Land cover differentiation using digital image processing of Landsat-7 ETM+ samples

Yady Tatiana Solano Correa; Edgar Leonairo Pencue-Fierro; Apolinar Figueroa-Casas

doi:10.1201/b12753-37

Land cover differentiation using digital image processing of Landsat-7 ETM+ samples

Yady Tatiana Solano Correa
, Edgar Leonairo Pencue-Fierro
, Apolinar Figueroa-Casas

Universidad del Cauca

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia

Resumen

The study of land cover that form a region and evaluation of its dynamics, is an important issue to be prerequisite for the sustainable management of natural resources, environmental protection, and basic data monitoring and modeling (Lira 2002), specifically in the case of southwestern Colombia have prominence because it is a high mountain area with a large variability of vegetation cover and land use. Knowing the amount and distribution in spatial and temporal control is important for agriculture, deforestation, environmental degradation and climate change.

Idioma original	Inglés
Título de la publicación alojada	Computational Modelling of Objects Represented in Images III: Fundamentals, Methods and Applications
DOI	https://doi.org/10.1201/b12753-37
Estado	Publicada - sept 2012
Publicado de forma externa	Sí

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 13: Acción por el clima
ODS 15: Vida de ecosistemas terrestres

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10.1201/b12753-37

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title = "Land cover differentiation using digital image processing of Landsat-7 ETM+ samples",

abstract = "The study of land cover that form a region and evaluation of its dynamics, is an important issue to be prerequisite for the sustainable management of natural resources, environmental protection, and basic data monitoring and modeling (Lira 2002), specifically in the case of southwestern Colombia have prominence because it is a high mountain area with a large variability of vegetation cover and land use. Knowing the amount and distribution in spatial and temporal control is important for agriculture, deforestation, environmental degradation and climate change.",

author = "\{Solano Correa\}, \{Yady Tatiana\} and Pencue-Fierro, \{Edgar Leonairo\} and Apolinar Figueroa-Casas",

year = "2012",

month = sep,

doi = "10.1201/b12753-37",

language = "English",

booktitle = "Computational Modelling of Objects Represented in Images III: Fundamentals, Methods and Applications",

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Land cover differentiation using digital image processing of Landsat-7 ETM+ samples. / Solano Correa, Yady Tatiana; Pencue-Fierro, Edgar Leonairo; Figueroa-Casas, Apolinar.
Computational Modelling of Objects Represented in Images III: Fundamentals, Methods and Applications. 2012.

Producción: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia

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AU - Figueroa-Casas, Apolinar

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AB - The study of land cover that form a region and evaluation of its dynamics, is an important issue to be prerequisite for the sustainable management of natural resources, environmental protection, and basic data monitoring and modeling (Lira 2002), specifically in the case of southwestern Colombia have prominence because it is a high mountain area with a large variability of vegetation cover and land use. Knowing the amount and distribution in spatial and temporal control is important for agriculture, deforestation, environmental degradation and climate change.

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DO - 10.1201/b12753-37

M3 - Conference contribution

BT - Computational Modelling of Objects Represented in Images III: Fundamentals, Methods and Applications

ER -

Land cover differentiation using digital image processing of Landsat-7 ETM+ samples

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ODS de las Naciones Unidas

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