38.pdf
The aim of this study is to use the original and other ancillary derived features extracted from multitemporal spaceborne interferometric synthetic aperture radar (InSAR) data sets for land cover mapping. For the actual land cover mapping, supervised (statistical maximum likelihood classification) and unsupervised (isodata clustering) classifications have been performed using a) the original InSAR products, b) 14 features and c) the first 3PCs, and the results were compared. Overall, the research indicated that the multitemporal InSAR data sets have a valuable contribution to efficient land cover mapping.
Additional Information
| Field | Value |
|---|---|
| Data last updated | January 29, 2020 |
| Metadata last updated | January 29, 2020 |
| Created | January 29, 2020 |
| Format | application/pdf |
| License | Creative Commons Attribution |
| created | over 4 years ago |
| format | |
| has views | True |
| id | 9653ad16-75b2-44ac-91ee-61d898d15713 |
| last modified | over 4 years ago |
| mimetype | application/pdf |
| on same domain | True |
| package id | b16612ea-4f96-498f-8ce1-3da980798b97 |
| revision id | 76ae87b8-4174-4d0d-ae33-81b565e9fe03 |
| size | 32.9 KiB |
| state | active |
| url type | upload |