articleInternational Journal of Digital EarthNov 21, 2014Closed access

A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

Michigan State University · University of Hawaiʻi at Mānoa · +2 more institutions

Indexed incrossrefdoaj

Abstract

Remote sensing-based methods of aboveground biomass (AGB) estimation in forest ecosystems have gained increased attention, and substantial research has been conducted in the past three decades. This paper provides a survey of current biomass estimation methods using remote sensing data and discusses four critical issues – collection of field-based biomass reference data, extraction and selection of suitable variables from remote sensing data, identification of proper algorithms to develop biomass estimation models, and uncertainty analysis to refine the estimation procedure. Additionally, we discuss the impacts of scales on biomass estimation performance and describe a general biomass estimation procedure.…

Citation impact

831
total citations
FWCI
20.09
Percentile
100%
References
256
Citations per year

Authors

6

Topics & keywords

Keywords
  • Remote sensing
  • Lidar
  • Biomass (ecology)
  • Environmental science
  • Interferometric synthetic aperture radar
  • Synthetic aperture radar
  • Estimation
  • Canopy
UN Sustainable Development Goals
  • Life in Land
No related works found for this paper.