A 30 m-resolution land use-land cover product for the Colombian Andes and Amazon using cloud-computing

Andrés González-González; Nicola Clerici; Benjamin Quesada

doi:10.1016/j.jag.2022.102688

A 30 m-resolution land use-land cover product for the Colombian Andes and Amazon using cloud-computing

Andrés González-González, Nicola Clerici, Benjamin Quesada

Research output: Contribution to journal › Research Article › peer-review

18 Scopus citations

Abstract

Land use-land cover (LULC) data are critical inputs for policy and scientific research in hydrology, climatology, territory planning and conservation. Colombia, a megadiverse country and deforestation hotspot on Earth, critically needs recent and high-resolution information on land use and land cover. Using Landsat OLI 8 data, we here present a new LULC product for the Colombian Amazon and Andes at 30 m × 30 m resolution for year 2018, using classification and validation procedures based on the Google Earth Engine cloud-based platform. The novel products show high overall accuracy (>90%), are achieved with high automatization and improve current coarser LULC datasets for Colombia. All the processing procedures used are open access and distributable to the scientific community.

Translated title of the contribution	Un producto de uso y cobertura del suelo de 30 m de resolución para los Andes colombianos y la Amazonia utilizando computación en la nube
Original language	English (US)
Article number	102688
Journal	International Journal of Applied Earth Observation and Geoinformation
Volume	107
DOIs	https://doi.org/10.1016/j.jag.2022.102688
State	Published - Mar 1 2022

All Science Journal Classification (ASJC) codes

Global and Planetary Change
Earth-Surface Processes
Computers in Earth Sciences
Management, Monitoring, Policy and Law

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

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10.1016/j.jag.2022.102688

Cite this

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title = "A 30 m-resolution land use-land cover product for the Colombian Andes and Amazon using cloud-computing",

abstract = "Land use-land cover (LULC) data are critical inputs for policy and scientific research in hydrology, climatology, territory planning and conservation. Colombia, a megadiverse country and deforestation hotspot on Earth, critically needs recent and high-resolution information on land use and land cover. Using Landsat OLI 8 data, we here present a new LULC product for the Colombian Amazon and Andes at 30 m × 30 m resolution for year 2018, using classification and validation procedures based on the Google Earth Engine cloud-based platform. The novel products show high overall accuracy (>90\%), are achieved with high automatization and improve current coarser LULC datasets for Colombia. All the processing procedures used are open access and distributable to the scientific community.",

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AU - González-González, Andrés

AU - Clerici, Nicola

AU - Quesada, Benjamin

PY - 2022/3/1

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N2 - Land use-land cover (LULC) data are critical inputs for policy and scientific research in hydrology, climatology, territory planning and conservation. Colombia, a megadiverse country and deforestation hotspot on Earth, critically needs recent and high-resolution information on land use and land cover. Using Landsat OLI 8 data, we here present a new LULC product for the Colombian Amazon and Andes at 30 m × 30 m resolution for year 2018, using classification and validation procedures based on the Google Earth Engine cloud-based platform. The novel products show high overall accuracy (>90%), are achieved with high automatization and improve current coarser LULC datasets for Colombia. All the processing procedures used are open access and distributable to the scientific community.

AB - Land use-land cover (LULC) data are critical inputs for policy and scientific research in hydrology, climatology, territory planning and conservation. Colombia, a megadiverse country and deforestation hotspot on Earth, critically needs recent and high-resolution information on land use and land cover. Using Landsat OLI 8 data, we here present a new LULC product for the Colombian Amazon and Andes at 30 m × 30 m resolution for year 2018, using classification and validation procedures based on the Google Earth Engine cloud-based platform. The novel products show high overall accuracy (>90%), are achieved with high automatization and improve current coarser LULC datasets for Colombia. All the processing procedures used are open access and distributable to the scientific community.

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A 30 m-resolution land use-land cover product for the Colombian Andes and Amazon using cloud-computing

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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