import pandas as pd

col_product_type = 'Product Type'
## Landsat
ls5_c1_l2_product_type = 'Landsat 5 Collection 1 Level 2 (SR)'
ls7_c1_l2_product_type = 'Landsat 7 Collection 1 Level 2 (SR)'
ls8_c1_l2_product_type = 'Landsat 8 Collection 1 Level 2 (SR)'
ls5_c2_l2_product_type = 'Landsat 5 Collection 2 Level 2 (SR)'
ls7_c2_l2_product_type = 'Landsat 7 Collection 2 Level 2 (SR)'
ls8_c2_l2_product_type = 'Landsat 8 Collection 2 Level 2 (SR)'
# Sentinel-1
sntnl1_product_type = 'Sentinel-1'
## Sentinel-2
sntnl2_l1c_product_type = 'Sentinel-2 Level 1C'
sntnl2_l2a_product_type = 'Sentinel-2 Level 2A (Copernicus Format)'
## JERS-1
jers1_sar_hh_product_type = 'JERS-1 SAR (HH)'
## Copernicus Global Land Cover
copernicus_glc_product_type = 'Copernicus Global Land Cover'
## Black Marble Night Lights 
black_marble_night_lights_product_type = 'Black Marble Night Lights'

# File Path Variables #

idx_scr_dir = 'index_scripts'
prod_def_dir = 'prod_defs'

# End File Path Variables #
