Abstract
Emerging as an avant‐garde technique, remote sensing has been widely used in the qualitative and quantitative measurement of forest biophysical parameters for the past decades. As an integral part of global carbon cycle, forest plays a critical role in lessening the concentration of greenhouse gases in the Earth’s atmosphere. Consequently, accurate measurement of forest biomass by remote sensing provides synoptic and high‐temporal information about the status and distribution of forest, which will assist in the better understanding of global carbon cycle, and furthermore, combating climatic and environmental problems ensued by the ever‐increasing greenhouse gases. This article presents a comprehensive literature review about forest biomass estimation in remote sensing and the definitions and methods used to measure forest biomass, it also summaries previous research in forest remote sensing and explores the use of wavelet analysis for forest biomass estimation from satellite imagery.

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