Please use this identifier to cite or link to this item:
Title: Review of the use of remote sensing for biomass estimation to support renewable energy generation
Contributor(s): Kumar, Lalit (author)orcid ; Sinha, Priyakant (author); Taylor, Subhashni (author)orcid ; Alqurashi, Abdullah (author)
Publication Date: 2015
DOI: 10.1117/1.JRS.9.097696
Handle Link:
Abstract: The quantification, mapping and monitoring of biomass are now central issues due to the importance of biomass as a renewable energy source in many countries of the world. The estimation of biomass is a challenging task, especially in areas with complex stands and varying environmental conditions, and requires accurate and consistent measurement methods. To efficiently and effectively use biomass as a renewable energy source, it is important to have detailed knowledge of its distribution, abundance, and quality. Remote sensing offers the technology to enable rapid assessment of biomass over large areas relatively quickly and at a low cost. This paper provides a comprehensive review of biomass assessment techniques using remote sensing in different environments and using different sensing techniques. It covers forests, savannah, and grasslands/rangelands, and for each of these environments, reviews key work that has been undertaken and compares the techniques that have been the most successful.
Publication Type: Journal Article
Source of Publication: Journal of Applied Remote Sensing, 9(1), p. 1-28
Publisher: SPIE: International Society for Optical Engineering
Place of Publication: United States of America
ISSN: 1931-3195
Field of Research (FOR): 090903 Geospatial Information Systems
090905 Photogrammetry and Remote Sensing
050206 Environmental Monitoring
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Statistics to Oct 2018: Visitors: 478
Views: 707
Downloads: 0
Appears in Collections:Journal Article
School of Science and Technology

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

Page view(s)

checked on Apr 21, 2019
Google Media

Google ScholarTM







Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.