Abstract
Forests cover around one-third of the global land cover (4.03 billion hectares) (FAO 2010; Pan et al. 2013) and are among the richest ecosystems in terms of biological and genetic diversity (Köhl et al. 2015). Forests are considered as reservoirs of carbon, and it is stored as biomass (phytomass). The total amount of above- and belowground organic matter of both living and dead plant parts is called biomass (FAO 2005). Net primary productivity (NPP) is majorly accumulated as biomass. Around two-thirds (262.1 PgC) of the global terrestrial biomass is stored by the tropical forests (Pan et al. 2013; Negrón-Juárez et al. 2015). Therefore, forests act as one of the keystones of the global carbon cycle and play a vital role in designing the mitigating strategies for climate change and reducing the emission of greenhouse gases. Hence, forest biomass estimation is useful in quantifying the carbon stock, carbon emissions due to forest degradation and disturbances, carbon budget, productivity, forest planning and management and policy-making (Caputo 2009). Biomass monitoring in regular interval is utmost necessary for understanding the nature (source/sink) of the forest (Kushwaha et al. 2014). In addition, forests are vital sources of livelihood and economic development of any country (Köhl et al. 2015). Forest ecosystems offer numerous goods (timber, fodder, food, etc.) and ecological services (MEA 2005).
Keywords
- Estimating Forest Biomass
- Carbon Stocks
- Radio Detection And Ranging (RADAR)
- LiDAR Data
- Light Detection And Ranging (LiDAR)
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Acknowledgements
The authors wish to acknowledge the Forest Department, Government of Uttarakhand, India, and field staff of Barkot Flux Research Site for their field support. The authors are thankful to NSIDC for providing the ICESat/GLAS data.
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Nandy, S., Ghosh, S., Kushwaha, S.P.S., Senthil Kumar, A. (2019). Remote Sensing-Based Forest Biomass Assessment in Northwest Himalayan Landscape. In: Navalgund, R., Kumar, A., Nandy, S. (eds) Remote Sensing of Northwest Himalayan Ecosystems. Springer, Singapore. https://doi.org/10.1007/978-981-13-2128-3_13
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