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Production, visualization and analysis of large volumes of remote sensing images modeled as multidimensional data cubes for the entire Brazilian territory.

Data Cube Builder

Data Cube Builder is a framework to generate Earth Observation (EO) Data Cubes on-demand to work both on-premise and on-cloud AWS.

Basically, the data cube creation consists of the following steps: Warp and Temporal Compose. The Warp step consists in cropping and mosaicking all images that superimpose a target tile of the common grid, for a specific date. This spatial mosaic is reprojected to the target tile reference system and all bands are resampled to a determined spatial resolution through a bilinear function, except for quality assessment band, which is resampled using nearest neighbor to avoid changes on the image values. The result is called Identity Data Cube.

The Data Cube Builder also supports temporal composition functions, which allow generating regular data cubes. The most used function is `STACK`, which consists in aggregating pixels from all images in the time interval according to each image quantity of valid pixels. The STACK composition can be seen in the figure below.


Cube Builder Architecture on AWS

The Data Cube Builder on top of AWS consists in the following structure:


Lambdas: To execute several tasks in parallel for data processing, and it also is used as an API to orchestrate data cube generation.

S3: Data Storage for working directory and published data.

DynamoDB: Store Tasks definitions in JSON.

PostgreSQL: Store data cube published data cubes metadata.

SQS: Used to separate multiple queues for AWS Lambda parallel processing.

Kinesis: Serialize data cube tasks definitions and metadata through a stream to be served and stored in DynamoDB.

Image gallery

Associated publications

Four software systems developed in the Brazil Data Cube project were registered with the INPI (National Institute of Industrial Property)

The Brazil Data Cube team has just registered four software systems developed in the project with the National Institute of Industrial Property (INPI). The number of computational systems registered with INPI is one of the productivity indicators of the National Institute for Space Research (INPE) and its postgraduate courses. The registered systems are: (1) Web …

Brazil Data Cube - 2019 - 2024