Name: Earth Engine and Geemap: Geospatial Data Science with Python (en Inglés)
Price: 350227.00 COP
Availability: InStock
Author: Wu, Qiusheng ; Mitchell, Tyler ; Mitchell, Keith
ISBN: 9781738767519

portada Earth Engine and Geemap: Geospatial Data Science with Python (en Inglés)

Formato

Libro Físico

Autor

Qiusheng Wu

Editorial

Locate Press

Idioma

Inglés

N° páginas

354

Encuadernación

Tapa Blanda

Dimensiones

27.9 x 21.6 x 2.4 cm

Peso

1.10 kg.

ISBN13

9781738767519

Categorías

Meteorología y climatología
Ciencia, ingeniería y tecnología medioambientales

Earth Engine and Geemap: Geospatial Data Science with Python (en Inglés)

Qiusheng Wu (Autor) · Locate Press · Tapa Blanda

Libro Físico

$ 350.227

$ 538.811

Ahorras: $ 188.584

35% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Miércoles 29 de Mayo y el Miércoles 12 de Junio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "Earth Engine and Geemap: Geospatial Data Science with Python (en Inglés)"

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.