Advances in Vegetation Structure Modelling to Support the Sustainable Development Goals Acquisition through Forest Management
A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Forest Remote Sensing".
Deadline for manuscript submissions: closed (31 May 2023) | Viewed by 32684
Special Issue Editors
Interests: resources and hazards modeling through remote sensing and GIS; land management; LiDAR and multispectral remote sensing; forest management; 3D vegetation structure characterization
Special Issue Information
Dear Colleagues,
The end of this decade represents a new horizon, with pressing challenges for human beings in coming years. Caring for the environment by combating climate change and protecting terrestrial ecosystems are two of the sustainable development goals set out to be achieved in the 2030 Agenda. The achievement of these goals depends directly on sustainable forest management. The development of LiDAR technology, especially airborne laser scanning (ALS), constitutes an important advance in forest management made through remote sensing techniques, due to the possibility of capturing the vegetation’s vertical profile. In recent years, complementary technologies, such as photogrammetry, have arisen to improve vegetation structure modeling due to the availability of LiDAR data from satellite missions such as the Global Ecosystem Dynamics Investigation LiDAR (GEDI) or the Ice, Cloud and Land Elevation Satellite-2 (or ICESat-2). These technological developments have been accompanied by advances in modeling methods, from empirical (parametric and non-parametric statistical approaches) to physical methods, such as Radiative Transfer Models (RTM), especially 3D RTM, which is capable of simulating the LiDAR response.
This Special Issue is aimed at studies covering the application of advanced remote sensing techniques to vegetation structure modeling, with the aim of supporting sustainable forest management. Topics may cover the wide range of variables related to resources and hazard modeling and mapping, such as:
- Wildfire—fuel parameters, fuel model, etc.;
- Dasometry/inventory—height, density, volume, etc.;
- Climate change—carbon stock, CO2 emissions;
- Ecology—biodiversity, pattern analysis, conservation state.
Dr. María Teresa Lamelas
Dr. Dario Domingo
Guest Editors
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Keywords
- Vegetation structure
- Forest fuels
- Forest inventory
- Carbon stock
- Biodiversity
- LiDAR
- Photogrammetry
- Empirical modelling
- RTM
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