Complete Remote Sensing Image Analysis with ENVI Software
- Description
- Curriculum
- FAQ
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Get this course for only 9.99! Use code DEC20B
Are you currently enrolled in my Fundamentals of Remote Sensing and Geospatial Analysis course and want to take your remote sensing knowledge to the next level?
Are you already familiar with the field of remote sensing and want to learn how to process images?
The next step for you is to gain proficiency in remote sensing data analysis using ENVI software!
Go from zero to hero in remote sensing satellite image processing!
My course provides a complete foundation to carry out practical and real life remote sensing image analysis processes using ENVI software. ENVI is the most widely used remote sensing and image analysis program within Industry and Research. In this course you will be using actual images and data from Landsat 8 and other popular satellites to give you hands on experience in image processing techniques. First we will go over the basic tools in ENVI and learn how to navigate the software. Then we will dive into and learn step by step the fundamental techniques in satellite remote sensing image processing such as:
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image mosaicing
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radiometric calibration
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multiple atmospheric correction techniques (Fast Line of Sight Atmospheric Analysis of Hypercubes and Dark Object Subtraction)
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supervised and unsupervised classification
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vegetation indies
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band ratios
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and many more!
Additional satellite images and data will be provided so that you can practice these techniques on your own. I will also provide you with additional resources that you can download and use in your future remote sensing career! We will also go over on how to locate and download FREE remote sensing satellite images!
Once you have learned the basics of ENVI we will go into intermediate and advanced ENVI remote sensing processes such as:
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hyperspectral data analysis
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image registration
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anomaly detection
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creating a burn index map
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mineral mapping from hyperspectral images
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spectral angle mapper
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time series analysis
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pansharpening and much more!
I hope that you ENROLL NOW and learn the remote sensing software that industry and research positions require! Start your remote sensing career here and learn the basics of remote sensing image analysis using ENVI software!
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1Downloading Satellite Imagery
Downloading satellite imagery from https://earthexplorer.usgs.gov
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2Unpacking Satellite Imagery Files
How to unzip satellite imagery files. June 19 2016, June 12 2016, and August 4 2015 data have been uploaded below. This way you can use the same data sets that I will be using throughout the course.
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3Opening Satellite Imagery in ENVI
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4Data Manager
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5Saving ENVI Files
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6Spatial and Spectral Subset
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7Layer Manager
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8Opening Saved ENVI Files
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9Exporting ENVI Satellite Images to Google Earth
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10Basic Tools 1
Cursor Value, Crosshairs, Select, Pan, Fly, Rotate View, Zoom, Fixed Zoom In, Fixed Zoom Out, Zoom to Full Extent, North Up,
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11Basic Tools 2
Arbitrary Profile, Spectral Profile, Scatter Plot Tool, Region of Interest (ROI) Tool, Feature Counting, "Go To" Box, Brightness, Contrast
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12Basic Tools 3
Stretching, Reset Stretch Type, Sharpen, Transparency, Mensuration, Portal, View Blend, View Flicker, View Swipe, Different Views
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13Toolbox
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14Edit ENVI Header
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15Spectral Library
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16Statistics
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17ENVI Help
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18Radiometric Calibration
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19Atmospheric Correction 1 (Fast Line-of-Sight Atmospheric Analysis of Hypercubes)
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20Atmospheric Correction 2 (Dark Object Subtraction)
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21Spectral Profile
Crosshair data values, Spectral Profile
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22Try radiometric calibration and atmospheric correction on your own
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23Preform Radiometric Calibration and Atmospheric Correction on June 12 2016 Image
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24Resize Data
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25Subset Data From ROI (Region of Interest)
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26Subset Data Based on Spectral Properties: Isolating Water
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27Lab1: Mastering ENVI Basics
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28Creating a Mask: An example with water
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29Creating a Mask: Masking out Clouds Quickly
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30Band Ratios
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31Band Math
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32NDVI
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33Lab2: Image Display Concepts
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34Change Detection Difference Map
We will be doing a change detection difference map between a subset of June 19 2016 image and the August 2015 Image. In a previous assignment you should have already preformed radiometric calibration and FLAASH atmospheric corrections on the August 4 2015 Image. Otherwise FLAASH atmospherically corrected August 4 2015 Image is provided below in a zip file.
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35Change Detection NDVI Map
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36Seamless Mosaic
We will be preforming a seamless mosaic between the June 19 2016 Landsat 8 Image and the June 12 2016 Landsat 8 Image to create once large image. In a previous assignment you should have radiometrically and atmospherically corrected the June 12 2016 Image. Otherwise the atmospherically corrected June 12 2016 image is attached below in a zip file for downloading.
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37Unsupervised Classification
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38Unsupervised Classification: Using Classification Workflow
A second way to preform unsupervised classification of your image
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39Supervised Classification
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40Pansharpening
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41Lab3: Classification
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