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What is Google Earth Engine?

Google Earth Engine is a cloud-based platform tailored for the scientific analysis and visualization of geospatial data, providing users with access to an enormous public repository that holds over 90 petabytes of ready-to-analyze satellite imagery and more than 1,000 meticulously selected geospatial datasets. This extensive library includes over fifty years of historical imagery that is updated daily, featuring pixel resolutions as fine as one meter, and comprises data from sources like Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Users are equipped with tools to execute analyses on Earth observation data using its web-based JavaScript Code Editor and Python API, while also applying machine learning methods to construct advanced geospatial workflows. The platform's integration with Google Cloud enables large-scale parallel processing, which makes it possible to conduct comprehensive analyses and visualize Earth data efficiently. Additionally, the compatibility of Earth Engine with BigQuery further extends its functionality, rendering it a potent tool for professionals and researchers across diverse domains. This impressive array of features and capabilities establishes Google Earth Engine as a vital asset in the realm of geospatial information analysis, fostering innovation and discovery within the field. As users leverage this platform, they unlock new insights and enhance their understanding of the Earth's complexities.

What is GeoPandas?

GeoPandas is an open-source project driven by the community, aimed at making geospatial data handling easier within the Python programming environment. By building upon the existing data types from pandas, GeoPandas allows for efficient spatial operations on geometric data types. This library employs shapely to perform geometric functions, while relying on fiona for managing files and matplotlib for creating visualizations. The core objective of GeoPandas is to enhance the user experience when working with geospatial data in Python. It merges the capabilities of both pandas and shapely, enabling users to execute geospatial operations effortlessly within the pandas ecosystem and offering a straightforward interface for various geometric functions through shapely. With GeoPandas, tasks that traditionally required a spatial database, such as PostGIS, can be accomplished directly in Python. The initiative is backed by a diverse and global community of contributors with different skill levels, ensuring continuous development and support. Furthermore, the commitment to remaining fully open-source and being available under the flexible BSD-3-Clause license fosters its ongoing accessibility and evolution. Hence, GeoPandas stands out as an invaluable tool for anyone interested in engaging with geospatial data in a practical and user-friendly manner, potentially transforming complex data analysis tasks into more manageable ones.

Media

Media

Integrations Supported

GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
Google Earth Engine
JavaScript
Python
Union Pandera

Integrations Supported

GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
Google Earth Engine
JavaScript
Python
Union Pandera

API Availability

Has API

API Availability

Has API

Pricing Information

$500 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/earth-engine

Company Facts

Organization Name

GeoPandas

Date Founded

2013

Company Website

geopandas.org/en/stable/

Categories and Features

GIS

3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

Categories and Features

GIS

3D Imagery
Census Data Integration
Color Coding
Geocoding
Image Exporting
Image Management
Internet Mapping
Interoperability
Labeling
Map Creation
Map Sharing
Near-Matching
Reverse Geocoding
Spatial Analysis

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