Google Earth Engine Tutorial-55: Vegetation Moisture Content, using Landsat Images

Sdílet
Vložit
  • čas přidán 9. 09. 2024
  • codelink: github.com/Ami...

Komentáře • 18

  • @user-oy9us3ns7l
    @user-oy9us3ns7l Před měsícem

    ممنونم از زحماتی که به صورت رایگان با همه در میان میزارید . شما انسانی بسیار شریف هستید 🙏🙏

    • @amirhosseinahrarigee
      @amirhosseinahrarigee  Před měsícem

      با سپاس از شما. انشالله براتون مفيد باشه.

  • @Ramilacookware
    @Ramilacookware Před měsícem +1

    ❤❤❤❤❤❤ 🎉

  • @user-vj2sq6cn9z
    @user-vj2sq6cn9z Před měsícem

    Your courses are helping me a lot in my work. Thank you very much.
    I was wondering if you could do a lecture on detecting land change by generating 12 monthly average vegetation indices from the last 5 years of SENTINEL imagery and comparing the vegetation indices for the current month (MAY) with the corresponding month (MAY) of the last 5 years?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee  Před měsícem

      glad to hear that it was useful. will try to share tutorials according to my experience. however if you follow the tutorials you will learn about necessary techniques and function for change detection.

  • @smrahuseynova3377
    @smrahuseynova3377 Před měsícem +1

    Thanks for great content, can you please make videos on how to build gee web application based on any analysis related to satellite imagery

    • @amirhosseinahrarigee
      @amirhosseinahrarigee  Před měsícem +1

      welcome. I will consider your suggestion and will share such tutorials in near future.

  • @ladiran
    @ladiran Před měsícem +1

    I really appreciates this free tutorials you're giving us 🙏
    I don't know if you can do some of the tutorials using python?
    After processing the image for NDVI, NDWI, LST, etc, I wish to have a diagram with the geographic coordinates as axes (longitude = x-axis, latitude = y-axis). Please, how can we do this?
    Thanks

    • @amirhosseinahrarigee
      @amirhosseinahrarigee  Před měsícem

      Thanks for the feedback. Unfortunately I am not expertise in python raster analysis. I am doing all processing steps in google earth engine using java scripts.

    • @ladiran
      @ladiran Před měsícem +1

      @@amirhosseinahrarigee Thanks, for the response.

  • @Abdullah_GIS_Analyst
    @Abdullah_GIS_Analyst Před měsícem

    thanks for such an informative video.
    can you please explain in a video that how a cloud cover image makes cloud free? I have read an article in GEE resources community with the title of "Sentinel-2 Cloud Masking with s2cloudless"

    • @amirhosseinahrarigee
      @amirhosseinahrarigee  Před měsícem

      thanks for the feedback. using cloud mask layer, you will be able to skip cloudy pixels from computations and fill the gaps using interpolation techniques. I will try to make a tutorial in this regard. keep following the channel to receive its notification.

  • @gezahagnnegash9740
    @gezahagnnegash9740 Před měsícem

    It's so helpful for me but how do you correlate your results with crop water requirements for irrigation purposes?

    • @amirhosseinahrarigee
      @amirhosseinahrarigee  Před měsícem

      didn't check with water requirement information, but agree. If I have more information will share more.

  • @gunngunn6763
    @gunngunn6763 Před měsícem

    sir any tutorial on water budget estimation of a region please