Information about the distribution of grass nitrogen (N) concentration is crucial in understanding rangeland vitality and facilitates effective management of wildlife and livestock. A challenge in estimating grass N concentration using remote sensing in savannah ecosystems is that these areas are characterised by heterogeneity in edaphic, topographic and climatic factors. The objective is to te...

In this paper a new non-linear multivariable regression method is presented to investigate the existence of correlation between the central corneal thickness (CCT) and the optic nerve head (ONH) topographic measurements in patients with glaucoma. Specifically, the model is supplied with Heidelberg Retina Tomograph II data including optic nerve head topographic parameters (i.e. disc area, etc) a...

The topographic wetness index (TWI, ln(a/tanβ)), which combines local upslope contributing area and slope, is commonly used to quantify topographic control on hydrological processes. Methods of computing this index differ primarily in the way the upslope contributing area is calculated. In this study we compared a number of calculation methods for TWI and evaluated them in terms of their correl...

Sustainable forest management requires accurate biometric tools to estimate site quality. This is particularly relevant for prescribing adequate silvicultural treatments of planning. The aim this research was incorporate topographic and climatic variables into dominant height growth models patula pine stands improve the estimation stand productivity. Three generalized algebraic difference appro...

Environmental modelling often requires knowledge of the values of certain climatic variables at locations where no such information is available. When this is the case, one must rely on interpolated values derived from climatic data recorded at surrounding locations. The accuracy of the interpolated field, however, can often be critically dependent on the inclusion of additional predictor varia...