Environmental

 

  • Image Processing
  • Last Updated On: 
    Mon, 07/08/2019 - 08:21

    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: 
    Thu, 04/04/2019 - 10:06

    This dataset accompanies the IEEE Journal of Oceanic Engineering Special Issue on Verification and Validation of Airgun Source Signature and Sound Propagation Models. The special issue has is its origins in the International Airgun Modelling Workshop (IAMW) held in Dublin, Ireland, on 16 July 2016 (Ainslie et al., 2016).

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Sun, 02/10/2019 - 11:23

    We have labeled 683 images and 2015 bounding boxes in total for now. We used 80% of the dataset which are 546 images for training and the rest of 20% which are 137 images for evaluation, and all images in the dataset have the same resolution at 1920*1080. Table.I summaries the statistics of the dataset, the category of floating leaves region has the most bounding box labels and the category of floating weeds region has the largest average size of bounding boxes.

  • Standards Research Data
  • Last Updated On: 
    Sun, 01/27/2019 - 03:22

    It is possible to construct "aerosol cytometers" based on different types of Zhulanov's laser  aerosol counters | diffusion aerosol spectrometers (DAS) [1-8] and "hydrosol cytometers" based on hydrosol particle counters (adopted for ocean marine, ocean and hydrothermal conditions [9,10]).

  • Ecology
  • Last Updated On: 
    Fri, 12/21/2018 - 15:12

    Emergency  managers  of  today  grapple  with  post-hurricane damage assessment that is often labor-intensive, slow,costly,   and   error-prone.   As   an   important   first   step   towards addressing  the   challenge,   this   paper   presents   the   development of  benchmark  datasets  to  enable  the  automatic  detection  ofdamaged buildings from post-hurricane remote sensing imagerytaken  from  both  airborne  and  satellite  sensors.  Our  work  has two  major  contributions:  (1)  we  propose  a  scalable  framework to  create  benchmark  datasets  of  hurricane-damaged  buildings

  • Remote Sensing
  • Last Updated On: 
    Fri, 05/17/2019 - 09:14

    With the advent of Wireless Sensor Networks, the ability to predict nutrient-rich discharges, using on-node prediction models, offers huge potential for enabling real-time water reuse and management within an agriculturally-dominated catchment Existing discharge models use multiple parameters and large historical data which are difficult to extract and this, coupled with constraints on network nodes (battery life, computing power, sensor availability etc.) makes it necessary to develop low-dimensional models.

  • Environmental
  • Last Updated On: 
    Sun, 02/24/2019 - 14:05

    The files found here are regularly-updated, complete copies of the OpenStreetMap.org database, and those published before the 12 September 2012 are distributed under a Creative Commons Attribution-ShareAlike 2.0 license, those published after are Open Data Commons Open Database License 1.0 licensed.

  • Environmental
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Open Street Map

    Early data was collected by technicians using mercury thermometers, where any variation in the visit time impacted measurements. In the 1940s, the construction of airports caused many weather stations to be moved. In the 1980s, there was a move to electronic thermometers that are said to have a cooling bias.

    Given this complexity, there are a range of organizations that collate climate trends data. The three most cited land and ocean temperature data sets are NOAA’s MLOST, NASA’s GISTEMP and the UK’s HadCrut.

  • Environmental
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Lawrence Berkeley National Laboratory

    The TMC maintains a map of traffic speed detectors throughout the City. The speed detector themselves belong to various city and state agencies. The Traffic Speeds Map is available on the DOT's website. This data feed contains 'real-time' traffic information from locations where DOT picks up sensor feeds within the five boroughs, mostly on major arterials and highways. DOT uses this information for emergency response and management.

    The metadata defines the fields available in this data feed and explains more about the data.

  • Environmental
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    McDermott, Tim