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 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:
image mosaicing
radiometric calibration
multiple atmospheric correction techniques (Fast Line of Sight Atmospheric Analysis of Hypercubes and Dark Object Subtraction)
supervised and unsupervised classification
vegetation indies
band ratios
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:
hyperspectral data analysis
image registration
anomaly detection
creating a burn index map
mineral mapping from hyperspectral images
spectral angle mapper
time series analysis
pansharpening and much more.
I hope that you Start your remote sensing career here and learn the basics of remote sensing image analysis using ENVI software.
Downloading satellite imagery from https://earthexplorer.usgs.gov
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.
Cursor Value, Crosshairs, Select, Pan, Fly, Rotate View, Zoom, Fixed Zoom In, Fixed Zoom Out, Zoom to Full Extent, North Up,
Arbitrary Profile, Spectral Profile, Scatter Plot Tool, Region of Interest (ROI) Tool, Feature Counting, "Go To" Box, Brightness, Contrast
Stretching, Reset Stretch Type, Sharpen, Transparency, Mensuration, Portal, View Blend, View Flicker, View Swipe, Different Views
Crosshair data values, Spectral Profile
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.
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.
A second way to preform unsupervised classification of your image
Project start to finish using ENVI tools we have learned so far. Simple way to look for surface algae blooms in a lake.
Spectral Angle Mapper (SAM) and Spectral Feature Fitting (SFF)
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