Restoration Project Information Sharing Framework

Use this tool to
Select indicators to monitor from a curated framework of suggested indicators for monitoring restoration projects
End Product(s)

A list of indicators for monitoring restoration projects

The Restoration Project Information Sharing Framework is a list of 61 indicators and 32 project descriptors that are designed to be applicable to many types of restoration projects and shared across monitoring platforms. The goal of the framework is to create consistency and uniformity in the indicators that are monitored for all restoration projects, which will facilitate better compatibility and sharing of information across monitoring practitioners and activities. The indicators map to the 10 Principles of Ecosystem Restoration developed by the UN Decade on Ecosystem Restoration, with suggested headline, core, and secondary indicators for each principle. It also provides examples of sample project goals where each indicator may be appropriate.

The Restoration Project Information Sharing Framework was developed by the Society for Ecological Restoration (SER) and Climate Focus, in partnership with the Global Restoration Observatory (GRO), the UN Decade on Ecosystem Restoration Monitoring Task Force, and many other collaborators. The framework is intended to be flexible; users can choose the indicators that fit their project circumstances and goals. However, it does not provide specific guidance to the user in selecting the specific indicators to use for their project.

Scale
Site
Technical skills/resources required
None
Cost
Free
Language(s) available
English

System for Earth Observation Data Access, Processing, and Analysis for Land Monitoring (SEPAL)

Use this tool to
Derive data from satellite imagery for various land use/land cover indicators
End Product(s)

Maps, baselines, and change statistics for various land use/land cover indicators.

SEPAL is a cloud-computing platform that lets users efficiently query and process satellite imagery to perform landscape monitoring analyses. It provides access to large amounts of satellite imagery through Google Earth Engine, pre-created tools to run common geospatial analysis without coding experience, and the ability for more advanced users to program their own customized analyses. To access SEPAL, users must register for free SEPAL and Google Earth Engine accounts.

SEPAL uses Amazon Web Services (AWS) cloud computers to process data using pre-programmed SEPAL applications or customized, user-created code (in R, Python, or in the terminal). The modules that are most relevant to restoration monitoring include SDG 15.3.1, which generates data for reporting on land degradation as part of SDG indicator 15.3.1 (similar to the Trends.Earth tool but using finer resolution data); SEPAL-MGCI beta, which supports computation of the Mountain Green Cover Index (MGCI) as part of SDG Indicator 15.4.2; Soil Moisture Mapping, which measures soil moisture over time such as for monitoring peatlands; and several time-series modules that can harness historical satellite imagery to derive measurements of land and tree cover change over time.

Scale
Landscape
Technical skills/resources required
Internet connection, Google Earth Engine account
Cost
Free
Language(s) available
English, French, Spanish

TerraMatch

Use this tool to
Track tree-based restoration within defined sites using a standard set of indicators
End Product(s)

Site report of restoration progress relative to indicators and targets.

TerraMatch is a full-service monitoring platform designed to catalyze locally led restoration projects through a trusted vetting, technical assistance, monitoring, and funding system. Restoration implementers who submit their projects on TerraMatch through an open request-for-proposals gain access to financing opportunities, a standard reporting and monitoring system to prove their impact, and technical assistance opportunities to grow their businesses. Investors gain access to a high-quality pipeline of enterprises and the ability to monitor those enterprises’ progress and impact. Currently, access to TerraMatch is by application only through a periodic request-for-proposals process. To express interest in TerraMatch and to learn more about future requests-for-proposals, email terramatch@wri.org.

TerraMatch uses a standard framework of indicators that is applicable to most tree-based restoration projects. As the user submits their project updates from the field, using either the web browser or offline mobile application version, the incoming data is then visualized within TerraMatch’s monitoring dashboards. The platform combines self-reported, field-collected data with remote sensing-based data to set an independent baseline for each restoration site within each funded project that highlights biophysical indicators (like the percentage of tree cover) and socioeconomic indicators (like the number of jobs created), then tracks how they change over time. By comparing both independent and self-reported data, TerraMatch aims to bring transparency and credibility to locally led restoration projects. In 2022, 119 projects associated with the Priceless Planet Coalition and TerraFund for AFR100 began to submit regular reporting data onto TerraMatch. In 2023, the platform will launch targeted requests-for-proposals where restoration implementers in select regions can submit project proposals that are vetted according to standard criteria. The best applicants will receive technical assistance and funding to implement their projects. Over the following years, their progress will be closely monitored and their aggregated impact will be shown on accessible dashboards for certain project portfolios, landscapes, countries, and other geographical areas of interest.

Scale
Site
Technical skills/resources required
Internet connection, familiarity with field sampling techniques
Cost
Free
Language(s) available
English, French, Spanish, Portuguese

TreeMapper

Use this tool to
Collect field-level data on tree location, species, survival, and growth
End Product(s)

Dataset of tree location, species, survival, and growth information that you can either export as a GeoJSON or upload to the Plant-for-the-Planet website and interactive map.

TreeMapper is a mobile app (available for iPhone and Android) that helps restoration implementers collect data on their tree planting activities. Users register trees by taking geotagged photos and entering information on their species and height. Data can be collected offline and uploaded to the project’s tree inventory once the phone is connected to the internet. Once uploaded, the locations and information of the trees are added to the project’s online map, which can be shared with donors and stakeholders. Data can also be exported for internal use.

TreeMapper was created for users of the on-the-ground partners of Plant-for-the-Planet projects, but other users can create a free online account at the Trillion Tree Campaign website. Users can choose to upload a polygon that contains summary information for large-scale tree plantings, or to upload points representing individual trees. Users can also customize the data collection form to include additional information, such as who planted the tree. The project’s online map and data on trees planted can be kept private or made publicly viewable. Project profiles can include additional information for stakeholders and donors, such as the number of people employed, causes of degradation, and project goals. Users cannot currently re-measure trees to track their progress over time, but this feature is scheduled to be added soon.

Scale
Site
Technical skills/resources required
Internet connection (to upload data), mobile device with Android or iOS
Cost
Free
Language(s) available
Italian, English, French, German, Spanish, Portuguese

Trends.Earth

Use this tool to
Calculate the UN SDG 15.3.1 indicator (proportion of land area that is degraded) and its sub-indicators (change in land productivity, change in soil organic carbon, and change in land cover); report SDG 15.3.1 indicator to the UNCCD reporting platform (PRAIS3/4)
End Product(s)
Maps (GeoTIFF files) of change in productivity, change in soil organic carbon, change in land cover, and the overall SDG 15.3.1 land degradation indicator; Excel table reporting the total land area that was degraded/improved/stable for the overall SDG 15.3.5 indicator and the sub-indicators (land productivity, soil organic carbon, land cover) for your area of interest Trends.Earth was designed for countries to monitor the achievement of Land Degradation Neutrality (LDN) as part of the United Nations Sustainable Development Goal (UN SDG) 15.3. It is a desktop-based tool that leverages Earth observation satellite data as a plug-in of the open-source geospatial platform Quantum GIS (QGIS) to monitor land degradation against a baseline and target year. The tool calculates three separate indicators of landscape degradation: change in land productivity, change in land cover, and changes in soil organic carbon. The results of three indicators can be combined into a single SDG 15.3.1 indicator, which defines area as degraded, stable, or improved. Trends.Earth results are packaged as maps and summary tables that tabulate total land area within each category (e.g., degraded, stable, improved) in an output Excel spreadsheet.

The three indicators used to calculate the SDG can be customized to suit the user’s needs by adjusting the period of analysis and various input datasets (i.e. default global datasets or custom finer spatial resolution datasets). The resolution of default integrated satellite data inputs range from 250-m to 8-km and the outputs are maps of each of the three indicators. In addition to monitoring progress towards UN SDG 15.3.1, countries have been successfully using Trends.Earth to report on their LDN commitments to the United Nations Convention to Combat Desertification (UNCCD). The tool can be applied at global, regional, national scale using default data, but also at regional, national or subnational scales when using custom data to inform land use planning and to monitor land degradation and sustainable land management activities.

Scale
Landscape
Technical skills/resources required
Internet connection, QGIS version 3.22 or greater
Cost
Free
Language(s) available
Arabic, Swahili, Chinese, English, French, Russian, Spanish, Portuguese

Veritree

Use this tool to
Conduct field-level tracking and validation of restoration activities; report progress to corporate partners through a dashboard
End Product(s)

Tree tokens and data in an interactive platform used by planting organizations and donors.

Veritree is an integrated management platform that supports tree planting organizations with ground-level data collection, site planning, tree inventories, impact monitoring, and engagement with carbon markets. Planting partners use instruments provided by veritree to monitor the trees they plant. This information is independently verified. Verified trees are cataloged in the veritree online system and are allocated to upstream business customers that pay for tree-planting efforts.

Veritree was designed to provide accountability for tentree, a sustainable apparel company that plants ten trees for every item of clothing sold. Other companies that want to support verified tree planting projects can now use the platform as well by contacting veritree. When organizations plant trees on behalf of companies, each tree is tokenized with a unique QR code so the tree can be tracked over time. Restoration implementers interested in working with veritree to monitor their efforts and access funding and businesses interested in using veritree to fund nature-based solutions should contact veritree.

Scale
Site
Technical skills/resources required
Familiarity with field-sampling techniques
Cost
Free to planting partners (restoration implementers); fee-based service for corporate partners
Language(s) available
English