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ease
features
design
support

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Description

The extensive, high-resolution images utilized in the geospatial sector offer critical insights, yet their large file sizes can create significant obstacles for sharing, viewing, and manipulating this information effectively. GeoExpress empowers geospatial experts to compress these images into our unique, industry-standard MrSID format. This format allows for both lossless and visually lossless compression, making it possible for users to reduce file sizes without compromising the quality of the images. Additionally, GeoExpress includes features for editing geospatial imagery during the compression process, enhancing the quality of visual data for subsequent analysis. Its standard editing tools encompass cropping and color adjustment, while also providing functionalities like reprojection and mosaicking. By compressing image files and geospatial data down to as little as 5% of their original size or cutting file sizes by half, you can maximize storage efficiency, streamline usage, and simplify the distribution process without losing visual integrity. This approach ultimately leads to improved accessibility and usability of vital 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

Screenshots View All

Screenshots View All

Integrations

Eazy Ride
Hektar
JOpt.TourOptimizer
Morphic
Planfix
SuperMap GIS
SurvPC
UrbanSim
VEVS Bike Rental Software
VEVS Boat Rental Software
VEVS Car Rental Software
VisionCarto
Webots

Integrations

Eazy Ride
Hektar
JOpt.TourOptimizer
Morphic
Planfix
SuperMap GIS
SurvPC
UrbanSim
VEVS Bike Rental Software
VEVS Boat Rental Software
VEVS Car Rental Software
VisionCarto
Webots

Pricing Details

No price information available.
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

LizardTech

Website

www.lizardtech.com

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

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