Remote Sensing

The water consumption from different house holds recorded for a period of one year

  • Standards Research Data
  • Last Updated On: 
    Sun, 01/12/2020 - 13:13

    The data made available are the simulations of a time-resolved Monte Carlo model for use in quantitative as well as qualitative analysis of different types of particle atmospheres.

  • Computer Vision
  • Last Updated On: 
    Thu, 02/27/2020 - 10:07

    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.

  • Artificial Intelligence
  • Last Updated On: 
    Tue, 01/21/2020 - 14:54

    Cloud-free imageries, acquired from Landsat 8 OLI during 2016 to 2018, were used to delineate the extents of the glacial lakes in the mountainous terrain of CPEC

  • Remote Sensing
  • Last Updated On: 
    Mon, 11/18/2019 - 07:09

    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

  • IoT
  • Last Updated On: 
    Sun, 10/27/2019 - 21:54

    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)

  • Remote Sensing
  • Last Updated On: 
    Wed, 10/16/2019 - 04:00

    The dataset contains information about roses cultivation in greenhouses. It is aimed at identifying corrective actions to improve the roses state. Data acquisition was done with an autonomous robot incorporating sensors such as: soil humidity, light, temperature and humidity, and CO2.

  • Remote Sensing
  • Last Updated On: 
    Tue, 07/23/2019 - 11:12

    Data set contains logs from OptiTrack motion camera system and flex sensor information from a smart glove. Participants performed finger taps for 10 secs.

  • Remote Sensing
  • Last Updated On: 
    Mon, 07/15/2019 - 16:47

    Infrared imaging from aerial platforms can be used to detect landmines and minefields remotely and can save many lives. This dataset contains thermal images of buried and surface landmines. The images were recorded from a fixed camera for 24 hours with 15-minute intervals. DM-11 type anti-personnel landmines were used. This dataset is available for landmine detection research.

  • Remote Sensing
  • Last Updated On: 
    Sun, 06/30/2019 - 15:55

    The SWINSEG dataset contains 115 nighttime images of sky/cloud patches along with their corresponding binary ground truth maps The ground truth annotation was done in consultation with experts from Singapore Meteorological Services. All images were captured in Singapore using WAHRSIS, a calibrated ground-based whole sky imager, over a period of 12 months from January to December 2016. All image patches are 500x500 pixels in size, and were selected considering several factors such as time of the image capture, cloud coverage, and seasonal variations.

  • Energy
  • Last Updated On: 
    Tue, 02/18/2020 - 11:08