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Forest carbon project developers, investors, and credit buyers can use our high accuracy Tanzania land cover datasets to originate, review, or monitor projects across the country.

Our audit-grade land cover map spans 86 million hectares in Tanzania, with granular land cover classification and change across a number of time points.

PRODUCT SPECIFICATION

Granular Land Cover Insights

Our mapping data covers 86 million hectares in Tanzania, producing detailed insights on granular land cover classes across a number of time points.

With a flexible data delivery model, you can access the entire dataset, request carve-outs of specific Areas of Interest, or purchase out of the box Insight Reports to support technical due diligence and impact assessment.

Land Cover Classifications

  • Forest
  • Woodland
  • Thicket
  • Mangrove
  • Herbaceous Crops
  • Herbaceous Crops with Trees
  • Agriculture
  • Tree Crops
  • Plantation
  • Grassland
  • Bushland
  • Water
  • Bare/Urban Areas

Change Data

  • Stable Forest
  • Stable Non Forest
  • Deforestation
  • Afforestation

OUR PROCESS

Local Calibration to Factor in Regional Ecosystems

Each country and landscape presents a number of factors that can influence the results of remotely sensed land cover data.

Mosaic landscapes are prevalent across Tanzania which requires differentiation between the various woody cover classes, including natural forest and anthropogenic use of tree cover in the landscape.

This example shows how our HabitatMapper product has captured this patchwork of landcover, delineating between forest, tree crop, and herbaceous crops with trees.

Our mapping process fuses multiple satellite sensors and integrates ecological expertise to train our machine learning framework to take into account these local factors to compile a comprehensive, accurate, and reliable dataset.

ACCURACY ASSESSMENT

Ensuring Accuracy Even in Challenging Landscapes

We assess the accuracy of our products and their uncertainty in a statistically rigorous way, following best practice as described in the scientific literature and following international standards and provide associated results for every map – whether at the national-level or a single AOI.

USE CASES

How our data supports your NbS program

For Investors

Conduct first-pass review of projects to assess feasibility

Review projects with audit-grade data

Independently monitor projects over time

For Developers

Screen large areas to identify new project locations

Originate projects with activity and land use data

Data to support issuance and project promotion

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