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.
Viewed Articles
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
Read More
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
UNDP| Source | Data | The United Nations Development Programme (UNDP) and the State Government of Telangana, India have introduced Data in Climate Resilient Agriculture (DiCRA) to the Digital Public G
ISRIC | Source | Data | ISRIC – World Soil Information is an independent foundation with a mission to serve the international community as a custodian of global soil information. It supports soil data
The Nature Conservancy| Source | Data |Â Naturebase is a web platform focusing on natural climate solutions (NCS), which involve protecting, managing, and restoring nature to reduce greenhouse gas emis
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.