ENROLL IN THE COURSE TO LEARN ALL ABOUT BASIC SATELLITE REMOTE SENSING AND GIS ANALYSIS USING GOOGLE EARTH ENGINE (GEE)

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You won’t regret it!

You don't want to spend 100s and 1000s of dollars on buying commercial software for imagery analysis and GIS ?

The next step for you is to gain proficiency in satellite remote sensing data analysis and GIS using GEE, a cloud based endeavor by Google that can help process several petra-byte of imagery data

MY COURSE IS A HANDS ON TRAINING WITH REAL REMOTE SENSING AND GIS DATA ANALYSIS WITH GOOGLE EARTH ENGINE- A planetary-scale platform for Earth science data & analysis; powered by Google's cloud infrastructure. !

My course provides a foundation to carry out PRACTICAL, real-life remote sensing and GIS analysis tasks in this powerful cloud-supported paltform . By taking this course, you are taking an important step forward in your GIS journey to become an expert in geospatial analysis.

Why Should You Take My Course?

I am an Oxford University MPhil (Geography and Environment) graduate. I also completed a PhD at Cambridge University (Tropical Ecology and Conservation).

I have several years of experience in analyzing real life spatial remote sensing data from different sourcesand producing publications for international peer reviewed journals.

In this course, actual satellite remote sensing data such as Landsat from USGS and radar data from JAXA  will be used to give a practical hands-on experience of working with remote sensing and understanding what kind of questions remote  sensing can help us answer.

This course will ensure you learn & put remote sensing data analysis into practice today and increase your proficiency in geospatial analysis.

The course contains 3.5 hours of step-by-step videos lessons that will guide you through the process of becoming an expert in Google Earth Engine!

Pricing - Lifetime Access

Do you analyze Remote Sensing imagery for your work?

Do you need to perform GIS analysis in your professional/educational life? What are you waiting for? Checkout the curriculum and enroll now!
Enroll now and advance your skills

Course curriculum

  1. 01
  2. 02

    • Introduction to GEE

    • Sign Up to GEE

    • Exploring Google Earth Engine

    • Explore Datasets of Google Earth Engine

    • Satellite Datasets of GEE - The Catalog and the Code Editor
  3. 03

    • Basic JavaScript Programming for GEE

    • Import Image Collections

    • Display Images, a Landsat example

    • Feature Collection and Vector Data

    • Reading feature data from external sources

    • Reading Shape Files

    • Visualise Multi-band data

    • Visualise Vector Data with Raster data

    • Visualise Digital Elevation Models (DEM)
  4. 04

    • Buffer Operator

    • Clip Image on an vector

    • Raster Values Categorisation

    • Filter feature data

    • Filter raster data

    • Filter Landsat images based on path and row

    • Apply spatial filters to raster images

    • Socio-economic spatial analysis

    • Slope and Aspect generation from DEMs

    • Compute Zonal Statistics

    • Interactively define a Region Of Interest
  5. 05

    • Detect Edges using the Canny Filter

    • Resampling of Raster data

    • Change the spatial resolution of raster data

    • Raster Arithmetics or Bands Math

    • Thresholding

    • Vector to Raster conversion
  6. 06

    • Export to CSV

    • Export rasters

    • Night Light Application

    • Image Reduction

    • Linear Fit Image Reduction

    • Spectral Signature Visualisation over space and time

    • Extract and visualise time series
  7. 07

    • Downloadable Scripts to using in GEE

What will you learn?

  • Satellite data processing using Google Earth Engine

  • Pre-processing methods for raster data and images

  • Pre-processing methods for vector data

  • Implement GIS techniques in Google Earth Engine

Any Prerequisites?

  • Account in the Google Earth Engine (instructions are given inside the course)

  • Basic knowledge GIS and Remote Sensing operations

GEO Premium

Access our ENTIRE content with a yearly subscription only 8$/month

1 Year Access

Student Profile?

  • Under/post graduate students

  • Professionals and Companies

  • Master students and PhD candidates

  • Researchers and Academics

Some more information

  • Certificates of Completion

    After you successfully finish the course, you can claim your Certificate of Completion with NO extra cost! You can add it to your CV, LinkedIn profile etc

  • Available at any time! Study at your best time

    We know hard it is to acquire new skills. All our courses are self paced.

  • Online and always accessible

    Even when you finish the course and you get your certificate, you will still have access to course contents! Every time an Instructor makes an update you will be notified and be able to watch it for FREE

About your Instructor

I have completed a PhD in Forest Ecology and Conservation from the University of Cambridge, UK. In my PhD I used a combination of remote sensing data such as optical data, LiDAR, aerial imagery and radar data for quantifying the impact of forest cover change on carbon stocks and biodiversity in tropical Asia. I have worked extensively in different parts of tropical Asia- Malaysia, Laos, Cambodia and the Philippines. I used extensive statistical, machine learning and image processing techniques for my research and have an intermediate level proficiency in R and Python programming languages. I am also proficient in the use of GIS softwares like QGIS and ArcGIS and remote sensing tools like ENVI. I have several peer reviewed publications in well-regarded journals to my credit. Details of publications can be found here: https://www.researchgate.net/profile/Minerva_Singh In January 2017, I launched Minerva's Data Lab, an endeavor hat seeks to provide information, resources and training relating to machine learning, data science, spatial data analysis, geographic information system (GIS), remote sensing (Landsat, LiDAR, hyperspectral and radar data). I am available for 1-1 consulting, tutoring, training or general discussions about topics relating to R programming language, Python, Matlab, QGIS, ArcGIS and remote sensing tools such as IDRISI and ENVI.

Minerva Singh

Data Science and Spatial Data Analysis Expert

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