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Ollie Ballinger
2023-04-17 12:03:07 +01:00
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chapters/index.log
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This is XeTeX, Version 3.141592653-2.6-0.999994 (TeX Live 2022) (preloaded format=xelatex 2022.10.26) 17 APR 2023 11:43
This is XeTeX, Version 3.141592653-2.6-0.999994 (TeX Live 2022) (preloaded format=xelatex 2022.10.26) 17 APR 2023 12:00
entering extended mode
restricted \write18 enabled.
%&-line parsing enabled.

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chapters/index.qmd
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@@ -18,18 +18,18 @@ Despite only being released in 2015, the number of geospatial journal articles u
A) **Introduction**
* Two introductory chapters that provide an overview of remote sensing the different types of satellite imagery available on Google Earth Engine.
* [Remote Sensing](chapters/A2_Remote_Sensing.qmd)
* [Data Acquisition](chapters/A3_Data_Acquisition.qmd)
* [Remote Sensing](A2_Remote_Sensing.qmd)
* [Data Acquisition](A3_Data_Acquisition.qmd)
B) **Google Earth Engine**
* Recently, a team of over 100 scientists came together to write a book called ["Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications"](https://www.eefabook.org/). It's a great resource for learning about remote sensing and Earth Engine. The material in this section is a subset of the book, edited to fit the scope of this guide. If you're interested in learning more, check out the full book.
* [Getting Started](chapters/B1_Getting_Started.qmd)
* [Interpreting Images](chapters/B2_Interpreting_Images.qmd)
* [Image Series](chapters/B3_Image_Series.qmd)
* [Vectors and Tables](chapters/B4_Vectors_Tables.qmd)
* [Getting Started](B1_Getting_Started.qmd)
* [Interpreting Images](B2_Interpreting_Images.qmd)
* [Image Series](B3_Image_Series.qmd)
* [Vectors and Tables](B4_Vectors_Tables.qmd)
C) **Case Studies**
* A series of case studies that demonstrate how to use Google Earth Engine for open source investigations. Each case study includes a brief introduction to the topic, a step-by-step guide to using Google Earth Engine to analyze satellite imagery, and a discussion of the results.
* [War at Night](chapters/C1_Lights.qmd)
* [Refinery Identification](chapters/C2_Refineries.qmd)
* [Blast Damage Assessment](chapters/C3_Blast.qmd)
* [Ship Detection](chapters/C4_Ships.qmd)
* [Object Detection](chapters/C5_Object_Detection.qmd)
* [War at Night](C1_Lights.qmd)
* [Refinery Identification](C2_Refineries.qmd)
* [Blast Damage Assessment](C3_Blast.qmd)
* [Ship Detection](C4_Ships.qmd)
* [Object Detection](C5_Object_Detection.qmd)

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chapters/index.tex
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@@ -219,7 +219,7 @@
\begin{document}
\maketitle
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\ifdefined\Shaded\renewenvironment{Shaded}{\begin{tcolorbox}[enhanced, breakable, sharp corners, frame hidden, borderline west={3pt}{0pt}{shadecolor}, boxrule=0pt, interior hidden]}{\end{tcolorbox}}\fi
\renewcommand*\contentsname{Table of contents}
{
@@ -317,9 +317,9 @@ resources; all you need is an internet connection.
\begin{itemize}
\tightlist
\item
\href{chapters/A2_Remote_Sensing.qmd}{Remote Sensing}
\protect\hyperlink{remote-sensing}{Remote Sensing}
\item
\href{chapters/A3_Data_Acquisition.qmd}{Data Acquisition}
\protect\hyperlink{data-acquisition}{Data Acquisition}
\end{itemize}
\end{itemize}
\item
@@ -339,13 +339,13 @@ resources; all you need is an internet connection.
\begin{itemize}
\tightlist
\item
\href{chapters/B1_Getting_Started.qmd}{Getting Started}
\protect\hyperlink{getting-started}{Getting Started}
\item
\href{chapters/B2_Interpreting_Images.qmd}{Interpreting Images}
\protect\hyperlink{interpreting-images}{Interpreting Images}
\item
\href{chapters/B3_Image_Series.qmd}{Image Series}
\protect\hyperlink{image-series}{Image Series}
\item
\href{chapters/B4_Vectors_Tables.qmd}{Vectors and Tables}
\protect\hyperlink{vectors-and-tables}{Vectors and Tables}
\end{itemize}
\end{itemize}
\item
@@ -363,15 +363,17 @@ resources; all you need is an internet connection.
\begin{itemize}
\tightlist
\item
\href{chapters/C1_Lights.qmd}{War at Night}
\protect\hyperlink{war-at-night}{War at Night}
\item
\href{chapters/C2_Refineries.qmd}{Refinery Identification}
\protect\hyperlink{refinery-identification}{Refinery
Identification}
\item
\href{chapters/C3_Blast.qmd}{Blast Damage Assessment}
\protect\hyperlink{blast-damage-assessment}{Blast Damage
Assessment}
\item
\href{chapters/C4_Ships.qmd}{Ship Detection}
\protect\hyperlink{ship-detection}{Ship Detection}
\item
\href{chapters/C5_Object_Detection.qmd}{Object Detection}
\protect\hyperlink{object-detection}{Object Detection}
\end{itemize}
\end{itemize}
\end{enumerate}
@@ -1376,7 +1378,7 @@ Coverage
\hypertarget{programming-basics}{%
\section{Programming Basics}\label{programming-basics}}
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\hypertarget{author}{%
\subsection*{Author}\label{author}}
@@ -1777,7 +1779,7 @@ Congratulations! You have learned enough JavaScript to be able to use
the Earth Engine API. In the next section, you will see how to access
and execute Earth Engine API functions using JavaScript.
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Code Checkpoint F10a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -1901,7 +1903,7 @@ indeed contains the list of years with the correct interval.
You just accomplished a moderately complex programming task with the
help of Earth Engine API.
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Code Checkpoint F10b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -1923,7 +1925,7 @@ scripts for remote sensing analysis.
\hypertarget{exploring-images}{%
\section{Exploring Images}\label{exploring-images}}
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\hypertarget{author-1}{%
\subsection*{Author}\label{author-1}}
@@ -2208,7 +2210,7 @@ the order of the layers in the list to the sequence of operations in
your script. What layer did your script add first and where does this
appear in the layering order on the map?
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Code Checkpoint F11a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -2388,7 +2390,7 @@ composites}
\end{figure}
\begin{tcolorbox}[enhanced jigsaw, arc=.35mm, breakable, leftrule=.75mm, toptitle=1mm, opacitybacktitle=0.6, colback=white, titlerule=0mm, coltitle=black, bottomtitle=1mm, colbacktitle=quarto-callout-note-color!10!white, opacityback=0, rightrule=.15mm, colframe=quarto-callout-note-color-frame, bottomrule=.15mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, left=2mm, toprule=.15mm]
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Code Checkpoint F11b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -2599,7 +2601,7 @@ value of each band. This will empower you to employ false-color
composites as a flexible and powerful method to explore and interpret
geographic patterns and changes on Earth's surface.
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Code Checkpoint F11c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -2633,7 +2635,7 @@ about the location, date collected, and other properties of each image,
allowing you to sift through the ImageCollection for the exact image
characteristics needed for your analysis.
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\hypertarget{authors}{%
\subsection*{Authors}\label{authors}}
@@ -2809,7 +2811,7 @@ and information to the screen for too many elements}
\end{figure}
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Code Checkpoint F12a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -2978,7 +2980,7 @@ level of 7 (zoom levels go from 0 to 24).
\end{figure}
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Code Checkpoint F12b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -3099,7 +3101,7 @@ previous section (Fig. F1.2.6). Zoom in and out and pan the screen as
needed. What do you notice? Save your script but don't start a new
one---we will keep adding code to this script.
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Code Checkpoint F12c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -3149,7 +3151,7 @@ Central Africa? Northern Australia?
\end{figure}
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Code Checkpoint F12d. The book's repository contains a script that shows
what your code should look like at this point.
@@ -3306,7 +3308,7 @@ is shown in red)?
\end{figure}
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Code Checkpoint F12f. The book's repository contains a script that shows
what your code should look like at this point.
@@ -3346,7 +3348,7 @@ in order to make these features more visible. Save your script.
Fig. F1.2.18. NASADEM elevation
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Code Checkpoint F12g. The book's repository contains a script that shows
what your code should look like at this point.
@@ -3391,7 +3393,7 @@ Earth Engine. Remote Sens 13:1--23. https://doi.org/10.3390/rs13010010
\section{The Remote Sensing
Vocabulary}\label{the-remote-sensing-vocabulary}}
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\hypertarget{authors-1}{%
\subsection*{Authors}\label{authors-1}}
@@ -3716,7 +3718,7 @@ with large-sized pixels are also called ``coarse resolution,'' those
with medium-sized pixels are also called ``moderate resolution,'' and
those with small-sized pixels are also called ``fine resolution.''
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Code Checkpoint F13a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -3882,7 +3884,7 @@ just produced (Fig. F1.3.15). Both cover a period of six months, yet
there are many more points through time for the Sentinel-2 satellite,
reflecting the greater temporal resolution.
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Code Checkpoint F13b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -4073,7 +4075,7 @@ F1.3.19.
Compare this hyperspectral instrument chart with the multispectral chart
we plotted above for MODIS.
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Code Checkpoint F13c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -4126,7 +4128,7 @@ false-color image with the QA60 band to see these values. More
information about how to interpret these complex values is given in
Chap. F4.3, which explains the treatment of clouds.
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Code Checkpoint F13d. The book's repository contains a script that shows
what your code should look like at this point.
@@ -4176,7 +4178,7 @@ properties using the get function, and printed to the Console.
\end{Highlighting}
\end{Shaded}
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Code Checkpoint F13e. The book's repository contains a script that shows
what your code should look like at this point.
@@ -4220,7 +4222,7 @@ interpreting the results.
\section{Image Manipulation: Bands, Arithmetic, Thresholds, and
Masks}\label{image-manipulation-bands-arithmetic-thresholds-and-masks}}
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\hypertarget{author-2}{%
\subsubsection*{Author}\label{author-2}}
@@ -4571,7 +4573,7 @@ higher water content.
\end{figure}
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Code Checkpoint F20a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -4910,7 +4912,7 @@ have more layers in your Inspector.}
\end{figure}
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Code Checkpoint F20b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -4993,7 +4995,7 @@ Amazon. Remote Sens 5:5493--5513. https://doi.org/10.3390/rs5115493
\section{Interpreting an Image:
Classification}\label{interpreting-an-image-classification}}
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\hypertarget{author-3}{%
\subsubsection*{Author}\label{author-3}}
@@ -5302,7 +5304,7 @@ developed, water, and herbaceous (Fig. F2.1.8).
\end{figure}
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Code Checkpoint F21a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -5574,7 +5576,7 @@ on accuracy metrics.
\end{figure}
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Code Checkpoint F21b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -5718,7 +5720,7 @@ classification results (see Code Checkpoint below for an example).
Another key point of classification is the accuracy assessment of the
results. This will be covered in Chap. F2.2.
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Code Checkpoint F21c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -5773,7 +5775,7 @@ tools and techniques. In: Data Mining. pp 4
\section{Accuracy Assessment: Quantifying Classification
Quality}\label{accuracy-assessment-quantifying-classification-quality}}
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\hypertarget{author-4}{%
\subsubsection*{Author}\label{author-4}}
@@ -6164,7 +6166,7 @@ compared to the others? Can you think of any reasons why? (Hint: Check
where the errors in these classes are in the confusion matrix---i.e.,
being committed and omitted.)
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Code Checkpoint F22a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -6225,7 +6227,7 @@ trees}
\end{figure}
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Code Checkpoint F22b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -6244,7 +6246,7 @@ following Code Checkpoint replicates Sect. 1 but with a spatial join
that excludes training points that are less than 1000 meters distant
from testing points.
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Code Checkpoint F22c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -6316,7 +6318,7 @@ to understand the status of places across decades.
\hypertarget{filter-map-reduce}{%
\section{Filter, Map, Reduce}\label{filter-map-reduce}}
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\hypertarget{author-5}{%
\subsubsection*{Author}\label{author-5}}
@@ -6652,7 +6654,7 @@ you narrowed geographically first, it is good practice in Earth Engine
to order the filters with the filterBounds first, followed by metadata
filters in order of decreasing specificity.
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Code Checkpoint F40a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -6789,7 +6791,7 @@ opening and closing the list of items. When you open that tag, you will
see a chart of the EVI values at that pixel, created by mapping the
makeLandsat5EVI function over the filtered ImageCollection.
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Code Checkpoint F40b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -6869,7 +6871,7 @@ subsequent chapters in Part F4, you will see other kinds of
reducers---for example, ones that summarize the characteristics in the
neighborhood surrounding each pixel.
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Code Checkpoint F40c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -6900,7 +6902,7 @@ ability to do sophisticated projects in Earth Engine.
\section{Exploring Image
Collections}\label{exploring-image-collections}}
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\hypertarget{author-6}{%
\subsubsection*{Author}\label{author-6}}
@@ -7043,7 +7045,7 @@ tab, assuming the same pixel is clicked.
\end{Highlighting}
\end{Shaded}
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Code Checkpoint F41a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -7133,7 +7135,7 @@ want to use a different reducer, such as a median operation, that would
give different, useful answers for each band. A few of these reducers
are described below.
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Code Checkpoint F41b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -7192,7 +7194,7 @@ curious about which reducers can be used to summarize band values across
a collection of images, use the Docs tab in the Code Editor to list all
reducers and look for those beginning with ee.Reducer.
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Code Checkpoint F41c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -7294,7 +7296,7 @@ in image collections in a frequency domain. Exploring these values in
different forms should be the first step of any study before developing
data analysis algorithms.
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Code Checkpoint F41d. The book's repository contains a script that shows
what your code should look like at this point.
@@ -7328,7 +7330,7 @@ Biol 14:e1002415. https://doi.org/10.1371/journal.pbio.1002415
\section{Aggregating Images for Time
Series}\label{aggregating-images-for-time-series}}
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\hypertarget{author-7}{%
\subsubsection*{Author}\label{author-7}}
@@ -7464,7 +7466,7 @@ Let's aggregate this collection so that we have 12 images---one image
per month, with pixel values that represent the total precipitation for
that month.
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Code Checkpoint F42a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -7544,7 +7546,7 @@ We will use the millis function in the next section when we need to set
the system:time\_start and system:time\_end properties of the aggregated
images.
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Code Checkpoint F42b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -7638,7 +7640,7 @@ ImageCollection (Fig. F4.2.2).
\end{figure}
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Code Checkpoint F42c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -7727,7 +7729,7 @@ monsoon season lasting from June to September.
\end{figure}
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Code Checkpoint F42d. The book's repository contains a script that shows
what your code should look like at this point.
@@ -7768,7 +7770,7 @@ Remote Sensing Symposium (IGARSS). pp 3414--3416
\section{Clouds and Image
Compositing}\label{clouds-and-image-compositing}}
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\hypertarget{author-8}{%
\subsubsection*{Author}\label{author-8}}
@@ -8165,7 +8167,7 @@ to better see them). Again, if the time period is not a constraint for
the creation of your composite, you can incorporate more images from a
third year, and so on.
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Code Checkpoint F43a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -8359,7 +8361,7 @@ composite (right) for 2019. Inset centered at latitude 3.6023, longitude
\end{figure}
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Code Checkpoint F43b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -8388,7 +8390,7 @@ compositing approach can be found in Griffiths et al.~(2013), and
detailed information on tuning parameters can be found in White et
al.~(2014).
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Code Checkpoint F43c. The book's repository contains information about
accessing the GEE-BAP interface and its related functions.
@@ -8547,7 +8549,7 @@ into a new script.
\end{figure}
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Code Checkpoint F43d. The book's repository contains a script that shows
what your code should look like at this point.
@@ -8685,7 +8687,7 @@ https://doi.org/10.1016/j.rse.2011.10.028
\hypertarget{change-detection}{%
\section{Change Detection}\label{change-detection}}
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\hypertarget{author-9}{%
\subsubsection*{Author}\label{author-9}}
@@ -9014,7 +9016,7 @@ the built-in rename function.
\end{Highlighting}
\end{Shaded}
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Code Checkpoint F44a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -9174,7 +9176,7 @@ algorithms that go beyond differencing and thresholding between two
images, instead allowing you to analyze changes indicated across several
images as a time series.
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Code Checkpoint F44b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -9250,7 +9252,7 @@ https://doi.org/10.1016/j.rse.2019.111558
\section{Interpreting Annual Time Series with
LandTrendr}\label{interpreting-annual-time-series-with-landtrendr}}
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\hypertarget{author-10}{%
\subsubsection*{Author}\label{author-10}}
@@ -9324,7 +9326,7 @@ in some of the chapters that follow this one.
For this lab, we will use a graphical user interface (GUI) to teach the
concepts of LandTrendr.
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Code Checkpoint F45a. The book's repository contains information about
accessing the LandTrendr interface.
@@ -9794,7 +9796,7 @@ https://doi.org/10.3390/rs10050691
\section{Fitting Functions to Time
Series}\label{fitting-functions-to-time-series}}
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\hypertarget{author-11}{%
\subsubsection*{Author}\label{author-11}}
@@ -10106,7 +10108,7 @@ analyses can be done to the time series by harnessing Earth Engine tools
for fitting curves through this data. We will see a couple of examples
in the following sections.
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Code Checkpoint F46a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -10224,7 +10226,7 @@ trendlines parameter (Fig. F4.6.5).
\end{figure}
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Code Checkpoint F46b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -10403,7 +10405,7 @@ values of a pixel, you will not get values of phase, amplitude, and
NDVI, but the transformed values into values of blue, green, and red
colors.
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Code Checkpoint F46c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -10471,7 +10473,7 @@ in the image. Using different elements of the fit, these two views, like
other combinations of the data you might imagine, can reveal the rich
variability of the landscape around Modesto.
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Code Checkpoint F46d. The book's repository contains a script that shows
what your code should look like at this point.
@@ -10489,7 +10491,7 @@ Modeling multiple waves within a given year can be done by adding more
harmonic terms to Eq. F4.6.2. The code at the following checkpoint
allows the fitting of any number of cycles through a given point.
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Code Checkpoint F46e. The book's repository contains a script to use to
begin this section. You will need to start with that script and edit the
@@ -10565,7 +10567,7 @@ https://doi.org/10.1016/j.rse.2019.02.003
\section{Interpreting Time Series with
CCDC}\label{interpreting-time-series-with-ccdc}}
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\hypertarget{author-12}{%
\subsubsection*{Author}\label{author-12}}
@@ -10677,7 +10679,7 @@ created an interface-based tool (Arévalo et al.~2020) that facilitates
the exploration of time series of Landsat observations and the CCDC
results.
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Code Checkpoint F47a. The book's repository contains information about
accessing the CCDC interface.
@@ -10887,7 +10889,7 @@ exercise would take approximately 30 minutes on average to export, but
larger tiles may take several hours to complete, depending on the number
of images in the collection and the parameters used.
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Code Checkpoint F47b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -11110,7 +11112,7 @@ the selected study period}
\end{figure}
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Code Checkpoint F47c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -11260,7 +11262,7 @@ by the CCDC algorithm for the origin (e.g., time 0), and not for the
year we requested. In order to retrieve the adjusted intercept, as well
as other coefficients, we will use a different approach.
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Code Checkpoint F47d. The book's repository contains a script that shows
what your code should look like at this point.
@@ -11448,7 +11450,7 @@ for the requested date}
\end{figure}
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Code Checkpoint F47e. The book's repository contains a script that shows
what your code should look like at this point.
@@ -11509,7 +11511,7 @@ of land cover using all available Landsat data. Remote Sens Environ
\section{Data Fusion: Merging Classification
Streams}\label{data-fusion-merging-classification-streams}}
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\hypertarget{author-13}{%
\subsubsection*{Author}\label{author-13}}
@@ -11709,7 +11711,7 @@ In the thumbnail sequence, the color palette shows Forest (class 1) as
green, Water (class 2) as blue, and Active Agriculture (class 3) as
yellow. Areas with no data in a particular Event are shown in black.
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Code Checkpoint F48a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -12081,7 +12083,7 @@ second stage, the meaning of those changes and any changes to LULC
classes are identified. We will explore the workings of BULC-D using its
GUI.
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Code Checkpoint F48c. The book's repository contains information about
accessing that interface.
@@ -12497,7 +12499,7 @@ Journey. Anchor
\section{Exploring Lagged Effects in Time
Series}\label{exploring-lagged-effects-in-time-series}}
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\hypertarget{author-14}{%
\subsubsection*{Author}\label{author-14}}
@@ -12892,7 +12894,7 @@ course, that images list will fill up with all the images that are
within lag of t. Those other images are also useful---for example, in
fitting autoregressive models as described later.
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Code Checkpoint F49a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -13010,7 +13012,7 @@ As long as there is sufficient temporal overlap between the time series,
these techniques could be extended to longer lags and longer time
series.
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Code Checkpoint F49b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -13139,7 +13141,7 @@ At this stage, note that the missing data has become a real problem. Any
data point for which at least one of the previous points is masked or
missing is also masked.
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Code Checkpoint F49c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -13151,7 +13153,7 @@ equation F4.9.1 (the modeled value) for the missing or masked data.
Unfortunately, the code to make that happen is not straightforward. You
can check a solution in the following Code Checkpoint:
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Code Checkpoint F49d. The book's repository contains a script that shows
what your code should look like at this point.
@@ -13202,7 +13204,7 @@ vector data, and how to combine vector and raster data for analyses.
\hypertarget{exploring-vectors}{%
\section{Exploring Vectors}\label{exploring-vectors}}
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\hypertarget{author-15}{%
\subsubsection*{Author}\label{author-15}}
@@ -13360,7 +13362,7 @@ the Imports section of the code at the top of your script}
\end{figure}
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Code Checkpoint F50a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -13508,7 +13510,7 @@ Note that if you have any trouble with loading the FeatureCollection
using the technique above, you can follow directions in the Checkpoint
script below to use an existing asset loaded for this exercise.
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Code Checkpoint F50b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -13632,7 +13634,7 @@ Both of the above sections of code provide meaningful information about
each feature, but they do not tell us which block is the most green. The
next section will address that question.
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Code Checkpoint F50c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -13780,7 +13782,7 @@ After you run the task, the file will be saved to your Google Drive. You
have now brought a feature into Earth Engine and also exported data from
Earth Engine.
\begin{tcolorbox}[enhanced jigsaw, arc=.35mm, breakable, leftrule=.75mm, toptitle=1mm, opacitybacktitle=0.6, colback=white, titlerule=0mm, coltitle=black, bottomtitle=1mm, colbacktitle=quarto-callout-note-color!10!white, opacityback=0, rightrule=.15mm, colframe=quarto-callout-note-color-frame, bottomrule=.15mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, left=2mm, toprule=.15mm]
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Code Checkpoint F50d. The book's repository contains a script that shows
what your code should look like at this point.
@@ -13828,7 +13830,7 @@ USF.
\end{Highlighting}
\end{Shaded}
\begin{tcolorbox}[enhanced jigsaw, arc=.35mm, breakable, leftrule=.75mm, toptitle=1mm, opacitybacktitle=0.6, colback=white, titlerule=0mm, coltitle=black, bottomtitle=1mm, colbacktitle=quarto-callout-note-color!10!white, opacityback=0, rightrule=.15mm, colframe=quarto-callout-note-color-frame, bottomrule=.15mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, left=2mm, toprule=.15mm]
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Code Checkpoint F50e. The book's repository contains a script that shows
what your code should look like at this point.
@@ -13852,7 +13854,7 @@ using vector features in Earth Engine.
\hypertarget{rastervector-conversions}{%
\section{Raster/Vector Conversions}\label{rastervector-conversions}}
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\hypertarget{author-16}{%
\subsubsection*{Author}\label{author-16}}
@@ -14202,7 +14204,7 @@ samples for a validation effort.
\end{figure}
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Code Checkpoint F51a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -14420,7 +14422,7 @@ of interest, such as only the largest deforestation events:
\end{Highlighting}
\end{Shaded}
\begin{tcolorbox}[enhanced jigsaw, arc=.35mm, breakable, leftrule=.75mm, toptitle=1mm, opacitybacktitle=0.6, colback=white, titlerule=0mm, coltitle=black, bottomtitle=1mm, colbacktitle=quarto-callout-note-color!10!white, opacityback=0, rightrule=.15mm, colframe=quarto-callout-note-color-frame, bottomrule=.15mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, left=2mm, toprule=.15mm]
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Code Checkpoint F51b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -14508,7 +14510,7 @@ change.
\end{Highlighting}
\end{Shaded}
\begin{tcolorbox}[enhanced jigsaw, arc=.35mm, breakable, leftrule=.75mm, toptitle=1mm, opacitybacktitle=0.6, colback=white, titlerule=0mm, coltitle=black, bottomtitle=1mm, colbacktitle=quarto-callout-note-color!10!white, opacityback=0, rightrule=.15mm, colframe=quarto-callout-note-color-frame, bottomrule=.15mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, left=2mm, toprule=.15mm]
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Code Checkpoint F51c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -14604,7 +14606,7 @@ This output can be useful when performing large-scale raster operations,
such as efficiently calculating deforestation rates for multiple
protected areas.
\begin{tcolorbox}[enhanced jigsaw, arc=.35mm, breakable, leftrule=.75mm, toptitle=1mm, opacitybacktitle=0.6, colback=white, titlerule=0mm, coltitle=black, bottomtitle=1mm, colbacktitle=quarto-callout-note-color!10!white, opacityback=0, rightrule=.15mm, colframe=quarto-callout-note-color-frame, bottomrule=.15mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, left=2mm, toprule=.15mm]
\begin{tcolorbox}[enhanced jigsaw, colbacktitle=quarto-callout-note-color!10!white, left=2mm, coltitle=black, colback=white, bottomtitle=1mm, bottomrule=.15mm, opacityback=0, titlerule=0mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, rightrule=.15mm, breakable, arc=.35mm, opacitybacktitle=0.6, toptitle=1mm, toprule=.15mm, leftrule=.75mm, colframe=quarto-callout-note-color-frame]
Code Checkpoint F51d. The book's repository contains a script that shows
what your code should look like at this point.
@@ -14762,7 +14764,7 @@ protected area but only outside of the boundary.
\end{Highlighting}
\end{Shaded}
\begin{tcolorbox}[enhanced jigsaw, arc=.35mm, breakable, leftrule=.75mm, toptitle=1mm, opacitybacktitle=0.6, colback=white, titlerule=0mm, coltitle=black, bottomtitle=1mm, colbacktitle=quarto-callout-note-color!10!white, opacityback=0, rightrule=.15mm, colframe=quarto-callout-note-color-frame, bottomrule=.15mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, left=2mm, toprule=.15mm]
\begin{tcolorbox}[enhanced jigsaw, colbacktitle=quarto-callout-note-color!10!white, left=2mm, coltitle=black, colback=white, bottomtitle=1mm, bottomrule=.15mm, opacityback=0, titlerule=0mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, rightrule=.15mm, breakable, arc=.35mm, opacitybacktitle=0.6, toptitle=1mm, toprule=.15mm, leftrule=.75mm, colframe=quarto-callout-note-color-frame]
Code Checkpoint F51e. The book's repository contains a script that shows
what your code should look like at this point.
@@ -14781,7 +14783,7 @@ applications and ideas for using these techniques.
\hypertarget{zonal-statistics}{%
\section{Zonal Statistics}\label{zonal-statistics}}
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\hypertarget{author-17}{%
\subsubsection*{Author}\label{author-17}}
@@ -15053,7 +15055,7 @@ vector dataset for future filtering and joining.
\end{Highlighting}
\end{Shaded}
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\begin{tcolorbox}[enhanced jigsaw, colbacktitle=quarto-callout-note-color!10!white, left=2mm, coltitle=black, colback=white, bottomtitle=1mm, bottomrule=.15mm, opacityback=0, titlerule=0mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, rightrule=.15mm, breakable, arc=.35mm, opacitybacktitle=0.6, toptitle=1mm, toprule=.15mm, leftrule=.75mm, colframe=quarto-callout-note-color-frame]
Code Checkpoint F52a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -15478,7 +15480,7 @@ you don't specify your own existing folder in Drive, the folder
\end{Highlighting}
\end{Shaded}
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\begin{tcolorbox}[enhanced jigsaw, colbacktitle=quarto-callout-note-color!10!white, left=2mm, coltitle=black, colback=white, bottomtitle=1mm, bottomrule=.15mm, opacityback=0, titlerule=0mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, rightrule=.15mm, breakable, arc=.35mm, opacitybacktitle=0.6, toptitle=1mm, toprule=.15mm, leftrule=.75mm, colframe=quarto-callout-note-color-frame]
Code Checkpoint F52b. The book's repository contains a script that shows
what your code should look like at this point.
@@ -15660,7 +15662,7 @@ point of three pixels.}
\end{figure}
\begin{tcolorbox}[enhanced jigsaw, arc=.35mm, breakable, leftrule=.75mm, toptitle=1mm, opacitybacktitle=0.6, colback=white, titlerule=0mm, coltitle=black, bottomtitle=1mm, colbacktitle=quarto-callout-note-color!10!white, opacityback=0, rightrule=.15mm, colframe=quarto-callout-note-color-frame, bottomrule=.15mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, left=2mm, toprule=.15mm]
\begin{tcolorbox}[enhanced jigsaw, colbacktitle=quarto-callout-note-color!10!white, left=2mm, coltitle=black, colback=white, bottomtitle=1mm, bottomrule=.15mm, opacityback=0, titlerule=0mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, rightrule=.15mm, breakable, arc=.35mm, opacitybacktitle=0.6, toptitle=1mm, toprule=.15mm, leftrule=.75mm, colframe=quarto-callout-note-color-frame]
Code Checkpoint F52c. The book's repository contains a script that shows
what your code should look like at this point.
@@ -15728,7 +15730,7 @@ https://doi.org/10.1016/j.rse.2006.12.006
\hypertarget{advanced-vector-operations}{%
\section{Advanced Vector Operations}\label{advanced-vector-operations}}
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\hypertarget{author-18}{%
\subsubsection*{Author}\label{author-18}}
@@ -16055,7 +16057,7 @@ priority}
\end{figure}
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Code Checkpoint F53a. The book's repository contains a script that shows
what your code should look like at this point.
@@ -16406,7 +16408,7 @@ Francisco neighborhoods}
\end{figure}
\begin{tcolorbox}[enhanced jigsaw, arc=.35mm, breakable, leftrule=.75mm, toptitle=1mm, opacitybacktitle=0.6, colback=white, titlerule=0mm, coltitle=black, bottomtitle=1mm, colbacktitle=quarto-callout-note-color!10!white, opacityback=0, rightrule=.15mm, colframe=quarto-callout-note-color-frame, bottomrule=.15mm, title=\textcolor{quarto-callout-note-color}{\faInfo}\hspace{0.5em}{Note}, left=2mm, toprule=.15mm]
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Code Checkpoint F53b. The book's repository contains a script that shows
what your code should look like at this point.

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@@ -316,29 +316,29 @@ gtag('config', 'G-RK9ZLZQ6GL', { 'anonymize_ip': true});
<ul>
<li>Two introductory chapters that provide an overview of remote sensing the different types of satellite imagery available on Google Earth Engine.
<ul>
<li><a href="chapters/A2_Remote_Sensing.qmd">Remote Sensing</a></li>
<li><a href="chapters/A3_Data_Acquisition.qmd">Data Acquisition</a></li>
<li><a href="./A2_Remote_Sensing.html">Remote Sensing</a></li>
<li><a href="./A3_Data_Acquisition.html">Data Acquisition</a></li>
</ul></li>
</ul></li>
<li><strong>Google Earth Engine</strong>
<ul>
<li>Recently, a team of over 100 scientists came together to write a book called <a href="https://www.eefabook.org/">“Cloud-Based Remote Sensing with Google Earth Engine: Fundamentals and Applications”</a>. It’s a great resource for learning about remote sensing and Earth Engine. The material in this section is a subset of the book, edited to fit the scope of this guide. If you’re interested in learning more, check out the full book.
<ul>
<li><a href="chapters/B1_Getting_Started.qmd">Getting Started</a></li>
<li><a href="chapters/B2_Interpreting_Images.qmd">Interpreting Images</a></li>
<li><a href="chapters/B3_Image_Series.qmd">Image Series</a></li>
<li><a href="chapters/B4_Vectors_Tables.qmd">Vectors and Tables</a></li>
<li><a href="./B1_Getting_Started.html">Getting Started</a></li>
<li><a href="./B2_Interpreting_Images.html">Interpreting Images</a></li>
<li><a href="./B3_Image_Series.html">Image Series</a></li>
<li><a href="./B4_Vectors_Tables.html">Vectors and Tables</a></li>
</ul></li>
</ul></li>
<li><strong>Case Studies</strong>
<ul>
<li>A series of case studies that demonstrate how to use Google Earth Engine for open source investigations. Each case study includes a brief introduction to the topic, a step-by-step guide to using Google Earth Engine to analyze satellite imagery, and a discussion of the results.
<ul>
<li><a href="chapters/C1_Lights.qmd">War at Night</a></li>
<li><a href="chapters/C2_Refineries.qmd">Refinery Identification</a></li>
<li><a href="chapters/C3_Blast.qmd">Blast Damage Assessment</a></li>
<li><a href="chapters/C4_Ships.qmd">Ship Detection</a></li>
<li><a href="chapters/C5_Object_Detection.qmd">Object Detection</a></li>
<li><a href="./C1_Lights.html">War at Night</a></li>
<li><a href="./C2_Refineries.html">Refinery Identification</a></li>
<li><a href="./C3_Blast.html">Blast Damage Assessment</a></li>
<li><a href="./C4_Ships.html">Ship Detection</a></li>
<li><a href="./C5_Object_Detection.html">Object Detection</a></li>
</ul></li>
</ul></li>
</ol>