Canada National Soil Database (NSDB)
Minister of Agriculture and Agri-Food, Canada | Source |
The NSDB is a comprehensive geospatial platform archiving soil, landscape, and climatic data across Canada. It integrates datasets from federal and provincial surveys to support land resource analysis and sustainable management. Key components include Soil Name and Layer Data, the National Pedon Database, and Soil Landscape Grids of Canada, which aid in soil classification, digital mapping, environmental modeling, carbon stock assessments, and soil health reporting. The Detailed Soil Surveys (DSS) offer the most extensive soil inventory, covering major agricultural regions at various scales to assess land suitability, soil fertility, and erosion risks. Additional datasets, such as the Canada Land Inventory (CLI) and Soil Landscapes of Canada (SLC), provide insights into land capability and ecological frameworks. Data is accessible via interactive maps, GIS layers, and downloadable tables.
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Minister of Agriculture and Agri-Food, Canada | Source |Â The NSDB is a comprehensive geospatial platform archiving soil, landscape, and climatic data across Canada. It integrates datasets from federal
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Food and Agricultural Organiztion of the United Nations| Source | The Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA)
European Commission | The EU Soil Observatory (EUSO) is a soil knowledge platform hosted by the European Commission’s Joint Research Centre (JRC) through the European Soil Data Centre (ESDAC). It prov
European Commission| Source | Data |The Copernicus Land Monitoring Service (CLMS) delivers geospatial information globally, focusing on land cover, changes, land use, vegetation status, water cycle, a
Scientific Data| Source | Data  | Scientific Data is a peer-reviewed open-access journal for descriptions of datasets and research that advances the sharing and reuse of research data. Our primary co
European Space Agency | Source | Dataset | Â The dataset at hand presents a collection of estimates pertaining to forest above-ground biomass (AGB) spanning the years 2010, 2017, 2018, 2019, and 2020.
