Soil Carbon Raster Dataset (COG format) – Andalusia (Spain)
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).
Default
- Date ( Publication)
- 2024-12-10
- Presentation form
- Digital image
- Purpose
-
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.
- Status
- On going / operational
Avda. Manuel Siurot, 50
,Sevilla
,41071
,España
+34 955003775
https://www.juntadeandalucia.es/medioambiente/rediam
- Maintenance and update frequency
- Monthly
Avda. Manuel Siurot, 50
,Sevilla
,41071
,España
+34 955003775
https://www.juntadeandalucia.es/medioambiente/rediam
- Keywords
-
Soil carbon
- Keywords
-
Organic carbon
- Keywords
-
Carbon content
- Keywords
-
Soil science
- Keywords
-
Climate change
- Keywords
-
Environmental monitoring
- Keywords
-
Remote sensing
- Keywords
-
Carbon sequestration
- Keywords
-
Andalusia, Spain
- GEMET - INSPIRE themes, version 1.0 GEMET - INSPIRE themes, version 1.0 ( Theme)
-
-
Soil
-
Land use
-
Geographical grid systems
-
Land cover
-
Environmental monitoring facilities
-
Bio-geographical regions
-
- Access constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
-
Creative Commons Attribution 4.0 International Public License (CC BY 4.0)
- Spatial representation type
- Text, table
- Metadata language
- es
- Character set
- UTF8
- Topic category
-
- Inland waters
- Environment
))
- OnLine resource
-
Soil Organic Carbon – Depth 0–30 cm (COG Raster, Andalusia)
(
WWW:LINK-1.0-http--link
)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.
- OnLine resource
-
Soil Organic Carbon – Depth 30–60 cm (COG Raster, Andalusia)
(
WWW:LINK-1.0-http--link
)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.
- OnLine resource
-
Soil Inorganic Carbon – Depth 0–30 cm (COG Raster, Andalusia)
(
WWW:LINK-1.0-http--link
)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.
- OnLine resource
-
Soil Inorganic Carbon – Depth 30–60 cm (COG Raster, Andalusia)
(
WWW:LINK-1.0-http--link
)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.
- Hierarchy level
- Dataset
metadataMetadata
- File identifier
- 969d5657-94b0-47a2-b67c-59e9eb6d0087 XML
- Metadata language
- es
- Character set
- UTF8
- Parent identifier
-
COG Imagery Service – Soil Carbon in Andalusia (Spain)
2b10a2cc-2666-420c-96ae-97e1c49738c7
- Date stamp
- 2025-06-23T12:11:45.508913Z
- Metadata standard name
-
ISO 19115:2003/19139
- Metadata Schema Version
-
1.0
Avda. Manuel Siurot, 50
,Sevilla
,41071
,España
+34 955003775
https://www.juntadeandalucia.es/medioambiente/rediam
