semvec/pypi-packages huggingface dataset:
dinosar 0.1.4
SAR processing on the Cloud
License: MIT
Requires Python: >=3.6.1,<4.0.0
Keywords: SAR,Cloud,Batch,AWS

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# dinoSAR

dinoSAR facilitates processesing InSAR data on the Cloud.

dinoSAR is software that enables on-demand processing of single interferograms and sets of interferograms for a given area of interest on the Cloud. Processing is done with [ISCE2 Software](https://github.com/isce-framework/isce2) that is [Dockerized](https://docs.docker.com) and run on [AWS Batch](https://aws.amazon.com/batch). So for now we have *dinoSARaws*.

Currently, dinoSAR works with [Sentinel-1](http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Sentinel-1) data, which is provided by the European Space Agency (ESA). dinoSAR utilities for searching for data [via the Alaska Satellite Facility (ASF)](https://www.asf.alaska.edu/) and setting up processing to either run locally or on the Cloud. Why run on the Cloud? SAR imagery takes up a lot of disk space and because data is being stored on AWS, running on the Cloud circumvents the need to download data. Furthermore, we can take advantage of scalable parallel processing!

dinoSAR enables Cloud-native processing of output imagery by creating [Cloud-Optimized Geotiffs](http://www.cogeo.org) with accompanying [STAC metadata](https://github.com/radiantearth/stac-spec). You can find examples of postprocessing workflows on the [Pangeo website](http://pangeo.io).


## acknowledgments

This project got started with funding from the University of Washington [eScience Institute](http://escience.washington.edu) and the [Washington Research Foundation](http://www.wrfseattle.org). Additionally, financial support has come from Amazon 'Earth on AWS' [Grants program](https://aws.amazon.com/earth/research-credits/) and the [NASA ACCESS program](https://earthdata.nasa.gov/community/community-data-system-programs/access-projects/community-tools-for-analysis-of-nasa-earth-observation-system-data-in-the-cloud).
pastel 0.2.1
Bring colors to your terminal.
License: MIT
Requires Python: >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*

Pastel: Bring colors to your terminal
#####################################

Pastel is a simple library to help you colorize strings in your terminal.

It comes bundled with predefined styles:

* ``info``: green
* ``comment``: yellow
* ``question``: black on cyan
* ``error``: white on red

.. image:: https://raw.githubusercontent.com/sdispater/pastel/master/assets/screenshot.png


Features
========

* Use predefined styles or add you own.
* Disable colors all together by calling ``with_colors(False)``.
* Automatically disables colors if the output is not a TTY.
* Used in `cleo <https://github.com/sdispater/cleo>`_.
* Supports Python **2.7+**, **3.5+** and **PyPy**.


Usage
=====

.. code-block:: python

    >>> import pastel
    >>> print(pastel.colorize('<info>Information</info>'))
    'Information'  # Green string by default
    >>> print(pastel.colorize('<fg=red;options=bold>This is bold red</>'))
    'This is bold red'


Installation
============

.. code-block::

    pip install pastel