Advances in classification for land cover mapping using SPOT HRV imagery

High-resolution data from the HRV (High Resolution Visible) sensors onboard the SPOT-1 satellite have been utilized for mapping semi-natural and agricultural land cover using automated digital image classification algorithms. Two methods for improving classification performance are discussed. The first technique involves the use of digital terrain information to reduce the effects of topography on spectral information while the second technique involves the classification of land-cover types using training data derived from spectral feature space. Test areas in Snowdonia and the Somerset Levels were used to evaluate the methodology and promising results were achieved. However, the low classification accuracies obtained suggest that spectral classification alone is not a suitable tool to use in the mapping of semi-natural cover types

Kronos: AJava-Based Software System for the Processing and Retrieval of Large Scale AVHRR Data Sets 5

At regional scales, satellite-based sensors are the primary source of information to study the earth's environment, as they provide the needed dynamic temporal view of the earth's surface. Raw satellite orbit data have to be processed and mapped into a standard projection to produce multitemporal data sets which can then be used for regional or global earth science studies. In this paper, we describe a software system Kronos for the generation of custom-tailored data products from the Advanced Very High Resolution Radiometer (AVHRR) sensor. Kronos allowsthegenerationofa rich set of products that can be easily speci ed through a Java interface by scientists wishing to carry out earth system modeling or analysis based on AVHRR Global Area Coverage (GAC) data. Kronos is based on a exible methodology and consists of four major components: ingest and preprocessing, indexing and storage, searchand processing engine, and a Java interface. We illustrate the power of our methodology by including a few special data products generated by Kronos

Land panel report

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