Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Google Earth Engine serves as a cloud-centric platform designed for the scientific examination and visualization of geospatial data, granting users access to an extensive public archive containing over 90 petabytes of analysis-ready satellite imagery alongside more than 1,000 carefully curated geospatial datasets. This rich collection boasts over five decades of historical imagery that is refreshed daily, with pixel resolutions reaching as fine as one meter, showcasing datasets from sources such as Landsat, MODIS, Sentinel, and the National Agriculture Imagery Program (NAIP). Through its web-based JavaScript Code Editor and Python API, Earth Engine empowers users to perform analyses on Earth observation data while employing machine learning techniques, thereby enabling the creation of sophisticated geospatial workflows. The platform's seamless integration with Google Cloud facilitates large-scale parallel processing, allowing for thorough analyses and efficient visualization of Earth data. Furthermore, Earth Engine's compatibility with BigQuery enhances its capabilities, making it a versatile tool for users in various fields. This unique combination of features positions Google Earth Engine as an essential resource for researchers and professionals working with geospatial information.
Description
OpenStreetMap offers mapping data utilized by countless websites, mobile applications, and devices. This platform is developed by a collaborative group of mappers dedicated to contributing and updating information about various features such as roads, trails, cafés, and train stations across the globe. It places a strong emphasis on local expertise, with contributors employing tools like aerial imagery, GPS technology, and simple field maps to ensure the accuracy and currency of the data. The community surrounding OpenStreetMap is diverse, enthusiastic, and continually expanding, encompassing hobbyist mappers, GIS experts, server engineers, and humanitarians who focus on mapping areas affected by disasters. For further insights into this vibrant community, one can explore the OpenStreetMap Blog, user diaries, various community blogs, and the OSM Foundation website. OpenStreetMap is categorized as open data, allowing users to utilize it freely for any purpose, provided that proper credit is given to OpenStreetMap and its contributors. This openness fosters collaboration and innovation, making it a valuable resource for a variety of applications.
API Access
Has API
API Access
Has API
Integrations
Eazy Ride
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
Hektar
JOpt.TourOptimizer
JavaScript
Morphic
Planfix
Integrations
Eazy Ride
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
Hektar
JOpt.TourOptimizer
JavaScript
Morphic
Planfix
Pricing Details
$500 per month
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/earth-engine
Vendor Details
Company Name
OpenStreetMap
Founded
2004
Country
United Kingdom
Website
www.openstreetmap.org
Product 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
Product 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