International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Open Access | Double Blind Reviewed

ISSN: 2319-7064




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Review Papers | Geoinformatics | India | Volume 10 Issue 4, April 2021


Application of Remote Sensing for Above-Ground Biomass Estimation

Harsimran Singh Sodhi


Abstract: Forests are considered carbon reservoirs and plays a critical role in modeling carbon balance. The total amount of above-ground and below-ground organic matter of plant parts is called biomass. The forest aboveground biomass (AGB) estimation is important for climate change mitigation programs. Remote sensing (RS) based AGB estimation methods have gained importance and substantial research has been conducted in the past thirty years. This review paper provides a survey of aboveground biomass estimation methods using RS and demonstrates the benefits of RS over traditional methods. Optical data, Radio Detection and Ranging (RADAR), and Light Detection and Ranging (LIDAR) systems are the primary sources for AGB estimation. The literature review demonstrates the importance of biomass, description of various methods used for above-ground biomass estimation, and also reviews various attempts made by Indian researchers for estimating aboveground biomass using RS. This review has indicated the limitations of using single sensor data and the importance of integrating multi-sensor data to produce accurate results. More research is needed to reduce the data saturation problem through the use of advanced image processing technologies.


Keywords: aboveground biomass, LIDAR, Optical, RADAR, remote sensing


Edition: Volume 10 Issue 4, April 2021,


Pages: 182 - 187


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How to Cite this Article?

Harsimran Singh Sodhi, "Application of Remote Sensing for Above-Ground Biomass Estimation", International Journal of Science and Research (IJSR), Volume 10 Issue 4, April 2021, pp. 182-187, https://www.ijsr.net/get_abstract.php?paper_id=SR21403150310



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