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Ramona biomass extract udp (#250)
new UDP generating country size COG at 10m updates validation check: openEO allows use of uppercase in process id https://api.openeo.org/#tag/User-Defined-Processes/operation/validate-custom-process
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‎algorithm_catalog/dhi/RAMONA-herbaceous_rangeland_biomass-country-mosaick/benchmark_scenarios/RAMONA-herbaceous_rangeland_biomass-country-mosaick.json‎

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[
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{
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"id": "ramona_benin",
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"type": "openeo",
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"description": "extract for Benin",
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"backend": "openeo.dataspace.copernicus.eu",
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"process_graph": {
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"RAMONA-herbaceous_rangeland_biomass-country-mosaick": {
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"process_id": "RAMONA-herbaceous_rangeland_biomass-country-mosaick",
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"arguments": {
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"year": "2022",
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"month": "06",
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"country": "benin"
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},
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"result": true,
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"namespace": "https://raw.githubusercontent.com/ESA-APEx/apex_algorithms/8efbe040499e0108a6ed7fce5ca92a3f08115a7f/algorithm_catalog/dhi/RAMONA-herbaceous_rangeland_biomass-country-mosaick/openeo_udp/RAMONA-herbaceous_rangeland_biomass-country-mosaick.json"
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}
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},
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"reference_data": {
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"job-results.json": "https://s3.waw3-1.cloudferro.com/apex-benchmarks/gh-15066001243!tests_test_benchmarks.py__test_run_benchmark_max_ndvi_!actual/job-results.json",
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"ramona_hrb.tif": "https://s3.waw3-1.cloudferro.com/apex-benchmarks/gh-15066001243!tests_test_benchmarks.py__test_run_benchmark_max_ndvi_!actual/openEO.tif"
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}
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}
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]

‎algorithm_catalog/dhi/RAMONA-herbaceous_rangeland_biomass-country-mosaick/openeo_udp/RAMONA-herbaceous_rangeland_biomass-country-mosaick.json‎

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{
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"process_graph": {
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"textconcat1": {
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"process_id": "text_concat",
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"arguments": {
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"data": [
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{
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"from_parameter": "year"
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},
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"-",
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{
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"from_parameter": "month"
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},
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"-01T00:00:00Z"
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]
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}
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},
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"dateshift1": {
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"process_id": "date_shift",
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"arguments": {
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"date": {
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"from_node": "textconcat1"
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},
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"unit": "day",
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"value": 1
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}
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},
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"loadstac1": {
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"process_id": "load_stac",
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"arguments": {
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"temporal_extent": [
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{
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"from_node": "textconcat1"
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},
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{
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"from_node": "dateshift1"
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}
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],
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"url": "https://stac.openeo.vito.be/collections/RAMONA_HERBACEOUS_BIOMASS"
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}
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},
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"textconcat2": {
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"process_id": "text_concat",
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"arguments": {
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"data": [
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"https://raw.githubusercontent.com/georgique/world-geojson/refs/heads/develop/countries/",
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{
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"from_parameter": "country"
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},
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".json"
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]
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}
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},
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"loadurl1": {
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"process_id": "load_url",
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"arguments": {
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"format": "GeoJSON",
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"url": {
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"from_node": "textconcat2"
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}
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}
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},
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"filterspatial1": {
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"process_id": "filter_spatial",
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"arguments": {
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"data": {
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"from_node": "loadstac1"
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},
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"geometries": {
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"from_node": "loadurl1"
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}
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}
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},
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"apply1": {
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"process_id": "apply",
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"arguments": {
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"data": {
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"from_node": "filterspatial1"
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},
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"process": {
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"process_graph": {
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"linearscalerange1": {
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"process_id": "linear_scale_range",
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"arguments": {
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"inputMax": 31000,
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"inputMin": -10,
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"outputMax": 31000,
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"outputMin": -10,
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"x": {
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"from_parameter": "x"
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}
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},
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"result": true
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}
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}
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}
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}
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},
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"dropdimension1": {
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"process_id": "drop_dimension",
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"arguments": {
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"data": {
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"from_node": "apply1"
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},
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"name": "t"
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}
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},
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"saveresult1": {
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"process_id": "save_result",
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"arguments": {
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"data": {
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"from_node": "dropdimension1"
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},
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"format": "GTiff",
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"options": {
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"filename_prefix": "ramona_hrb",
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"overviews": "AUTO",
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"tile_size": 512,
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"bands_metadata": {
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"biomass": {
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"SCALE": 0.01,
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"Unit": "g DW per m2 per month"
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}
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}
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}
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},
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"result": true
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}
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},
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"id": "RAMONA-herbaceous_rangeland_biomass-country-mosaick",
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"description": "# RAMONA - Herbaceous Rangeland Biomass (HRB) - Country Level Mosaick\n\nFor a selected African country, year and month, the process returns a mosaic of the monthly HRB products as a single GeoTIFF.\n\nThis is an example output for Benin:\n\n![Benin](https://github.com/ESA-APEx/apex_algorithms/blob/503edd5ef736b740bccb52f946530b33b85f9ee9/algorithm_catalog/dhi/ramona_biomass_extract/openeo_udp/benin_extract.png)\n\n## Methodology\n\nMonthly HRB input files are mosaicked and exported as a GeoTIFF. The RAMONA HRB products have been precomputed. The products were generated for the target year 2022 and specifically from Aug-2021 to January-2023. \n\nMore information can be found at [https://www.ramona.earth/](https://www.ramona.earth/)\n\n## Performance\n\nThe table below lists cost and timings of test runs. You may see (small) deviations from this\nin your own runs.\n\n| Country | Wall time | Credit cost |\n|----------|-------------|-------------|\n| Benin | 3.5 minutes | 6 |\n| Cameroon | 9 minutes | 26 |\n| Ethiopia | 20 minutes | 64 |\n",
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"default_job_options": {
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"driver-memory": "15G",
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"executor-memory": "6G",
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"python-memory": "50m",
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"executor-memoryOverhead": "1500m",
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"driver-memoryOverhead": "5G"
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},
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"parameters": [
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{
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"name": "country",
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"description": "Country for which data is to be extracted.",
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"schema": {
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"type": "string",
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"enum": [
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"algeria",
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"angola",
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"benin",
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"botswana",
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"burkina_faso",
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"burundi",
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"cameroon",
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"cape_verde",
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"central_african_republic",
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"chad",
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"comoros",
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"congo",
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"democratic_congo",
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"djibouti",
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"egypt",
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"equatorial_guinea",
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"eritrea",
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"eswatini",
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"ethiopia",
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"gabon",
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"gambia",
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"ghana",
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"guinea",
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"guinea_bissau",
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"ivory_coast",
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"kenya",
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"lesotho",
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"liberia",
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"libya",
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"madagascar",
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"malawi",
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"mali",
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"mauritania",
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"mauritius",
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"morocco",
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"mozambique",
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"namibia",
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"niger",
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"nigeria",
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"rwanda",
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"sao_tome_and_principe",
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"senegal",
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"seychelles",
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"sierra_leone",
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"somalia",
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"south_africa",
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"south_sudan",
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"sudan",
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"tanzania",
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"togo",
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"tunisia",
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"uganda",
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"western_sahara",
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"zambia",
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"zimbabwe"
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]
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},
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"default": "benin",
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"optional": true
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},
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{
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"name": "year",
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"description": "year",
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"schema": {
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"type": "string",
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"enum": [
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"2021",
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"2022",
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"2023"
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]
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},
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"default": "2021",
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"optional": true
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},
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{
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"name": "month",
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"description": "Data is available between august 2021 and januari 2023.",
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"schema": {
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"type": "string",
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"enum": [
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"01",
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"02",
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"03",
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"04",
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"05",
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"06",
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"07",
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"08",
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"09",
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"10",
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"11",
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"12"
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]
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},
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"default": "10",
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"optional": true
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}
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]
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}

‎algorithm_catalog/dhi/RAMONA-herbaceous_rangeland_biomass-country-mosaick/openeo_udp/README.md‎

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# RAMONA - Herbaceous Rangeland Biomass (HRB) - Country Level Mosaick
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For a selected African country, year and month, the process returns a mosaic of the monthly HRB products as a single GeoTIFF.
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This is an example output for Benin:
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![Benin](https://github.com/ESA-APEx/apex_algorithms/blob/503edd5ef736b740bccb52f946530b33b85f9ee9/algorithm_catalog/dhi/ramona_biomass_extract/openeo_udp/benin_extract.png)
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## Methodology
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Monthly HRB input files are mosaicked and exported as a GeoTIFF. The RAMONA HRB products have been precomputed. The products were generated for the target year 2022 and specifically from Aug-2021 to January-2023.
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More information can be found at [https://www.ramona.earth/](https://www.ramona.earth/)
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## Performance
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The table below lists cost and timings of test runs. You may see (small) deviations from this
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in your own runs.
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| Country | Wall time | Credit cost |
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|----------|-------------|-------------|
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| Benin | 3.5 minutes | 6 |
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| Cameroon | 9 minutes | 26 |
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| Ethiopia | 20 minutes | 64 |

‎algorithm_catalog/dhi/RAMONA-herbaceous_rangeland_biomass-country-mosaick/openeo_udp/benin_extract.png‎

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