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deep-data-package-1.0.0
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مشاهده بیشترتوضیحات
Hyperion and AVIRIS: file reader, multiple band indici calculator, and interactive mapper
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | deep-data-package-1.0.0 |
| نام | deep-data-package |
| نسخه کتابخانه | 1.0.0 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Team Deep-Data |
| ایمیل نویسنده | seansmith@mines.edu |
| آدرس صفحه اصلی | https://github.com/seansmith-mines/Deep-Data/archive/v1.0.0.tar.gz |
| آدرس اینترنتی | https://pypi.org/project/deep-data-package/ |
| مجوز | - |
################################################################################
#
# Copyright (C) 2019 Team Deep-Data, Colorado School of Mines
#
# Date created: 1/22/19
# Date last updated:
#
# Creators:
# - Sean Smith seansmith@mines.edu
# - Tyler Murphy tmurphy@mines.edu
# - Tyler Blount trblount@mines.edu
# - Sydney Nelson snelson1@mines.edu
# - Josh Grego jgrego@mines.edu
# - Jake Steiner msteiner@mines.edu
# - Marcelo Gonzales magonzal@mines.edu
# - Daniel Hanuszczak danielhanuszczak@mines.edu
#
################################################################################
Included below are file descriptions for all files in deep_data_package module
along will descriptions of functionality.
################################################################################
### file_reader.py ###
################################################################################
Module for reading AVIRIS flight data and mapping
# OVERVIEW =====================================================================
Classes ====================================================================
hyperion_band_reader
aviris_band_reader
pickled_aviris_band_reader
Functions ==================================================================
select_closest_band
create_pickled_aviris_flight
get_available_aviris_flights
get_available_pickled_aviris_flights
get_available_hyperion_passes
# CLASS hyperion_band_reader ===================================================
Class for reading Hyperion data from GEOtiff L1 files
NOTE: bands 1-70 and VNIR, bands 71-242 are SWIR
Reference ==================================================================
https://archive.usgs.gov/archive/sites/eo1.usgs.gov/EO1userguidev2pt320030715UC.pdf
https://crisp.nus.edu.sg/~research/tutorial/eo1.htm
https://crisp.nus.edu.sg/~research/tutorial/eo1.htm
Inputs =====================================================================
Optional:
hyperion_pass - name of Hyperion pass to load (Default EO1H0410362008289110KF)
scale_factor - number to divide bands by (Defaul 80 to get radiance values)
Returns ====================================================================
class to load radiance bands as np arrays
class Attributes ===========================================================
band_reader.hyperion_pass - Hyperion flight loaded
band_reader.scale_factor - number to divide bands by (Defaul 80 to get radiance values)
band_reader.mode - self identified mode for reference ('hyperion')
band_reader.approx_band_centers - string refence to what band centers correspond to what files in Hyperion GEOtif files
self.swir_actual_band_centers - caluclated band centers for SWIR bands (for reference)
METHODS ====================================================================
load_band ==============================================================
By defualt loads Hyperion pass EO1H0410362008289110KF over sunshine canyon
landfill
Reference ==========================================================
N/A
Inputs =============================================================
band_req - band wavelength to load
adjust_for_gain - N/A
Returns ============================================================
2D np array of radiance data for band wavelength called
- To load a row
band_array[row_number, :]
- To load a column
band_array[:, col_number]
- To load a pixel
band_array[row_number, col_number]
load_pixel =============================================================
Function for reading all bands of an individual pixel from AVIRIS
flight data
Reference ==========================================================
N/A
Inputs =============================================================
row - int of row number of requested pixel
col - int of column number of requested pixel
adjust_for_gain - N/A
Returns ==========================================================
Ordered dict of wavelengths vs irradiance for requested pixel
# CLASS aviris_band_reader =====================================================
Class for reading AVIRIS flight data from uncompressed AVIRIS flight
folder. No files need to be modified after downloading from AVIRIS data
portal. Just uncompress in the aviris_flight_folder and go.
By defualt loads AVIRIS flight f111115t01p00r08 over sunshine canyon
landfill
Reference ==============================================================
N/A
Inputs =================================================================
Optional:
aviris_flight_number - AVIRIS flight number to load
aviris_filename - filename to load in AVIRIS flight number folder
samples - from hdr file in AVERIS flight folder (Defualt 780)
lines - from hdr file in AVERIS flight folder (Defualt 8355)
bands - from hdr file in AVERIS flight folder (Defualt 224)
aviris_calibration_filename - name of AVIRIS file for reflectance calibration
aviris_gain_filename - name of AVIRIS gain file for reflectance calibration
Returns ================================================================
class to load radiance bands as np arrays
class Attributes =======================================================
band_reader.aviris_flight - AVIRIS flight loaded
band_reader.n_cols - number of columns in AVIRIS band file (equals input samples)
band_reader.n_rows - number of rows in AVIRIS band file (equals input lines)
band_reader.n_bands - number of bands in AVIRIS band file (equals input bands)
band_reader.scale_factor - multiplier of bands (equals input scale_factor)
band_reader.aviris_flight_folder_filepath - full filepath for AVIRIS flight folder
band_reader.bands_filepath - full filepath for AVIRIS band file
band_reader.info - dict with useful info from AVIRIS flight
Contains:
# General info
['info']['n_rows'] = number of rows in .npy files
['info']['n_cols'] = number of columns in .npy files
['info']['n_bands'] = number of bands from AVIRIS flight
['info']['AVIRIS_flight'] = aviris_flight
# Band info
['band_calibration']['band_quantity'] = 'Wavelength'
['band_calibration']['band_unit'] = 'nm'
['band_calibration']['centers'] = mathmatical center of wavelength
['band_calibration']['bandwidths'] = bandwidths of wavelengths
['band_calibration']['bands'] = wavelengths callable
# Gain values
['gain_values'] = np array of gain values for each band
Call any of above w/ band_reader.info['INSERT_AS_SHOWN_ABOVE']
METHODS ====================================================================
parse_aviris_flight ====================================================
Function for loading AVIRIS flight files of the first time
By defualt loads AVIRIS flight f111115t01p00r08 over sunshine canyon landfill
Inputs =============================================================
info_file_name - name for info file to be written by parser
aviris_calibration_filename - name of AVIRIS file for reflectance calibration
aviris_gain_filename - name of AVIRIS gain file for reflectance calibration
Returns ============================================================
flight_dict - dict with useful info from AVIRIS flight
Contains:
# General info
['info']['n_rows'] = number of rows in .npy files
['info']['n_cols'] = number of columns in .npy files
['info']['n_bands'] = number of bands from AVIRIS flight
['info']['AVIRIS_flight'] = aviris_flight
# Band info
['band_calibration']['band_quantity'] = 'Wavelength'
['band_calibration']['band_unit'] = 'nm'
['band_calibration']['centers'] = mathmatical center of wavelength
['band_calibration']['bandwidths'] = bandwidths of wavelengths
['band_calibration']['bands'] = wavelengths callable
# Gain values
['gain_values'] = np array of gain values for each band
get_memmap =============================================================
Function for loading memmap of AVIRIS band file
Inputs =============================================================
N/A
Returns ============================================================
np.memmap of AVIRIS band file
load_band ==============================================================
Function for reading AVIRIS flight data from .npy files pickled by
create_pickled_aviris_flight()
By defualt loads AVIRIS flight f111115t01p00r08 over sunshine canyon
landfill
Reference ==========================================================
N/A
Inputs =============================================================
band_req - band wavelength to load
adjust_for_gain - If want to divide band array by gain value in .gain file (Default: False)
Returns ============================================================
2D np array of radiance data for band wavelength called
- To load a row
band_array[row_number, :]
- To load a column
band_array[:, col_number]
- To load a pixel
band_array[row_number, col_number]
load_pixel =============================================================
Function for reading all bands of an individual pixel from AVIRIS
flight data
Reference ==========================================================
N/A
Inputs =============================================================
row - int of row number of requested pixel
col - int of column number of requested pixel
adjust_for_gain - N/A
Returns ============================================================
Ordered dict of wavelengths vs irradience for requested pixel
# CLASS pickled_aviris_band_reader =============================================
Class for reading AVIRIS flight data from .npy files pickled by
create_pickled_aviris_flight()
By defualt loads AVIRIS flight f111115t01p00r08 over sunshine canyon
landfill
Reference ==============================================================
N/A
Inputs =================================================================
Optional:
aviris_flight - AVIRIS flight to load
Returns ================================================================
class to load radiance bands as np arrays
class Attributes =======================================================
band_reader.aviris_flight - AVIRIS flight loaded
band_reader.np_path - path will load .npy files from
band_reader.info - dict with useful info from AVIRIS flight
Contains:
# General info
['info']['n_rows'] = number of rows in .npy files
['info']['n_cols'] = number of columns in .npy files
['info']['n_bands'] = number of bands from AVIRIS flight
['info']['AVIRIS_flight'] = aviris_flight
# Band info
['band_calibration']['band_quantity'] = 'Wavelength'
['band_calibration']['band_unit'] = 'nm'
['band_calibration']['centers'] = mathmatical center of wavelength
['band_calibration']['bandwidths'] = bandwidths of wavelengths
['band_calibration']['bands'] = wavelengths callable
# Gain values
['gain_values'] = np array of gain values for each band
Call any of above w/ band_reader.info['INSERT_AS_SHOWN_ABOVE']
METHODS ====================================================================
load_band ==============================================================
Function for reading AVIRIS flight data from .npy files pickled by
create_pickled_aviris_flight()
Reference ==========================================================
N/A
Inputs =============================================================
band_req - band wavelength to load
Returns ============================================================
2D np array of radiance data for band wavelength called
- To load a row
band_array[row_number, :]
- To load a column
band_array[:, col_number]
- To load a pixel
band_array[row_number, col_number]
load_pixel =============================================================
Function for reading all bands of an individual pixel from AVIRIS
flight data from .npy files pickled by create_pickled_aviris_flight()
Reference ==========================================================
N/A
Inputs =============================================================
row - int of row number of requested pixel
col - int of column number of requested pixel
adjust_for_gain - N/A
Returns ============================================================
Ordered dict of wavelengths vs irradience for requested pixel
# FUNCTION select_closest_band =================================================
Returns closest band available to band_req.
Inputs =============================================================
band_req - band wavelength to match
band_req - list of band wavelengths available
Returns ============================================================
band available, if two numbers are equally close, returns the
smallest number.
# FUNCTION create_pickled_aviris_flight ========================================
Function for creating pickled AVIRIS flight data using spectral python library
By defualt loads AVIRIS flight f111115t01p00r08 over sunshine canyon landfill
Reference ==============================================================
N/A
Inputs =================================================================
Optional:
aviris_flight - AVIRIS flight number
aviris_flight_folder - AVIRIS flight folder to load
aviris_bands_filename - filename to load in AVIRIS flight number folder
samples - from hdr file in AVERIS flight folder (Defualt 780)
lines - from hdr file in AVERIS flight folder (Defualt 8355)
bands - from hdr file in AVERIS flight folder (Defualt 224)
aviris_calibration_filename - name of AVIRIS file for reflectance calibration
aviris_gain_filename - name of AVIRIS gain file for reflectance calibration
adjust_for_gain - if should devide bands by associated gain value to true values (Default False)
scale_factor - if want to dived all values by some value (Default 10000.0)
Returns ================================================================
N/A
# FUNCTION get_available_aviris_flights ========================================
Function listing all AVIRIS flights available
Inputs =================================================================
N/A
Returns ================================================================
List of AVIRIS flights available
# FUNCTION get_available_pickled_aviris_flights ================================
Function listing all pickled AVIRIS flights available
Inputs =================================================================
N/A
Returns ================================================================
List of pickled AVIRIS flights available
# FUNCTION get_available_hyperion_passes =======================================
Function listing all Hyperion passes available
Inputs =================================================================
N/A
Returns ================================================================
List of Hyperion passes available
################################################################################
################################################################################
### mapper.py ###
################################################################################
Module for mapping band ratio output arrays
# OVERVIEW =====================================================================
Functions ==================================================================
create_heatmap_interactive
# FUNCTION create_heatmap_interactive ==========================================
Function for creating an interactive heatmap
Reference ==============================================================
N/A
Inputs =================================================================
band_reader - band_reader class instance
bandratio_array - bandratio result array for heatmap
bandratio_array_name - name of bandratio calculated
flight_name - name of the flight
alpha - transparency value of overlay (Defualt 0.6)
gamma_1 - threshold value for map (Default mean of normalized bandratio_array)
interval - step value of threshold slider (Default 0.00001)
std_multiplier - multiplier of std for range of values of threshold slider (Default 3)
clipped - if want clipped heatmap instead of default treshhold (Default False)
display - show plt (Default True)
save - save plt when (Default False)
cmap - color scheme for heatmap (Default 'hot' for threshold, 'jet' for clipped)
quiet - if should not log info about bandratio_array (Defualt False)
rgb_scale_value - float value to increase brightness of rgb image
Returns ================================================================
N/A
################################################################################
################################################################################
### band_ratios.py ###
################################################################################
Module for calculating band ratios
# OVERVIEW =====================================================================
Functions ==================================================================
Deep_Data
HI_1453
HI_1215
HI_1732
GM
NDVI
NDPI
# FUNCTION Deep_Data ===========================================================
Deep-Data Hydrocarbon Index ================================================
Convert numpy arrays of radiance data to a Deep-Data hydrocarbon
index map
Inputs =====================================================================
L_1197 : At-sensor radiance at 1197 nm wavelength (numpy array)
L_1216 : At-sensor radiance at 1216 nm wavelength (numpy array)
L_1235 : At-sensor radiance at 1235 nm wavelength (numpy array)
L_1373 : At-sensor radiance at 1373 nm wavelength (numpy array)
L_1453 : At-sensor radiance at 1453 nm wavelength (numpy array)
L_1503 : At-sensor radiance at 1503 nm wavelength (numpy array)
Returns ====================================================================
Deep-Data Hydrocarbon Index Map
# FUNCTION HI_1453 =============================================================
1453 Hydrocarbon Index =====================================================
Convert numpy arrays of radiance data to a 1453 hydrocarbon index map
Inputs =====================================================================
L_1373 : At-sensor radiance at 1373 nm wavelength (numpy array)
L_1453 : At-sensor radiance at 1453 nm wavelength (numpy array)
L_1503 : At-sensor radiance at 1503 nm wavelength (numpy array)
Returns ====================================================================
1453 Hydrocarbon Index Map
# FUNCTION HI_1215 =============================================================
1215 Hydrocarbon Index =====================================================
Convert numpy arrays of radiance data to a 1215 hydrocarbon index map
Inputs =====================================================================
L_1197 : At-sensor radiance at 1197 nm wavelength (numpy array)
L_1216 : At-sensor radiance at 1216 nm wavelength (numpy array)
L_1235 : At-sensor radiance at 1235 nm wavelength (numpy array)
Returns ====================================================================
1215 Hydrocarbon Index Map
# FUNCTION HI_1732 =============================================================
1732 Hydrocarbon Index =================================================
Convert numpy arrays of radiance data to a 1732 hydrocarbon index map
Inputs =====================================================================
L_1705 : At-sensor radiance at 1705 nm wavelength (numpy array)
L_1729 : At-sensor radiance at 1729 nm wavelength (numpy array)
L_1741 : At-sensor radiance at 1741 nm wavelength (numpy array)
Returns ====================================================================
1732 Hydrocarbon Index Map
# FUNCTION GM ==================================================================
Goddijn-Murphy Index =======================================================
From: "Proof of concept for a model of light reflectance of plastics
floating on natural waters" by Lonneke Goddijn-Murphy and Juvenal
Dufaur. - See Table 5
Convert numpy arrays of radiance data to a Goddijn-Murphy map
Inputs =====================================================================
L_850 : At-sensor radiance at 850 nm wavelength (numpy array)
L_1660 : At-sensor radiance at 1660 nm wavelength (numpy array)
Returns ====================================================================
Goddijn-Murphy Map
# FUNCTION NDVI ================================================================
NDVI =======================================================================
Convert numpy arrays of radiance data to a NDVI map
Inputs =====================================================================
L_1006 : At-sensor radiance at 1006 nm wavelength (numpy array)
L_675 : At-sensor radiance at 675 nm wavelength (numpy array)
Returns ====================================================================
NDVI Map
# FUNCTION NDPI ================================================================
NDPI =======================================================================
Convert numpy arrays of radiance data to a NDPI map
Inputs =====================================================================
L_1263 : At-sensor radiance at 1263 nm wavelength (numpy array)
L_2417 : At-sensor radiance at 2417 nm wavelength (numpy array)
Returns ====================================================================
NDPI Map
################################################################################
نحوه نصب
نصب پکیج whl deep-data-package-1.0.0:
pip install deep-data-package-1.0.0.whl
نصب پکیج tar.gz deep-data-package-1.0.0:
pip install deep-data-package-1.0.0.tar.gz