Since the later part of the 19th Century, tide gauge records indicate that global sea levels have risen with an average rate of 1.7 ± 0.3 mm/yr. Satellite altimetry records indicate that the rate of sea level rise between ...

The chapter presents a new methodology for building adaptive, incremental learning systems for image pattern classification. The systems are based on dynamically evolving fuzzy neural networks that are neural architectures ...

The assessment of the performance of multi-resolution image fusion, or image sharpening methods, is difficult. In the context of binary classification of snow targets in mountainous terrain, fusion methods were applied to ...

An increasing community demand for accurate, user friendly and easily accessible geographic information has lead to the development of online resources to aid in the decision making process (Craig et al, 2002, Green et al, ...

Glacier fluctuations have been recognized as one of the clearest signals of climate variability and change. A change in climate characteristics directly alters the glacier mass balance. The End-Of-Summer-Snowlines (EOSS) ...

This paper explores two different methods for improved learning in multimodular fuzzy neural network systems for classification. It demonstrates these methods on a case study of satellite image classification using 3 ...

Pitcairn Island is a unique case study where the traditional method of land administration is about to be radically changed by the implementation of a new tenure system. The 2000 Land Tenure Reform Ordinance intends to ...