| dc.creator | Demetris S., Leonidas L. | en |
| dc.date.accessioned | 2023-01-31T07:53:36Z | |
| dc.date.available | 2023-01-31T07:53:36Z | |
| dc.date.issued | 2019 | |
| dc.identifier | 10.1117/1.JRS.13.034507 | |
| dc.identifier.issn | 19313195 | |
| dc.identifier.uri | http://hdl.handle.net/11615/73212 | |
| dc.description.abstract | In the past, the Defense Meteorological Satellite Program - Operational Linescan System (DSMP/OLS) data have been successfully adjusted based on the presence of vegetation in each pixel. We propose a further adjustment based on radar data obtained by the SeaWinds scatterometer. It is shown that the adjustment results in substantial accuracy gains, measured as increased correlation with the more accurate Visible Infrared Imaging Radiometer Suite data as well as with the existing instances of radiance calibrated DSMP/OLS data. The proposed adjustment is easy to implement. The improvement of the proposed method is particularly significant in arid regions where vegetation is relatively sparse. © 2019 Society of Photo-Optical Instrumentation Engineers (SPIE). | en |
| dc.language.iso | en | en |
| dc.source | Journal of Applied Remote Sensing | en |
| dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072408646&doi=10.1117%2f1.JRS.13.034507&partnerID=40&md5=13c0fd11605af4e6d774a860a3f3fda3 | |
| dc.subject | Meteorological instruments | en |
| dc.subject | Network security | en |
| dc.subject | Remote sensing | en |
| dc.subject | Thermography (imaging) | en |
| dc.subject | Vegetation | en |
| dc.subject | Night time lights | en |
| dc.subject | Optical imaging | en |
| dc.subject | Optical saturation | en |
| dc.subject | Scatterometer data | en |
| dc.subject | urban index | en |
| dc.subject | Urban variability | en |
| dc.subject | Space-based radar | en |
| dc.subject | SPIE | en |
| dc.title | Further adjustment of the Defense Meteorological Satellite Program - Operational Linescan System using radar data | en |
| dc.type | journalArticle | en |