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The objectives of this study were to exploit the synergy of hyperspectral imagery, Light Detection And Ranging (LiDAR) and high spatial resolution data and their synergy in the early detection of the ...
This paper introduces two archaeological sites documented during the MULINEM (The Medieval Urban Landscape in Northeastern Mesopotamia) project. This project investigates the Late Sasanian and Islamic...
LiDAR technology has become one of the major remote sensing methods in the last few years. There are several areas, where the scanned 3D point clouds can be used very efficiently. In our study we revi...
Remote sensing satellites, together with aerial and terrestrial platforms (mobile and fixed), produce nowadays huge amounts of data coming from a wide variety of sensors. These datasets serve as main ...
In order to examine using cadastral maps as base maps for aerial orthophotos, two different 2D transformation methods were applied between various coordinate systems. Study area was chosen from Kagith...
A generalized model characterizing most remotely sensed data pixel-level fusion techniques is very important for theoretical analysis and applications. This paper focuses on the establishment of a gen...
Support vector machines (SVMs) is a statistical learning method with good performance when the sample size is small, due to their excellent performance, SVMs are now used extensively in pattern classi...
Chongqing, as the central city of inland China, has been subject to especially fast economical development. With increasing population and urban development, various impacts on the surrounding environ...
The atmosphere contains solid and liquid particles (aerosols) and clouds, which interact with the incoming and outgoing radiation in a complex and spatially very variable manner. Aerosol particles are...
All the risks concerning the long lasting exposition to the asbestos, for instance diseases affecting the respiratory system, are known very well. In particular, it’s the friable asbestos the most dan...
In this research, the historic data of NOAA /AVHRR NDVI (1981-2000) and the anomaly vegetation index were utilized. Monitoring and analyzing the winter wheat drought situation in the pre-green up peri...
This study aims to automatically determine changes in urban areas from multi-temporal, multi-scale, and multi-platform remotely sensed data as a base for estimating changes in population. The data set...
Powerful computer-based tools exist to process and analyse data collected by terrestrial remote sensing scientists, but in many cases there is a lack of interoperability between the processing tools ...
The knowledge of auxiliary variables for entire population is a necessary task in many agricultural applications; for example a method widely applied to improve the efficiency of crop area estimation...
Mapping of tidal channels is significant and fundamental in intertidal hydrodynamic studies. This paper is an attempt to develop a new approach for tidal channel identification from remotely sensed d...

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