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

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

5 Scopus citations

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.

Original language	English
Title of host publication	2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016
Editors	Miguel Altuve
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509037971
DOIs	https://doi.org/10.1109/STSIVA.2016.7743306
State	Published - 14 Nov 2016
Externally published	Yes
Event	21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 - Bucaramanga, Colombia Duration: 30 Aug 2016 → 02 Sep 2016

Publication series

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

Conference

Conference	21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016
Country/Territory	Colombia
City	Bucaramanga
Period	30/08/16 → 02/09/16

UN SDGs

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

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/STSIVA.2016.7743306

Cite this

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. In M. Altuve (Ed.), 2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 Article 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).

@inproceedings{4b28493a47f844a681885e6bad27c158,

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",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016 ; Conference date: 30-08-2016 Through 02-09-2016",

year = "2016",

month = nov,

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doi = "10.1109/STSIVA.2016.7743306",

language = "English",

series = "2016 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016",

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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. in 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).

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

TY - GEN

T1 - Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia

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.

UR - https://www.scopus.com/pages/publications/85002837590

U2 - 10.1109/STSIVA.2016.7743306

DO - 10.1109/STSIVA.2016.7743306

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

A2 - Altuve, Miguel

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 21st Symposium on Signal Processing, Images and Artificial Vision, STSIVA 2016

Y2 - 30 August 2016 through 2 September 2016

ER -

Cabrera O, Champutiz B, Calderon A, Pantoja A. Landsat and MODIS satellite image processing for solar irradiance estimation in the department of Narino-Colombia. In 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

Abstract

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UN SDGs

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