Name
Title | ||
|---|---|---|
LARGE-scale fine-resolution products of forest disturbance using new approaches from spacborne sar interferometry. |
Abstract | ||
|---|---|---|
Spaceborne SAR interferometry (InSAR) has the potential of detecting forest change on a global scale with fine (meter-level) spatial resolution as well as on a monthly/weekly basis regardless of day or night. This is significant to characterize the land-use change and its impact on climate change. In this paper, both single-pass and repeat-pass SAR interferometry from spaceborne sensors are combined in order to detect and quantify (with Normalized RMSE ≤ 30%) forest disturbance at a large scale (dozens of kilometers) however with a fine spatial resolution (u003c 1 hectare) based on two newly developed approaches. The single-pass InSAR approach is not only able to detect forest disturbance but also capable of characterizing meter (or even sub-meter) level change of forest phase-center (mean) height due to forest growth and/or degradation. These methods are extensively validated with the past and current spaceborne single-pass and repeat-pass InSAR missions (i.e. JAXAu0027s ALOS-1, ALOS-2 and DLRu0027s TanDEM-X) over subtropical forests in Australia as well as tropical forests in Brazil. Such techniques also serve as observing prototypes for the fusion of the future spaceborne InSAR missions (such as NASA-ISROu0027s NISAR and DLRu0027s TanDEM-L). |
Year | Venue | Field |
|---|---|---|
2017 | IGARSS | Single pass,Fine resolution,Climate change,Interferometric synthetic aperture radar,Computer science,Remote sensing,Interferometry,Metre (music),Image resolution |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yang Lei | 1 | 9 | 6.70 |
| Robert N. Treuhaft | 2 | 3 | 1.87 |
| Michael Keller | 3 | 17 | 4.38 |
| Richard Lucas | 4 | 104 | 9.04 |
| Paul Siqueira | 5 | 128 | 29.52 |
| Michael Schmidt | 6 | 43 | 9.74 |