Forest Biomass Assessment using EO data - 😷 POSTPONED

Forest Biomass Assessment using EO data Forest Biomass Assessment using EO data
  • Contact

    ISRO
    Indian Institute of Remote Sensing

  • Keywords

    Remote Sensing, Forestry, India

  • Working language

    English

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  • Updated on 2020-03-24 10:59:00

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Forests sequester a large amount of carbon and play a crucial role in the global climate system. Quantification of forest biomass is, thus, vital for carbon budget accounting, carbon flux monitoring and for understanding the forest ecosystem response to climate change. Estimation of the forest biomass/carbon stocks not only contributes in Reducing Emissions from Deforestation and forest Degradation (REDD) programme but also in the sustainable management of the forest.

Remotely sensed data integrated with forest inventories have become an effective approach to estimate forest biomass/carbon stocks. The role of space technology has been clearly emphasized in mapping and monitoring applications in the context of United Nations REDD+ and Sustainable Development Goals (SDGs) target 15.2. With the development of new sensors, improved spatial, spectral, radiometric, and temporal resolutions, EO data can play a significant role in mapping and monitoring of forest biomass/carbon. Better data integration approaches are also required for accurate and spatially explicit estimations of forest biomass/carbon.

The international short course on “Forest Biomass Assessment using Earth Observation Data” has been designed to expose the course participants on the use of RS-based approaches for mapping forest biomass/carbon stocks via integration of EO data, field inventory data, and models. The course duration is one week and will comprise of lectures, practical and field excursion.

Target Participants

The target participants of the course are Foresters, Scientists, Academicians, Professionals, Researcher scholars and Students from the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) countries viz., Bhutan, Bangladesh, India, Myanmar, Nepal, Thailand, and Sri Lanka.

Number of Participants

25 participants representing BIMSTEC countries.