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Description
GeoPandas is a community-driven open-source initiative designed to simplify the handling of geospatial data within Python. By expanding upon the data types available in pandas, GeoPandas facilitates spatial operations on geometric data types. The library utilizes shapely for executing geometric functions, while it relies on fiona for file management and matplotlib for visualization purposes. The primary aim of GeoPandas is to streamline the process of working with geospatial data in Python. This tool integrates the functionalities of both pandas and shapely, allowing users to perform geospatial tasks seamlessly within the pandas framework and providing an accessible interface for various geometric operations through shapely. With GeoPandas, users can conduct operations in Python that typically would necessitate a spatial database like PostGIS. The project is supported, developed, and utilized by a diverse global community of individuals with varying expertise. It remains committed to being fully open-source, available for everyone to utilize, and is released under the permissive BSD-3-Clause license, ensuring its continued accessibility and growth. As such, GeoPandas serves as a powerful resource for anyone looking to work with geospatial data in a user-friendly manner.
Description
Experience unparalleled accuracy and reliability with medium and large format aerial imagery. Our precision-engineered high-resolution aerial cameras and solutions streamline the processes of mapping and surveying, making them easier than ever. Conducting photogrammetry mapping missions is seamless, enabling the capture of detailed high-resolution images for both 2D and 3D mapping applications. With these solutions, you can achieve extensive surface coverage at exceptional resolution, ensuring precise inspection of both the targeted objects and their surroundings. Detect damage as small as a millimeter efficiently, speeding up repairs, enhancing performance, and minimizing environmental impact through Phase One's specialized drone solutions and cameras designed for aerial use. Tailored specifically for geospatial and industrial imaging, Phase One's aerial cameras are the result of collaboration with top industry experts. Our medium and large format cameras deliver the finest image quality available globally, characterized by high resolution, expansive dynamic range, accurate color reproduction, and precise geometric fidelity, making them the ultimate choice for professionals in the field. These advanced imaging solutions not only meet but exceed the rigorous demands of contemporary aerial photography and surveying.
API Access
Has API
API Access
Has API
Integrations
Google Earth Engine
Union Pandera
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
GeoPandas
Founded
2013
Website
geopandas.org/en/stable/
Vendor Details
Company Name
Phase One
Founded
1993
Country
Denmark
Website
geospatial.phaseone.com
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
Drone Mapping
2D Maps
3D Maps
Annotations
Compare Maps
Distance Measurement
Elevation Profiles
Overlays
Photogrammetry
Sharing Tools
Site Progress Tracking
Virtual Inspections
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