Spatial attributes of AVHRR imagery for environmental monitoring
- 1 January 1992
- journal article
- research article
- Published by Taylor & Francis in International Journal of Remote Sensing
- Vol. 13 (2) , 193-208
- https://doi.org/10.1080/01431169208904035
Abstract
Spatial analysis of Advanced Very High Resolution Radiometer (AVHRR) data at Global Area Coverage (GAC) and High Resolution Picture Transmission (HRPT) resolution shows that structural information is detectable across a range of scales and that different biomes exhibit different detectable spatial characteristics. The spatial patterns observed in GAC and HRPT data are similar at coarse resolutions. Differences between the two are observed where point phenomena occur, and where scene objects are generally linear. The undersampling in GAC data generation can cause artificial contiguity and artificial disunity to appear in the image of any scene. The spatial structure observed in GAC image data must therefore be considered unreliable, at least at the scale of the GAC AVHRR resolution-cell size. However, the use of the spatial domain in studies of surface phenomena operating at scales greater than that of the resolution-cell size are unlikely to be limited by the undersampling effects. Indeed, the spatial temporal evolution of structure in AVHRR images may provide important indicators of regional environmental change.Keywords
This publication has 15 references indexed in Scilit:
- Effects of the dry season on the vegetation canopy of some river basins of West Africa as deduced from NOAA-AVHRR dataHydrological Sciences Journal, 1990
- Limitations to the identification of spatial structures from AVHRR dataInternational Journal of Remote Sensing, 1990
- Spatial degradation of satellite dataInternational Journal of Remote Sensing, 1989
- Autocorrelation and regularization in digital images. II. Simple image modelsIEEE Transactions on Geoscience and Remote Sensing, 1989
- AVHRR for monitoring global tropical deforestationInternational Journal of Remote Sensing, 1989
- Autocorrelation and regularization in digital images. I. Basic theoryIEEE Transactions on Geoscience and Remote Sensing, 1988
- The semivariogram in remote sensing: An introductionRemote Sensing of Environment, 1988
- EditorialInternational Journal of Remote Sensing, 1986
- Analysis of the phenology of global vegetation using meteorological satellite dataInternational Journal of Remote Sensing, 1985
- Spatial resolution of remotely sensed imagery A review paperInternational Journal of Remote Sensing, 1983