calculating Soil Moisture Index (SMI)

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  • Опубликовано: 27 авг 2024
  • In this video, we are going to see how to download landsart8 and calculate soil moisture index using ArcGIS Pro

Комментарии • 10

  • @trendz2023.
    @trendz2023. Год назад +1

    ❤❤❤❤❤❤

  • @cristobalgonzalezmeza9697
    @cristobalgonzalezmeza9697 Год назад +2

    Thank you so much for posting this video. It's been really helpful. I have a question though. How do I calculate the constants (a1 and b1) for the LST max and min?

    • @lesrappelsprofitentauxcroy3023
      @lesrappelsprofitentauxcroy3023 Год назад

      yes me too i have the same question

    • @CyberGI
      @CyberGI  Год назад

      Hello, thank you for raising good quetion, those constst values has been detrmined and proved scientificaly but if you wount to prove them you can use the following steps.
      To calculate the constants a1 and b1 for the Land Surface Temperature (LST) maximum, you need the corresponding NDVI values and LST maximum values. Similarly, for a2 and b2 for LST minimum, you need the NDVI values and LST minimum values.
      Here's a step-by-step guide to calculate a1, b1, a2, and b2:
      Collect a dataset of LST maximum and minimum values along with their corresponding NDVI values. Ensure you have a sufficient number of data points covering different scenarios.
      Using linear regression, fit a line to the data points (NDVI vs. LST maximum). This will give you the slope (a1) and intercept (b1) for the equation LST max = a1 * NDVI + b1. There are various methods to perform linear regression, such as ordinary least squares (OLS) or gradient descent.
      Fit another line to the data points (NDVI vs. LST minimum) using linear regression. This will give you the slope (a2) and intercept (b2) for the equation LST min = a2 * NDVI + b2.
      Once you have obtained the slope and intercept values (a1, b1, a2, and b2), you can use them in the respective equations to calculate LST max and LST min.
      It's important to note that the accuracy and reliability of the calculated constants depend on the quality and representativeness of your dataset. Also, keep in mind that this approach assumes a linear relationship between NDVI and LST, which may not always be the case. If you observe a non-linear relationship, you may need to explore other regression techniques or consider non-linear models to capture the underlying patterns accurately.

    • @natannvw1
      @natannvw1 2 месяца назад

      ​@@CyberGI Is there a way to calculate the LST min and max using the NDVI with these constants if I have no full scene? If so, where can I get these constants values?

  • @rudabaadnin6296
    @rudabaadnin6296 9 месяцев назад

    can you share me the reference of the source of the steps that you followed?

    • @er.sudarshanprasad9157
      @er.sudarshanprasad9157 7 месяцев назад

      Yes, reference of this research paper will be helpfull for any body. Pls give the reference.

    • @yaseen0202
      @yaseen0202 5 месяцев назад

      Most probably, the reference is
      doi:10.3390/ECWS-3-05802