Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia

Omar Cabrera; Bayron Champutiz; Andres Calderon; Andres Pantoja

doi:10.1109/STSIVA.2016.7743306

Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia

Omar Cabrera
, Bayron Champutiz
, Andres Calderon
, Andres Pantoja

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

5 Citas (Scopus)

Resumen

The identification of solar potentials in remote areas represents an opportunity to provide renewable energy solutions to population isolated from the main electric grid. For this, a methodology to estimate the solar irradiation is proposed, taking into account free satellite images from Landsat 7 and MODIS projects. The method includes the image processing and regression models to obtain high-resolution solar irradiance maps. To prove the application of the methodology, the process is performed over a zone in Southwest Colombia and the resulting maps are presented in a website with georeferencing tools.

Idioma original	Inglés
Título de la publicación alojada	2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016
Editores	Miguel Altuve
Editorial	Institute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)	9781509037971
DOI	https://doi.org/10.1109/STSIVA.2016.7743306
Estado	Publicada - 14 nov. 2016
Publicado de forma externa	Sí
Evento	21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 - Bucaramanga, Colombia Duración: 30 ago. 2016 → 02 sep. 2016

Serie de la publicación

Nombre	2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016

Conferencia

Conferencia	21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016
País/Territorio	Colombia
Ciudad	Bucaramanga
Período	30/08/16 → 02/09/16

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

ODS 7: Energía asequible y no contaminante

Acceder al documento

10.1109/STSIVA.2016.7743306

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Cabrera, O., Champutiz, B., Calderon, A., & Pantoja, A. (2016). Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia. En M. Altuve (Ed.), 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 Artículo 7743306 (2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/STSIVA.2016.7743306

Cabrera, Omar ; Champutiz, Bayron ; Calderon, Andres et al. / Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia. 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016. editor / Miguel Altuve. Institute of Electrical and Electronics Engineers Inc., 2016. (2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016).

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title = "Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia",

abstract = "The identification of solar potentials in remote areas represents an opportunity to provide renewable energy solutions to population isolated from the main electric grid. For this, a methodology to estimate the solar irradiation is proposed, taking into account free satellite images from Landsat 7 and MODIS projects. The method includes the image processing and regression models to obtain high-resolution solar irradiance maps. To prove the application of the methodology, the process is performed over a zone in Southwest Colombia and the resulting maps are presented in a website with georeferencing tools.",

author = "Omar Cabrera and Bayron Champutiz and Andres Calderon and Andres Pantoja",

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year = "2016",

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doi = "10.1109/STSIVA.2016.7743306",

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Cabrera, O, Champutiz, B, Calderon, A & Pantoja, A 2016, Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia. En M Altuve (ed.), 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016., 7743306, 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016, Institute of Electrical and Electronics Engineers Inc., 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016, Bucaramanga, Colombia, 30/08/16. https://doi.org/10.1109/STSIVA.2016.7743306

Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia. / Cabrera, Omar; Champutiz, Bayron; Calderon, Andres et al.
2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016. ed. / Miguel Altuve. Institute of Electrical and Electronics Engineers Inc., 2016. 7743306 (2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016).

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

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AU - Cabrera, Omar

AU - Champutiz, Bayron

AU - Calderon, Andres

AU - Pantoja, Andres

PY - 2016/11/14

Y1 - 2016/11/14

N2 - The identification of solar potentials in remote areas represents an opportunity to provide renewable energy solutions to population isolated from the main electric grid. For this, a methodology to estimate the solar irradiation is proposed, taking into account free satellite images from Landsat 7 and MODIS projects. The method includes the image processing and regression models to obtain high-resolution solar irradiance maps. To prove the application of the methodology, the process is performed over a zone in Southwest Colombia and the resulting maps are presented in a website with georeferencing tools.

AB - The identification of solar potentials in remote areas represents an opportunity to provide renewable energy solutions to population isolated from the main electric grid. For this, a methodology to estimate the solar irradiation is proposed, taking into account free satellite images from Landsat 7 and MODIS projects. The method includes the image processing and regression models to obtain high-resolution solar irradiance maps. To prove the application of the methodology, the process is performed over a zone in Southwest Colombia and the resulting maps are presented in a website with georeferencing tools.

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M3 - Conference contribution

AN - SCOPUS:85002837590

T3 - 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016

BT - 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016

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Cabrera O, Champutiz B, Calderon A, Pantoja A. Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia. En Altuve M, editor, 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7743306. (2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016). doi: 10.1109/STSIVA.2016.7743306

Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia

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ODS de las Naciones Unidas

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