=========================================================================================
Introduction to pytesmo a python Toolbox for the Evaluation of Soil Moisture Observations
=========================================================================================
pytesmo is a package which aims it is to provide a standard library that can be used for the comparison and validation
of geospatial time series datasets with a focus on soil moisture.
It contains an expanding collection of readers for different soil moisture datasets (see `Supported Datasets`_) as well as routines for comparing them.
Special classes in the module :mod:`pytesmo.grid` provide easy nearest neighbor searching between datasets as well as
the calculation of lookup tables of nearest neighbours. They also provide possibilities to easily read all
grid points of a dataset in the correct order.
It contains the code used for the calculation of metrics by the
`Satellite Soil Moisture Validation Tool For ASCAT <http://rs.geo.tuwien.ac.at/validation_tool/ascat.html>`_. See :mod:`pytesmo.metrics`.
Features
========
* easily read data from the `Supported Datasets`_
* anomaly calculation based on climatology or using a moving window see :mod:`pytesmo.anomaly`
* easy temporal matching of time series see :mod:`pytesmo.temporal_matching`
* multiple methods for scaling between different observation domains (CDF matching, linear regreesion, min-max matching) see :mod:`pytesmo.scaling`
* calculate standard metrics like correlation coefficients, RMSD, bias,
as well as more complex ones like triple collocation or MSE as a decomposition of the RMSD see :mod:`pytesmo.metrics`
Supported Datasets
==================
Soil moisture is observed using different methods and instruments, in this version the following datasets are supported.
Remotely sensed products
------------------------
In this version soil moisture observations made with the following instruments are supported:
ERS
~~~
* ERS-1/2 AMI 25km SSM (Surface Soil Moisture)
available from http://rs.geo.tuwien.ac.at/products
ASCAT
~~~~~
* ASCAT SSM(Surface Soil Moisture) Time Series
Available in custom format from http://rs.geo.tuwien.ac.at/products/
Available in netCDF format from http://hsaf.meteoam.it/soil-moisture.php
* ASCAT SWI(Soil Water Index) Time Series
Available in custom format from http://rs.geo.tuwien.ac.at/products/
insitu obervations
------------------
Data from the International Soil Moisture Network (ISMN)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
ISMN data can be downloaded for free after registration from http://ismn.geo.tuwien.ac.at/
Introduction to pytesmo a python Toolbox for the Evaluation of Soil Moisture Observations
=========================================================================================
pytesmo is a package which aims it is to provide a standard library that can be used for the comparison and validation
of geospatial time series datasets with a focus on soil moisture.
It contains an expanding collection of readers for different soil moisture datasets (see `Supported Datasets`_) as well as routines for comparing them.
Special classes in the module :mod:`pytesmo.grid` provide easy nearest neighbor searching between datasets as well as
the calculation of lookup tables of nearest neighbours. They also provide possibilities to easily read all
grid points of a dataset in the correct order.
It contains the code used for the calculation of metrics by the
`Satellite Soil Moisture Validation Tool For ASCAT <http://rs.geo.tuwien.ac.at/validation_tool/ascat.html>`_. See :mod:`pytesmo.metrics`.
Features
========
* easily read data from the `Supported Datasets`_
* anomaly calculation based on climatology or using a moving window see :mod:`pytesmo.anomaly`
* easy temporal matching of time series see :mod:`pytesmo.temporal_matching`
* multiple methods for scaling between different observation domains (CDF matching, linear regreesion, min-max matching) see :mod:`pytesmo.scaling`
* calculate standard metrics like correlation coefficients, RMSD, bias,
as well as more complex ones like triple collocation or MSE as a decomposition of the RMSD see :mod:`pytesmo.metrics`
Supported Datasets
==================
Soil moisture is observed using different methods and instruments, in this version the following datasets are supported.
Remotely sensed products
------------------------
In this version soil moisture observations made with the following instruments are supported:
ERS
~~~
* ERS-1/2 AMI 25km SSM (Surface Soil Moisture)
available from http://rs.geo.tuwien.ac.at/products
ASCAT
~~~~~
* ASCAT SSM(Surface Soil Moisture) Time Series
Available in custom format from http://rs.geo.tuwien.ac.at/products/
Available in netCDF format from http://hsaf.meteoam.it/soil-moisture.php
* ASCAT SWI(Soil Water Index) Time Series
Available in custom format from http://rs.geo.tuwien.ac.at/products/
insitu obervations
------------------
Data from the International Soil Moisture Network (ISMN)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
ISMN data can be downloaded for free after registration from http://ismn.geo.tuwien.ac.at/
Release files for pytesmo 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pytesmo-0.2.1.tar.gz | 17.0 MB | Details |
Release files / pytesmo-0.2.1.tar.gz
| Download URL | pytesmo-0.2.1.tar.gz |
|---|---|
| Size | 17.0 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
28de3a8a6f299f0cedcdb9a4de2d5a5efed3bd1c06380657caa9b5724bd7c236
|
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