data_ingestion/glad/glad_forest_extent_download_merge
Downloads the tiles from Global Land Analysis (GLAD) forest data that intersect with the user input geometry and time range, and merges them into a single raster. The workflow lists the GLAD forest products that intersect with the input geometry and time range, and downloads the filtered products. The downloaded products are merged into a single raster and classified. The result tiles have pixel values categorized into two classes - 0 (non-forest) and 1 (forest). This workflow uses the same forest definition as the Food and Agriculture Organization of the United Nations (FAO).
Sources
input_item: Geometry of interest for which to download the GLAD forest extent data.
Sinks
merged_product: Merged GLAD forest extent product to geometry of interest.
categorical_raster: Raster with the GLAD forest extent data.
Tasks
glad_forest_extent_download: Downloads Global Land Analysis (GLAD) forest extent data.
group_rasters_by_time: This op groups rasters in time according to ‘criterion’.
merge: Merges rasters in a sequence to a single raster.
Workflow Yaml
name: glad_forest_extent_download_merge
sources:
input_item:
- glad_forest_extent_download.input_item
parameters: null
sinks:
merged_product: merge.raster
categorical_raster: glad_forest_extent_download.downloaded_product
tasks:
glad_forest_extent_download:
workflow: data_ingestion/glad/glad_forest_extent_download
group_rasters_by_time:
op: group_rasters_by_time
parameters:
criterion: year
merge:
op: merge_rasters
edges:
- origin: glad_forest_extent_download.downloaded_product
destination:
- group_rasters_by_time.rasters
- origin: group_rasters_by_time.raster_groups
destination:
- merge.raster_sequence
description:
short_description: Downloads the tiles from Global Land Analysis (GLAD) forest data
that intersect with the user input geometry and time range, and merges them into
a single raster.
long_description: The workflow lists the GLAD forest products that intersect with
the input geometry and time range, and downloads the filtered products. The downloaded
products are merged into a single raster and classified. The result tiles have
pixel values categorized into two classes - 0 (non-forest) and 1 (forest). This
workflow uses the same forest definition as the Food and Agriculture Organization
of the United Nations (FAO).
sources:
input_item: Geometry of interest for which to download the GLAD forest extent
data.
sinks:
merged_product: Merged GLAD forest extent product to geometry of interest.
categorical_raster: Raster with the GLAD forest extent data.