Name
Title | ||
|---|---|---|
Observation of vegetation vertical structure and disturbance using L-band InSAR over the Injune region in Australia |
Abstract | ||
|---|---|---|
Knowledge of the global biomass distribution is essential in monitoring the carbon cycle budget and the climate change. In addition to limited field inventory data, researchers have been developing remote sensing techniques (e.g., LiDAR, SAR backscatter, InSAR phase and/or correlation magnitude) to derive biomass maps. Most of the techniques seek for empirical relationships between biomass and remote sensing measures; however, lack of a direct physical interpretation of the measurement constrains the utility and understanding of remote sensing data sensitivity to the forest characteristics of interest. In this paper, we explore the use of InSAR correlation magnitude to invert for the tree height through use of a physical scattering model [1]. The inversion algorithm, along with the estimates of the tree heights, will be cross-compared with itself over our test area: the Injune region (ILCP) in Australia. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/IGARSS.2012.6351214 | IGARSS |
Keywords | Field | DocType |
forest characteristics,remote sensing techniques,sar backscatter,synthetic aperture radar,inversion algorithm,carbon cycle budget,test area,limited field inventory data,physical scattering model,tree height,remote sensing data sensitivity,direct physical interpretation,remote sensing by radar,australia,remote sensing measures,optical radar,geophysical image processing,correlation,injune region,insar,tree heights,biomass maps,insar phase magnitude,radar interferometry,global biomass distribution,vegetation mapping,lidar,vegetation,measurement constrains,vegetation vertical structure,insar correlation magnitude,climate change,thermal noise,decorrelation,noise,biomass,backscatter | Meteorology,Magnitude (mathematics),Vegetation,Interferometric synthetic aperture radar,Climate change,Synthetic aperture radar,Inversion (meteorology),Computer science,Remote sensing,Backscatter,Lidar | Conference |
ISSN | ISBN | Citations |
2153-6996 E-ISBN : 978-1-4673-1158-8 | 978-1-4673-1158-8 | 0 |
PageRank | References | Authors |
0.34 | 1 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Lei | 1 | 9 | 6.70 |
| Paul Siqueira | 2 | 128 | 29.52 |
| Daniel Clewley | 3 | 110 | 11.71 |
| Richard M. Lucas | 4 | 98 | 14.60 |