Estimating Bioenergy and Carbon Stocks within Forests Using Remote Sensing Data
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: closed (25 December 2022) | Viewed by 4978
Special Issue Editors
2. Centre for the Research and Technology of Agro-Environmental and Biological Sciences, CITAB, University of Trás-os-Montes and Alto Douro, UTAD, Quinta de Prados, 5000-801 Vila Real, Portugal
Interests: biomass and carbon mapping; spatial modeling, GIS and remote sensing; forest inventory and management; silviculture and biodiversity
Interests: remote sensing; laser scanning; precision forestry; forest management; forest health
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Forests are the world’s largest source of above-ground living biomass (AGB) used for energy production, as part of international energy and climate change policies, and contribute a large fraction to the global terrestrial CO2 sink. Measurements of biomass and carbon stocks are essential for quantifying potential bioenergy, for monitoring forests’ growth/dynamics, and for studying the role of forest ecosystems in the biosphere–atmosphere interactions, including the ones in the global carbon cycle.
Remote sensing has been one of the technological tools with the greatest growth in forestry research in the last decades, being used for mapping, cartography, and incorporated in forest inventories by the indirect measurement of biophysical variables and modelling (e.g., Dbh, height, canopy cover, density, LAI, vegetation indices). The use of optical, radar and lidar remote sensing data, acquired by different platforms (terrestrial, space-borne, airborne, unmanned aerial vehicles), combined with different fusion techniques, as well as geostatistical and modelling methods, makes it possible to obtain increasingly rigorous estimates of biomass and carbon stocks, with high spatial and temporal resolution.
Abundant imagery data from satellites (e.g., Landsat, Sentinel, MODIS) with global coverage is available free of charge to the public, and the equipment to obtain high-resolution data at local/regional level (e.g., UAVs and cameras) are increasingly diverse and affordable on the market, making possible their use by researchers for a variety of studies.
This Special Issue aims to gather contributions exploring the most recent remote sensing approaches integrating data collected by different sensors/platforms, ground observations, laboratory analysis, and combining the latest processing techniques to quantify woody biomass for energy purposes, carbon stocks, and to evaluate the ecological aspects of biomass exploitation in forests and woodlands.
We would like to invite all research teams dealing with biomass and carbon stocks mapping and assessment to share their most recent results in this Special Issue: Estimating Bioenergy and Carbon stocks within Forests Using Remote Sensing Data.
Dr. Helder Viana
Dr. Krzysztof Stereńczak
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
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Keywords
- Woody vegetation above-ground biomass
- Forest inventory, allometry and data modeling
- Biomass and carbon stocks mapping
- Forest growth and monitoring
- Ecology and biomass for bioenergy
- Satellite data analysis and photogrammetry
- Digital image processing
- Multispectral and hyperspectral
- Lidar/radar processing
- Unmanned aerial vehicles (UAVs)
- Multi-source data fusion and integration for forest modelling
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