portal.guldu.uz

Abstract: Global environmental changes are currently altering key ecosystem services that soils provide.
Therefore, it is necessary to have up to date soil information on local, regional and global scales to
monitor the state of soils and ensure that these ecosystem services continue to be provided. In this
context, digital soil mapping (DSM) aims to provide and advance methods for data collection and analyses
tailored towards detailed large-scale mapping and monitoring of soil properties. In particular, remote and
proximal sensing methodologies hold considerable potential to facilitate soil mapping at larger temporal
and spatial scales as feasible with conventional soil mapping methods [Mulder, 2013]. Existing remote
and proximal sensing methods support three main components in DSM: (1) Remote sensing data support
the segmentation of the landscape into homogeneous soil-landscape units whose soil composition can be
determined by sampling.