Abstract Remote-sensing satellite images provided rapid and continuous spectral spatial information of the land surface in Sougia River catchment by identifying major changes that have taken place over 20 years (1995–2015). Vegetation indices (VIs) normalized difference vegetation index (NDVI), enhanced (EVI) leaf area were derived for monitoring mapping variations cover. The quantified decreas...

Digital maps of road networks are a vital part digital cities and intelligent transportation. In this paper, we provide comprehensive review on extraction based various remote sensing data sources, including high-resolution images, hyperspectral synthetic aperture radar light detection ranging. This is divided into three parts. Part 1 provides an overview the existing acquisition techniques for...

Object-oriented procedures are gaining increasing importance in the theory and practice of the analysis of remote sensing data. Unlike pixel-based procedures, object-oriented procedures are based on a priori defined objects or segmentation of regions. A priori defined objects can be derived e.g. from the ATKIS. Using computer-assisted segmentation, the picture is divided into more or less homog...

This paper reviewed major remote sensing image classification techniques, including pixel-wise, sub-pixel-wise, and object-based image classification methods, and highlighted the importance of incorporating spatio-contextual information in remote sensing image classification. Further, this paper grouped spatio-contextual analysis techniques into three major categories, including 1) texture extr...

This paper uses the Special Issue of the International Journal of Remote Sensing on Remote Sensing of the Coastal Marine Environment to highlight recent advances in knowledge of remote sensing of the coastal zone and to define a series of priorities where future research into the application should be addressed. Advances were identified in the benefit of high spatial and spectral resolution dat...