Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
FugroViewer is a powerful and user-friendly freeware that enables users to effectively utilize their geospatial data. It has been specifically developed to accommodate a variety of raster and vector geospatial datasets, including those derived from photogrammetry, lidar, and IFSAR technologies. The latest version, FugroViewer 3.5, is now available for download, featuring the capability to process files that are up to six times larger than previous versions. Enhanced graphics performance has been integrated to reduce rendering times and boost overall efficiency. Furthermore, FugroViewer supports the newest open file formats for the storage and delivery of lidar data. Users can visualize elevation and terrain model data through standard ortho, 3D perspective, and cross-section views, while also being able to display GPS time and RGB values when accessible. The software allows for the coloring of TINs based on elevation using a gradient from blue to red, as well as by intensity values. Additionally, it facilitates the overlay of imagery and vector data onto 3D elevation and terrain datasets, enabling comprehensive analysis. Users can also inspect lidar point clouds by various criteria such as classification, flight line, return number, or source ID, enhancing their analytical capabilities even further. This makes FugroViewer an invaluable tool for anyone working with complex geospatial data.
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.
API Access
Has API
API Access
Has API
Integrations
AlphaEarth Foundations
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
Python
WeatherNext
Integrations
AlphaEarth Foundations
GeoPandas
Google Cloud Analytics Hub
Google Cloud BigQuery
Google Cloud Platform
JavaScript
Python
WeatherNext
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$500 per month
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
Fugro
Founded
1962
Country
Netherlands
Website
www.fugro.com/expertise/other-expertise/fugroviewer
Vendor Details
Company Name
Founded
1998
Country
United States
Website
cloud.google.com/earth-engine
Product Features
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