Since the advent of plant and animal domestication, humans have been alternating the land
cover to satisfy their needs. In many develo** countries, the forest patterns have been …

Significant land-use changes in North Dakota have been reported and are widespread over
the entire state. Such changing patterns may portend localized impairment to agricultural …

Spatial causal effects on water quality are essential in identification of vulnerable
watersheds. Modelling landuse variables is an effective method of projecting localized …

Classification of hyperspectral images is an important step of image interpretation from high
spatial resolution imagery. Different studies demonstrate that spatial features can provide …

This study aimed at opening discussions concerning new ideas of suggesting sustainable
scenario based on the principle of an integrated spatial development ring between urban …

Image classification in Remote Sensing and Geographic Information Systems (GIS)
containing various land-cover classes is essential for efficient and sustainable land-use …

Land-use change is a predictable and principal driving force of potential environmental
changes on all spatial and temporal scales. A land-use change model is a tool that supports …

Due to the changesin land use that is done mostly by human activities, changedetection of
landuse and assessment of their environmental impact isessential for future planning and …

CycleGAN, a deep learning model for image conversion tasks is an extension of the Pix2Pix
architecture [1] offering cycle consistency loss that offers image-to-image translation where …

Technological advancements and miniaturization have made it possible for Unmanned
Aerial Systems (UAS) to perform a diverse range of tasks. UAS are being used in various …