Name
Abstract | ||
|---|---|---|
This paper presents a new approach to the exploitation of polarimetric and interferometric (POLINSAR) data for the quantitative estimation of the forest height and, in general, of forest parameters. Our procedure aims to match simulations from the coherent scattering model PolSARProSim and real measurables. First, a parametric model analysis is used to study the dependence of the interferometric coherence versus forest height, canopy density and terrain slope. Secondly, we show the separation of scattering phase centers on PALSAR data acquired over the Amazon forest. Finally, we perform a preliminary forest height inversion based on the sensitivity of coherence versus forest height. The same procedure can be applied to a compact polarimetric (CP) data-set. In this case, we introduce a full POLINSAR (FP) reconstruction algorithm based on symmetry properties of geophysical media. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IGARSS.2008.4779343 | Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International |
Keywords | Field | DocType |
geophysical techniques,radar interferometry,radar polarimetry,remote sensing by radar,synthetic aperture radar,vegetation,Amazon forest,PALSAR model analysis,PALSAR observations,POLINSAR reconstruction algorithm,PolSARProSim,South America,canopy density,coherent scattering model,compact polarimetric data-set,data acquisition,forest biomass retrieval,forest height estimation,geophysical media,polarimetric-interferometric synthetic aperture radar,terrain slope,PALSAR,POLINSAR,compact polarimetry,interferometry,polarimetry | Data modeling,Parametric model,Polarimetry,Synthetic aperture radar,Computer science,Remote sensing,Terrain,Coherence (physics),Reconstruction algorithm,Parametric statistics | Conference |
Volume | ISBN | Citations |
3 | 978-1-4244-2808-3 | 2 |
PageRank | References | Authors |
0.40 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Marco Lavalle | 1 | 71 | 13.28 |
| Domenico Solimini | 2 | 65 | 15.10 |
| E. Pottier | 3 | 1148 | 143.14 |
| Desnos, Y.-L. | 4 | 6 | 1.55 |