************
nrt-validate
************
*``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:
.. code-block:: bash
pip install nrt-validate
Usage
=====
Here is a basic example to get started with the interactive annotation interface in a Jupyter notebook.
.. code-block:: python
from nrt.validate.response import Interface
from nrt.validate import data
interface = Interface(cube=data.sentinel2_czechia(), features=samples_czechia())
interface.display_interface()
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"description": "************\nnrt-validate\n************\n\n*``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.*\n\nFeatures\n========\n- Interactive time-series annotation interface built with jupyter widgets\n- Spatial sampling for unbiased accuracy assessment\n- Various estimator or accuracy (Olofsson et al., 2013; Stehman 2014) and timeliness (Bullocks et al., 2022)\n\nInstallation\n============\nTo install nrt-validate, run:\n\n.. code-block:: bash\n\n pip install nrt-validate\n\nUsage\n=====\nHere is a basic example to get started with the interactive annotation interface in a Jupyter notebook. \n\n.. code-block:: python\n\n from nrt.validate.response import Interface\n from nrt.validate import data\n\n interface = Interface(cube=data.sentinel2_czechia(), features=samples_czechia())\n interface.display_interface()\n\n",
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