Estimation of CDOM and Chlorophyll-a in high Andean Small Lakes using Landsat satellite data
(2023) 9th IWA-ASPIRE Conference & Exhibition. One Water for Smart Cities- Abstract
- Climate change and human activities threaten the availability and quality of fresh water resources globally, especially in less developed countries, where poverty and natural disaster risks are present. Despite important research efforts, gaps still exist regarding the understanding of the spatial-temporal variations of water quality and the movement of organic matter within tropical mountain lakes in the Bolivian central Andes. Satellite data and remote sensing techniques have been used for the detection of key water quality constituents, and to determine qualitative and quantitative parameters in waterbodies. However, few studies addressed the understanding of spectral properties of small lakes and even fewer were related to Andean lakes... (More)
- Climate change and human activities threaten the availability and quality of fresh water resources globally, especially in less developed countries, where poverty and natural disaster risks are present. Despite important research efforts, gaps still exist regarding the understanding of the spatial-temporal variations of water quality and the movement of organic matter within tropical mountain lakes in the Bolivian central Andes. Satellite data and remote sensing techniques have been used for the detection of key water quality constituents, and to determine qualitative and quantitative parameters in waterbodies. However, few studies addressed the understanding of spectral properties of small lakes and even fewer were related to Andean lakes or reservoirs. The aim of this study was to estimate coloured dissolved organic matter (CDOM) and chlorophyll-a (Chl-a) concentrations (widely used water quality indicators), using Landsat 5 satellite data, in mountain lakes (4049 to 4301 m a.s.l.) in the Bolivian central Andes. Google Earth Engine Landsat 5, Collection 1, Tier 1, surface reflectance, atmospherically corrected images were integrated with field data and water samples collected between September 2010 and September 2011. Results correlations between NIR/Red and Chl-a concentrations; on the other hand, Green/NIR correlations with CDOM concentrations. These preliminary results show the potential of this approach when comparing and integrating water quality indicators such CDOM and Chl-a available in historical data with free access remote sensing data to better understand high altitude mountain lakes and reservoirs in the central Andes. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/e654090c-e0e3-4709-945b-8e6ef1fa7b43
- author
- Prado Velasco, Pablo Edmundo
LU
; Rejas, Danny ; Jönsson, Karin LU ; Campero, Melina ; Fernández, Carla Eloisa LU ; Oporto, Carla Gabriela ; Lazzaro, Xavier ; Martinez, Virgilio LU
; Marañon, Martin and Persson, Kenneth M LU
- organization
- publishing date
- 2023-10-26
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- Andean lakes, water quality, remote sensing
- conference name
- 9th IWA-ASPIRE Conference & Exhibition. One Water for Smart Cities
- conference location
- Kaohsiung, Taiwan
- conference dates
- 2023-10-22 - 2023-10-26
- project
- Ecosystem services related to high-altitude streams and lakes in Central Andes of Bolivia
- language
- English
- LU publication?
- yes
- id
- e654090c-e0e3-4709-945b-8e6ef1fa7b43
- alternative location
- https://www.researchgate.net/publication/390842192_Estimation_of_CDOM_and_Chlorophyll-a_in_high_Andean_Small_Lakes_using_Landsat_satellite_data
- date added to LUP
- 2025-09-18 11:33:44
- date last changed
- 2025-09-26 03:39:20
@misc{e654090c-e0e3-4709-945b-8e6ef1fa7b43, abstract = {{Climate change and human activities threaten the availability and quality of fresh water resources globally, especially in less developed countries, where poverty and natural disaster risks are present. Despite important research efforts, gaps still exist regarding the understanding of the spatial-temporal variations of water quality and the movement of organic matter within tropical mountain lakes in the Bolivian central Andes. Satellite data and remote sensing techniques have been used for the detection of key water quality constituents, and to determine qualitative and quantitative parameters in waterbodies. However, few studies addressed the understanding of spectral properties of small lakes and even fewer were related to Andean lakes or reservoirs. The aim of this study was to estimate coloured dissolved organic matter (CDOM) and chlorophyll-a (Chl-a) concentrations (widely used water quality indicators), using Landsat 5 satellite data, in mountain lakes (4049 to 4301 m a.s.l.) in the Bolivian central Andes. Google Earth Engine Landsat 5, Collection 1, Tier 1, surface reflectance, atmospherically corrected images were integrated with field data and water samples collected between September 2010 and September 2011. Results correlations between NIR/Red and Chl-a concentrations; on the other hand, Green/NIR correlations with CDOM concentrations. These preliminary results show the potential of this approach when comparing and integrating water quality indicators such CDOM and Chl-a available in historical data with free access remote sensing data to better understand high altitude mountain lakes and reservoirs in the central Andes.}}, author = {{Prado Velasco, Pablo Edmundo and Rejas, Danny and Jönsson, Karin and Campero, Melina and Fernández, Carla Eloisa and Oporto, Carla Gabriela and Lazzaro, Xavier and Martinez, Virgilio and Marañon, Martin and Persson, Kenneth M}}, keywords = {{Andean lakes; water quality; remote sensing}}, language = {{eng}}, month = {{10}}, title = {{Estimation of CDOM and Chlorophyll-a in high Andean Small Lakes using Landsat satellite data}}, url = {{https://www.researchgate.net/publication/390842192_Estimation_of_CDOM_and_Chlorophyll-a_in_high_Andean_Small_Lakes_using_Landsat_satellite_data}}, year = {{2023}}, }