Earth Engine and Geemap: Geospatial Data Science with Python - Image 1

£56.00

Locate Press Earth Engine and Geemap: Geospatial Data Science with Python

Name: Earth Engine and Geemap: Geospatial Data Science with Python
Brand: Locate Press
Price: 56.0 GBP
Availability: InStock

Cartography, Geodesy & Geographic Information Systems

This is the most expensive it has ever been. Walk away.

£56 today · previous high £56 · all-time low £53

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 56 days · 56 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 56 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £53 (43 days, 76.8%)

Price range: £53 - £56

Price levels: 2 different prices over 56 days

Description

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 for This 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.

Product Specifications

Brand: Locate Press
Format: paperback
ASIN: 1738767515
Category: Books > Subjects > Science, Nature & Maths > Earth Sciences > Geography > Cartography, Geodesy & Geographic Information Systems
Domain: Amazon UK
Release Date: 27 July 2023
Listed Since: 14 September 2023

Barcode

No barcode data available

Locate Press Earth Engine and Geemap: Geospatial Data Science with Python

This is the most expensive it has ever been. Walk away.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Geocomputation with Python (Chapman & Hall/CRC The Python Series)

GIS and Environmental Modeling: Progress and Research Issues

Innovations in 3D Geo-Information Sciences (Lecture Notes in Geoinformation and Cartography)

Learning Geospatial Analysis with Python: Understand GIS fundamentals and perform remote sensing data analysis using Python 3.7

GIS, Environmental Modeling and Engineering

Cartography in Central and Eastern Europe: Selected Papers of the 1st ICA Symposium on Cartography for Central and Eastern Europe (Lecture Notes in Geoinformation and Cartography)

Essential Graphical Techniques in Geography (Advances in Geographical and Environmental Sciences)

Google Earth Engine Applications

QGIS Python Programming Cookbook - Second Edition: Automating geospatial development

Representing, Modeling, and Visualizing the Natural Environment: Innovations in GIS

Advanced Geoinformation Science

Geospatial Technologies and Climate Change: 10 (Geotechnologies and the Environment, 10)

Societal Geo-innovation: Selected papers of the 20th AGILE conference on Geographic Information Science (Lecture Notes in Geoinformation and Cartography)

Teaching Geographic Information Science and Technology in Higher Education

Advances in Web-based GIS, Mapping Services and Applications: 9 (ISPRS Book Series)

Geoinformatics for Sustainable Development in Asian Cities (Springer Geography)

Advances in Web-based GIS, Mapping Services and Applications: 9 (ISPRS Book Series)

Encyclopedia of Geographic Information Science

Monitoring and Modeling of Global Changes: A Geomatics Perspective (Springer Remote Sensing/Photogrammetry)

Geospatial Application Development Using Python Programming (Advances in Geospatial Technologies)

Mapping Different Geographies (Lecture Notes in Geoinformation and Cartography)

Geospatial Technologies for All: Selected Papers of the 21st AGILE Conference on Geographic Information Science (Lecture Notes in Geoinformation and Cartography)