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SMAP project released a new enhanced high-resolution (3km) soil moisture active-passive product. This product is obtained by combining the SMAP radiometer data and the Sentinel-1A and -1B Synthetic Ap...
Vegetation is an important part of the terrestrial ecosystem. It plays an important role in the energy and material exchange of the ground-atmosphere system and is a key part of the global carbon cycl...
The availability and accessibility of remote sensing (RS) data, cloud processing platforms and provided information products and services has increased the size and diversity of the RS user community....
In order to evaluate the fluctuation of Taihui Lake, ICESat/Hydroweb and Landsat data recorded from 1975 to 2015 were used to examine changes in lake level and area, derived from Normalized Difference...
In the proposed SAFEDAM system, aerial and satellite-based information is used for the monitoring of river bodies, flood monitoring during the event, and for post-disaster damage assessment. UAV const...
While extracting land cover from remote sensing images, each pixel in the image is allocated to one of the possible class. In reality different land covers within a pixel can be found due to continuum...
Recently, the visualization of the spatial data is gaining importance in the ubiquitous computing. In geoinformatics such as distributed GIS or Location Based Services, context models are responsibl...
Landsat TM and ASTER data were used in the neotectonics study of Western Mongolia. The latter has been one of the most seismically active intracontinental regions of the world in this century. The o...
In this work the optical-spectrometric data on optical reflectance spectra taken from spill ail and pure/mazut-contaminated soils are presented.
The ability to model socio-economic parameters from remote sensing data sources is an important element in addressing the data gap that currently exists for linking human and physical systems in Ear...
During the last decade many national and regional Land Cover/Land Use projects are implemented based on computer aided satellite image interpretation. An essential procedure for the European CORINE ...
Uncertainties in topographic data have a significant influence on hydro-morphological and hydraulic predictions and therefore on flood risk assessment. In this work, the effects of topographic data ...
Object-based classification is a promising technique for image classification. Unlike pixel-based methods, which only use the measured radiometric values, the object-based techniques can also use shap...
Remote-sensing and geographic-information-systems (GIS) techniques were jointly used in this study to establish a GIS database system for the Yeşilırmak watershed provinces, which include Am...

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