Land Use Land Cover Classification using Machine Learning || Google Earth Engine online training скачать в хорошем качестве

Land Use Land Cover Classification using Machine Learning || Google Earth Engine online training

Check all details for the upcoming online training program from our website: https://www.studyhacksgeospatial.com/... 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 on 19th July - Mast...   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: 18th July, 2025 Admission Last Date:17th July 2025( 1st 10 registered people get a 50% discount) Total Class: 7 days (Friday and Saturday in Week) Class Duration: 4 hours (Each day), Time: 9:00 P.M to 12:00 A.M (GMT +6) For registration contact this WhatsApp number: +8801780942798 or Email: [email protected] 1st day: Introduction to GEE 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: Join the Telegram group: https://t.me/gisandremotesenginglearn... How to Calculate Erosion & Accretion of a River for different time period using ArcGIS - part: 1: https://www.youtube.com/live/JeG7xutu... ML full palylist:    • Machine Learning   🛑 How to download satellite imagery and use it for LULC with Machine Learning using Python full playlist:    • LULC Python Machine learning   Google Earth Engine: 15 days Advanced online training syllabus:    • Registration is open for a private 15-days...   Online training on the R package for interacting with the Google Earth Engine syllabus:    • rgee: গুগল আর্থ ইঞ্জিনের সাথে ইন্টারঅ্যাক্...