harvest-restrictions

Scripts to create Generalized Forest Harvesting Restrictions - a "spatial representation of various land designations that stipulate, to varying degrees, limits on forest harvesting activity."

Method

Each source land designation / restriction is defined as a 'layer' in sources.json. Sources are defined in descending order of importance - if different sources overlap, data from the uppermost source takes priority.

key	description
alias	Key to uniquely identify the data source when processing (lower case, _ separated)
description	Description of the data source
source_type	Type of data - types of BCGW and FILE are supported
source	For sources of type BCGW, the table name. For sources of type FILE, the url or path
layer	For sources of type FILE, the layer to use within the file (optional)
query	Query to subset data in source/layer - ECQL for BCGW sources, OGR SQL for files (optional)
primary_key	The column holding primary key for the given source
field map	Mapping of source column names to new column names
data	Additional data to add to all records of the source, as key(column):value pair

The harvest_restriction key in the data field defines the level of restriction a the given source, where restrictions are:

harvest_restriction	description
1	Protected
2	Prohibited
3	High Restricted
4	Medium Restricted
5	Low Restricted
6	No Special Restriction

For example, this defines National Parks - data come from the BCGW, all parks are included (no query), the name of interest is held in the column ENGLISH_NAME, and these features have a harvest_restriction of 1 (Protected):

    {
        "alias": "park_national",
        "description": "National Park",
        "source_type": "BCGW",
        "source": "WHSE_ADMIN_BOUNDARIES.CLAB_NATIONAL_PARKS",
        "primary_key": "NATIONAL_PARK_ID",
        "query": null,
        "field_mapper": {"name": "ENGLISH_NAME"},
        "data": {"harvest_restriction": 1}
    },

See source.schema.json for a full description.

Output spatial file

Output harvest_restrictions.gdb has the following columns:

column	type	description
harvest_restrictions_id	Integer	Polygon unique identifier
land_designation_name	String	The highest ranking designation for given polygon
land_designation_type_rank	Integer	The rank of the designation type for given polygon
land_designation_type_code	String	The code of the designation type for given polygon
land_designation_type_name	String	The name of the designation type for given polygon
land_designation_primary_key	String	The primary key value for the highest ranking designation for the given polygon
harvest_restriction_class_rank	Integer	The rank of the harvest restriction class for given polygon
harvest_restriction_class_name	String	The name of the harvest restriction class for given polygon
all_land_desig_names	String	All designations that apply to the given polygon
all_land_desig_type_ranks	String	All designations ranks that apply to the given polygon
all_land_desig_type_codes	String	All designations types that apply to the given polygon
all_land_desig_type_names	String	All designations type names that apply to the given polygon
all_land_desig_primary_keys	String	Primary key values for all designations that apply to the given polyon
all_harv_restrict_class_ranks	String	All harvest restriction class ranks that apply to the given polygon
all_harv_restrict_class_names	String	All harvest restriction class names that apply to the given polygon
map_tile_250k	String	NTS 1:250,000 tile name

Development and testing setup

git clone git@github.com:bcgov/harvest-restrictions.git
cd harvest_restrictions
docker compose build
docker compose up -d

Committing changes requires pre-commit - install via your package manager of choice.

Usage

1. Identify any file based sources for which download cannot be scripted, manually upload file to object storage.

2. If making changes to download.py, test the changes:

    docker compose run -it --rm app python -m pytest -v -rxXs
   

3. Edit sources.json as required (note that sources will likely be provided as a csv file)

4. Validate sources.json:

    docker compose run -it --rm app python download.py download --dry_run -v
   

5. Download data to file (specifying output path):

    docker compose run -it --rm app python download.py download -v -o s3://$BUCKET/dss_projects_2026/GeoBC/harvest_restrictions/sources
   

6. Load downloaded files to database (specifying input path):

    docker compose run -it --rm app python download.py cache2pg -v --out_table designations -p s3://$BUCKET/dss_projects_2026/GeoBC/harvest_restrictions/sources
   

7. Run overlays, dump results to file, log result summaries to csv:

    docker compose run -it --rm app ./harvest_restrictions.sh
   

8. Tag a draft release and upload to object storage:

    git tag -a vYYYY-MM-DRAFT -m vYYYY-MM-DRAFT
    docker compose run -it --rm app ./release.sh
   

9. Review the output spatial file and change logs:

   • harvest_restrictions.gdb.zip
   • log_land_designations.csv
   • log_harvest_restrictions.csv

10. Once results are confirmed to be reasonable/correct, tag the current commit as the release, re-run the comparison with the new tag and create the release:

    docker compose run -it --rm app git tag -a vYYYY-MM-DRAFT -m vYYYY-MM-DRAFT
    docker compose run -it --rm app ./release.sh
    

11. Optionally, re-run the entire analysis by manually calling the Github Actions workflow.

designatedlands

This tool is a stripped down version of the designated lands script and could be used for that analysis by adding mine and oil and gas restriction levels to each source in sources.json. Note however that several components of designatedlands are not currently supported by this tool:

• raster based analysis
• config based pre-processing of input sources
• adjustment of tiled processing to include the sliver of BC's official boundary not covered by 250k tiles
• overlay of results with arbitrary admin or eco layer