Estimation of Surface Temperature and Rainfall in Ghana
Bibliographic Data
| ID | 9849656 |
|---|---|
| Authors | V C K Kakane (University of Ghana, corresponding author), Henrik Søgaard (Geocenter Denmark) |
| Year | 1997 |
| Volume | 97 |
| Issue | 1 |
| Pages | 76-85 |
| Publication date | 1997-01-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Geografisk Tidsskrift-Danish Journal of Geography (JOURNAL) |
| Journal identifiers | ISSN: 0016-7223 • E-ISSN: 1903-2471 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00167223.1997.10649394 |
| OpenAlex | W1143642787 |
| Language | EN |
| References cited | 7 |
Geografisk Tidsskrift, Danish Journal of Geography 97: 76–85, 1997. Daily Meteosat images for 1989 have been analysed for the purpose of mapping surface temperature and rainfall in Ghana. The images in the time-series are georeferenced and the maximum value composite (MVC) technique is applied to the temperature calibrated IR-channel images after a cloud screening of the images. The cloud covered areas are outlined and traced using the Meteosat visible channels. Stratiform clouds are detected using surface albedo while cumuliform clouds are detected based on a technique calculating the spatial variability within a 5 pixel by 5 pixel window around each point in the image. The cloud covered parts of the scene are then delimitated by comparing the normal albedo values and the spatial variance in albedo. The paper then discusses how the outlined procedure can be applied in an environmental monitoring context. For each of the months June to November 1989 the mean monthly rainfall amounts at 35 meteorological stations are plotted against the mean surface temperature. It is found that apart from the month of June statistical significant linear relationships are obtained and that the scattering around the line is decreasing for increasing sampling length
Albedo (alchemy · Context (archaeology · Geography · Georeference · Meteorology · Physical geography · Pixel · Remote sensing · Sampling (signal processing · Computer Science · Environmental Science · Remote Sensing and LiDAR Applications · Remote Sensing in Agriculture · Satellite Image Processing and Photogrammetry
| Citation velocity | historical |
|---|---|
| Highly cited | No |