config.yml

# The bands or band indices to use
#
# Time series should be store din `time_series_vars` under the project directory.
# E.g.,
#   time_series_vars/<site id>/evi2/20210101.tif
#   ...
#   time_series_vars/<site id>/evi2/20220101.tif
#
# See the README.md for more details.
image_vis:
  - avi
  - evi2
  - gcvi
  - kndvi
  - sipi1

# The training region/grid file path
#
# This file should contain each training site as a polygon feature.
# There should be a 'geo_id' column that contains the unique site id. This site id should
# match the corresponding time series variables (e.g., time_series_vars/<site id>/evi2/20210101.tif).
#
#          geo_id  year       geometry
# 0     site_id_1  2019  POLYGON ((...
# ...         ...   ...            ...
# N     site_id_n  2021  POLYGON ((...
region_id_file:
  - /home/grids-train.gpkg

# The training field/boundaries file path
#
# This file should field polygons. The fields do not need to be clipped to the grids.
# Note that grids with no intersecting polygons will be used in training as treated as
# entirely non-cultivated (i.e., all zeros). There should be a column that defines the
# crop class. For a binary model (crop|not crop), this column can be filled with 1s.
#
#           geo_id  year  crop       geometry
# 0      poly_id_1  2020     1  POLYGON ((...
# ...          ...   ...   ...            ...
# N      poly_id_n  2019     1  POLYGON ((...
polygon_file:
  - /home/fields-train.gpkg

# Each year in `region_id_file` should correspond to the year of harvest
# For US harvest year 2019, an end date of 12-31 would mean 2019-01-01 to 2020-01-01
# For Argentina harvest year 2019, an end date of 07-01 would mean 2018-07-01 to 2019-07-01
start_mmdd: '01-01'
end_mmdd: '12-31'

# The length of the time series
num_months: 12