Tools

On this page, we provide an overview of several interesting resources that support the estimation and monitoring of land use (change) and associated GHG emissions. These tools (e.g. methods, R packages, learning materials) were developed at the Laboratory of Geo-Information Science & Remote Sensing at Wageningen University in collaboration with various partners. 

Interactive community-based environmental monitoring

Community-based monitoring can support the collection and interpretation of environmental data. Our research focuses on innovations for community-based environmental data collection and information delivery systems. In addition, integrating community-based monitoring data with remote sensing analysis in an interactive system can support effective and interactive stakeholder engagement in environmental monitoring.

Case studies

Tools

  • MobIFM: Interactive community-based forest monitoring mobile application for REDD+ monitoring
  • Interactive forest monitoring system: an interactive web-based near real-time forest monitoring system integrating data streams from satellite and community-based monitoring using mobile devices

Other useful resources

Open source algorithms for change detection and monitoring

Time series of satellite images provide ways to detect and monitor changes of the land surface over time and space. This enables us to characterize and understand change process and their impact on terrestrial ecosystems.

We have developed several open source algorithms for detection, monitoring and characterization of change. Our Breaks For Additive Season and Trend (BFAST) algorithm provides functionality for continuous change monitoring, trend analysis and near-real time disturbance detection of any kind of disturbance or change process (from deforestation to drought analysis). This algorithm can be applied to any time series of satellite images.

Tools

More information on the various open source software packages and their corresponding scientific publications can be found here.

Near-real time forest monitoring

Satellite-based monitoring systems are the primary tools for providing near-real time information on newly deforested areas in remote and inaccessible tropical forests. At our lab we focus on combining optical and/or radar satellite time series to improve the detection of forest cover loss in near real time with a probabilistic approach. An R package with functions to apply our near-real time detection approach can be found at https://github.com/jreiche/bayts.

REDD+ Forest monitoring guidance and training materials

GOFC-GOLD, in collaboration with other partners, has developed a range of learning and teaching materials to support REDD+ countries to develop technical capacities for REDD+ monitoring and reporting. These materials include training modules (video lectures + PowerPoint slides) on various RED+ monitoring topics that can be downloaded and are free to use in capacity building settings. The materials also include exercises and country examples, and are available in English, French and Spanish.