Clark Labs teams up with to develop web based land-cover analysis and REDD tools

Land Change Modeler for ArcGIS (Image used with permission from Clark Labs)

From Clark Labs news:

Clark Labs recently received a $451,000 grant from the Gordon and Betty Moore Foundation to support the development of land-cover analysis and REDD tools for use on Google's Earth Engine. REDD, Reducing Emissions from Deforestation and Forest Degradation, is a climate change mitigation strategy that offers developing countries incentives to reduce forest carbon emissions. The complex implementation of REDD relies on substantial computing and data resources, and requires significant effort and investment. It is hoped that providing accessible modeling tools with Google’s cloud computing resources and wealth of geospatial data will encourage broader adoption of REDD.

The grant supports the development of a prototype of the land change analysis and prediction tools for’s Earth Engine platform, a technology in development that enables global-scale monitoring and measurement of changes in the Earth’s forests. It is planned that Google will host the required geospatial data layers to implement a REDD project, including maps of those factors identified as critical causes of deforestation, such as proximity to roads, slopes or distance from existing deforestation.

The new tools in development will guide the user through the steps of baseline development--land change analysis of the reference, project and leakage areas of a project, the identification of the carbon pools and input of carbon density values, and the estimation of emissions for projected dates. This new functionality will also directly produce the multitude of tables and graphics for the carbon accounting reporting requirement of REDD. The preparation costs of REDD will be significantly reduced by the automation provided by these tools.

Clark Labs is based within the Graduate School of Geography at Clark University in Worcester, MA and is the developer of the IDRISI Taiga GIS and Image Processing software and the Land Change Modeler software extension to ArcGIS. To view the full news release click here.