Calculate VHI,VCI,TCI,SMI,PDSI,SPI vegetation drought monitoring using Google Earth Engine (GEE).
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- Опубліковано 20 вер 2024
- In this video, we delve into the fascinating world of vegetation drought monitoring using Google Earth Engine (GEE). We explore the calculation of essential indices such as the Vegetation Health Index (VHI), Vegetation Condition Index (VCI), Temperature Condition Index (TCI), Soil Moisture Index (SMI), Palmer Drought Severity Index (PDSI), and Standardized Precipitation Index (SPI). Each of these indices plays a crucial role in assessing the health and resilience of vegetation in the face of drought conditions.
Firstly, we unravel the concept of the Vegetation Health Index (VHI), a comprehensive measure that combines both vegetation greenness (as captured by NDVI) and temperature data to provide insights into overall vegetation health. This index enables us to assess the vigor and vitality of vegetation over time, crucial for understanding its response to changing environmental conditions.
Next, we explore the Vegetation Condition Index (VCI) and Temperature Condition Index (TCI), which individually focus on the vegetative and thermal aspects of vegetation health, respectively. By examining these indices, we gain a deeper understanding of how vegetation responds to variations in temperature and moisture levels, providing valuable insights into its condition.
Moving forward, we delve into the Soil Moisture Index (SMI), a key indicator of soil moisture content derived from satellite data. Understanding soil moisture is essential for evaluating the availability of water to support plant growth and development. By analyzing SMI, we can assess the moisture status of the soil, crucial for predicting drought conditions and their impact on vegetation.
We then explore the Palmer Drought Severity Index (PDSI), a widely used measure for assessing drought severity based on precipitation, temperature, and soil moisture data. PDSI offers valuable insights into the intensity and duration of drought conditions, enabling us to gauge the potential impact on vegetation health and productivity.
Finally, we delve into the Standardized Precipitation Index (SPI), which focuses solely on precipitation data to assess drought severity and duration. By standardizing precipitation anomalies over different time scales, SPI provides a robust measure for monitoring drought conditions and their implications for vegetation.
Through the integration of these indices, we construct a comprehensive Hazard Index that encapsulates the combined impact of various environmental factors on vegetation health. This Hazard Index serves as a valuable tool for identifying areas at heightened risk of vegetation stress and drought-induced damage, crucial for effective drought monitoring and mitigation efforts.
Overall, this video provides a detailed exploration of the methodologies and insights gleaned from the calculation of various indices for vegetation drought monitoring using Google Earth Engine.
Vegetation Health Index (VHI): A composite index that combines information from both the Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) to provide insights into vegetation health and stress.
Vegetation Condition Index (VCI): An indicator of the greenness and overall condition of vegetation, derived from NDVI data, which helps us understand the current state of vegetation health.
Temperature Condition Index (TCI): Reflects temperature anomalies that may impact vegetation health, providing crucial information about thermal stress and its effects on vegetation.
Soil Moisture Index (SMI): This index assesses soil moisture levels, a critical factor influencing plant growth and agricultural productivity. By monitoring SMI, we gain insights into soil moisture conditions and potential drought stress.
Palmer Drought Severity Index (PDSI): A widely used drought index that integrates both precipitation and temperature data over a specified period to quantify drought severity and duration.
Standardized Precipitation Index (SPI): SPI measures precipitation deviations from the long-term average, helping identify dry or wet spells and assess drought severity based solely on precipitation data.
Thank you sir, excellent video. Can you please share the code? Thanks
SURE, Drop Your Mail
excellent video sir, thank you.
Thanks alot
Nice Tutorial Sir, but I'm confused that according to VCI formula the maximum and minimum NDVI will be the previous year but here you used NDVI max min for the same year that you wanted to calculate for VCI, how Sir??
Amazing tutorial! Can you share the code? Thanks!
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@@geographerpakistani Email sent
Is the probability function not fitted to calculate the SPI?
Thank you for your comment, @MehrnoushEghtedari
In the provided code, the Standardized Precipitation Index (SPI) is calculated directly using a formula that computes the difference between the current precipitation and the long-term average precipitation, divided by the standard deviation of the long-term average precipitation. This direct calculation method is commonly used in practice to assess precipitation anomalies. While fitting a probability distribution function to the data is another approach to calculate the SPI, it requires additional steps such as fitting a distribution like the gamma distribution or Pearson Type III distribution to the precipitation data. This approach can provide valuable insights into the distribution of precipitation anomalies but is more complex and not implemented in the code shared here.
Thanks for your learning! would you please share this code?
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Very nice
Thanks alot 🌸
Could you please share the code for SMI?
Sure send me mail at alihasnainnokia4@gmail.com
Can you please share the code?
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Hello. Please share the code
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CAN YOU PLEASE SHARE THE CODES
Yes sure drop your mail
Hello and thank you for your excellent video, can you please share cod?
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I did it but I got error
show me errors or share your code I will check
Sir ,can u share code
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Please send the code, plss
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plz send me code thanks
Sure send me mail at alihasnainnokia4@gmail.com
send code plz
Sure send me mail at alihasnainnokia4@gmail.com
can you please share your mail id, so we can get the code from your study
check your mail bro
code link please madam
Lol I am not madam and yes sure drop your mail.
@@geographerpakistani Sorry, Please provide all people, some youtube channel giving. I am requesting only. It will definately benifit for your youtube channel
@@uma9183 Whoever mails me with reasons I share with them
Please sir send me SPI/SPEI, NDVI, SMI, LST, VCI, VHI. please sir
Nice Tutorial Sir, but I'm confused that according to VCI formula the maximum and minimum NDVI will be the previous year but here you used NDVI max min for the same year that you wanted to calculate for VCI, how Sir??
The Vegetation Condition Index (VCI) can be calculated using different approaches depending on the context and the purpose of the analysis. In the video, I used the maximum and minimum NDVI values from the same year to focus on intra-annual variability, which helps to highlight the vegetation condition within that specific year.
However, it's also common to use the maximum and minimum NDVI values over a longer period, such as several years, to capture inter-annual variability and provide a more comprehensive view of vegetation conditions over time. This approach can help in identifying long-term trends and anomalies. Both methods are valid and useful in different scenarios. For a more detailed analysis, you can consider the specific goals of your study and choose the method that best suits your needs.
Hello could you share the code please ?
sure drop your mail
Hello. Please share the code
yes sure drop your mail
can you send code PLZ
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Plss send code
I send u mail .. plss send code
Sir
Plss check mail.. send me code sir
Nice Tutorial Sir, but I'm confused that according to VCI formula the maximum and minimum NDVI will be the previous year but here you used NDVI max min for the same year that you wanted to calculate for VCI, how Sir??
He is right, not past year "Where NDVI is the current NDVI value, NDVImin is the minimum NDVI value and NDVImax is the maximum NDVI value of the research period"
Sir, can get the code please
sure
could u share the code please ?
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HI, send a code please
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Please send the code
Sure drop me mail