6533b850fe1ef96bd12a82d2
RESEARCH PRODUCT
A comparative analysis of different spatial sampling schemes: Modelling of SSRB data
F. MartinezErnesto Lopez-baezaA. Bodas-salcedoJorge MateuFrancisco Montessubject
Set (abstract data type)PixelComputer scienceSpatial modelGeneral Earth and Planetary SciencesSampling (statistics)Statistical modelSatelliteShortwave radiationImage resolutionRemote sensingdescription
Low spatial resolution satellite sensors provide information over relatively large targets with typical pixel resolutions of hundreds of km2. However, the spatial scales of ground measurements are usually much smaller. Such differences in spatial scales makes the interpretation of comparisons between quantities derived from low resolution sensors and ground measurements particularly difficult. It also highlights the importance of developing appropriate sampling strategies when designing ground campaigns for validation studies of low resolution sensors. We make use of statistical modelling of high resolution surface shortwave radiation budget (SSRB) data to look into this problem. A spatial model that describes the SSRB over a selected region is proposed, and the impact of different sampling schemes in the performance of the model is analysed. Both systematic and random sampling schemes can efficiently represent the full observations set.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2008-02-28 | International Journal of Remote Sensing |