This page displays prototype products EOG developed for VNL analysis on Africa.
Auto-Correlation Function (ACF) is a power tool to explore the intrinsic temporal structure of data series. EOG has developed techniques to explore and classify different types of ACF behaviors.
Finding the minimum and maximum radiance from the whole monthly DNB average radiance series.
Finding the average month with minimum/maximum radiance in a year.
The VNL 2019 background mask can be used to excluded area without meaningful light signal.
| KML | KML file showing detailed ACF analysis process covering center Accra. | |
| ACF Raster Image | Multiband raster image showing first 16 lags of the ACF profile. | |
| ACF Classification | Single band raster image showing the rule-based classification result of ACF for each grid cell. | |
| Min Radiance | Minimum radiance found in all monthly composite for each grid cell. | |
| Max Radiance | Maximum radiance found in all monthly composite for each grid cell. |
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| Min Month | Average month with minimum radiance for each grid cell. | |
| Max Month | Average month with maximum radiance for each grid cell. | |
| Lit Area Mask | Mask for excluding non-lit area. |
| KML | KML file showing detailed ACF analysis process covering center Nairobi. |
|
| ACF Raster Image | Multiband raster image showing first 16 lags of the ACF profile. |
|
| ACF Classification | Single band raster image showing the rule-based classification result of ACF for each grid cell. |
|
| Min Radiance | Minimum radiance found in all monthly composite for each grid cell. |
|
| Max Radiance | Maximum radiance found in all monthly composite for each grid cell. |
|
| Min Month | Average month with minimum radiance for each grid cell. |
|
| Max Month | Average month with maximum radiance for each grid cell. |
|
| Lit Area Mask | Mask for excluding non-lit area. |