urbanization and population growth along with an increase in the environmental pollution resulting from human activities which have dramatically changed the green space and land cover have been key factors in the sustainable development of land and the management of land use. to collect reliable data required for providing land cover maps as well as for investigating the environment, remote sen...

Image fusion refers to the acquisition, processing and synergistic combination of information provided by various sensors or by the same sensor in many measuring contexts. The aim of this survey paper is to describe three typical applications of data fusion in remote sensing. The first study case considers the problem of the synthetic aperture radar (SAR) interferometry, where a pair of antenna...

Remote sensing techniques can be used to monitor water quality parameters (i.e., suspended sediments (turbidity), chlorophyll, and temperature). Optical and thermal sensors on boats, aircraft, and satellites provide both spatial and temporal information needed to monitor changes in water quality parameters for developing management practices to improve water quality. Recent and planned launches...

Information of spatial and temporal variations of soil quality (soil properties) is required for various purposes of sustainable agriculture development and management. Traditionally, soil quality characterization is done by in situ point soil sampling and subsequent laboratory analysis. Such methodology has limitation for assessing the spatial variability of soil quality. Various researchers i...

In this paper, a new wavelet based image interpolation algorithm is proposed for remote sensing images. Remote sensing images include many mid and high frequency elements such as aerial and satellite photograph images. These frequency elements contain important information. Because conventional interpolation techniques have blurring or blocking effects, the quality of interpolated remote sensin...

The Special Issue (SI) on “Remote Sensing in Coastal Environments” presents a wide range of articles focusing on a variety of remote sensing models and techniques to address coastal issues and processes ranging for wetlands and water quality to coral reefs and kelp habitats. The SI is comprised of twenty-one papers, covering a broad range of research topics that employ remote sensing imagery, m...

In this paper different types of image classification will be studied. Decision level fusion, using a specific criterion or algorithm to integrate the classified results from different classifiers, has shown great benefits to improve classification accuracy of multi-source remote sensing images. Based on a survey to hyperspectral remote sensing classification techniques and decision level fusio...

As a follow-up to the Best Paper Award of 2014, recognizing the most outstanding papers in the area of remote sensing techniques, design and applications published in Remote Sensing, we are pleased to announce the Remote Sensing Best Paper Award for the year 2015. Nominations were selected by the Editor-in-Chief and selected Associate Editors from among all the papers published in the year 2011...

Conventional query techniques for remote sensing image archives as they are available from various satellite data providers are reviewed. The Swiss National Remote Sensing Image Archive is currently being installed at the Swiss Center for Scientific Computing (CSCS/SCSC) and a status report will be given. In parallel with classical query and retrieval possibilities, content-based image search b...

Nowadays the use of remote sensing and Geographic Information System (GIS) is one of the most powerful cost effective tools to identify and discover the available groundwater resources. In this paper, Lithological Units, Lineaments, Slope, Topography, Drainage density, Vegetation and Isohyets lines have been achieved by stations and through remote sensing and GIS techniques. All layers of diffe...