Núm. 2: Abril 1, 2014; 117-133. Recuperado de https://repositorio.unam.mx/contenidos/4133109

245.1.0.a: Morphologic analysis of the temporal change of forest cover

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Geofísica, UNAM

264.#.0.c: 2014

264.#.1.c: 2014-04-01

653.#.#.a: cobertura forestal; variables canónicas; morfología; crecimiento de regiones; forest cover; canonical variables; morphology; region growing

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico revistagi@igeofisica.unam.mx

884.#.#.k: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/502

001.#.#.#: 063.oai:revistagi.geofisica.unam.mx:article/502

041.#.7.h: spa

520.3.#.a: A morphologic analysis of forest cover in a time span of twelve years is presented in this work. Two multispectral LANDSAT TM-4 images of the years 1989 and 2001 were used. These images cover a forest area where significant changes have occurred in such years. These images were expanded in terms of canonical expansion variables that describe the spatial spectral response of the forest masses. The images were modeled as a vector field of as many dimensions as the number of bands employed in the analysis. A vector field was constructed using canonical-variable bands. The set of canonical variables for each year was used to quantify a vector change of the forest masses. This vector change quantifies the degree of alteration of the forest masses. A region-growth algorithm was used to segment the areas occupied by the forest. This algorithm uses as input the canonical variables. The result of such segmentation is a binary image named the bitmap. From this bitmap, a morphologic analysis of the area occupied by the forest was undertaken. A DEM generated from a radar interferometric pair of the RADARSAT 1 satellite, was used to perform a cross-reference with the bitmaps. This cross-reference leads to the derivation of the elevation of occurrence of changes in the forest masses.doi: https://doi.org/10.1016/S0016-7169(14)71495-3

773.1.#.t: Geofísica Internacional; Vol. 53 Núm. 2: Abril 1, 2014; 117-133

773.1.#.o: http://revistagi.geofisica.unam.mx/index.php/RGI

022.#.#.a: ISSN-L: 2954-436X; ISSN impreso: 0016-7169

310.#.#.a: Trimestral

300.#.#.a: Páginas: 117-133

264.#.1.b: Instituto de Geofísica, UNAM

doi: https://doi.org/10.1016/S0016-7169(14)71495-3

handle: 00f8be23ca407198

harvesting_date: 2023-06-20 16:00:00.0

856.#.0.q: application/pdf

file_creation_date: 2014-04-07 16:15:15.0

file_modification_date: 2022-07-07 18:32:43.0

file_creator: Jorge Lira

file_name: 93293fa62d8bfb09a06733daf6995871eaadf7642940b8e860cd278936eb4e69.pdf

file_pages_number: 17

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file_size: 5169304

245.1.0.b: Morphologic analysis of the temporal change of forest cover

last_modified: 2023-06-20 16:00:00

license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es

license_type: by-nc-sa

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Artículo

Morphologic analysis of the temporal change of forest cover

Lira, Jorge

Instituto de Geofísica, UNAM, publicado en Geofísica Internacional, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Geofísica, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Lira, Jorge (2014). Morphologic analysis of the temporal change of forest cover. Geofísica Internacional; Vol. 53 Núm. 2: Abril 1, 2014; 117-133. Recuperado de https://repositorio.unam.mx/contenidos/4133109

Descripción del recurso

Autor(es)
Lira, Jorge
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Morphologic analysis of the temporal change of forest cover
Fecha
2014-04-01
Resumen
A morphologic analysis of forest cover in a time span of twelve years is presented in this work. Two multispectral LANDSAT TM-4 images of the years 1989 and 2001 were used. These images cover a forest area where significant changes have occurred in such years. These images were expanded in terms of canonical expansion variables that describe the spatial spectral response of the forest masses. The images were modeled as a vector field of as many dimensions as the number of bands employed in the analysis. A vector field was constructed using canonical-variable bands. The set of canonical variables for each year was used to quantify a vector change of the forest masses. This vector change quantifies the degree of alteration of the forest masses. A region-growth algorithm was used to segment the areas occupied by the forest. This algorithm uses as input the canonical variables. The result of such segmentation is a binary image named the bitmap. From this bitmap, a morphologic analysis of the area occupied by the forest was undertaken. A DEM generated from a radar interferometric pair of the RADARSAT 1 satellite, was used to perform a cross-reference with the bitmaps. This cross-reference leads to the derivation of the elevation of occurrence of changes in the forest masses.doi: https://doi.org/10.1016/S0016-7169(14)71495-3
Tema
cobertura forestal; variables canónicas; morfología; crecimiento de regiones; forest cover; canonical variables; morphology; region growing
Idioma
spa
ISSN
ISSN-L: 2954-436X; ISSN impreso: 0016-7169

Enlaces