--- # Dataset $schema: https://schemas.opendatacube.org/dataset id: bdf84c20-a3c4-4a7f-bc0f-2317b46b6bd7 label: ga_ls_wo_fq_nov_mar_3_x22y41_2020-11-01_final product: name: ga_ls_wo_fq_nov_mar_3 href: https://collections.dea.ga.gov.au/product/ga_ls_wo_fq_nov_mar_3 crs: epsg:3577 geometry: type: Polygon coordinates: [[[-576000.0, -1440000.0], [-576000.0, -1536000.0], [-480000.0, -1536000.0], [-480000.0, -1440000.0], [-576000.0, -1440000.0]]] grids: default: shape: [3200, 3200] transform: [30.0, 0.0, -576000.0, 0.0, -30.0, -1440000.0, 0.0, 0.0, 1.0] properties: datetime: 2020-11-01 00:00:00Z dea:dataset_maturity: final dtr:end_datetime: 2021-03-31 23:59:59.999999Z dtr:start_datetime: 2020-11-01 00:00:00Z eo:gsd: 30.0 # Ground sample distance (m) eo:instrument: ETM_OLI_TIRS eo:platform: landsat-7,landsat-8 odc:collection_number: 3 odc:dataset_version: 1.6.0 odc:file_format: GeoTIFF odc:processing_datetime: 2021-11-11 06:12:34.136780Z odc:producer: ga.gov.au odc:product: ga_ls_wo_fq_nov_mar_3 odc:product_family: wo odc:region_code: x22y41 measurements: count_clear: path: ga_ls_wo_fq_nov_mar_3_x22y41_2020-11--P5M_final_count_clear.tif count_wet: path: ga_ls_wo_fq_nov_mar_3_x22y41_2020-11--P5M_final_count_wet.tif frequency: path: ga_ls_wo_fq_nov_mar_3_x22y41_2020-11--P5M_final_frequency.tif accessories: thumbnail: path: ga_ls_wo_fq_nov_mar_3_x22y41_2020-11--P5M_final_thumbnail.jpg checksum:sha1: path: ga_ls_wo_fq_nov_mar_3_x22y41_2020-11--P5M_final.sha1 metadata:processor: path: ga_ls_wo_fq_nov_mar_3_x22y41_2020-11--P5M_final.proc-info.yaml lineage: ard: - 6c09e34a-c6e5-5fe5-9bd2-847d981f6edb - db081499-5cef-5906-b82e-da4760190e71 - a96c1cc3-94d2-5964-816a-147f4520da4d - 04b2f949-0c79-53c6-ba2e-aeed756ea28d - 0f3481fd-7803-521c-af3b-5be3e25806b1 - 0b031d2b-faac-5cd8-8c28-00438beb3dcc - 6761b69d-91f4-593d-afa7-459cfc444b88 - d11f8903-2c31-538a-9698-c3d0027845be - 241beb53-af62-53a9-8084-726069e1a7ae - 8cf37a52-a5cf-58b3-b87a-3bee2dc7b6d9 - f60999e1-031f-5cca-b45e-db56fa6842a8 - 087ebe70-7824-52f7-b660-99f787e43db8 - 018558db-dd0d-59c6-b4fe-c1efc5bccb0f - 34d0bd72-ab32-54fe-81a3-1200c190c80a - ca08583a-4856-5abd-be6b-a36f54433ddb - 12b078c5-76c6-5929-a6a2-6f6f3b502daa - 411ca4e6-17c8-5994-af1b-d6101012a059 - 713ccf6d-d48c-53da-95e1-298ffac4fc8f - 96219f98-bad8-5891-9ad8-7e1bf24bb66a - f963d435-f4b2-5312-9c6c-ac2765de873c - 6f4a1f0f-055d-5ed3-a59d-cb5e8f5fdc53 - a6f3847f-e813-5ba6-b610-349d8d64cf16 - f6338cd6-6792-513f-bf27-ef8ca18c2650 - f0acbe3b-6df8-558a-82e5-79c36a2eebe1 - bcc0ee2f-3030-508d-b8d6-1eebc3c8728a - d38fc0d3-e1f3-5042-8ed0-4aa8b87afbab - c1c7f071-5475-5af5-b4ed-66dda835536a - e1135e1c-9aa5-5a5c-94a4-bd245d7cca2f - adf064a2-6928-56ae-8c38-5a22bda10512 - de43665d-c5cd-5715-9344-c83894ea90cb - 1e9e5a0b-4d1e-5622-9a9f-1f87b4b09344 - f5b4320c-8ce1-5326-99ec-fc21ce936d68 - df76e64e-ffb8-5852-9dc9-ac863b069dd1 - e04f81fa-93c8-5182-a117-d61b7fbded29 - bb929fba-3e13-57a4-ac32-507b81951405 - e599b1e1-e541-50df-8f77-5ed11b94be8f - 97d9a3fe-cd4d-5e59-89a9-69c66e3f7322 ...