Flood Susceptibility Mapping using Google Earth Engine

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  • Опубліковано 10 лис 2024
  • 7 days of online training on Master Google Earth Engine for Remote Sensing & GIS analysis for beginners to advanced course contents: • New batch: Class Start...
    Registration is open for a new batch of 7 days of Complete Google Earth Engine for Remote Sensing & GIS Analysis online training for Beginners to Advanced levels.
    These classes will teach you all the necessary things to start using GEE for your remote sensing analysis. We mainly focus on these people who don't know any programming language and Earth Engine function. We cover LULC mapping, Air quality, Monitoring, Time series analysis, Calculating any Indices, Supervised Classification, Machine Learning Methods, and more.
    Class Start: 10th February, 2024
    Admission Last Date: 9th February, 2024 ( 1st 10 registered people get a 50% discount)
    Total Class: 7 days (Friday and Saturday in Week)
    Class Duration: 3 hours (Each day), Time: 9:00 P.M to 12:00 A.M (GMT +6)
    For registration contact this WhatsApp number: +8801780942798 or Email: rmijanur10266@gmail.com
    1st day:
    Introduction to GES
    How to use GEE JavaScript and Python API
    Learn the basic principles of JavaScript syntax and python
    Client vs. Server object on GEE
    How you get the server to execute your code?
    Importing Raster and Vector Data: Local storage & GEE Dataset
    Filtering Attribute Table
    2nd day:
    Filtering and Displaying Satellite Images: Landsat , Sentinel
    Satellite Composite
    Band combinations
    Export Satellite Imagery: Landsat , Sentinel and Modis
    Import, Filter, Reduce, Clip and display Raster data in GEE
    Time series Chart of NDVI using GEE readymade dataset
    Export Any Shapefile
    3rd day:
    Calculating Any Indices from Satellite Images using Landsat and Sentinel
    Filtering and Displaying Satellite Images: Sentinel-2 and Monitoring NDWI , NDVI
    Extract water body using Thresholding
    NDVI , NDWI , SAVI and all indices Time series Chart using Landsat and Sentinel
    Export Any Shapefile from GEE
    How to add Gradient Legend and Title on GEE
    NDWI Calculated from Modis and Landsat data
    4th day:
    How to remove cloud and Haze from satellite imagery- Landsat and Sentinel
    Visualization (DEM) of Hill shade and Slope Map in GEE using NASA SRTM and Aster
    Land surface temperature (LST) Monitoring from Landsat satellite imagery and Modis
    How to calculated Average , Maximum, Minimum NDVI any specific region
    GEE: How to make monthly Evapotranspiration
    5th day:
    Air Quality Monitoring: all parameters
    How to Download Air Quality Parameters Time series data in CSV format using GEE
    Air Quality Monitoring Time Series chart
    Air Quality Monitoring: How to calculate total emission of nitrogen-oxide or any gases in GEE using sentinel-5
    ArcMap software: How to make research paper map using GEE & ArcMap software
    6th day:
    Introduction to Machine Learning in Google Earth Engine
    How to make LULC Map using Machine Learning: Supervised and Unsupervised algorithm
    Random forest, CART, SVM, Minimum distance classifier to make LULC
    How to Check LULC accuracy assessment using Google Earth Engine. (Kappa, Producers & Consumers
    accuracy)
    Calculate LULC classes Area
    How to add Legend in LULC Map
    How to Export LULC and make a research paper LULC map using ArcMap
    7th day:
    Land-Use and Land-Cover Change Detection using Google Earth Engine
    NDVI change detection using Google Earth Engine
    Class-wise LULC change detection in ONE layer using Google Earth Engine
    Hyperparameter Tuning for improving the accuracy of your machine-learning model
    Online Training Benefits:
    Course Certificate (After submitting all Assignments)
    Materials (Slide, PDF)
    Practice Code (All codes provide)
    Recorded Class (All class recorded video provided)
    Lifetime teaching support
    Join Our Community:
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    How to Calculate Erosion & Accretion of a River for different time period using ArcGIS - part: 1: www.youtube.co...
    ML full palylist: • Machine Learning
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    Online training on the R package for interacting with the Google Earth Engine syllabus: • rgee: An R package for...

КОМЕНТАРІ • 5

  • @kumaripriyanka9915
    @kumaripriyanka9915 9 місяців тому +1

    can you make video on heat waves using modis data

  • @carlosalbertogis7194
    @carlosalbertogis7194 8 місяців тому +4

    But in the real world, in order to establish the flood susceptibility of a given place, the following must be taken into account:
    1. The morphology of the terrain
    2. The slopes of the land
    3. Drainage system
    4. Multi-temporal satellite or radar images
    5. Land use coverage map
    6. Soil map
    MAKING A BUFFER TO ESTABLISH AREAS SUSPECTABLE FOR FLOODS USING A BUFFER DOES NOT SERVING THAT PURPOSE, YOUR PROPOSAL IS WRONG.

  • @VictorManuelRomeroBenitez
    @VictorManuelRomeroBenitez 8 місяців тому

    Where can I buy this full course

    • @gisrsinstitute
      @gisrsinstitute  8 місяців тому

      Hi
      Contact this WhatsApp number: +8801780942798 or Email: rmijanur10266@gmail.com

  • @sarahoktarianinur3775
    @sarahoktarianinur3775 6 місяців тому

    can i have the code?