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EEFA Earth Engine Fundamentals and Applications - Lab Survey
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Email
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Your email
Are you willing to be contacted by authors or editors if they want to clarify something in your review?
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Yes
No
What's your name (for if the authors want to contact you)? Please use the same name for each lab you review.
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Your answer
Just curious- where are you located?!
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Asia
Africa
North America
South America
Europe
Australia
Antarctica
Where would you rate your experience and skill with Earth Engine today?
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1. Novice- I'm new and learning and mostly able to keep up. Developing my vocabulary and basic tools
2. Advanced Beginner. I'm seeing some of these things for the second or third time. It's not all unfamiliar.
3. Moderate. I have seen much of this before, have coded scripts with several parts, and can see how the basic pieces fit together. I had never seen or properly understood some of the more specialized tools, but once exposed I have the background to understand their strengths or weaknesses for a given problem..
4. Proficient. If presented with a straightforward problem, I am confident that I could solve it with Earth Engine tools that I already know or could find.
5. Expert. I have already done most of everything I have seen here. If something is new to me, I can easily place it in context of other tools.
Which chapter?
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Choose
F1.0 JavaScript and the Earth Engine API
F1.1 Exploring Images
F1.2 Survey of Raster Datasets
F1.3 The Remote Sensing Vocabulary
F2.0 Image Manipulation: Bands, Arithmetic, Thresholds, and Masks
F2.1 Interpreting an Image: Classification
F2.2 Accuracy Assessment: Quantifying Classification Quality
F3.0 Interpreting an Image: Regression
F3.1 Advanced Pixel-based Image Transformation
F3.2 Neighborhood-based Image Transformation
F3.3 Object-based Image Analysis
F4.0 Filter, Map, Reduce
F4.1 Exploring Image Collections
F4.2 Aggregating Images for Time Series
F4.3 Clouds and Image Compositing
F4.4 Change Detection
F4.5 Interpreting Annual Time Series with LandTrendr
F4.6 Fitting Functions to Time Series
F4.7 Interpreting Time Series with CCDC
F4.8 Data Fusion: Merging Classification Streams
F4.9 Exploring Lagged Effects in Time Series
F5.0 Exploring Vectors
F5.1 Raster/Vector Conversions
F5.2 Zonal Statistics
F5.3 Advanced Vector Operations
F5.4 GEEDiT - Digitizing From Satellite Imagery
F6.0 Advanced Raster Visualization
F6.1 Collaborating in Earth Engine with Scripts and Assets
F6.2 Scaling up in Earth Engine
F6.3 Sharing Work in Earth Engine: Basic UI and Apps
F6.4 Combining R and Earth Engine
A1.1 Agricultural Environments
A1.2 Urban Environments
A1.3 Built Environments
A1.4 Air pollution and population exposure
A1.5 Heat Islands
A1.6 Health Applications
A1.7 Humanitarian Applications
A1.8 Monitoring Gold Mining Activity using SAR
A2.1 Groundwater monitoring with GRACE
A2.2 Benthic Habitats
A2.3 Surface Water Mapping
A2.4 River morphology
A2.5 Water Balance and Drought
A2.6 Defining Seasonality: First Date of No Snow
A3.1 Active fire monitoring
A3.2 Mangroves
A3.3 Mangroves II - Change Mapping
A3.4 Forest Degradation and Deforestation
A3.5 Deforestation Viewed from Multiple Sensors
A3.6 Working With GPS & Weather Data
A3.7 Creating Presence and Absence Points
A3.8 Detecting Land Cover Change in Rangelands
A3.9 Conservation I - Assessing the spatial relationship between burned area and precipitation
A3.10 Conservation II - Assessing Agricultural Intensification Near Protected Areas
'For Further Reading' document
Introductory Chapter
Level of Intellectual Difficulty of This Lab
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Very Easy
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Very Hard
In a few sentences please summarize, in your own words, what happens in this lab ...
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Your answer
Your personal interest in the subjects covered in this lab
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Low
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Very High
Total Time Spent (hours)
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Choose
0.5
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3
4
5
6
7
8
9
10
20
Should this lab be shorter or longer, in your opinion? What might be added or subtracted?
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Your answer
Efficiency of Learning: was it worth it to do this lab?
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Not efficient
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Efficient
Did you have enough accumulated knowledge to complete this lab?
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Yes
No
If you feel you did not have enough accumulated knowledge, what do you think was missing?
Your answer
What question(s) would you have asked to a teaching assistant, if one was available?
Your answer
We are making a glossary using terms that you report as unfamiliar. What terms did you encounter, if any, that were unfamiliar and would be good to see in a glossary? Separate them with commas if you have more than one. Please write only the terms themselves since we are generating the list automatically. Thanks!
Your answer
If the authors could improve this lab in one way, what would it be? Be specific if you can, and maybe it will happen!!
Your answer
Were you confused at some point in this lab? Here we mean things like "I could not understand what they were asking me to do" or "I never understood why they wanted me to do this part". If so, please specify and help us know how to make it better.
Your answer
Did the lab hold your interest all the way through? If not, where did you lose your interest and why?
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Your answer
Did anything at all not work in this lab? Example: missing data set, syntax error in pasted code, repeated timeout, figure doesn't match what you see, etc. Please note: if something did not work, please fill out a bug report at
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Something did not work
Every single thing worked as described.
If something did not work, please specify what it was so that we could fix it. Ex: missing data set, syntax error in pasted code, repeated timeout, figure doesn't match what you see, etc. If everything worked, you can leave this answer blank.
Your answer
What, if anything, did you learn in this lab?
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Your answer
What, if anything, was missing from this lab? Is there something you wish it had covered at this stage of your learning?
Your answer
Did anything in this lab help you better understand something you had seen in a previous lab? If so, what was it?
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Do you have anything more you would like to mention about this lab or the book?
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