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

Resultado de la investigación: Contribución a una revista › Artículo › revisión exhaustiva

Resumen

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.

Idioma original	Inglés estadounidense
Número de artículo	102688
Publicación	International Journal of Applied Earth Observation and Geoinformation
Volumen	107
DOI	https://doi.org/10.1016/j.jag.2022.102688
Estado	Publicada - mar. 2022

Áreas temáticas de ASJC Scopus

Cambio global y planetario
Procesos de la superficie terrestre
Informática en Ciencias de la Tierra
Gestión, supervisión, políticas y leyes

ODS de las Naciones Unidas

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10.1016/j.jag.2022.102688

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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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doi = "10.1016/j.jag.2022.102688",

language = "English (US)",

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journal = "International Journal of Applied Earth Observation and Geoinformation",

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A 30 m-resolution land use-land cover product for the Colombian Andes and Amazon using cloud-computing. / González-González, Andrés; Clerici, Nicola ; Quesada, Benjamin.

En: International Journal of Applied Earth Observation and Geoinformation, Vol. 107, 102688, 03.2022.

Resultado de la investigación: Contribución a una revista › Artículo › revisión exhaustiva

TY - JOUR

T1 - A 30 m-resolution land use-land cover product for the Colombian Andes and Amazon using cloud-computing

AU - González-González, Andrés

AU - Clerici, Nicola

AU - Quesada, Benjamin

PY - 2022/3

Y1 - 2022/3

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

Resumen

Áreas temáticas de ASJC Scopus

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