A spatiotemporal analysis of Land surface temperature day and night using Modis data

#land_surface_temperature#spatio_temporal#Modis#Lst_Day_Night#LST_Daily#Remote_Sensing_GIS_Home
Welcome to our channel, where we explore the incredible world of remote sensing and geospatial analysis! In this captivating video, we dive deep into the fascinating topic of land surface temperature and its spatiotemporal patterns using MODIS data.
Join us on an extraordinary journey as we unlock the secrets of land surface temperature variations throughout the day and night. Using cutting-edge geospatial techniques and advanced algorithms, we process MODIS data to extract temperature values at different times, revealing the hidden dynamics and patterns that shape our planet's temperature landscape.
Like this video, subscribe to our channel, and hit the notification bell to stay updated with our latest scientific explorations. The wonders of remote sensing and geospatial analysis await you!
MOD11A1 data Scale Factor 0.02
To calculate Calvin to degree Celsius using this formulate
(Reproject Raster*0.02-273.15)
Application of Land surface temperature(LST)
Nowadays global environmental and climate change is a big issue for the entire ecosystem. To manage and find solutions to changes in climate, hydrology, ecology, and biochemistry you have a need to analyze LST data.
Typical applications include:
i) Assessing Crop Residual Burning
ii) Evapotranspiration models
iii) Climate Change modeling
iv) Studying phenomena such as urban heat islands, heat, and cold waves
v) Monitoring the occurrence of extreme weather events
vi) Assessing Forest burned areas
Related Tags: A spatiotemporal analysis of Land surface temperature day and night of modis data, Land surface temperature calculation by modis data, Land surface temperature measurement, Land surface temperature calculation, how to measure LST, how to measure Land surface temperature, How to calculate the Land surface temperature of a daily basis, how to calculate Land surface temperature daily basis, Land surface temperature day and night, RemoteSensingTechnology,GeospatialData,ClimateResearch, EarthObservationData, MODISSatellite,TemperatureAnalysis ,DataProcessing,SpatialPatterns ,EnvironmentalScience,ClimateStudies , geospatial mapping ,HeatIslandEffect,UrbanEnvironment ,ClimateChangeMitigation,LandUseAnalysis ,EnvironmentalMonitoring,DataScience ,EarthScience,ResearchMethods
To discover and access NASA Earth science data, search.earthdata.nasa.gov
To learn more about MODIS Version 6 Land Surface Temperature data and other data products distributed by the LP DAAC please visit lpdaac.usgs.gov/.
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======Contents of this video======
00:00 -Introduction to Land Surface Temperature and MODIS Data
01:45 -About the data details
04:28 - Where to access the data
05:36 - How to download the data
11:15 - How to add data in ArcGIS
12:40 - How to calculate Land Surface Temperature automatically
34:02 - How to Visualize the Data in ArcGIS
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Note: The information presented in this video is based on scientific literature and NASA's MODIS data, which are widely used and accepted in the field of remote sensing and geospatial analysis
Thank You.

[@RemoteSensingGISHome]

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[@munkashifsalauddin9122]

Sir, how can we do lst in qgis ?

[@user-ys8wu6fj7u]

Thank you so much sir!

[@naufilzahid8412]

Very helpful video. I just started learning about MODIS LST and learned a great deal from you. I know the importance of ArcGIS Model Builder Tool as it can save a lot of precious time. A craftsman is known by the tools he use. If we manually perform the iterative calculations, it is okay but it is not efficient. Most of the times, when GIS specialists have to deal with a lot of data eg when they are working on basin level studies, automation goes a long way either via Model Builder tool or via Python or other programming language.

[@RemoteSensingGISHome]

Thank you for your comment! We're thrilled to hear that you found the video helpful and that you're beginning to learn about MODIS Land Surface Temperature (LST). You're absolutely right about the importance of tools like ArcGIS Model Builder in saving time and improving efficiency.

[@shatabdisinha6779]

Thank you so much for this detailed video sir. Really appreciate your efforts and time. God bless you

[@RemoteSensingGISHome]

Thank you for hearing such kind of appreciation 🙏 all the best wishes

[@shatabdisinha6779]

Sir, I've some errors please help me.. How can I contact you@@RemoteSensingGISHome

[@jumaimohammed3144]

Hello, I struggle with interpretation of modis data for LST from landsat 8, can you provide further assistance please?

[@RemoteSensingGISHome]

Of course! I'd be happy to provide further assistance with interpreting Land Surface Temperature (LST) data from Landsat 8. Understanding and interpreting LST can be challenging, but with the right approach, you can gain valuable insights. Here are a few tips to help you: import numpy as np # Constants for split-window algorithm K1 = 774.89 K2 = 1321.08 C1 = 6.0 C2 = 1.2 # Landsat 8 thermal band data (TOA radiance) thermal_radiance = np.array([[135.89, 136.12, 134.57], [130.21, 131.56, 129.42], [141.79, 140.62, 142.35]]) # Conversion to brightness temperature (Kelvin) thermal_brightness = K2 / np.log((K1 / thermal_radiance) + 1) # LST calculation using split-window algorithm lst = (C1 * thermal_brightness[10, 10] - C2 * thermal_brightness[11, 11]) / (C2 - C1) print("Calculated Land Surface Temperature (LST):", lst) Finally, the LST is calculated using the split-window algorithm formula: (C1 * BT1 - C2 * BT2) / (C2 - C1), where BT1 and BT2 represent the brightness temperatures from two different thermal bands (e.g., Band 10 and Band 11). You can run this script as-is to calculate a sample LST value. To apply it to a larger dataset or automate the process, you may need to modify the script accordingly and include relevant data loading and processing steps.

[@chaliemulu3632]

If we have mores cene that is not mosaic, projected in country level for consicutave 20 years, how we mosaic, reproject using modulars.Thank you

[@user-fd8wi2rg9g]

how do i calculate the daily, weekly, and monthly average surface temperature?

[@jahvincemusic2923]

how do i calculate the daily, weekly, and monthly average surface temperature?...... Can you help as soon as possible if you can ineed this for my project after 2 weeks i want tp do my data analysis please my brother Im struggling to know how o do this

[@RemoteSensingGISHome]

@@jahvincemusic2923 Calculating the daily, weekly, and monthly average surface temperature can be done by aggregating the temperature data over the desired time intervals. Daily Average: Collect all surface temperature measurements for each day. Compute the mean of the collected measurements to obtain the daily average surface temperature. Weekly Average: Collect all surface temperature measurements for each week. Compute the mean of the collected measurements to obtain the weekly average surface temperature. Monthly Average: Collect all surface temperature measurements for each month. Compute the mean of the collected measurements to obtain the monthly average surface temperature.

[@jahvincemusic2923]

@@RemoteSensingGISHome thank you sir i appreciate your commitment in this channel , well explained ...

[@mindjerichard4883]

Thank you for the informative video. However, to have a general LST map, will it require to calculate the mean between the day time and night time through cell statistics in ArcMap?

[@veterinarytips8059]

Hii I'm in Africa, Tanzania, I can't log in to the remite sensing gis home application, how can I log in to the application, I need help

[@RemoteSensingGISHome]

The app only for Indian people, are you looking any special course let me know about it

[@user-tl3yi4ug7d]

one year k leye annual, monthly aor seasonal snow calculate kary GIS mai us k video bn de

[@swastikmohanta5715]

please, make a video on vegetation phenology study along with software application. looking for it!!

[@RemoteSensingGISHome]

Thank you for your suggestion! A video on vegetation phenology study and software applications sounds fascinating. Phenology is a critical field of study that focuses on understanding the timing of recurring biological events in plants, such as leaf emergence, flowering, and senescence, and its relationship with seasonal and climatic changes.

[@user-tl3yi4ug7d]

Assalam_o_alaikum

[@junaidlatif2881]

Background music very annoying

[@user-tz4nv1pb1o]

💯💯💯💯💯💯💯💯✌✌✌✌❤