With the development of quantitative remote sensing, scale issues have attracted more and
more the attention of scientists. Research is now suffering from a severe scale discrepancy …

Land surface temperature (LST) retrieved from moderate resolution or downscaled from
coarse thermal infrared (TIR) data is one of key environment parameters. Over the last four …

Urban catchments are typically characterised by high spatial variability and fast runoff
processes resulting in short response times. Hydrological analysis of such catchments …

Satellite remote sensing is an invaluable tool to monitor agricultural resources. However,
spatial patterns in agricultural landscapes vary significantly across the Earth resulting in …

The leaf area index (LAI) and the fraction of photosynthetically active radiation absorbed by
green vegetation (FAPAR) are essential climatic variables in surface process models …

In Mediterranean fire-prone ecosystems, shifts in fire regime as a consequence of global
change could modify the resilience of vegetation communities. In this paper, we aim to …

Traditional image analysis methods are mostly pixel-based and use the spectral differences
of landscape elements at the Earth surface to classify these elements or to extract element …

Spatial heterogeneity is an important characteristic of the land surface. Because multi-
spectral bands are used to describe the land surface, an approach has to be established to …

The scale effect is an important research topic in the field of geography. When aggregating
individual-level data into areal units, encountering the scale problem is inevitable. This …

The intrinsic complexity, variety of concepts and numerous ways to quantify landscape
heterogeneity (LH) may hamper a better understanding of how its components relate to …