Name
Title | ||
|---|---|---|
Evidential Reasoning Applied to Mapping Regeneration of Forest Stand using Multisource Geospatial Data |
Abstract | ||
|---|---|---|
The provincial inventory of Quebec suffers from a lack of accurate information in the regenerating stands, at a subparcel scale. Moreover, the information contained in the satellite images bands is not sufficient to be used alone to mitigate this issue. We used the Dempster-Shafer Theory (DST), a data fusion method, to incorporate ancillary information coming from biophysical parameters involved in the regeneration potential. We showed that fusing the spectral bands of the SPOT-5 image with the drainage and surface deposit maps best improved the quality of the mapping of deciduous forest stands. Compared to the results obtained with a maximum likelihood classifier, the increase of the overall classification rate was 8.5 % (from 82.75 % to 90.15 %). |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/IGARSS.2008.4779482 | Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International |
Keywords | Field | DocType |
image classification,sensor fusion,vegetation mapping,wind,Canada,Dempster-Shafer Theory,Quebec,SPOT-5 image,ancillary information,biophysical parameters,data fusion method,deciduous forest stands mapping,forest stand mapping regeneration,maximum likelihood classifier,multisource geospatial data,satellite images bands,spectral bands,surface deposit maps,wind direction | Geospatial analysis,Satellite,Computer science,Remote sensing,Sensor fusion,Evidential reasoning approach,Spectral bands,Contextual image classification,Statistical classification,Dempster–Shafer theory | Conference |
Volume | ISBN | Citations |
3 | 978-1-4244-2808-3 | 1 |
PageRank | References | Authors |
0.45 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brice Mora | 1 | 16 | 3.08 |
| Richard Fournier | 2 | 1 | 0.45 |
| Samuel Foucher | 3 | 261 | 30.62 |
| Goze B. Bénié | 4 | 23 | 5.82 |
| Kim Lowell | 5 | 14 | 5.62 |