isofit.radiative_transfer.engines.sRTMnet
=========================================

.. py:module:: isofit.radiative_transfer.engines.sRTMnet


Attributes
----------

.. autoapisummary::

   isofit.radiative_transfer.engines.sRTMnet.Logger


Classes
-------

.. autoapisummary::

   isofit.radiative_transfer.engines.sRTMnet.tfLikeModel
   isofit.radiative_transfer.engines.sRTMnet.SimulatedModtranRT


Functions
---------

.. autoapisummary::

   isofit.radiative_transfer.engines.sRTMnet.ray_predict
   isofit.radiative_transfer.engines.sRTMnet.build_sixs_config


Module Contents
---------------

.. py:data:: Logger

.. py:class:: tfLikeModel(input_file=None, key=None, layer_read=True)

   .. py:method:: leaky_re_lu(x, alpha=0.4)


   .. py:method:: predict(x)


   .. py:method:: load_arrays(i)


.. py:function:: ray_predict(model, x, layer_read=True)

.. py:class:: SimulatedModtranRT(engine_config: RadiativeTransferEngineConfig, lut_path: str = '', lut_grid: dict = None, wavelength_file: str = None, interpolator_style: str = 'mlg', build_interpolators: bool = True, overwrite_interpolator: bool = False, wl: numpy.array = [], fwhm: numpy.array = [])

   Bases: :py:obj:`isofit.radiative_transfer.radiative_transfer_engine.RadiativeTransferEngine`


   A hybrid surrogate-model and emulator of MODTRAN-like results.  A description of
   the model can be found in:
       P.G. Brodrick, D.R. Thompson, J.E. Fahlen, M.L. Eastwood, C.M. Sarture, S.R. Lundeen, W. Olson-Duvall,
       N. Carmon, and R.O. Green. Generalized radiative transfer emulation for imaging spectroscopy reflectance
       retrievals. Remote Sensing of Environment, 261:112476, 2021.doi: 10.1016/j.rse.2021.112476.


   .. py:attribute:: lut_quantities


   .. py:attribute:: aux_quantities


   .. py:attribute:: _disable_makeSim
      :value: True



   .. py:method:: preSim()

      sRTMnet leverages 6S to simulate results which is best done before sRTMnet begins
      simulations itself



   .. py:method:: makeSim(point)

      sRTMnet does not implement a makeSim because it leverages 6S as its simulator
      As such, preSim() to create 6S, readSim() to process the 6S results



   .. py:method:: readSim(point)

      Resamples the predicts produced by preSim to be saved in self.lut_path



   .. py:method:: postSim()

      Post-simulation adjustments for sRTMnet.



.. py:function:: build_sixs_config(engine_config)

   Builds a configuration object for a 6S simulation using a MODTRAN template