New Topographic and Satellite Maps

In view of the upcoming Christmas/End of the Year festivities update, and in the view of a maxi update of, we have updated the geospatial map system; from today we partnered with the best companies form the whole World to bring 3 types of maps, available istantly and without any limitations:

  • Vector Map: vectorial maps are interactive maps designed with licenseLicense a permit from an authority to own or use something, do a particular thing, or carry on a trade GNU/AGPL, update yearly based
  • Street/Topographic Map: topographic maps are interactive, layered maps designed thanks to OpenStreetMap® and is open data, costantly updated
  • Satellite Map: satellite maps are interactive, layered, imagery maps designed thanks to public and private companies who scan our World for this purposes, ordered to be most recent and clarify possible with less clouds

In addition to these maps we’ve exclusively added to the satellite view the LANDSAT8 imagery crawler grayscale or colored with this we can take a real photograph of the earth in a specific coordinates and a specific timespan, with clouds, at an altitude from 1km to 100km; this last image comes directly from the NASA datacenters of LANDSAT8 where it will be cached to our systems for performance reasons.



On February 11, 2013, the Atlas-V vehicle carrying the LDCM satellite (Landsat Data Continuity Mission) was launched from USS Vandenberg. The spacecraft was designed to continue the programProgram/Software the instructions that control what a computer does; computer programs of global space imagery acquisition that the United States has been implementing since 1972 with the help of the Landsat series.

The remote sensing equipment installed on LCDM includes a multichannel scanning radiometer OLI (Operational Land Imager) and a two-channel – IR radiometer TIRS (Thermal Infrared Sensor). The OLI instrument, developed by Ball Aerospace & Technologies, operates at nine wavelengths in the range of 0.433-2.300 μm and provides images with a maximum resolution of 15 m using advanced space imagery technologies. For their development, the experimental EO-1 satellite (launched in 2000 and equipped with the Advanced Land Imager radiometer, a prototype of the OLI radiometer) was used.

The payload of the satellite utilises a new design comprised of fewer moving elements, which will increase its reliability and service life by at least 5 years. The mapping accuracy of the resulting images is 12 m and above. Thanks to OLI, for the first time in Landsat series satellites, it is possible to make observations via two new wavelength ranges, which are crucial for studying cirrus clouds and the quality of lake and coastal waters.

The spatial landsat 8 resolution of the images obtained with the TIRS instrument is 100 m. Its main purpose is to obtain surface temperature characteristics, and to study the process of heat and moisture transfer in the interests of the agricultural sector, water management, etc.

In contrast to the equipment installed on previous Landsat satellites, TIRS provides the ability to conduct observations in not just one, but two infrared wavelength Landsat 8 band combinations. Both instruments shoot in scanning mode along the path of the spacecraft, which reduces the level of radiometric distortion in comparison with the transverse scanning instruments used on previous Landsat satellites.

What is Geospatial intelligence? 

Geospatial intelligence is, as the name suggests, all about deriving information from geospatial data. In the same way, we use the time to give context to data when analyzing it we can also use location as an extra dimension. If you think about trying to derive meaning from a data set of the number of shoes brought by people living in Canada without any knowledge of the time or date when the shoes were purchased you will quickly understand that creating marketing budget or basing any future decisions on this data would be almost impossible. However, if we know the time and date of the purchases we can start to discover trends in the data because time gives us a way of grouping and relating purchases to each other. Now consider the same scenario with a spatially enabled data set. Now, we can not only ground customer behavior by time but also by location. This might mean that we see patterns like certain geographic areas that brought more or fewer shoes than other areas. These kinds of patterns or trends would be used to inform in other business-related decisions such as where and when should a show company concentrate their marketing efforts.

The MYETV’s Terms of Services are updated with new informations and all the respective licenses of the maps.

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