--- # Dataset $schema: https://schemas.opendatacube.org/dataset id: 9f9665ff-b51b-46aa-b656-7ceb6341feb8 label: ga_ls_wo_fq_nov_mar_3_x42y37_2018-11-01_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: [[[1344000.0, -1824000.0], [1344000.0, -1920000.0], [1440000.0, -1920000.0], [1440000.0, -1824000.0], [1344000.0, -1824000.0]]] grids: default: shape: [3200, 3200] transform: [30.0, 0.0, 1344000.0, 0.0, -30.0, -1824000.0, 0.0, 0.0, 1.0] properties: datetime: 2018-11-01 00:00:00Z dea:dataset_maturity: final dtr:end_datetime: 2019-03-31 23:59:59.999999Z dtr:start_datetime: 2018-11-01 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 06:01:38.116700Z odc:producer: ga.gov.au odc:product: ga_ls_wo_fq_nov_mar_3 odc:product_family: wo odc:region_code: x42y37 measurements: count_clear: path: ga_ls_wo_fq_nov_mar_3_x42y37_2018-11--P5M_final_count_clear.tif count_wet: path: ga_ls_wo_fq_nov_mar_3_x42y37_2018-11--P5M_final_count_wet.tif frequency: path: ga_ls_wo_fq_nov_mar_3_x42y37_2018-11--P5M_final_frequency.tif accessories: thumbnail: path: ga_ls_wo_fq_nov_mar_3_x42y37_2018-11--P5M_final_thumbnail.jpg checksum:sha1: path: ga_ls_wo_fq_nov_mar_3_x42y37_2018-11--P5M_final.sha1 metadata:processor: path: ga_ls_wo_fq_nov_mar_3_x42y37_2018-11--P5M_final.proc-info.yaml lineage: ard: - bf23bffe-ca39-5908-8317-d12fbf6f70f8 - 9c90c252-80c2-54b2-a9d2-1d60bd6e1227 - 3f1b96f4-14d3-573c-b9a7-aaaccfe87e8a - 2d121c48-ad0f-5db4-8639-a857e8c36f15 - 3b967a2a-8b6c-5c9b-a702-de8b0d4e8c97 - b685e80b-7567-5ebe-9637-8dfff17f3185 - a465bd4c-752d-5cf8-bce2-d86bd4e60151 - 9f31fc2a-e9c2-5297-a68a-4c227848004f - f93b4eed-f273-5e62-8fba-5d98bca4f125 - 6d36f82b-f6b4-5249-87c9-4e41ea019cf0 - 462986e4-7a2d-5955-8ecd-d36dd7edacc0 - b1316557-207c-56ac-b93c-75a8b860bbc6 - 59e67bc4-2129-5784-b0c0-3a12e63fbe38 - 237fca3e-d362-5f5b-8672-c7361df9c822 - 3efb03cc-a2e0-5f20-b034-ebca3c7f946d - 991cba40-093e-52f4-a6da-03836f4d5621 - b6bed3c8-73f8-53a2-9e99-57d7da192c94 - a87a921f-bb2a-59c0-a7f4-128e6632805f - b2ab3d73-e6c4-5137-a5c4-e9a39f02c9f3 - 29196041-5c84-5e9f-bd18-389f6d9ae6d9 - 5e3e007f-1bd9-5dae-8ce1-38100fd647f4 - 28ffad62-1ce6-550a-8ce8-33249065fe0c - 9e9feb92-27cc-533d-a82a-216a7b037e0e - 9d249570-c763-5223-be8b-9fd9dfa141c1 - a3ffcb4b-fc1d-5454-847e-fec6b1b7be3a - 60231db2-1b47-5e2f-aa5b-4157a83f6318 - 3ff2d84f-c701-598b-9170-8f2147a9616d - b4e70545-8103-50a7-ab7e-da8cfdb02484 - 39ae4be4-f87c-58f0-957e-239947b7142b - 271c7f6b-ffed-5029-9341-03fd9441fd8b - 12b774c8-1feb-5dc3-a085-c37b49fa9dc6 - d5233c18-3a80-5519-9355-477ff9d6784f - ff9f5c37-4d94-524b-8a0c-0a3ade7b0130 - d64465ea-8b12-504e-868d-9d3c29f64bb0 - ed266ce7-7cb2-522b-95c4-276469997dc7 - 96720d6a-9918-50d2-a7c9-f03ee96dc800 - d8438ce1-ccd7-5c96-b16e-6fca0502b5be - 30a22e59-5cc5-5793-8df4-e0d5f19fd642 - 3ce7494c-4fa5-5182-a32f-7c7404b75e57 - 60f1b8e3-11ab-50cd-86a6-d30caf65b63c - 5090d0b1-2ef2-53bb-a512-28311d571583 ...