Megacities have evolved at an unprecedented rate under the pressure of urban population
growth and economic development, particularly in the developing countries. For instance …

Landscape spatial pattern is dependent not only on interacting physiographic and
physiological processes, but also on the temporal and spatial scales at which the resulting …

In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …

Monitoring vegetation dynamics is fundamental for improving Earth system models and for
increasing our understanding of the terrestrial carbon cycle and the interactions between …

Remote sensing data help in mapping land resources, especially in mountainous areas
where accessibility is limited. In such areas, land degradation is a main concern. Land is …

Land use and land cover (LULC) mapping is very important for evaluation and management
of natural resources. Classification of remote sensing data in mountainous and other …

Urban areas are the most dynamic region on earth. Their size has been constantly
increased during the past and this process will go on in the future. Since there is no standard …

The number of ground cover classes for which proportions estimates can be derived by
application of spectral mixture modelling is constrained by the dimensionality of the data …

Forest growing stock volume is a crucial indicator for assessing forest resources. However,
contemporary machine learning models used in estimating forest growing stock volume …

The intrinsic characteristics of agriculture make remote sensing an ideal technique for its
monitoring and management (Chen et al., 2004). These characteristics include:(a) …