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Earth Observation Using Python

2021-08-04 Science
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Release : 2021-08-04
Genre : Science
Kind : eBook
Book Rating : 918/5 ( reviews)

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Book Synopsis Earth Observation Using Python by : Rebekah B. Esmaili

Download or read book Earth Observation Using Python written by Rebekah B. Esmaili. This book was released on 2021-08-04. Available in PDF, EPUB and Kindle. Book excerpt: 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

Earth Observation Using Python: a Practical Progra Mming Guide, 2nd Edition

2026-07-30 Science
Download Earth Observation Using Python: a Practical Progra Mming Guide, 2nd Edition PDF Online Free

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Release : 2026-07-30
Genre : Science
Kind : eBook
Book Rating : 244/5 ( reviews)

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Book Synopsis Earth Observation Using Python: a Practical Progra Mming Guide, 2nd Edition by : Esmaili

Download or read book Earth Observation Using Python: a Practical Progra Mming Guide, 2nd Edition written by Esmaili. This book was released on 2026-07-30. Available in PDF, EPUB and Kindle. Book excerpt:

Open Source Geospatial Tools

2014-11-22 Science
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Release : 2014-11-22
Genre : Science
Kind : eBook
Book Rating : 248/5 ( reviews)

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Book Synopsis Open Source Geospatial Tools by : Daniel McInerney

Download or read book Open Source Geospatial Tools written by Daniel McInerney. This book was released on 2014-11-22. Available in PDF, EPUB and Kindle. Book excerpt: 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 Open Science and Innovation

2020-10-08 Science
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Release : 2020-10-08
Genre : Science
Kind : eBook
Book Rating : 363/5 ( reviews)

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Book Synopsis Earth Observation Open Science and Innovation by : Christoph Aubrecht

Download or read book Earth Observation Open Science and Innovation written by Christoph Aubrecht. This book was released on 2020-10-08. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Google Earth Engine Applications

2019-04-23 Science
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Release : 2019-04-23
Genre : Science
Kind : eBook
Book Rating : 841/5 ( reviews)

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Book Synopsis Google Earth Engine Applications by : Lalit Kumar

Download or read book Google Earth Engine Applications written by Lalit Kumar. This book was released on 2019-04-23. Available in PDF, EPUB and Kindle. Book excerpt: 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.

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