Geoscience and Remote Sensing

This database is a image set of a strongest glint-affected region of inland water Capivara reservoir, Brazil. We carried out a flight survey in September 2016 on the confluence region of the Tibagi and Paranapanema Rivers. We use the hyperspectral camera manufactured by Rikola, model FPI2014, wich collect 25 spectral bands at following intervals and full widths at half maximum (FWHM), both expressed in nanometers (nm):

 

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  • Remote Sensing
  • Last Updated On: 
    Tue, 11/12/2019 - 10:34

    After a hurricane, damage assessment is critical to emergency managers and first responders so that resources can be planned and allocated appropriately. One way to gauge the damage extent is to detect and quantify the number of damaged buildings, which is traditionally done through driving around the affected area. This process can be labor intensive and time-consuming. In this paper, utilizing the availability and readiness of satellite imagery, we propose to improve the efficiency and accuracy of damage detection via image classification algorithms.

    400 views
  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 12/13/2018 - 03:04

    The Xuzhou dataset was collected by an airborne HYSPEX hyperspectral camera over the Xuzhou peri-urban site in November 2014. This dataset consists of 500 × 260 pixels, with a very high spatial resolution of 0.73 m/pixel. The number of spectral bands used in the experiment was 436, after removing the noisy bands ranging from 415 nm to 2508 nm.

    314 views
  • Geoscience and Remote Sensing
  • Last Updated On: 
    Wed, 10/09/2019 - 03:22

    Fig.  shows the radar echo energy of the four tilted beams with different tilted angles observed by the Wuhan MST radar using the low mode (unit: dB), which is the average value of three observation cases (LT: 2011-03-17, 08:30-10:00; 2011-03-15, 18:00-19:30; 2011-03-15, 19:30-21:00).

    88 views
  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    My first use of Ruby on Rails in an Arduino project is a simple temperature and humidity logger. Ideally I'll create another Arduino project to graph the data. Of course we need an Arduino with networking capabilities. You really can't go past the excellent, tiny, cheap HUZZAH from Adafruit.


    Electronics

    Components I used were:

    40 views
  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    My first use of Ruby on Rails in an Arduino project is a simple temperature and humidity logger. Ideally I'll create another Arduino project to graph the data. Of course we need an Arduino with networking capabilities. You really can't go past the excellent, tiny, cheap HUZZAH from Adafruit.


    Electronics

    Components I used were:

    113 views
  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    Beijing taxi trip data (sample)

    1166 views
  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    High-fidelity, physics-based multichannel radar data cube provided by the DARPA KASSPER project. This data is ideal for analyzing space-time adaptive processing (STAP) algorithms since both sample data and truth data are provided.

    1170 views
  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    There are two files with GNSS raw measurements provided:

    The first one refers to the measurements recorded at Eibsee, and the second one includes the measurements at Zugspitzplatt.

    352 views
  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    This dataset contains aerial images acquired with a medium format digital camera and point clouds collected using an airborne laser scanning (ALS) unit, as well as ground control points and direct georeferencing data. The flights were performed in 2014 over an urban area in Presidente Prudente, State of São Paulo, Brazil, using different flight heights. These flights covered several features of interest for research, including buildings of different sizes and roof materials, roads and vegetation.

    729 views
  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

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