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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	Computational Modelling of Objects Represented in Images III: Fundamentals, Methods and Applications
DOIs	https://doi.org/10.1201/b12753-37
State	Published - Sep 2012
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action
SDG 15 Life on Land

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10.1201/b12753-37

Cite this

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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

Abstract

UN SDGs

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