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The paper describes the use of geostatistical methods for the analysis of multitemporal sets of surface parameters as derived from AVHRR data. Through the retrieval of semi-variograms for varying grid-cell sizes and directions, the spatial variability of the given surface parameters is described. By fitting models to the experimental semi-variograms, parameters such as the range and the sill may be retrieved in an consistent, reliable and automatic way. While the systematic analysis of images allows for the description of the spatial distribution of these parameters, the analysis of multi-temporal data sets results in the description of their temporal evolution. The paper presents the methodology and results obtained for a multi-year set of HRPT data. It shows the difference in scale, strength and cyclic behaviour of the spatial variability to be expected from different surface parameters.

Additional information

Authors: VOGT J V, JRC Ispra (IT);VERSTRAETE M M, JRC Ispra (IT)
Bibliographic Reference: Paper presented: International Geoscience and Remote Sensing Symposium (IGARSS '94), Pasadena (US), August 8-12, 1994
Availability: Available from (1) as Paper EN 38371 ORA
Record Number: 199410855 / Last updated on: 1994-11-28
Original language: en
Available languages: en
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