What is the main focus of the book 'Earth Engine and Geemap: Geospatial Data Science with Python'?

The book primarily focuses on teaching readers how to utilize Google Earth Engine and the Geemap library for geospatial data analysis in Python. It covers foundational concepts as well as advanced techniques, including remote sensing, spatial analysis, and data visualization. Readers can expect to find practical examples that demonstrate how to apply geospatial technologies in environmental science, urban planning, and resource management. This hands-on approach ensures that both beginners and experienced practitioners can gain valuable insights and skills applicable in a variety of fields.

Who is the target audience for this book?

The target audience for 'Earth Engine and Geemap: Geospatial Data Science with Python' includes students, researchers, and professionals interested in geospatial data and Python programming. It is especially beneficial for those studying environmental science, geography, data science, or urban planning. Additionally, practitioners looking to enhance their skills in spatial analysis will find the book's practical applications and coding examples very useful. By addressing various skill levels, it serves as both a comprehensive introduction and a reference guide for more advanced users.

What are some practical applications of the techniques taught in the book?

The techniques taught in 'Earth Engine and Geemap: Geospatial Data Science with Python' have practical applications in numerous fields. For instance, environmental scientists can use satellite imagery to monitor deforestation or land degradation over time. Urban planners can analyze spatial data to assess urban heat islands and improve city designs. Agricultural experts can leverage the book's techniques to predict crop yields using remote sensing data. These real-world scenarios illustrate how the knowledge gained from the book can lead to impactful decisions regarding environmental sustainability and urban development.

Does the book include code examples and exercises?

Yes, 'Earth Engine and Geemap: Geospatial Data Science with Python' features numerous code examples and exercises throughout the text. These resources are designed to reinforce learning by allowing readers to practice implementing the techniques covered. Each chapter typically includes hands-on projects that guide users through the entire process of data acquisition, processing, and visualization. This experiential learning format helps to solidify understanding of concepts and motivates readers to apply what they've learned in their own projects.

Can beginners learn from this book, or is it more suited for advanced users?

Beginners can certainly learn from 'Earth Engine and Geemap: Geospatial Data Science with Python'. The book starts with fundamental concepts of geospatial data science and gradually progresses to more complex topics. Each section builds on the last, making it accessible for readers without extensive prior knowledge. Additionally, the author uses clear language and explains Python coding in a straightforward way. Thus, both novices eager to learn and advanced users looking to expand their skills will find this book valuable for their respective journeys.

Are any prerequisites in programming or geospatial concepts necessary to fully benefit from the book?

While prior knowledge of programming or geospatial concepts is helpful, they are not strictly necessary to benefit from 'Earth Engine and Geemap: Geospatial Data Science with Python'. The book is structured to introduce concepts methodically, making it suitable for readers starting from various backgrounds. Basic familiarity with Python can enhance the learning experience, but detailed explanations accompany each coding example. This approach ensures that even those without a strong tech background can gradually develop proficiency in geospatial data science.

How does the book address real-world geospatial problems?

The book addresses real-world geospatial problems by incorporating case studies and projects that reflect current challenges in environmental science and urban planning. It provides readers with the tools to analyze and visualize data relevant to pressing issues like climate change, habitat loss, and urbanization. By aligning examples with real-world scenarios, readers can connect theoretical knowledge with practical applications, enhancing their capability to tackle similar problems in their professional endeavors.

What kind of resources does the book provide for further learning?

Alongside the main content, 'Earth Engine and Geemap: Geospatial Data Science with Python' provides a list of additional resources for further learning, such as tutorials, online courses, and community forums. Readers may find it beneficial to explore these resources to deepen their understanding and engage with a broader community of geospatial data science enthusiasts. Such resources might include official documentation for Earth Engine and Geemap, enabling readers to keep up-to-date with new features and methodologies that emerge in the field.

Are there any supplementary materials available with the book?

Indeed, 'Earth Engine and Geemap: Geospatial Data Science with Python' often comes with supplementary materials, including downloadable code, datasets, and links to online resources. These materials are specifically designed to enhance your learning experience. Access to code repositories allows readers to directly experiment with examples provided in the book, thereby reinforcing the concepts taught. Supplementary datasets help facilitate practice on real-world problems, leveraging the skills developed throughout the book.

Hvordan shopper man Earth Engine and Geemap: Geospatial Data Science online fra Ubuy?

Det er nemt at shoppe Earth Engine and Geemap: Geospatial Data Science online fra Ubuy.. Du skal bare søge efter produktet, vælge din forsendelsesmetode, mens du tjekker ud og få det leveret til dit sted.

Er Earth Engine and Geemap: Geospatial Data Science tilgængelig til at handle online i Denmark?

Ja, hos Ubuy Denmark er dette produkt tilgængeligt, så du kan handle til en rimelig pris.. Earth Engine and Geemap: Geospatial Data Science er ikke tilgængelig lokalt, men du kan stole på os med vores ekspresforsendelsestjenester.

Hvor lang tid tager det at få produktet efter at have afgivet ordren?

Leveringstiden for dit bestilte produkt varierer alt efter, hvad du har bestilt, og den forsendelsesmetode, du har valgt.. Den estimerede leveringstid er nævnt under købsprocessen, så vær ubekymret, mens du handler.

Se original

Earth Engine and Geemap: Geospatial Data Science with Python

Get started, quickly, with Google Earth Engine and the powerful geemap Python package.

Vare #: 83947004

Earth Engine and Geemap: Geospatial Data Science with Python

Q: Where can I buy 'Earth Engine and Geemap: Geospatial Data Science with Python' in Denmark?

You can purchase 'Earth Engine and Geemap: Geospatial Data Science with Python' at Ubuy. They offer a wide selection of books, including this title, making it convenient for readers in Denmark to find the book along with other related materials. Ubuy provides an excellent platform to browse, compare, and order the book directly to suit your preferences.

86% af de adspurgte ville anbefale produktet til en ven

Vare #: 83947004

DKK 706

Prisdetaljer

Eksklusive forsendelses- og toldgebyrer ( Forsendelses- og toldgebyrer beregnes ved checkout )

^{*Alle varer importeres fra US}

Tilgængelighed : På lager

Importeret fra USA butik

QTY:

Bestil nu og få den omkring Monday, Oktober 19

Sikker transaktion

Vores bedste logistikpartnere

Get started, quickly, with Google Earth Engine and the powerful geemap Python package.

Paperback

U-Pleje garanti:

Ingen

Vælg en plan

Køb nu, betal senere

Hurtig
levering

Gratis
returnering^*

Sikker emballering

100 % originale produkter'

PCI DSS Compliance

ISO 27001 Certified

Note: Step Down Voltage Transformer required for using electronics products of US store (110-120). Recommended power converters Køb nu.

Hvad der skiller sig ud

Comprehensive Guide

This book offers an in-depth look at Earth Engine and Geemap, empowering users to master geospatial data science techniques using Python efficiently.

Practical Examples

Includes hands-on tutorials and real-world applications, enabling readers to apply their knowledge directly to geospatial analysis and visualization challenges.

Up-to-Date Content

Published in 2023, it covers the latest developments and methodologies in geospatial data science, ensuring that users have access to current best practices.

Produktdetaljer

Get started, quickly, with Google Earth Engine and the powerful geemap Python package. Apply geemap to interactively analyze and visualize big geospatial data in a Jupyter environment.Google Earth Engine (GEE) is a cloud computing platform that offers access to a vast data catalog of satellite imagery and geospatial datasets. The platform has gained immense popularity in the geospatial community in recent years and has played a significant role in empowering numerous environmental applications at local, regional, and global scales.This book takes a hands-on approach to help users get started with the GEE Python API and geemap. It begins with the basics of geemap, including creating and customizing interactive maps. Then, users learn to load cloud-based Earth Engine datasets and local geospatial datasets onto the interactive maps.As readers progress through the chapters, they will explore practical examples of using geemap to visualize and analyze Earth Engine datasets and learn how to export data from Earth Engine. Additionally, the book covers more advanced topics, such as building and deploying interactive web apps with Earth Engine and geemap.Who this book is forThis book is designed for students, researchers, and data scientists who want to explore Google Earth Engine using the Python ecosystem of diverse libraries and tools. Regardless of whether you are a new or experienced user of the Earth Engine JavaScript API, this book is suitable for you.

Publisher	Locate Press
Publication date	July 27, 2023
Language	English
Print length	354 pages
ISBN-10	1738767515
ISBN-13	978-1738767519
Item Weight	2.43 pounds (1.1 kg)
Dimensions	8.5 x 0.96 x 11 inches (21.6 x 2.4 x 27.9 cm)

Hvem bør købe?

Geospatial Analysts
Professionals who utilize geographic data for analysis will greatly benefit from the integrated features of Earth Engine and Geemap.
Students in GIS
Students studying geography or data science can leverage this book for learning practical applications in geospatial analysis.
Environmental Researchers
Researchers focusing on environmental studies will find powerful tools for visualizing and analyzing satellite data in this product.

Casual Users
Individuals looking for basic mapping tools without technical depth may find this book overly complex and challenging.

Produktbeskrivelse

Har du spørgsmål? Chat med os

Kundespørgsmål og svar

spørgsmål: Hvordan shopper man Earth Engine and Geemap: Geospatial Data Science online fra Ubuy?

svar: Det er nemt at shoppe Earth Engine and Geemap: Geospatial Data Science online fra Ubuy.. Du skal bare søge efter produktet, vælge din forsendelsesmetode, mens du tjekker ud og få det leveret til dit sted.
spørgsmål: Er Earth Engine and Geemap: Geospatial Data Science tilgængelig til at handle online i Denmark?

svar: Ja, hos Ubuy Denmark er dette produkt tilgængeligt, så du kan handle til en rimelig pris.. Earth Engine and Geemap: Geospatial Data Science er ikke tilgængelig lokalt, men du kan stole på os med vores ekspresforsendelsestjenester.
spørgsmål: Hvor lang tid tager det at få produktet efter at have afgivet ordren?

svar: Leveringstiden for dit bestilte produkt varierer alt efter, hvad du har bestilt, og den forsendelsesmetode, du har valgt.. Den estimerede leveringstid er nævnt under købsprocessen, så vær ubekymret, mens du handler.

Remote Sensing & GIS Editorial Review

Ingen redaktionelle anmeldelser fundet

Kundeanmeldelser & vurderinger

5.0

3 kundebedømmelser

5 stjerne

100%
4 stjerne

0%
3 stjerne

0%
2 stjerne

0%
1 stjerne

0%

Anmeld dette produkt

Del dine tanker med andre kunder

Fordele

Comprehensive resource for geospatial data
Well-structured content
Easy to follow for beginners
Rich examples and use cases
Great for hands-on learning

Ulemper

Some sections may be overly detailed.

Produktets prishistorik

Vigtig information

Begrænsninger: For produkter, der forsendes internationalt, bemærk venligst, at eventuel producentgaranti muligvis ikke er gyldig; producentens serviceordninger er muligvis ikke tilgængelige; produktmanualer, instruktioner og sikkerhedsadvarsler er muligvis ikke på destinationslandets sprog; produkterne (og det medfølgende materiale) er muligvis ikke designet i overensstemmelse med destinationslandets standarder, specifikationer og mærkningskrav; og produkterne opfylder muligvis ikke destinationslandets krav til spænding og andre elektriske standarder (hvilket kan kræve brug af en adapter eller transformer, hvis relevant). Modtageren er ansvarlig for at sikre, at produktet lovligt kan importeres til destinationslandet. Ved bestilling hos Ubuy eller dets datterselskaber er modtageren importøren og skal overholde alle love og regler i destinationslandet.
Det er ikke alle de produkter som vises på Ubuy som er til salg, idet Ubuy er en global søgemaskine. Produkterne er underlagt eksport-/handelsregler.

DKK 706

Bestil nu og få den omkring Monday, Oktober 19

QTY:

Sikker transaktion

PCI DSS-kompatibel og ISO 27001:2022-certificeret, med krypteret betaling og fuld køberbeskyttelse på hver ordre

Vores bedste logistikpartnere

Hurtigste grænseoverskridende levering

Egenskaber og fordele

Quickly analyze and visualize big geospatial data in a Jupyter environment
Access a vast data catalog of satellite imagery and geospatial datasets
Create and customize interactive maps using geemap
Explore practical examples of visualizing and analyzing Earth Engine datasets
Learn to export data from Earth Engine
Build and deploy interactive web apps with Earth Engine and geemap

Ubuy-garanti

Oplev bekymringsfri shopping med 100 % originale produkter, PCI DSS-kompatibel betalingssikkerhed, ISO 27001-certificeret databeskyttelse, den hurtigste grænseoverskridende levering, gratis returnering* og sikker emballage på hver ordre.

Earth Engine and Geemap: Geospatial Data Science with Python

DKK 706

Køb nu, betal senere

Hurtig levering

Gratis returnering*

Sikker emballering

100 % originale produkter'

PCI DSS Compliance

ISO 27001 Certified

Hvad der skiller sig ud

Produktdetaljer

Hvem bør købe?

Produktbeskrivelse

Kundespørgsmål og svar

Remote Sensing & GIS Editorial Review

Kundeanmeldelser & vurderinger

Anmeld dette produkt

Fordele

Ulemper

Produktets prishistorik

Vigtig information

DKK 706

Egenskaber og fordele

Ubuy-garanti

Hurtig
levering

Gratis
returnering^*