Earth Observation Using Python

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Earth Observation Using Python

Rebekah B. Esmaili
Earth Observation Using Python Book PDF

Author : Rebekah B. Esmaili
Publisher : John Wiley & Sons
Page : 308 pages
File Size : 49,9 Mb
Release : 2021-08-04
Category : Science
ISBN : 9781119606918

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Earth Observation Using Python by Rebekah B. Esmaili Pdf

Learn basic Python programming to create functional and effective visualizations from earth observation satellite data sets Thousands of satellite datasets are freely available online, but scientists need the right tools to efficiently analyze data and share results. Python has easy-to-learn syntax and thousands of libraries to perform common Earth science programming tasks. Earth Observation Using Python: A Practical Programming Guide presents an example-driven collection of basic methods, applications, and visualizations to process satellite data sets for Earth science research. Gain Python fluency using real data and case studies Read and write common scientific data formats, like netCDF, HDF, and GRIB2 Create 3-dimensional maps of dust, fire, vegetation indices and more Learn to adjust satellite imagery resolution, apply quality control, and handle big files Develop useful workflows and learn to share code using version control Acquire skills using online interactive code available for all examples in the book The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Find out more about this book from this Q&A with the Author

Open Source Geospatial Tools

Daniel McInerney,Pieter Kempeneers
Open Source Geospatial Tools Book PDF

Author : Daniel McInerney,Pieter Kempeneers
Publisher : Springer
Page : 358 pages
File Size : 47,7 Mb
Release : 2014-11-22
Category : Science
ISBN : 9783319018249

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Open Source Geospatial Tools by Daniel McInerney,Pieter Kempeneers Pdf

This book focuses on the use of open source software for geospatial analysis. It demonstrates the effectiveness of the command line interface for handling both vector, raster and 3D geospatial data. Appropriate open-source tools for data processing are clearly explained and discusses how they can be used to solve everyday tasks. A series of fully worked case studies are presented including vector spatial analysis, remote sensing data analysis, landcover classification and LiDAR processing. A hands-on introduction to the application programming interface (API) of GDAL/OGR in Python/C++ is provided for readers who want to extend existing tools and/or develop their own software.

Earth Observation Data Cubes

Gregory Giuliani,Gilberto Camara,Brian Killough,Stuart Minchin
Earth Observation Data Cubes Book PDF

Author : Gregory Giuliani,Gilberto Camara,Brian Killough,Stuart Minchin
Publisher : Unknown
Page : 302 pages
File Size : 49,9 Mb
Release : 2020
Category : Geography (General)
ISBN : 3039280937

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Earth Observation Data Cubes by Gregory Giuliani,Gilberto Camara,Brian Killough,Stuart Minchin Pdf

Satellite Earth observation (EO) data have already exceeded the petabyte scale and are increasingly freely and openly available from different data providers. This poses a number of issues in terms of volume (e.g., data volumes have increased 10.

Remote Sensing and GIS for Ecologists

Martin Wegmann,Benjamin Leutner,Stefan Dech
Remote Sensing and GIS for Ecologists Book PDF

Author : Martin Wegmann,Benjamin Leutner,Stefan Dech
Publisher : Pelagic Publishing Ltd
Page : 410 pages
File Size : 45,7 Mb
Release : 2016-02-08
Category : Science
ISBN : 9781784270247

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Remote Sensing and GIS for Ecologists by Martin Wegmann,Benjamin Leutner,Stefan Dech Pdf

This is a book about how ecologists can integrate remote sensing and GIS in their daily work. It will allow ecologists to get started with the application of remote sensing and to understand its potential and limitations. Using practical examples, the book covers all necessary steps from planning field campaigns to deriving ecologically relevant information through remote sensing and modelling of species distributions. All practical examples in this book rely on OpenSource software and freely available data sets. Quantum GIS (QGIS) is introduced for basic GIS data handling, and in-depth spatial analytics and statistics are conducted with the software packages R and GRASS. Readers will learn how to apply remote sensing within ecological research projects, how to approach spatial data sampling and how to interpret remote sensing derived products. The authors discuss a wide range of statistical analyses with regard to satellite data as well as specialised topics such as time-series analysis. Extended scripts on how to create professional looking maps and graphics are also provided. This book is a valuable resource for students and scientists in the fields of conservation and ecology interested in learning how to get started in applying remote sensing in ecological research and conservation planning.

Earth Observation Open Science and Innovation

Christoph Aubrecht,Pierre-Philippe Mathieu
Earth Observation Open Science and Innovation Book PDF

Author : Christoph Aubrecht,Pierre-Philippe Mathieu
Publisher : Unknown
Page : 326 pages
File Size : 43,9 Mb
Release : 2020-10-08
Category : Science
ISBN : 1013269373

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Earth Observation Open Science and Innovation by Christoph Aubrecht,Pierre-Philippe Mathieu Pdf

Over the past decades, rapid developments in digital and sensing technologies, such as the Cloud, Web and Internet of Things, have dramatically changed the way we live and work. The digital transformation is revolutionizing our ability to monitor our planet and transforming the way we access, process and exploit Earth Observation data from satellites.This book reviews these megatrends and their implications for the Earth Observation community as well as the wider data economy. It provides insight into new paradigms of Open Science and Innovation applied to space data, which are characterized by openness, access to large volume of complex data, wide availability of new community tools, new techniques for big data analytics such as Artificial Intelligence, unprecedented level of computing power, and new types of collaboration among researchers, innovators, entrepreneurs and citizen scientists. In addition, this book aims to provide readers with some reflections on the future of Earth Observation, highlighting through a series of use cases not just the new opportunities created by the New Space revolution, but also the new challenges that must be addressed in order to make the most of the large volume of complex and diverse data delivered by the new generation of satellites. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors.

Introduction to Python in Earth Science Data Analysis

Maurizio Petrelli
Introduction to Python in Earth Science Data Analysis Book PDF

Author : Maurizio Petrelli
Publisher : Springer Nature
Page : 229 pages
File Size : 46,5 Mb
Release : 2021-09-16
Category : Science
ISBN : 9783030780555

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Introduction to Python in Earth Science Data Analysis by Maurizio Petrelli Pdf

This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.

Google Earth Engine Applications

Lalit Kumar,Onisimo Mutanga
Google Earth Engine Applications Book PDF

Author : Lalit Kumar,Onisimo Mutanga
Publisher : MDPI
Page : 420 pages
File Size : 43,8 Mb
Release : 2019-04-23
Category : Science
ISBN : 9783038978848

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Google Earth Engine Applications by Lalit Kumar,Onisimo Mutanga Pdf

In a rapidly changing world, there is an ever-increasing need to monitor the Earth’s resources and manage it sustainably for future generations. Earth observation from satellites is critical to provide information required for informed and timely decision making in this regard. Satellite-based earth observation has advanced rapidly over the last 50 years, and there is a plethora of satellite sensors imaging the Earth at finer spatial and spectral resolutions as well as high temporal resolutions. The amount of data available for any single location on the Earth is now at the petabyte-scale. An ever-increasing capacity and computing power is needed to handle such large datasets. The Google Earth Engine (GEE) is a cloud-based computing platform that was established by Google to support such data processing. This facility allows for the storage, processing and analysis of spatial data using centralized high-power computing resources, allowing scientists, researchers, hobbyists and anyone else interested in such fields to mine this data and understand the changes occurring on the Earth’s surface. This book presents research that applies the Google Earth Engine in mining, storing, retrieving and processing spatial data for a variety of applications that include vegetation monitoring, cropland mapping, ecosystem assessment, and gross primary productivity, among others. Datasets used range from coarse spatial resolution data, such as MODIS, to medium resolution datasets (Worldview -2), and the studies cover the entire globe at varying spatial and temporal scales.

Image Analysis, Classification and Change Detection in Remote Sensing

Morton J. Canty
Image Analysis Classification and Change Detection in Remote Sensing Book PDF

Author : Morton J. Canty
Publisher : CRC Press
Page : 575 pages
File Size : 49,8 Mb
Release : 2014-06-06
Category : Mathematics
ISBN : 9781466570375

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Image Analysis, Classification and Change Detection in Remote Sensing by Morton J. Canty Pdf

Image Analysis, Classification and Change Detection in Remote Sensing: With Algorithms for ENVI/IDL and Python, Third Edition introduces techniques used in the processing of remote sensing digital imagery. It emphasizes the development and implementation of statistically motivated, data-driven techniques. The author achieves this by tightly interweaving theory, algorithms, and computer codes. See What’s New in the Third Edition: Inclusion of extensive code in Python, with a cloud computing example New material on synthetic aperture radar (SAR) data analysis New illustrations in all chapters Extended theoretical development The material is self-contained and illustrated with many programming examples in IDL. The illustrations and applications in the text can be plugged in to the ENVI system in a completely transparent fashion and used immediately both for study and for processing of real imagery. The inclusion of Python-coded versions of the main image analysis algorithms discussed make it accessible to students and teachers without expensive ENVI/IDL licenses. Furthermore, Python platforms can take advantage of new cloud services that essentially provide unlimited computational power. The book covers both multispectral and polarimetric radar image analysis techniques in a way that makes both the differences and parallels clear and emphasizes the importance of choosing appropriate statistical methods. Each chapter concludes with exercises, some of which are small programming projects, intended to illustrate or justify the foregoing development, making this self-contained text ideal for self-study or classroom use.

ZeroMQ

Pieter Hintjens
ZeroMQ Book PDF

Author : Pieter Hintjens
Publisher : "O'Reilly Media, Inc."
Page : 516 pages
File Size : 55,7 Mb
Release : 2013-03-15
Category : Computers
ISBN : 9781449334062

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ZeroMQ by Pieter Hintjens Pdf

Offers instruction on how to use the flexible networking tool for exchanging messages among clusters, the cloud, and other multi-system environments.

Geoprocessing with Python

Christine Garrard
Geoprocessing with Python Book PDF

Author : Christine Garrard
Publisher : Simon and Schuster
Page : 558 pages
File Size : 40,5 Mb
Release : 2016-05-05
Category : Computers
ISBN : 9781638353140

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Geoprocessing with Python by Christine Garrard Pdf

Summary Geoprocessing with Python teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology This book is about the science of reading, analyzing, and presenting geospatial data programmatically, using Python. Thanks to dozens of open source Python libraries and tools, you can take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. The book shows you how. About the Book Geoprocessing with Python teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you’ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. The book also covers how to manipulate, resample, and analyze raster data, such as aerial photographs and digital elevation models. What's Inside Geoprocessing from the ground up Read, write, process, and analyze raster data Visualize data with matplotlib Write custom geoprocessing tools Three additional appendixes available online About the Reader To read this book all you need is a basic knowledge of Python or a similar programming language. About the Author Chris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS. Table of Contents Introduction Python basics Reading and writing vector data Working with different vector file formats Filtering data with OGR Manipulating geometries with OGR Vector analysis with OGR Using spatial reference systems Reading and writing raster data Working with raster data Map algebra with NumPy and SciPy Map classification Visualizing data Appendixes A - Installation B - References C - OGR - online only D - OSR - online only E - GDAL - online only

Python Data Science Handbook

Jake VanderPlas
Python Data Science Handbook Book PDF

Author : Jake VanderPlas
Publisher : "O'Reilly Media, Inc."
Page : 743 pages
File Size : 46,6 Mb
Release : 2016-11-21
Category : Computers
ISBN : 9781491912133

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Python Data Science Handbook by Jake VanderPlas Pdf

For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Big Data for Remote Sensing: Visualization, Analysis and Interpretation

Nilanjan Dey,Chintan Bhatt,Amira S. Ashour
Big Data for Remote Sensing Visualization Analysis and Interpretation Book PDF

Author : Nilanjan Dey,Chintan Bhatt,Amira S. Ashour
Publisher : Springer
Page : 154 pages
File Size : 51,7 Mb
Release : 2018-05-23
Category : Science
ISBN : 9783319899237

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Big Data for Remote Sensing: Visualization, Analysis and Interpretation by Nilanjan Dey,Chintan Bhatt,Amira S. Ashour Pdf

This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.

Change Detection and Image Time Series Analysis 2

Abdourrahmane M. Atto,Francesca Bovolo,Lorenzo Bruzzone
Change Detection and Image Time Series Analysis 2 Book PDF

Author : Abdourrahmane M. Atto,Francesca Bovolo,Lorenzo Bruzzone
Publisher : John Wiley & Sons
Page : 274 pages
File Size : 44,6 Mb
Release : 2021-12-29
Category : Computers
ISBN : 9781789450576

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Change Detection and Image Time Series Analysis 2 by Abdourrahmane M. Atto,Francesca Bovolo,Lorenzo Bruzzone Pdf

Change Detection and Image Time Series Analysis 2 presents supervised machine-learning-based methods for temporal evolution analysis by using image time series associated with Earth observation data. Chapter 1 addresses the fusion of multisensor, multiresolution and multitemporal data. It proposes two supervised solutions that are based on a Markov random field: the first relies on a quad-tree and the second is specifically designed to deal with multimission, multifrequency and multiresolution time series. Chapter 2 provides an overview of pixel based methods for time series classification, from the earliest shallow learning methods to the most recent deep-learning-based approaches. Chapter 3 focuses on very high spatial resolution data time series and on the use of semantic information for modeling spatio-temporal evolution patterns. Chapter 4 centers on the challenges of dense time series analysis, including pre processing aspects and a taxonomy of existing methodologies. Finally, since the evaluation of a learning system can be subject to multiple considerations, Chapters 5 and 6 offer extensive evaluations of the methodologies and learning frameworks used to produce change maps, in the context of multiclass and/or multilabel change classification issues.

Earth Observation Data Cubes

Gregory Giuliani,Gilberto Camara,Brian Killough,Stuart Minchin
Earth Observation Data Cubes Book PDF

Author : Gregory Giuliani,Gilberto Camara,Brian Killough,Stuart Minchin
Publisher : MDPI
Page : 302 pages
File Size : 48,9 Mb
Release : 2020-03-16
Category : Science
ISBN : 9783039280926

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Earth Observation Data Cubes by Gregory Giuliani,Gilberto Camara,Brian Killough,Stuart Minchin Pdf

Satellite Earth observation (EO) data have already exceeded the petabyte scale and are increasingly freely and openly available from different data providers. This poses a number of issues in terms of volume (e.g., data volumes have increased 10× in the last 5 years); velocity (e.g., Sentinel-2 is capturing a new image of any given place every 5 days); and variety (e.g., different types of sensors, spatial/spectral resolutions). Traditional approaches to the acquisition, management, distribution, and analysis of EO data have limitations (e.g., data size, heterogeneity, and complexity) that impede their true information potential to be realized. Addressing these big data challenges requires a change of paradigm and a move away from local processing and data distribution methods to lower the barriers caused by data size and related complications in data management. To tackle these issues, EO data cubes (EODC) are a new paradigm revolutionizing the way users can store, organize, manage, and analyze EO data. This Special Issue is consequently aiming to cover the most recent advances in EODC developments and implementations to broaden the use of EO data to larger communities of users, support decision-makers with timely and actionable information converted into meaningful geophysical variables, and ultimately unlock the information power of EO data.

Pythonic Geodynamics

Gabriele Morra
Pythonic Geodynamics Book PDF

Author : Gabriele Morra
Publisher : Springer
Page : 227 pages
File Size : 53,9 Mb
Release : 2017-08-01
Category : Science
ISBN : 9783319556826

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Pythonic Geodynamics by Gabriele Morra Pdf

This book addresses students and young researchers who want to learn to use numerical modeling to solve problems in geodynamics. Intended as an easy-to-use and self-learning guide, readers only need a basic background in calculus to approach most of the material. The book difficulty increases very gradually, through four distinct parts. The first is an introduction to the Python techniques necessary to visualize and run vectorial calculations. The second is an overview with several examples on classical Mechanics with examples taken from standard introductory physics books. The third part is a detailed description of how to write Lagrangian, Eulerian and Particles in Cell codes for solving linear and non-linear continuum mechanics problems. Finally the last one address advanced techniques like tree-codes, Boundary Elements, and illustrates several applications to Geodynamics. The entire book is organized around numerous examples in Python, aiming at encouraging the reader to le arn by experimenting and experiencing, not by theory.