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Spaceborne PolInSAR and ground-based TLS data modeling for characterization of forest structural and biophysical parameters

  • Published:2018-08 Issue: Volume:11 Page:241-253
  • ISSN:2352-9385
  • Container-title:Remote Sensing Applications: Society and Environment
  • language:en
  • Short-container-title:Remote Sensing Applications: Society and Environment

Author:

Kumar Shashi,Sara Raghavendra,Singh Jenia,Agrawal Shefali,Kushwaha Satya P.S.

Funder

Indian Space Research Organisation

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geography, Planning and Development

Reference74 articles.

1. Modeling diameter distributions in radiata pine plantations in Spain with existing countrywide LiDAR data;Arias-Rodil;Ann. For. Sci.,2018

2. Vegetation height estimation precision with compact PolInSAR and homogeneous random volume over ground model;Arnaubec;IEEE Trans. Geosci. Remote Sens.,2014

3. Forest canopy structural complexity and light absorption relationships at the subcontinental scale;Atkins;J. Geophys. Res. Biogeosci.,2018

4. Geostatistical estimation of forest biomass in interior Alaska combining Landsat-derived tree cover, sampled airborne lidar and field observations;Babcock;Remote Sens. Environ.,2018

5. A simple RVoG test for PolInSAR data;Ballester-Berman;IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens.,2015

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