The availability of high spatial resolution remote sensing data provides new opportunities for urban land-cover classification. More geometric details can be observed in the high resolution remote sensing image, Also Ground objects in the high resolution remote sensing image have displayed rich texture, structure, shape and hierarchical semantic characters. More landscape elements are represent...

Phase, frequency, and time synchronization are crucial requirements for many applications, such as multistatic remote sensing communication systems. Moreover, the solution becomes even more challenging when nodes orbiting or flying on airborne spaceborne platforms. This article compares available technologies used coordination of in distributed applications. Additionally, this proposes a genera...

Terra and Aqua, 2 satellites launched by the NASA-centered international Earth Observing System project, house MODIS (Moderate Resolution Imaging Spectroradiometer) sensors. Moderate resolution remote sensing allows the quantifying of land surface type and extent, which can be used to monitor changes in land cover and land use for extended periods of time. In this paper, we propose applying a p...

The insights gained from present land cover classification activities suggest integration of multiangle data into classification attempts for future progress. Land cover types that exhibit distinct signatures in the space of remote sensing data facilitate unambiguous identification of cover types. In this first part, we develop a theme for consistency between cover type definitions, uniqueness ...

In this paper we outline the ways in which thermal and spectral remote sensing can be used to diagnose and monitor effects of environmental stresses on plants. Following an introduction to the theory and practice of using thermal sensing to study plant water relations and stresses involving stomatal closure, the discussion is widened to cover a range of imaging technologies. Particular emphasis...

Determination of the spatial extent of peatland is important for the evaluation of soil carbon stocks. At European Level there is a need to provide accurate and updated estimate of the distribution of peatland. Comparison of national data with EU wide land cover mapping shows that there is limited compatibility between the different data sets. The aim of the present study is to test a methodolo...

Soil salinity phenomena are one of the main problems of arid and semi-arid lands. Saline soils constitute a huge part of Iran, and also threaten its neighboring lands. Therefore, in order to optimum exploitation of such soils, qualitative monitoring is necessary. Recently, remote sensing techniques have been increasingly applied in monitoring soil characteristics. The present study was carried ...

Remote sensing data sets frequently suffer from noise due to atmospheric conditions and instrument issues. This noise negatively affects the usability of these data sets and therefore noise reduction techniques are frequently used to reduce the impact of noise. A well-known remote sensing data set, MODIS Enhance Vegetation Index (EVI), measures the amount of vegetation (based on surface reflect...

Use of multisource remote sensing data, particularly Synthetic Aperture Radar (SAR) and optical images, can improve performance of land cover classification since many types of information are involved in the classification process. Recently, the multiple classification systems (MCS) or ensemble classifiers has been developed and increasingly used for classifying remote sensing data. It is cons...