Volume Calculations using QGIS

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  • Опубликовано: 10 сен 2024

Комментарии • 12

  • @antoniiojosee
    @antoniiojosee 7 месяцев назад +2

    hi, from Brazil! Your video is awesome, your content is super current. One day i will visit India.

  • @Tom-ks9xl
    @Tom-ks9xl 7 месяцев назад

    Brilliant Brilliant Brilliant greetings from Deutschland haha

  • @revansiddayyap3925
    @revansiddayyap3925 10 месяцев назад

    I like the way you explain it and i have a request that pls start a tutorial on HEC-Ras or Watergem softwares where there are no recent contents on youtube, I will be waiting for your reply brother and love to learn those softwares from you.

  • @elritsa
    @elritsa 2 месяца назад

    Thank you for this, excellent guide! As I understand it the calculated area in the volume report is a "flat" surface and not the surface area?

  • @raghebkamal1100
    @raghebkamal1100 10 месяцев назад

    Great Explanation 👍

  • @sreenathijk2952
    @sreenathijk2952 29 дней назад

    what is pixel value , i didnt understand, can you explain it

    • @geodeltalabs
      @geodeltalabs  17 дней назад

      The horizontal and vertical length of one grid cell

  • @David_Mash
    @David_Mash 4 месяца назад

    I would love to be able to take drone photos and import them to qgis and extract volumetric data the way that I can with other photogrammetry webwares

  • @sandunpriyankarasomarathna9281
    @sandunpriyankarasomarathna9281 6 месяцев назад

    in here , how to get hill.tif is it dem file

  • @samirkumarsingh2960
    @samirkumarsingh2960 10 месяцев назад +1

    BUT HOW DID YOU CREATE PIT FILE, THATS THE REAL THING. AND YOU SKIPPED IT ?
    😢

    • @geodeltalabs
      @geodeltalabs  10 месяцев назад

      Hi, no there was no plan to include it in the first place in this tutorial as this focuses only on the volume calculation aspects (hence, the raster dataset is provided for you guys to directly download). As a quick note, there are multiple ways to create a 3D model of a pit, and one of them is to have an array of depth/ elevation points and use a geostatistical interpolation method to develop a raster dataset. More advanced methods would include things like LiDAR scans. I will publish a tutorial on this in a couple of days time so keep an eye out for that :)