brazil-data-cube/wtss.py

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Created over 4 years ago
Updated 6 months ago

brazil-data-cube/wtss.py

brazil-data-cube

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Python Client API for Web Time Series Service

rstac

R Client Library for SpatioTemporal Asset Catalog

code-gallery

A gallery of interesting Jupyter Notebooks based on Brazil Data Cube data and technologies

Jupyter Notebook

stmetrics

Time Series Metrics

Jupyter Notebook

s2-angs

Script to calculate Sentinel-2 (A-B) view_zenith, view_azimuth, sun_zenith and sun_azimuth

wlts-paper

Research compendium of the article: A plataform for land use and land cover data integration and trajectory analysis

Jupyter Notebook

brazil-data-cube.github.io

Brazil Data Cube Documentation Web Site

rwlts

R Client Library for Web Land Trajectory Service

sits-docker

Docker images for the SITS R package

cube-builder

Cube Builder is an application to generate data cubes on local cluster using Python and Celery.

compendium-harmonization

This is the official Research Compendium (RC) documentation, with all the materials (Codes, data, and computing environments) needed for the reproduction, replication, and evaluation of the results presented in the paper: A reproducible and replicable approach for harmonizing Landsat-8 and Sentinel-2 images

bdc-stac

SpatioTemporal Asset Catalog Implementation for the Brazil Data Cube

bdc-collectors

Flask extension for Brazil Data Cube to collect satellite imagery from multiple providers.

bdc-collection-builder

BDC Collection Builder is a Python package for local server and AWS S3 bucket ingestion of satellite imagery

lccs.py

Python Client Library for Land Cover Classification System Web Service

stac.py

Python Client Library for SpatioTemporal Asset Catalog

rlccs

R Client Library for Land Cover Classification System Web Service

cube-builder-aws

Scripts to generate Data Cubes on AWS environment

sr2vgi

This python package will be a repository for a large number of vegetation indices, organized by they characteristics.

lccs-ws

Land Cover Classification System Web Service

forest-monitor-app

wlts-spec

Web Land Trajectory Service Specification

dc-manager

Web-based user interface to manage data cubes.

lccs-ws-spec

Land Cover Classification System Web Service Specification

sensor-harm

Generate Landsat-8 and Sentinel-2 NBAR (Nadir BRDF Adjusted Reflectance) product.

bdc-catalog

Brazil Data Cube Image Metadata Catalog

wtss-qgis

WTSS Plugin for QGIS

wlts.py

Python Client Library for Web Land Trajectory Service

landsat-angles-docker

bdc-odc

A Shareable Collection of Open Data Cube Scripts & Tools

lccs-db

Land Cover Classification System Database Model

datacube-classification

datacube-classification is a Python package developed to apply the time-first, space-later approach to indexed Earth Observation Data Cubes within the Open Data Cube ecosystem.

metadata

A curated repository of image collections and data cube metadata

forest-monitor

bdc-config

Brazil Data Cube configuration lib

odc-sits

R Client for the Open Data Cube ecosystem.

wtss-spec

Web Time Series Service Specification

bdc-core

Common basic functions among Brazil Data Cube applications

wlts

Web Land Trajectory Service

sample-db

Brazil Data Cube sample database

wlts-qgis

A QGIS plugin for Web Land Trajectory Service

bdc-drone-discord

Simple Drone CI plugin for notifying Drone Build Status on Discord Channel using webhooks.

jupyterhub-docker

Docker Images for Brazil Data Cube JupyterHub Environment

odc-docker

Docker Images for Open Data Cube

quality_assessment

scripts to remote sensing data validate

tech-talks

Brazil Data Cube Tech Talks Web Site

stac2odc

A tool created to facilitate indexing data in the Open Data Cube using the information provided by STAC catalogs.

st-segmentation

Jupyter Notebook

geoserver-installer

CLI to automate the process of creating custom GeoServer Dockerfiles

sample.py

Python Client Library for Sample Database Model

compare-cloud-masks

Comparison of Cloud Cover Detection Algorithms for Land Use - Classification of the Amazon Tropical Forests