A review of remote sensing methods for biomass feedstock production

T. Ahamed, L. Tian, Y. Zhang, K. C. Ting

Research output: Contribution to journalReview articlepeer-review

Abstract

Monitoring and maximization of bioenergy yield from biomass feedstock has recently become a critically important goal for researchers. Remote sensing represents a potential method to monitor and estimate biomass so as to increase biomass feedstock production from energy crops. This paper reviews the biophysical properties of biomass and remote sensing methods for monitoring energy crops for site-specific management. While several research studies have addressed the agronomic dimensions of this approach, more research is required on perennial energy crops in order to maximize the yield of biomass feedstock. Assessment of established methods could lead to a new strategy to monitor energy crops for the adoption of site-specific management in biomass feedstock production. In this article, satellite, aerial and ground-based remote sensing's were reviewed and focused on the spatial and temporal resolutions of imagery to adopt for site-specific management. We have concluded that the biomass yield prediction, the ground-based sensing is the most suitable to establish the calibration model and reference for aerial and satellite remote sensing. The aerial and satellite remote sensing are required for wide converge of planning and policy implementations of biomass feedstock production systems.

Original languageEnglish (US)
Pages (from-to)2455-2469
Number of pages15
JournalBiomass and Bioenergy
Volume35
Issue number7
DOIs
StatePublished - Jul 2011

Keywords

  • Leaf area index
  • Perennial energy crops
  • Remote sensing
  • Satellite imagery
  • Site-specific management
  • Vegetative indices

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Forestry
  • Renewable Energy, Sustainability and the Environment
  • Waste Management and Disposal

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