Estimation of forest canopy height and above-ground biomass using ICESat full waveform data: a case study in Changbai Mountain, China

2009 ◽  
Author(s):  
Yanqiu Xing ◽  
Lihai Wang
Keyword(s):  
Forest Canopy ◽  
Changbai Mountain ◽  
Canopy Height ◽  
Above Ground Biomass ◽  
Waveform Data ◽  
Ground Biomass ◽  
Full Waveform

Development of a forest canopy height estimation model using GLAS full waveform data over sloping terrain

2018 ◽  
Vol 39 (23) ◽  
pp. 9073-9091
Author(s):  
Jinru Wu ◽  
Xinchuang Wang ◽  
Hebing Zhang ◽  
Fenglian Lu ◽  
Haiming Jiao
Keyword(s):  
Forest Canopy ◽  
Canopy Height ◽  
Estimation Model ◽  
Height Estimation ◽  
Waveform Data ◽  
Full Waveform ◽  
Sloping Terrain

Multi-factor modeling of above-ground biomass in alpine grassland: A case study in the Three-River Headwaters Region, China

2016 ◽  
Vol 186 ◽  
pp. 164-172 ◽  
Author(s):  
Tiangang Liang ◽  
Shuxia Yang ◽  
Qisheng Feng ◽  
Baokang Liu ◽  
Renping Zhang ◽  
...  
Keyword(s):  
Alpine Grassland ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Factor Modeling

LiDAR remote sensing of forest structure

2003 ◽  
Vol 27 (1) ◽  
pp. 88-106 ◽  
Author(s):  
Kevin Lim ◽  
Paul Treitz ◽  
Michael Wulder ◽  
Benoît St-Onge ◽  
Martin Flood
Keyword(s):  
Remote Sensing ◽  
Forest Structure ◽  
Forest Ecosystems ◽  
Canopy Height ◽  
Forest Monitoring ◽  
Light Detection And Ranging ◽  
Lidar Data ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Canopy Volume

Light detection and ranging (LiDAR) technology provides horizontal and vertical information at high spatial resolutions and vertical accuracies. Forest attributes such as canopy height can be directly retrieved from LiDAR data. Direct retrieval of canopy height provides opportunities to model above-ground biomass and canopy volume. Access to the vertical nature of forest ecosystems also offers new opportunities for enhanced forest monitoring, management and planning.

The potential of synthetic aperture radar (SAR) for quantifying the biomass of Australia's woodlands.

2000 ◽  
Vol 22 (1) ◽  
pp. 124 ◽  
Author(s):  
RM Lucas ◽  
AK Milne ◽  
N Cronin ◽  
C Witte ◽  
R Denham
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Strong Relationship ◽  
Carbon Stocks ◽  
Synthetic Aperture ◽  
Above Ground Biomass ◽  
Ground Biomass ◽  
Branch Biomass ◽  
Aperture Radar

The potential of Synthetic Aperture Radar (SAR) for estimating the above ground and component biomass of woodlands in Australia is demonstrated using two case studies. Case Study 1 (In,june; central Queensland) shows that JERS-1 SAR L HH data can be related more to the trunk than the leaf and branch biomass of woodlands. A strong relationship between L HH and above ground biomass is obtained when low biomass pasture sites are included. Case Study I1 (Talwood, southern Queensland) determines that L and P band data can be related both to trunk and branch biomass, due to the similarity in the orientation and size of these scattering elements, and also to total above ground biomass. Saturation of the C. L and P band data occurred at approximately 20-30 Mglha; 60-80 Mglha and 80-100 Mglha. These preliminary results indicate that data from SAR are useful for quantifying changes in carbon stocks resulting from land use change in Australia's woodlands and for applications in rangeland assessment and management. Key words: remote sensing, biomass, woodlands

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