Geoscience and Remote Sensing

This dataset is a companion to a paper, "Segmentation Convolutional Neural Networks for Automatic Crater Detection on Mars" by DeLatte et al. 2019. DOI link: http://dx.doi.org/10.1109/JSTARS.2019.2918302

 

These are the segmentation target files for the three targets described in the paper: solid filled, thicker edge, and thinner edge. 

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Wed, 05/29/2019 - 22:49

    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):

     

  • Remote Sensing
  • Last Updated On: 
    Fri, 03/08/2019 - 21:15

    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.

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

     

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Sat, 04/13/2019 - 03:51
    Citation Author(s): 
    WangXue, Wu Fuyu, Tan Kun

    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).

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Haiyin Qing

    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:

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    dr.nisha rehane mithal

    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:

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    dr.nisha rehane mithal

    Beijing taxi trip data (sample)

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Yu Liu

    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.

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    J. S. Bergin, J. R. Guerci

    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.

  • Geoscience and Remote Sensing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Patrick Henkel, ANavS GmbH

    Pages