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souvik.gis

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    138
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About souvik.gis

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    Lecturer

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    Male
  • Location
    India
  1. little help here

    The final program https://ibb.co/k02LA5
  2. little help here

    sorry brothers for late reply. I shall definitely share it by tomorrow.
  3. little help here

    I have made it.
  4. little help here

    I have one issue. How to define the output as input in a model? how to define parameter?
  5. little help here

    please help me in this model.
  6. little help here

    I want to simplify polygon.
  7. little help here

    Hi brothers, I have designed a model but I can not complete it. Please help me here. I am attaching the model screenshot https://ibb.co/d4iKQa please help me to complete the program
  8. New to GIS

    You can use Arc Explorer. And look in this web http://www.gislounge.com/free-gis-data-viewers/ Another one is Tatuk.. http://www.tatukgis.com/getdoc/a52b07d7-a0ee-4410-a103-fb5ac0085916/Description.aspx
  9. GIS Specialist - Brussels / Copenhage

    How to apply? I have more than 5 years of industrial experience in Arcgis and 3 years of research experience. I'm from India. Can I apply?
  10. ArcScene projection error

    Akif95 WGS84 is not a projection System. It is a Datum. Like darksabersan says you need to assign a projected coordinate system. Either you can import it from another layer or manually assign it.
  11. Build Intranet/LAN GIS

    Do one thing. Make a shareable disk or folder in your PC. Then from other PC click on "Map network Drive" and select the shared folder or drive. All the other person would see that folder or drive as a harddisk in their PC. Simple.
  12. How to remove Google Earth Logo or Watermark from image

    could you send the bounding coordinate of your study area?
  13. Contour to Raster, Heavy File : How to ?

    Its true, but primarily you need to run the process then the out put would save in any format. Problem is when running the process. Due to low cache memory and page file (I have windows PC) the process fails to run.
  14. Sorry am2. I don't have any idea. Please check out this site http://www.roborealm.com/index.php And please follow this book.... http://www.umiacs.umd.edu/~rama/Publications/Sank_PIEEE_2008.pdf
  15. You can drive here for focal length related issues http://en.wikipedia.org/wiki/Focal_length The most simple formula to estimate distance to the object is where x is the size of the object on the sensor, f is focal length of the lens, X is the size of the object, and dis distance from nodal point to the object. x and f, and X and d are measured in the same units, e.g. mm and m respectively (to calculate x you'll need to estimate pixel size for your sensor; for example, for Pentax K20D it is 23.4 mm/4672 px ≈ 5.008e-3 mm/px, i.e. an image 100 px long corresponds to x = 50.08e-3 mm). In the following I assume that the size of the object (X) is unknown, and the only known parameters are x(image size) and f (focal length). The problem is that we cannot tell from one photo if is a small object very close to the camera or a big object far away, because the depth of field in landscape shots is usually very big (and that's why pinhole formula is applicable). To solve this problem we may use two or more images to measure the distance. Provided you can measure all angles and distance between two camera positions, you can also calculate distance to the remote object. But measuring all angles is not an easy task. An easier approach is to take two photos which stay on the same line with the object, with object in the center of the image. Let distance to the object on the first photo be d₁, and image size be x₁: Then if we move the camera s meters directly towards the object, then on the second photo we have image size x₂ slightly bigger than x₁: Which gives us Evidently, if s is not big enough to affect image size significantly, you cannot estimate distance reliably, and need to use more complicated methods. The bigger is difference x₂ - x₁, the better. Another formula is: ----------------------------------- distance to object (mm) = focal length (mm) * real height of the object (mm) * image height (pixels) --------------------------------------------------------------------------- object height (pixels) * sensor height (mm)
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