Collect Earth
Tutorials
Try the new Collect Earth GPT Assistant
- Start using the Collect Earth Assistant GPT
- The Collect Earth GPT Assistant can help you by answering questions about your survey or getting ideas on how to design your grid or survey. Try uploading the CEP file directly to the assistant and ask questions like how to add validations, or get suggestions about attributes to add or edit.
Collect Earth - Survey examples
- Collect Earth is installed with a demo survey that is used by default. These are other Collect Earth Project (*.cep) files that can be used as examples or stepping stones for new surveys.
- Demo using University of Maryland studies on deforestation in Brazil (BLA) and the Congo Basin (including data to import)
- Tree plantations in brazil (using polygons)
- Global Forest Change – Accuracy Assessment
- Availability of VHR in Google Earth/Bing Maps
Easy Collect Earth Grid Generation
- Generating the grid files used in the Collect Earth project can be challenging. With this Google Earth Engine tool you can generate the grids directly, whether using a shapefile or country /province/district boundaries.
- GEE Grid Generation
Calculate sampling uncertainty
- With this Excel sheet you can generate the Sampling Uncertainties of the data that you have collected through Collect Earth when using the standard IPCC Land Use survey. Once you have collected the data, run the Saiku Aanalysis and generate the Land Use Category conversion tables for the start and end years of your assessment, adding both plot count and area. Import the data into the first columns of the sheet and the rest of the analysis is done automatically.
- Uncertainty Analysis Excel tool
Collect Earth - System Overview
- Consistent land representation for LULUCF GHG inventory
- Developing a greenhouse gas (GHG) inventory for the LULUCF sector is inherently associated with complexity and methodological difficulties. The ability to appropriately identify and classify land use and land-use changes is a key prerequisite for developing an inventory in line with the principles of the Intergovernmental Panel on Climate Change (IPCC). This paper presents a methodological framework for using Collect Earth to prepare land area data that are complete, consistent, accurate, transparent and comparable, in accordance with the IPCC Guidelines.
- Research Article
Open Foris - Earth Map
- Github
- N/A
- Support Forum
- Earth Map - Support Forum
- Manuals & Guides
- Earth Map - Help Centre
- Materials & Resources
- What is Earth Map (Video)
Open Foris - FERM
- Github
- N/A
- Support Forum
- N/A
- Manuals & Guides
- FERM Manual
- Target 2 Metadata
- FERM step by step guide
- Materials & Resources
- eLearning Course
- More resources →
Open Foris - Ground
Open Foris - SEPAL
- Github
- SEPAL - Github
- Support Forum
- SEPAL - Support Forum
- Manuals & Guides
- SEPAL Documentation
- SEPAL - eLearning Course
Open Foris - WHISP
- Support Forum
- N/A
- Manuals & Guides
- Whisp README
- More resources →
- Materials & Resources
- Transparent supply chains
- Towards a digital public infrastructure ...
- More resources →
Handy Shiny apps - Shiny apps for forest inventories
- Plot grid generator for creating a sampling grid (cluster – plot). Outputs: CSVs and shapefiles.
- Bootstrap simulator provides insight into the increase in the accuracy of estimates of the mean as sampling intensity is increased.
- Analysis of tree height as a function of the breast height diameter (DBH) using R package lmfor.