Raster · dataset · 2020
Digital Soil Mapping
Listed in Ontario Open Government Data
## Purpose The Ministry of Agriculture, Food and Agribusiness (OMAFA) is responsible for Ontario’s provincial soil maps and maintains and update them as necessary.
Description
Digital Soil Mapping (DSM) is a modern methodology using spatially explicit soils and environmental data to predict soil variation throughout a landscape at a high, consistent resolution. Digital soil maps are being rolled out throughout Ontario’s agricultural land base to update provincial soil maps. ## Reach Provincial soil maps are used in many decision-making processes including:
- land use planning
- land evaluation
- farming practices
- best management practices
- ecological monitoring
- land resource mapping Potential users of this data include:
- farmers
- certified crop advisors
- conservation authorities
- academic researchers
- land use planners ## Potential impacts Digital soil maps provide more accurate and precise soils data and enables improved management of soil resources across multiple stakeholders. This allows for better decision making to maximize land use efficiency, improve economic efficiency of soil resources and promote soil health and soil conservation. ## Technical description Digital soil mapping combines geo-referenced soil observations with geo-referenced environmental layers to mathematically model soil variation as a function of environment variation. These models are based on well established, but often complex relationships, between soil properties and topography, biology, geology and hydrology.
Links
Get the data
- Ontario GeoHub geohub.lio.gov.on.ca/datasets/ontarioca11::ottawa-digital-soil-maps/about ↗
download · from data ontario ca
- CarrefourGéo Ontario geohub-fr.lio.gov.on.ca/datasets/ontarioca11::cartographie-num%C3%A9rique-des-sols-dot… ↗
download · from data ontario ca
Where it is published
- Ontario Open Government Data dataset page data.ontario.ca/dataset/digital-soil-mapping ↗
landing page · from data ontario ca
Catalogue records · 1
- CKAN API data.ontario.ca/api/3/action/package_show?id=d3bb068f-39e1-4b2e-8586-9f3d1e0d9… ↗
metadata API · from data ontario ca
Topics
- From keywords
- Computer Science & AI · Earth & Environmental Science · Life Sciences · Machine learning
Provenance · 1 source records, 10 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Ontario Open Government Data | d3bb068f-39e1-4b2e-8586-9f3d1e0d9465 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:group:4611 | mapping · data ontario ca | vocabulary-mapper@1.0.0 | keywords['machine learning'] |
| concepts[field].local:field:computer-science-ai | mapping · data ontario ca | connector:data_ontario_ca@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · data ontario ca | connector:data_ontario_ca@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · data ontario ca | connector:data_ontario_ca@1.0.0 | |
| created_date | source · data ontario ca | connector:data_ontario_ca@1.0.0 | |
| description | source · data ontario ca | connector:data_ontario_ca@1.0.0 | /notes |
| license_text | source · data ontario ca | connector:data_ontario_ca@1.0.0 | |
| publication_date | source · data ontario ca | connector:data_ontario_ca@1.0.0 | |
| title | source · data ontario ca | connector:data_ontario_ca@1.0.0 | /title |
| updated_date | source · data ontario ca | connector:data_ontario_ca@1.0.0 |