Remote Sensing
Along with the increasing use of unmanned aerial vehicles (UAVs), large volumes of aerial videos have been produced. It is unrealistic for humans to screen such big data and understand their contents. Hence methodological research on the automatic understanding of UAV videos is of paramount importance.
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Beijing Building Dataset(BGB) is an elevation satellite image dataset which is integrated by satellite image and aerial photograph for building detection and identification. It contains 2000 images from Google Earth History Map of five different areas in Beijing on November 24th, 2016, and all these images are 512*512 in resolution ratio with a precision of 0.458m. It covers more than 100 km2 geographic areas of Beijing both in suburbs and urban areas.
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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/hong-kong-2287517_1920.jpg?itok=9C1aM_pr)
Dataset for change detection (before and after change) are generated by matlab code.
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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/hong-kong-2287517_1920_0.jpg?itok=WWgkRicX)
The data relates to a study to captured deciduous broadleaf Bidirectional Scattering Distribution Functions (BSDFs) from the visible through shortwave-infrared (SWIR) spectral regions (350-2500 nm) and accurately modeled the BSDF for extension to any illumination angle, viewing zenith, or azimuthal angle. Measurements were made from three species of large trees, Norway maple (Acer platanoides), American sweetgum (Liquidambar styraciflua), and northern red oak (Quercus rubra).
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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/library-1666702_1920_0.jpg?itok=suvlOQtB)
The water consumption from different house holds recorded for a period of one year
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Research on damage detection of road surfaces has been an active area of research, but most studies have focused so far on the detection of the presence of damages. However, in real-world scenarios, road managers need to clearly understand the type of damage and its extent in order to take effective action in advance or to allocate the necessary resources. Moreover, currently there are few uniform and openly available road damage datasets, leading to a lack of a common benchmark for road damage detection.
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This study was conducted in Mayaguez – Puerto Rico, and an area of around 18 Km2 was covered, which were determined using the following classification of places:
· Main Avenues: Wide public ways that has hospitals, vegetation, buildings, on either side
· Open Places: Mall parking lots and public plazas
· Streets & Roads: Dense residential and commercial areas on both sides
Vendor Equipment Description
KEYSIGHT® N9343C Handheld Spectrum Analyzer
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![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/tags/images/hong-kong-2287517_1920_0.jpg?itok=WWgkRicX)
Dataset for the article: "Impacts of flow alteration on Swiss floodplains observed by remote sensing".
The present data are originating from two kinds of product:
- landsat time series of surface reflectances (product of)
- discharge statistics from the Swiss Federal Office for the Environment (extracted statistics)
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