Skip to main content

Validation of alerting system results produced by tools like nrt

Project description

nrt-validate is a companion package to [nrt](https://github.com/ec-jrc/nrt), designed for near real-time monitoring of satellite image time series. It extends nrt’s capabilities by providing tools for visual interpretation of time-series data, and for the creation and management of reference/validation datasets.

Features

  • Interactive time-series annotation interface built with jupyter widgets

  • Spatial sampling for unbiased accuracy assessment

  • Various estimator or accuracy (Olofsson et al., 2013; Stehman 2014) and timeliness (Bullocks et al., 2022)

Installation

To install nrt-validate, run:

pip install nrt-validate

Usage

Here is a basic example to get started with the interactive annotation interface in a Jupyter notebook.

from nrt.validate.response import Interface
from nrt.validate import data

interface = Interface(cube=data.sentinel2_czechia(), features=samples_czechia())
interface.display_interface()

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nrt_validate-0.0.1a4.tar.gz (1.7 MB view details)

Uploaded Source

Built Distribution

nrt_validate-0.0.1a4-py3-none-any.whl (176.9 kB view details)

Uploaded Python 3

File details

Details for the file nrt_validate-0.0.1a4.tar.gz.

File metadata

  • Download URL: nrt_validate-0.0.1a4.tar.gz
  • Upload date:
  • Size: 1.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.12

File hashes

Hashes for nrt_validate-0.0.1a4.tar.gz
Algorithm Hash digest
SHA256 933365cbc4e09dc23c0121eb2f66639086be0fadd78fe00997375bf73c017edf
MD5 ed36d30b356d9023570190570498bcb7
BLAKE2b-256 b2e07bbe3021eed3199a2fbee474c473504a4b14ba7665d03f0b88828c15bdcb

See more details on using hashes here.

File details

Details for the file nrt_validate-0.0.1a4-py3-none-any.whl.

File metadata

File hashes

Hashes for nrt_validate-0.0.1a4-py3-none-any.whl
Algorithm Hash digest
SHA256 26a8ec4a87ef89c4ae395dc02cde1f83262d0bd3306a04cd75d9696d58d15933
MD5 6b89dfc43b15e56d12cdaa270049e377
BLAKE2b-256 4b2fb4a42e268b4d997617766bca132632010281d75af696121fd027e16faa70

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page