prosail | Python bindings for the PROSAIL canopy reflectance model

by jgomezdans Python Version: Current License: No License

X-Ray Key Features Code Snippets(3)Community Discussions(3)Vulnerabilities Install Support

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Python bindings for the PROSAIL canopy reflectance model

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prosail Key Features

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prosail Examples and Code Snippets

PROSAIL Python Bindings,Using the bindings,run_prosail

Python

Lines of Code : 4

License : No License

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rho_canopy = prosail.run_prosail(n, cab, car, cbrown, cw, cm, lai, lidfa, hspot, tts, tto, psi, \
                    ant=0.0, alpha=40.0, prospect_version='5', typelidf=2, lidfb=0.0, \
                    factor='SDR', rsoil0=None, rsoil=None, psoil

PROSAIL Python Bindings,Installing the bindings

Python

Lines of Code : 3

License : No License

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python setup.py install

  conda install python=2.7 numpy numba scipy
  pip install -U backports.functools_lru_cache

PROSAIL Python Bindings,Using the bindings,run_prospect

Python

Lines of Code : 2

License : No License

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lam, rho, tau = prosail.run_prospect(n, cab, car, cbrown, cw, cm, ant=8.0)

lam, rho, tau = prosail.run_prospect(n, cab, car, cbrown, cw, cm, prospect_version='5')

Community Discussions

Trending Discussions on prosail

Error while running CNN for 1 dimensional data in R

Dynamically fitting two straight lines and getting the crossing point between those lines in R

How to compare the inputs of two entries using single tkinter function for a bunch of such pairs of entries?

QUESTION

Error while running CNN for 1 dimensional data in R

Asked 2020-Oct-14 at 10:55

I am trying to run 1 dimensional CNN in R using keras package. I am trying to create one-dimensional Convolutional Neural Network (CNN) architecture with the following specification

...

ANSWER

Answered 2020-Oct-14 at 10:55

You have too many Max-Pooling layers, the max pooling layer reduces the dimension of the inputted vector by factor of its parameter.

Try to reduce the pool_size parameters , or alternatively remove the last 2 max-pooling layers. A value you can try is pool_size=2 for all layers.

As for the parameters you should learn of the meaning of them: Here you can find an explanation of the convolution layer and max pooling layer parameters like filters , kernel size and pool size: Convolutional layer

The dropout layer is a regularization which maximize the effectiveness of the layer weights , every epoch it zeroes different percent (size of "rate" parameter) of the weights . the larger the rate - you have less overfitting but training time is longer. learn about it here: Dropout layer

The units is the size of the Fully Connected layer. Fully Connected layer

The input shape is a dimensions of your data, when the number of records does not count. In 1d vectors it is (N,C) when N is the vector length and C is number of channels you have, if you have 1 channel it is (N,1). In 2d vectors it is (Height,Width,Channels).

Source https://stackoverflow.com/questions/64311427

QUESTION

Dynamically fitting two straight lines and getting the crossing point between those lines in R

Asked 2020-Jul-31 at 14:22

I am having a spectral reflectance data like

...

ANSWER

Answered 2020-Jul-31 at 14:22

There is not a single unique answer to this question, because there is not a unique reflectance line (each ID has its own reflectance line and therefore its own unique crossing point). If we take your subsetted data like this:

Source https://stackoverflow.com/questions/63192096

QUESTION

How to compare the inputs of two entries using single tkinter function for a bunch of such pairs of entries?

Asked 2019-Jun-16 at 20:28

I want to validate two tkinter entries. One called minimum and the other called maximum. Of course, I want to make sure that minimum does not exceed maximum. And there is a third entry called increment which has to be lesser than maximum. There are a set of 15 such entries which I am trying to validate.

I have tried using for loop and tracing the textvariable of each entry. But inside the for loop, I am able to validate only a single entry box. Also, when I skip the validation for that specific one entry called the txtCab, it throws the following exception: If I do it for all the widgets, it does work, but fails some times.

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ANSWER

Answered 2019-Jun-07 at 18:21

I'm not sure whether this answers your question but it should point you in the right direction.

I couldn't make much sense of your code. I've produced a 15 row x 4 column grid. The 4th column is a message that the 3 fields next to it are 'OK' or if not indicate the problem. The validation is run on the whole grid for each keypress. If this is too slow a validate button could launch the validation instead.

Source https://stackoverflow.com/questions/56413515

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