Our commodity plot identification database uses the Spatial Database of Planted Trees (SDPT) v2.0, providing comprehensive global coverage of planted forests and tree crops. The database covers more than 260 million hectares of planted forests worldwide, delivering improved geographic coverage, higher boundary precision, and enhanced support for regulatory compliance assessments.
SDPT v2.0 includes newly mapped regions and updated datasets for existing countries, providing broader global coverage and more accurate representation of planted forests and tree crops.
The database supports more reliable compliance assessments by incorporating updated planted forest information used in regulatory screening, including EUDR-related evaluations.
More detailed polygon boundaries improve plot identification and assessment accuracy, resulting in more precise compliance evaluations.
SDPT v2.0 follows the Food and Agriculture Organization (FAO) concept of planted forests, which encompasses a wide range of forest ecosystems established through planting, deliberate seeding, or intensive natural regeneration.
Originally, plantations were defined as forests established by planting or deliberate seeding of native or introduced species. As forest management practices evolved, FAO expanded this definition to include seminatural forests established with native species and managed through varying levels of human intervention.
Since 2006, the term planted forests has been used to describe ecosystems ranging from lightly managed seminatural forests to intensively managed commercial tree plantations.
The current database includes extensive improvements over earlier datasets:
Boundary data from additional countries previously unavailable.
Updated boundary information for numerous existing countries.
Six additional boundary sources covering 76 countries.
Updated datasets for 64 countries.
Regional datasets that further improve global coverage.
Each planted tree polygon may include an estimated planting year derived from high-resolution satellite imagery. The planting year dataset was generated using Landsat imagery (1982–2020) and the LandTrendr algorithm in Google Earth Engine, with validation against independent regional datasets.
Many planted tree classes include:
Removal factors for estimating gross carbon sequestration.
Standard deviation values for uncertainty estimation.
These attributes support carbon accounting and geographic-scale sequestration analyses.
Additional attributes have been incorporated to improve usability for GIS software, data analysis, and programming workflows.
SDPT v2.0 contains 1,887 planted tree classes, including both planted forests and tree crops.
Data sources include:
76% based on IPCC (2019) removal factors.
22% derived from nationally focused datasets.
1% based on Del Lungo et al. (2006).
Less than 1% from other published sources.
The database includes expanded coverage across many countries, including:
Burundi
Bangladesh
Belize
Brunei
Côte d'Ivoire
Republic of the Congo
Cabo Verde
Cuba
Dominican Republic
Guinea
The Gambia
Guinea-Bissau
Equatorial Guinea
Liberia
Sri Lanka
Pakistan
Papua New Guinea
Senegal
Sierra Leone
El Salvador
São Tomé and Príncipe
Togo
Trinidad and Tobago
Tanzania
Uganda
Vanuatu
The expanded datasets provide significantly improved representation in many regions. Examples include:
Region
Coverage
Brazil | Increased from 246,643 ha to 317,855 ha (+22%) |
Europe | Increased from 403,430 ha to 4,125,013 ha (+90%) |
Chile | Increased from 67,875 ha to 2,690,079 ha (+97%) |
Colombia | Increased from 3,117 ha to 17,629 ha (+82%) |
Cambodia | Increased from 437 ha to 101,697 ha (+100%) |
These improvements enhance both geographic completeness and boundary precision.
The higher-resolution boundaries and expanded geographic coverage improve the accuracy of compliance screening and plot identification. As a result, assessments benefit from more detailed geographic information and more precise boundary delineation.
To make the most of the available data, we recommend that users:
Review compliance reports regularly.
Verify plot boundaries using the latest geographic information.
Evaluate changes in mapped coverage where applicable.
Contact our support team if additional clarification is required.
We continuously maintain and enhance our commodity plot identification database to provide accurate, reliable, and up-to-date information for sustainability and regulatory compliance assessments. The integration of SDPT v2.0 supports more comprehensive global coverage, improved spatial accuracy, and stronger analytical capabilities for customers worldwide.
