Open data
|
Deployed on AWS
The objective of the Mapa 3D Digital da Cidade (M3DC) of the São Paulo City Hall is to publish LiDAR point cloud data. The initial data was acquired in 2017 by aerial surveying and future data will be added. This publicly accessible dataset is provided in the [Entwine Point Tiles](https://entwine.io/entwine-point-tile.html) format as a lossless octree, full density, based on [LASzip](https://laszip.org) (LAZ) encoding.
Overview
The objective of the Mapa 3D Digital da Cidade (M3DC) of the São Paulo City Hall is to publish LiDAR point cloud data. The initial data was acquired in 2017 by aerial surveying and future data will be added. This publicly accessible dataset is provided in the Entwine Point Tiles format as a lossless octree, full density, based on LASzip (LAZ) encoding.
Features and programs
Open Data Sponsorship Program
This dataset is part of the Open Data Sponsorship Program, an AWS program that covers the cost of storage for publicly available high-value cloud-optimized datasets.
Pricing
This is a publicly available data set. No subscription is required.
Legal
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
AWS Data Exchange (ADX)
AWS Data Exchange is a service that helps AWS easily share and manage data entitlements from other organizations at scale.
Open data resources
Available with or without an AWS account.
- How to use
- To access these resources, reference the Amazon Resource Name (ARN) using the AWS Command Line Interface (CLI). Learn more
- Description
- São Paulo city's 3D LiDAR - [Entwine Point Tiles](https://entwine.io/entwine-point-tile.html).
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::ept-m3dc-pmsp
- AWS region
- sa-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://ept-m3dc-pmsp/
- Description
- São Paulo city's 3D LiDAR - LAZ Files.
- Resource type
- S3 bucket
- Amazon Resource Name (ARN)
- arn:aws:s3:::laz-m3dc-pmsp
- AWS region
- sa-east-1
- AWS CLI access (No AWS account required)
- aws s3 ls --no-sign-request s3://laz-m3dc-pmsp/
Resources
Vendor resources
Support
How to cite
Prefeitura Municipal de São Paulo (PMSP) LiDAR Point Cloud was accessed on DATE from https://registry.opendata.aws/pmsp-lidar .
Similar products
LiDAR point cloud data for Washington, DC is available for anyone to use on Amazon S3.
This dataset, managed by the Office of the Chief Technology Officer (OCTO), through the
direction of the District of Columbia GIS program, contains tiled point cloud data for
the entire District along with associated metadata.
The U.S. Cities elevation data collection program supported the US Department of Homeland Security Homeland Security and Infrastructure Program (HSIP). As part of the HSIP Program, there were 133+ U.S. cities that had imagery and LiDAR collected to provide the Homeland Security, Homeland Defense, and Emergency Preparedness, Response and Recovery (EPR&R) community with common operational, geospatially enabled baseline data needed to analyze threat, support critical infrastructure protection and expedite readiness, response and recovery in the event of a man-made or natural disaster. As a part of that, for some time, recurring LiDAR data was also being collected by a joint agreement of NGA and other federal agencies and the HIFLDS Working Group. The publicly released data excluded US Military Installation coverage, but it is provided in as is. These collects were acquired by contract using commercial collection companies. Some metadata information about the collection can be found a[...]
This product consists of data and supporting metadata for Boston, MA, updated in 2013.
The State of Indiana Geographic Information Office and IOT Office of Technology manage a series of digital LiDAR LAS files stored in AWS, dating back to the 2011-2013 collection and including the NRCS-funded 2016-2020 collection. These LiDAR datasets are available as uncompressed LAS files, for cloud storage and access. Each year's data is organized into a tile grid scheme covering the entire geography of Indiana, ensuring easy access and efficient processing. The tiles' naming reflects each tile's lower left coordinate, facilitating accurate data management and retrieval. The AWS storage solution ensures that these extensive datasets are readily accessible for analysis and application across various projects.