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Showing posts with the label Satellite Sensors

Studying Earth Gravity Using GIS & Remote Sensing

Scientist who want to study gravity can take help of GIS & Remote Sensing  Image by  mohamed Hassan  from  Pixabay   Which data set to use : Grace What it does:  It makes Detailed measurement of earth's gravity Investigates about Earth's hydro reservoir  Investigates physical changes earth encounters  Investigates Disasters Official site:   http://grace.jpl.nasa.gov/ image source: http://grace.jpl.nasa.gov/

What is Radiometric Resolution Of Satellite Image

Radiometric Resolution  is defined as magnitude of EM ( Electromagnetic Energy ) recorded by a sensor Units : Measured in Bits Formula: Each bit records an exponent Power of 2. 1 Bit= 2 2 Bit=4 4 Bit =16 8 Bit=255 digital values Note: 0 represents Black tone and maximum like 255 represents highest tone. image source  www.satimagingcorp.com 1 Bit will be Black & white 16 Bit will be colored 32 Bit will be more colored and will carry greater energy levels Higher Radiometric Resolution much variation in colors reflected. Image to left is of  higher radiometric resolution than that of Landsat below. image source: geoinfo.amu.edu.pl

Satellites In Space Mapped Beautifully

Have you imagined how satellites have surrounded earth surface  Click   ESRI satellite Map  which beautifully visualizes all satellites surrounding earth. Image Source: ESRI Satellite Map

Interesting & Innovative "Light Pollution Map"

  Gives an idea of population concentration based on radiance How many layers it has: Two base layers Road Bing Maps (Hybrid) Where i can use:  Research  Urban Planning  Demographic Studies  Spatial Planning  Governance  Transportation  Geo- Business  Image by  Эдуард Ризванов  from  Pixabay   Source:http://www.lightpollutionmap.info Notes: The light pollution 2010 overlay was made from "Version 4 DMSP-OLS Stable Lights Coverage". The light pollution 2014, 2015, 2016 overlays were made from "VIIRS DNB Cloud Free Composites". Data from 2010 and 2014/2015/2016 is not comparable (different satellite systems)!!! Text Source: http://www.lightpollutionmap.info/

Studying Mars with GIS

We always question about space, other planets, are there any creations outside this earth, is water present there and many more using GIS many of our questions can be answered about space. Mars being closest remained center of attention of researchers since times, NASA images on Mars can be studied using GIS and Remote Sensing, different Remote Sensing indices can be used to extract water, check for vegetation and soil types etc.       Look how Mars Terrain looks like      Want to know about NASA Mars Mission       Want to know about Mars Gravity  Image by  WikiImages  from  Pixabay   -           Image source  http://www.nasa.gov/mission_pages/mars/images/index.html?id=385581 Frosted dunes on mars      Learn about Mars Exploration Rover 

Good Way To Study Forestry

Global Forest Change Explorer Global Forest Change Explorer is  Designed By : University of Maryland, Google Earth Engine, Science in Classroom Why so special : Global Forest Change Explorer is used for Forest Change detection Is classified Data Downloadable : Yes For Students of Forestry : A specific curriculum is designed for better understanding Categories of Data Set Available : Countries, Eco Regions, and hotspots. A Glimpse: 

Innovative Way To Find Patterns of Interest In Satellite Imagery

Classifying Satellite Imagery made easy Terra Pattern Classifying satellite imagery for low level analysis need you to get in complicated image classification algorithm. Terra Pattern is a good solution for pattern matching and identification. Terra Pattern finds similar patterns of tile you have selected. Image by mohamed Hassan from Pixabay How it works: I have placed marker on green area, it matched all tiles with similar pattern and in right lower corner it displayed all results with similar match. Export: You can export results in GeoJSON Format. Good news for developer that it is open source.

Choosing Satellite Imagery for Natural Disaster Mapping

Natural Disaster is natural destruction in a society in form of :    Floods ·          Earthquake ·          Forest Fire ·          Hurricane ·          Volcanic Eruptions ·          Landslides ·          Drought Image by WikiImages from Pixabay Earthquake : For earthquake post disaster study we need to have high spatial resolution satellite image. High Spatial Resolution: Small pixel size indicates high spatial resolution and greater details. Reason: If we want to classify houses on basis of partially damaged, fully damaged we need to closely observe our AOI, to see damaged bridge we need to see it as close as we can ,as detailed as we can Flood s: For flood study, we need to have data with high temporal reso...

Interesting Information About GLONASS Satellite System

History of GNSS and GLONASS A   satellite navigation is a system of satellites that provide geospatial positioning with global coverage. It allows   receiver to determine  longitude ,   latitude , and   altitude. Glonass Satellite Sensor Early sensors were the ground based   DECCA ,   LORAN ,   GEE   and   Omega   radio navigation   systems, which used terrestrial   longwave radio   transmitters   instead of satellites.  Modern systems are more direct. The satellite uses an   atomic clock   to maintain synchronization of all the satellites in the constellation.  GLONASS is the global navigation satellite system developed by Russia . The first ever satellite launched by mankind was SPUTNIK by former Soviet Union in 1957.  The first navigation satellite launched was Cosmos-192 on November 23, 1967. It had a positioning accuracy of 250-300 meters.  In 1976 the ...

List Of Various Satellite Sensors With Specifications

GeoEye-1 SPATIAL RESOLUTION 0.41 meter Panchromatic, 1.65 meter Multispectral TEMPORAL RESOLUTION < 3 days RADIOMETRIC RESOLUTION 11 bits per pixel FREE/COMMERCIAL COMMERCIAL INCLINATION ANGLE 98 Degree No Of Band Name Of Band Range 1 Panchromatic 0,450 – 0,800 µm 2 Blue 0,450 – 0,510 µm 3 Green 0,510 – 0,580 µm 4 Red 0,655 – 0,690 µm  5 NIR 0,780 – 0,920 µm Major Area of Application: ü   Topographic mapping ü   Land use/Land cover mapping ü   National and homeland security ü   3D terrain visualization ü   Insurance and risk management ü   Natural resources and environmental monitoring Image by Free-Photos from Pixabay Worldview  1 SPATIAL RESOLUTION 0.6 met...