Abstract
In remote sensing there is always a tradeoff between temporal resolution and spatial resolution in satellite data. This paper describes a method to generate supplementary higher-resolution information based on geostatistical simulation, using low-resolution images as secondary data. The simulation is carried out as a collocated cosimulation using a common sequential Gaussian simulation scheme. Application of the geostatistical scaling laws confirms the resolutions for the two different data scales. The laws can be used to derive the correlation structures during up- and downscaling for the parameter analysed (Normalised Difference Vegetation Index - NDVI).
| Original language | English |
|---|---|
| Title of host publication | GIS and Spatial Analysis |
| Volume | 1 and 2 |
| Publication date | 2005 |
| Pages | 133-138 |
| ISBN (Print) | 0-9734220-1-7 |
| Publication status | Published - 2005 |
| Externally published | Yes |
| Event | Annual Conference of the International-Association-for-Mathematical-Geology 2005 - Toronto, Canada Duration: 21 Aug 2005 → 26 Aug 2005 |
Conference
| Conference | Annual Conference of the International-Association-for-Mathematical-Geology 2005 |
|---|---|
| Country/Territory | Canada |
| City | Toronto |
| Period | 21/08/2005 → 26/08/2005 |