landscape analysis

Remote Sensing for Forest Carbon: Challenges and Opportunities

Remote sensing (RS) can improve forest carbon measurement and monitoring, but key barriers remain. Based on insights from 40+ stakeholders, this report outlines challenges to RS adoption and presents seven pathways to strengthen transparency, access, and reliability in MMRV.

Key takeaways

  • Understand governance, data, and capacity gaps limiting RS adoption

  • Explore stakeholder-backed priorities to improve RS-based MMRV

  • Learn how a shared consortium could drive standards, trust, and progress

landscape analysis

Remote Sensing for Forest Carbon: Challenges and Opportunities

Remote sensing (RS) can improve forest carbon measurement and monitoring, but key barriers remain. Based on insights from 40+ stakeholders, this report outlines challenges to RS adoption and presents seven pathways to strengthen transparency, access, and reliability in MMRV.

Key takeaways

  • Understand governance, data, and capacity gaps limiting RS adoption

  • Explore stakeholder-backed priorities to improve RS-based MMRV

  • Learn how a shared consortium could drive standards, trust, and progress

landscape analysis

Remote Sensing for Forest Carbon: Challenges and Opportunities

Remote sensing (RS) can improve forest carbon measurement and monitoring, but key barriers remain. Based on insights from 40+ stakeholders, this report outlines challenges to RS adoption and presents seven pathways to strengthen transparency, access, and reliability in MMRV.

Key takeaways

  • Understand governance, data, and capacity gaps limiting RS adoption

  • Explore stakeholder-backed priorities to improve RS-based MMRV

  • Learn how a shared consortium could drive standards, trust, and progress