Light detection and ranging and hyperspectral data for estimation of forest biomass: a review

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This review addresses the status of hyperspectral data, LiDAR data, and the fusion of these two data sources for forest biomass estimation in the last decade.

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22 p.

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Man, Qixia; Dong, Pinliang; Guo, Huadong; Liu, Guang & Shi, Runhe December 18, 2014.

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This review is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Arts and Sciences to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 14 times . More information about this review can be viewed below.

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Description

This review addresses the status of hyperspectral data, LiDAR data, and the fusion of these two data sources for forest biomass estimation in the last decade.

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22 p.

Source

  • Journal of Applied Remote Sensing, 2014. Bellingham, WA: Society of Photo Optical Instrumentation Engineers

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  • Publication Title: Journal of Applied Remote Sensing
  • Volume: 8
  • Page Start: 1
  • Page End: 21

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  • December 18, 2014

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  • Aug. 17, 2016, 10:44 p.m.

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Man, Qixia; Dong, Pinliang; Guo, Huadong; Liu, Guang & Shi, Runhe. Light detection and ranging and hyperspectral data for estimation of forest biomass: a review, review, December 18, 2014; Bellingham, WA. (digital.library.unt.edu/ark:/67531/metadc861690/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Arts and Sciences.