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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?

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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.

Enroll now

What's inside

Learning objectives

  • Use envi software for a variety of image processing techniques
  • Understand basic tools in envi
  • Radiometric calibration
  • Multiple atmospheric correction techniques
  • Classification of images
  • Downloading satellite data
  • Import and export images
  • Vegetation indices
  • How to apply band ratios and algorithms to your image
  • Image registration
  • Hyperspectral data analysis
  • Gdal and basemaps
  • Mosaic images
  • Anomaly detection
  • Pansharpen satellite images
  • Show more
  • Show less

Syllabus

Introduction and Sample Data

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. 

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Basic ENVI Tools
Opening Satellite Imagery in ENVI
Data Manager
Saving ENVI Files
Spatial and Spectral Subset
Layer Manager
Opening Saved ENVI Files
Exporting ENVI Satellite Images to Google Earth

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

Toolbox
Edit ENVI Header
Spectral Library
Statistics
ENVI Help
Atmospheric Corrections
Radiometric Calibration
Atmospheric Correction 1 (Fast Line-of-Sight Atmospheric Analysis of Hypercubes)
Atmospheric Correction 2 (Dark Object Subtraction)

Crosshair data values, Spectral Profile

Try radiometric calibration and atmospheric correction on your own
Preform Radiometric Calibration and Atmospheric Correction on June 12 2016 Image
Fundamental ENVI Remote Sensing Processes
Resize Data
Subset Data From ROI (Region of Interest)
Subset Data Based on Spectral Properties: Isolating Water
Lab1: Mastering ENVI Basics
Creating a Mask: An example with water
Creating a Mask: Masking out Clouds Quickly
Band Ratios
Band Math
NDVI
Lab2: Image Display Concepts

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.

Change Detection NDVI Map

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.

Unsupervised Classification

A second way to preform unsupervised classification of your image

Supervised Classification
Pansharpening
Lab3: Classification
Example Project

Project start to finish using ENVI tools we have learned so far. Simple way to look for surface algae blooms in a lake.

Intermediate and Advanced ENVI Processes
Converting Pixel Values to Surface Temperature
Image Change Detection
Image Registration
Anomaly Detection
Thematic Change Detection
Landsat Time Series
Burn Indicies
Mosaic (Advanced Workflow)
Lab 4: Reprojection, Registration, Mosaicking
Classification (Intermediate/Advanced)
General Classification
Classification 1: Create an Attribute Image
Classification 2: Collect Training Data
Hyperspectral Analysis
Preprocessing AVRIS Data
Hyperspectral Vegetation Indicies

Spectral Angle Mapper (SAM) and Spectral Feature Fitting (SFF)

Making a Satellite Image Basemap for MapTiler
Install MapTiler
Install GDAL (Anaconda)
Create an RGB Pansharpened Satellite Image
Convert NITF File to MBTILES Format in GDAL

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops skills highly relevant to industry and research
Covers core skills for remote sensing image analysis
Takes a practical and applied approach
Taught by an instructor who is recognized in the field
Builds an existing foundation for intermediate learners
May require previous experience with ENVI software

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Save Complete Remote Sensing Image Analysis with ENVI Software to your list so you can find it easily later:
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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Complete Remote Sensing Image Analysis with ENVI Software with these activities:
Review fundamental remote sensing concepts
Strengthen your foundation by revisiting the core principles of remote sensing.
Browse courses on Remote Sensing
Show steps
  • Read articles or textbooks on remote sensing basics.
  • Review your notes or previous course materials.
  • Complete practice questions or exercises.
Identify a mentor in the field of remote sensing
Accelerate your progress by seeking guidance and support from an experienced professional.
Browse courses on Remote Sensing
Show steps
  • Attend industry events or join online communities.
  • Identify individuals with expertise in your areas of interest.
  • Reach out to potential mentors and request their guidance.
Compile a collection of remote sensing resources
Enhance your knowledge by gathering and organizing valuable resources related to remote sensing.
Browse courses on Remote Sensing
Show steps
  • Search for articles, tutorials, and datasets related to remote sensing.
  • Bookmark or save the resources for future reference.
  • Categorize and organize the resources.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete ENVI tutorial exercises
Reinforce your understanding of ENVI's software functionality by completing guided tutorials.
Browse courses on Image Processing
Show steps
  • Access the ENVI tutorial guide online.
  • Follow the step-by-step instructions for each exercise.
  • Complete the exercises to familiarize yourself with ENVI's tools and techniques.
Analyze satellite imagery of your local area
Apply your ENVI skills to a real-world project by analyzing satellite imagery of your local area.
Browse courses on Remote Sensing
Show steps
  • Identify an area of interest and acquire satellite imagery.
  • Import the imagery into ENVI and perform basic image processing tasks.
  • Identify and classify different land cover types using supervised classification.
  • Interpret your results and create a map or report.
Follow online tutorials on advanced ENVI techniques
Enhance your ENVI skills by exploring specialized tutorials on advanced image processing techniques.
Browse courses on Image Processing
Show steps
  • Identify reputable sources for online tutorials.
  • Select tutorials that align with your learning goals.
  • Follow the instructions and complete the exercises provided.
Attend a remote sensing conference or workshop
Expand your network and stay updated on advancements in the field by participating in industry events.
Browse courses on Remote Sensing
Show steps
  • Identify and register for relevant conferences or workshops.
  • Attend presentations, engage in discussions, and connect with professionals.
  • Exchange ideas and learn about new technologies and applications.
Mentoring in ENVI image processing
Deepen your understanding by guiding other learners in their journey with ENVI.
Browse courses on Image Processing
Show steps
  • Identify opportunities to mentor others, such as online forums or study groups.
  • Share your knowledge and expertise with those seeking assistance.
  • Provide constructive feedback to help others improve their skills.

Career center

Learners who complete Complete Remote Sensing Image Analysis with ENVI Software will develop knowledge and skills that may be useful to these careers:
Remote Sensing Scientist
A Remote Sensing Scientist applies their knowledge of remote sensing and image analysis to extract meaningful information from satellite imagery. This course's in-depth exploration of ENVI software, a widely-used industry standard in remote sensing, will help build a foundation that allows these scientists to succeed in their day-to-day tasks. It also covers techniques such as atmospheric correction, classification, and change detection, which are essential for accurate image analysis in this field.
Geospatial Analyst
A Geospatial Analyst uses geographic information systems (GIS) and remote sensing to analyze and visualize spatial data. This course will be of particular use to Geospatial Analysts who wish to expand their knowledge of remote sensing techniques and software. They will benefit from its focus on ENVI's tools and capabilities, enabling them to enhance their skillset and advance their careers.
Environmental Scientist
An Environmental Scientist uses scientific principles to protect the environment and human health. This course could be useful for those working in remote sensing applications within environmental science, providing them with valuable knowledge and skills. They will gain expertise in image processing, analysis, and interpretation, equipping them to make informed decisions and develop effective environmental management strategies.
GIS Specialist
A GIS Specialist uses GIS software to create and analyze maps and other geospatial data. This course may be beneficial for GIS Specialists who wish to incorporate remote sensing into their work. They will gain practical experience using ENVI software, enabling them to enhance their capabilities in data analysis, visualization, and problem-solving.
Natural Resource Manager
A Natural Resource Manager plans and manages the use of natural resources, such as forests, water, and wildlife. This course may be helpful for Natural Resource Managers who want to enhance their understanding of remote sensing and its applications in resource management. They will gain knowledge of image processing and analysis techniques, enabling them to monitor resources, assess environmental impacts, and make informed decisions.
Hydrologist
A Hydrologist studies the movement and distribution of water on, above, and below the Earth's surface. This course may be beneficial for Hydrologists who want to use remote sensing to monitor and analyze water resources. They will gain expertise in image processing and analysis, enabling them to assess water quality, identify water bodies, and track water flow patterns.
Cartographer
A Cartographer creates and designs maps. This course may be useful for Cartographers who want to incorporate remote sensing data into their maps. They will gain knowledge of image processing and analysis techniques, enabling them to create more accurate and informative maps that effectively communicate geospatial information.
Forester
A Forester manages forests and forest resources. This course may be beneficial for Foresters who want to use remote sensing to monitor and manage forests. They will gain expertise in image processing and analysis, enabling them to assess forest health, identify tree species, and track deforestation patterns.
Geologist
A Geologist studies the Earth's physical structure and history. This course may be useful for Geologists who want to use remote sensing to study the Earth's surface. They will gain knowledge of image processing and analysis techniques, enabling them to identify geological features, map rock formations, and assess mineral deposits.
Oceanographer
An Oceanographer studies the oceans and other bodies of water. This course may be beneficial for Oceanographers who want to use remote sensing to study the oceans. They will gain expertise in image processing and analysis, enabling them to monitor ocean currents, track marine life, and assess water quality.
Agronomist
An Agronomist studies the science of crop production. This course may be useful for Agronomists who want to use remote sensing to monitor and manage crops. They will gain knowledge of image processing and analysis techniques, enabling them to assess crop health, identify pests and diseases, and make informed decisions about crop management.
Soil Scientist
A Soil Scientist studies the properties and management of soils. This course may be beneficial for Soil Scientists who want to use remote sensing to analyze soils. They will gain expertise in image processing and analysis, enabling them to identify soil types, assess soil health, and monitor soil erosion.
Planner
A Planner develops and implements plans for land use and development. This course may be useful for Planners who want to incorporate remote sensing data into their planning processes. They will gain knowledge of image processing and analysis techniques, enabling them to assess land use patterns, identify potential development areas, and create more sustainable and informed plans.
Science Teacher
A Science Teacher teaches science at the secondary or post-secondary level. This course may be beneficial for Science Teachers who want to incorporate remote sensing into their teaching. They will gain knowledge of image processing and analysis techniques, enabling them to create engaging and informative lessons that demonstrate the practical applications of remote sensing in various fields.
Environmental Consultant
An Environmental Consultant provides advice and guidance on environmental issues. This course may be helpful for Environmental Consultants who want to use remote sensing to support their work. They will gain knowledge of image processing and analysis techniques, enabling them to assess environmental impacts, identify pollution sources, and develop mitigation strategies.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Complete Remote Sensing Image Analysis with ENVI Software.
Provides a comprehensive overview of the field of remote sensing, including the acquisition, processing, and interpretation of remotely sensed data. It valuable resource for students, researchers, and professionals in the field.
Provides a comprehensive introduction to the field of remote sensing, including the principles, techniques, and applications of remote sensing. It valuable resource for students, researchers, and professionals in the field.
Covers the use of remote sensing to monitor and manage the environment, including the use of remote sensing to study land use, water resources, and the atmosphere. It valuable resource for students, researchers, and professionals in the field.
Provides a comprehensive overview of the principles and applications of satellite remote sensing. It valuable resource for students, researchers, and professionals in the field.
Provides a comprehensive overview of the field of geospatial analysis, including the principles, techniques, and applications of geospatial analysis. It valuable resource for students, researchers, and professionals in the field.
Provides a comprehensive overview of the statistical methods used in the analysis of remote sensing data. It valuable resource for students, researchers, and professionals in the field.

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