969d5657-94b0-47a2-b67c-59e9eb6d0087 2b10a2cc-2666-420c-96ae-97e1c49738c7 Servicio de Análisis de la Información Ambiental - Consejería de Sostenibilidad y Medio Ambiente - Junta de Andalucía. - España Servicio de Análisis de la Información Ambiental - Consejería de Sostenibilidad y Medio Ambiente - Junta de Andalucía. - España Environmental Information Analysis Service – Ministry of Sustainability and Environment – Regional Government of Andalusia – Spain Red de Información Ambiental de Andalucía (REDIAM) - Junta de Andalucía Red de Información Ambiental de Andalucía (REDIAM) - Junta de Andalucía Andalusian Environmental Information Network (REDIAM) – Regional Government of Andalusia rediam.atiende.csma@juntadeandalucia.es rediam.atiende.csma@juntadeandalucia.es rediam.atiende.csma@juntadeandalucia.es Servicio de Análisis de la Información Ambiental - Consejería de Sostenibilidad y Medio Ambiente - Junta de Andalucía. - España Servicio de Análisis de la Información Ambiental - Consejería de Sostenibilidad y Medio Ambiente - Junta de Andalucía. - España Environmental Information Analysis Service – Ministry of Sustainability and Environment – Regional Government of Andalusia – Spain Red de Información Ambiental de Andalucía (REDIAM) - Junta de Andalucía Red de Información Ambiental de Andalucía (REDIAM) - Junta de Andalucía Andalusian Environmental Information Network (REDIAM) – Regional Government of Andalusia +34 955003400 +34 955003775 Avda. Manuel Siurot, 50 Avda. Manuel Siurot, 50 Sevilla 41071 España España rediam.atiende.csma@juntadeandalucia.es rediam.atiende.csma@juntadeandalucia.es rediam.atiende.csma@juntadeandalucia.es https://www.juntadeandalucia.es/medioambiente/rediam WWW:LINK-1.0-http--link Página web de la Red de Información Ambiental de Andalucía - Junta de Andalucía Página web de la Red de Información Ambiental de Andalucía - Junta de Andalucía 2025-06-23T12:11:45.508913Z ISO 19115:2003/19139 1.0 Soil Carbon Raster Dataset (COG format) – Andalusia (Spain) Soil Carbon Raster Dataset (COG format) – Andalusia (Spain) Soil Carbon Raster Dataset (COG format) – Andalusia (Spain) 2024-12-10 This metadata record describes a set of raster maps representing soil carbon content in agricultural areas of Andalusia, Spain. The dataset includes values for both organic carbon (COS) and inorganic carbon (CIC) at two depth intervals: 0–30 cm and 30–60 cm. These maps were generated using digital soil mapping techniques based on field sampling (684 locations) and a range of environmental predictors (e.g., climate, land use, topography, vegetation indices). Machine learning models (QRF, MLR, AML) were applied to produce high-resolution predictions (90 m). The data are provided in Cloud Optimized GeoTIFF (COG) format, allowing efficient access, visualization, and download via HTTP range requests. The service is maintained within the GIS infrastructure of LifeWatch ERIC and integrated in the Andalusian Environmental Information Network (REDIAM). This metadata record describes a set of raster maps representing soil carbon content in agricultural areas of Andalusia, Spain. The dataset includes values for both organic carbon (COS) and inorganic carbon (CIC) at two depth intervals: 0–30 cm and 30–60 cm. These maps were generated using digital soil mapping techniques based on field sampling (684 locations) and a range of environmental predictors (e.g., climate, land use, topography, vegetation indices). Machine learning models (QRF, MLR, AML) were applied to produce high-resolution predictions (90 m). The data are provided in Cloud Optimized GeoTIFF (COG) format, allowing efficient access, visualization, and download via HTTP range requests. The service is maintained within the GIS infrastructure of LifeWatch ERIC and integrated in the Andalusian Environmental Information Network (REDIAM). This metadata record describes a set of raster maps representing soil carbon content in agricultural areas of Andalusia, Spain. The dataset includes values for both organic carbon (COS) and inorganic carbon (CIC) at two depth intervals: 0–30 cm and 30–60 cm. These maps were generated using digital soil mapping techniques based on field sampling (684 locations) and a range of environmental predictors (e.g., climate, land use, topography, vegetation indices). Machine learning models (QRF, MLR, AML) were applied to produce high-resolution predictions (90 m). The data are provided in Cloud Optimized GeoTIFF (COG) format, allowing efficient access, visualization, and download via HTTP range requests. The service is maintained within the GIS infrastructure of LifeWatch ERIC and integrated in the Andalusian Environmental Information Network (REDIAM). To provide open and scalable access to predictive soil carbon data (organic and inorganic) for supporting environmental monitoring, land use planning, and climate change mitigation strategies in Andalusia. The publication in COG format enables efficient access through standard web clients and GIS platforms, promoting interoperability and reuse of geospatial data. To provide open and scalable access to predictive soil carbon data (organic and inorganic) for supporting environmental monitoring, land use planning, and climate change mitigation strategies in Andalusia. The publication in COG format enables efficient access through standard web clients and GIS platforms, promoting interoperability and reuse of geospatial data. To provide open and scalable access to predictive soil carbon data (organic and inorganic) for supporting environmental monitoring, land use planning, and climate change mitigation strategies in Andalusia. The publication in COG format enables efficient access through standard web clients and GIS platforms, promoting interoperability and reuse of geospatial data. Servicio de Análisis de la Información Ambiental - Consejería de Sostenibilidad y Medio Ambiente - Junta de Andalucía. - España Servicio de Análisis de la Información Ambiental - Consejería de Sostenibilidad y Medio Ambiente - Junta de Andalucía. - España Environmental Information Analysis Service – Ministry of Sustainability and Environment – Regional Government of Andalusia – Spain Red de Información Ambiental de Andalucía (REDIAM) - Junta de Andalucía Red de Información Ambiental de Andalucía (REDIAM) - Junta de Andalucía Andalusian Environmental Information Network (REDIAM) – Regional Government of Andalusia +34 955003400 +34 955003775 Avda. Manuel Siurot, 50 Avda. Manuel Siurot, 50 Avda. Manuel Siurot, 50 Sevilla 41071 España España España rediam.atiende.csma@juntadeandalucia.es rediam.atiende.csma@juntadeandalucia.es rediam.atiende.csma@juntadeandalucia.es https://www.juntadeandalucia.es/medioambiente/rediam WWW:LINK-1.0-http--link Página web de la Red de Información Ambiental de Andalucía - Junta de Andalucía Página web de la Red de Información Ambiental de Andalucía - Junta de Andalucía Página web de la Red de Información Ambiental de Andalucía - Junta de Andalucía Servicio de Análisis de la Información Ambiental - Consejería de Sostenibilidad y Medio Ambiente - Junta de Andalucía. - España Servicio de Análisis de la Información Ambiental - Consejería de Sostenibilidad y Medio Ambiente - Junta de Andalucía. - España Servicio de Análisis de la Información Ambiental - Consejería de Sostenibilidad y Medio Ambiente - Junta de Andalucía. - España Andalusian Environmental Information Network (REDIAM) – Regional Government of Andalusia Andalusian Environmental Information Network (REDIAM) – Regional Government of Andalusia Red de Información Ambiental de Andalucía (REDIAM) - Junta de Andalucía +34 955003400 +34 955003775 Avda. Manuel Siurot, 50 Avda. Manuel Siurot, 50 Avda. Manuel Siurot, 50 Sevilla 41071 España España España rediam.atiende.csma@juntadeandalucia.es rediam.atiende.csma@juntadeandalucia.es rediam.atiende.csma@juntadeandalucia.es https://www.juntadeandalucia.es/medioambiente/rediam WWW:LINK-1.0-http--link Página web de la Red de Información Ambiental de Andalucía - Junta de Andalucía Página web de la Red de Información Ambiental de Andalucía - Junta de Andalucía Página web de la Red de Información Ambiental de Andalucía - Junta de Andalucía Soil carbon Soil carbon Soil carbon Organic carbon Organic carbon Organic carbon Carbon content Carbon content Carbon content Soil science Soil science Soil science Climate change Climate change Climate change Environmental monitoring Environmental monitoring Environmental monitoring Remote sensing Remote sensing Remote sensing Carbon sequestration Carbon sequestration Carbon sequestration Andalucía, España Andalucía, España Andalusia, Spain Soil Land use Geographical grid systems Land cover Environmental monitoring facilities Bio-geographical regions GEMET - INSPIRE themes, version 1.0 GEMET - INSPIRE themes, version 1.0 2008-06-01 geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme Creative Commons Attribution 4.0 International Public License (CC BY 4.0) Creative Commons Attribution 4.0 International Public License (CC BY 4.0) Creative Commons Attribution 4.0 International Public License (CC BY 4.0) inlandWaters environment -7.5005 -1.4136 35.8669 38.887 https://cog.gis.lifewatch.eu/carbono_suelo/f_cos_30_v4_f_COG.tif WWW:LINK-1.0-http--link HTTP-Rangerequest / COG Soil Organic Carbon – Depth 0–30 cm (COG Raster, Andalusia) Soil Organic Carbon – Depth 0–30 cm (COG Raster, Andalusia) Soil Organic Carbon – Depth 0–30 cm (COG Raster, Andalusia) High-resolution raster map (90 m) of soil organic carbon (SOC) content in the topsoil layer (0–30 cm) across agricultural soils in Andalusia. The data were generated through digital soil mapping techniques using machine learning models (QRF, MLR, AML), integrating field samples and environmental variables (vegetation indices, land use, topography, climate, parent material). The map is provided in Cloud Optimized GeoTIFF (COG) format, enabling efficient visualization and download via HTTP range requests. This product supports environmental monitoring, sustainable land management, and climate action. High-resolution raster map (90 m) of soil organic carbon (SOC) content in the topsoil layer (0–30 cm) across agricultural soils in Andalusia. The data were generated through digital soil mapping techniques using machine learning models (QRF, MLR, AML), integrating field samples and environmental variables (vegetation indices, land use, topography, climate, parent material). The map is provided in Cloud Optimized GeoTIFF (COG) format, enabling efficient visualization and download via HTTP range requests. This product supports environmental monitoring, sustainable land management, and climate action. High-resolution raster map (90 m) of soil organic carbon (SOC) content in the topsoil layer (0–30 cm) across agricultural soils in Andalusia. The data were generated through digital soil mapping techniques using machine learning models (QRF, MLR, AML), integrating field samples and environmental variables (vegetation indices, land use, topography, climate, parent material). The map is provided in Cloud Optimized GeoTIFF (COG) format, enabling efficient visualization and download via HTTP range requests. This product supports environmental monitoring, sustainable land management, and climate action. https://cog.gis.lifewatch.eu/carbono_suelo/f_cos_60_v4_f_COG.tif WWW:LINK-1.0-http--link HTTP-Rangerequest / Cloud Optimized GeoTIFF Soil Organic Carbon – Depth 30–60 cm (COG Raster, Andalusia) Soil Organic Carbon – Depth 30–60 cm (COG Raster, Andalusia) Soil Organic Carbon – Depth 30–60 cm (COG Raster, Andalusia) High-resolution raster map (90 m) of soil organic carbon (SOC) content in the subsoil layer (30–60 cm) across agricultural soils in Andalusia. Developed through digital soil mapping using machine learning (QRF, MLR, AML) and environmental predictors (vegetation indices, climate, land use, topography, parent material). Distributed in Cloud Optimized GeoTIFF (COG) format to support efficient streaming and downloading via HTTP range requests. Supports environmental monitoring, land management, and climate-related assessments. High-resolution raster map (90 m) of soil organic carbon (SOC) content in the subsoil layer (30–60 cm) across agricultural soils in Andalusia. Developed through digital soil mapping using machine learning (QRF, MLR, AML) and environmental predictors (vegetation indices, climate, land use, topography, parent material). Distributed in Cloud Optimized GeoTIFF (COG) format to support efficient streaming and downloading via HTTP range requests. Supports environmental monitoring, land management, and climate-related assessments. High-resolution raster map (90 m) of soil organic carbon (SOC) content in the subsoil layer (30–60 cm) across agricultural soils in Andalusia. Developed through digital soil mapping using machine learning (QRF, MLR, AML) and environmental predictors (vegetation indices, climate, land use, topography, parent material). Distributed in Cloud Optimized GeoTIFF (COG) format to support efficient streaming and downloading via HTTP range requests. Supports environmental monitoring, land management, and climate-related assessments. https://cog.gis.lifewatch.eu/carbono_suelo/f_inc_30_v4_f_COG.tif WWW:LINK-1.0-http--link HTTP-Rangerequest / Cloud Optimized GeoTIFF Soil Inorganic Carbon – Depth 0–30 cm (COG Raster, Andalusia) Soil Inorganic Carbon – Depth 0–30 cm (COG Raster, Andalusia) Soil Inorganic Carbon – Depth 0–30 cm (COG Raster, Andalusia) High-resolution raster map (90 m) of soil inorganic carbon (SIC) content in the topsoil layer (0–30 cm) across agricultural areas of Andalusia. Generated using machine learning models and environmental predictors (e.g., vegetation indices, land use, topography, parent material), this dataset supports environmental monitoring, land degradation analysis, and carbon balance studies. Published in Cloud Optimized GeoTIFF (COG) format for efficient web-based access and streaming via HTTP range requests. High-resolution raster map (90 m) of soil inorganic carbon (SIC) content in the topsoil layer (0–30 cm) across agricultural areas of Andalusia. Generated using machine learning models and environmental predictors (e.g., vegetation indices, land use, topography, parent material), this dataset supports environmental monitoring, land degradation analysis, and carbon balance studies. Published in Cloud Optimized GeoTIFF (COG) format for efficient web-based access and streaming via HTTP range requests. High-resolution raster map (90 m) of soil inorganic carbon (SIC) content in the topsoil layer (0–30 cm) across agricultural areas of Andalusia. Generated using machine learning models and environmental predictors (e.g., vegetation indices, land use, topography, parent material), this dataset supports environmental monitoring, land degradation analysis, and carbon balance studies. Published in Cloud Optimized GeoTIFF (COG) format for efficient web-based access and streaming via HTTP range requests. https://cog.gis.lifewatch.eu/carbono_suelo/f_inc_60_v4_f_COG.tif WWW:LINK-1.0-http--link HTTP-Rangerequest / Cloud Optimized GeoTIFF Soil Inorganic Carbon – Depth 30–60 cm (COG Raster, Andalusia) Soil Inorganic Carbon – Depth 30–60 cm (COG Raster, Andalusia) Soil Inorganic Carbon – Depth 30–60 cm (COG Raster, Andalusia) High-resolution raster map (90 m) of soil inorganic carbon (SIC) content in the subsoil layer (30–60 cm) across agricultural lands in Andalusia. Developed through spatial modeling using machine learning algorithms and environmental covariates such as vegetation indices, climate data, land use, and parent material. Provided in Cloud Optimized GeoTIFF (COG) format, this dataset enables efficient access, streaming, and download over the web via HTTP range requests. Suitable for environmental monitoring, land-use planning, and carbon accounting. High-resolution raster map (90 m) of soil inorganic carbon (SIC) content in the subsoil layer (30–60 cm) across agricultural lands in Andalusia. Developed through spatial modeling using machine learning algorithms and environmental covariates such as vegetation indices, climate data, land use, and parent material. Provided in Cloud Optimized GeoTIFF (COG) format, this dataset enables efficient access, streaming, and download over the web via HTTP range requests. Suitable for environmental monitoring, land-use planning, and carbon accounting. High-resolution raster map (90 m) of soil inorganic carbon (SIC) content in the subsoil layer (30–60 cm) across agricultural lands in Andalusia. Developed through spatial modeling using machine learning algorithms and environmental covariates such as vegetation indices, climate data, land use, and parent material. Provided in Cloud Optimized GeoTIFF (COG) format, this dataset enables efficient access, streaming, and download over the web via HTTP range requests. Suitable for environmental monitoring, land-use planning, and carbon accounting.