--- # Dataset $schema: https://schemas.opendatacube.org/dataset id: 853ee0b2-9a03-46ad-9a91-a3e3d20cc97d label: ga_ls_wo_fq_nov_mar_3_x42y39_1987-11-01_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, -1632000.0], [1344000.0, -1728000.0], [1440000.0, -1728000.0], [1440000.0, -1632000.0], [1344000.0, -1632000.0]]] grids: default: shape: [3200, 3200] transform: [30.0, 0.0, 1344000.0, 0.0, -30.0, -1632000.0, 0.0, 0.0, 1.0] properties: datetime: 1987-11-01 00:00:00Z dea:dataset_maturity: final dtr:end_datetime: 1988-03-31 23:59:59.999999Z dtr:start_datetime: 1987-11-01 00:00:00Z eo:gsd: 30.0 # Ground sample distance (m) eo:instrument: TM eo:platform: landsat-5 odc:collection_number: 3 odc:dataset_version: 1.6.0 odc:file_format: GeoTIFF odc:processing_datetime: 2021-11-16 00:36:17.732653Z odc:producer: ga.gov.au odc:product: ga_ls_wo_fq_nov_mar_3 odc:product_family: wo odc:region_code: x42y39 measurements: count_clear: path: ga_ls_wo_fq_nov_mar_3_x42y39_1987-11--P5M_final_count_clear.tif count_wet: path: ga_ls_wo_fq_nov_mar_3_x42y39_1987-11--P5M_final_count_wet.tif frequency: path: ga_ls_wo_fq_nov_mar_3_x42y39_1987-11--P5M_final_frequency.tif accessories: thumbnail: path: ga_ls_wo_fq_nov_mar_3_x42y39_1987-11--P5M_final_thumbnail.jpg checksum:sha1: path: ga_ls_wo_fq_nov_mar_3_x42y39_1987-11--P5M_final.sha1 metadata:processor: path: ga_ls_wo_fq_nov_mar_3_x42y39_1987-11--P5M_final.proc-info.yaml lineage: ard: - fd1f396a-e0a0-5866-92ee-730caa2f2064 - 07662aa1-8a78-54e3-bdf7-fa8d9b82e5c8 - df1f8b64-843a-59a4-94bf-5d7a7e6b5eb6 - 81c5a2ac-606b-5e89-b302-0a82146af1f5 - fa4321d1-ce45-5ace-8ed7-d7dc27e950a3 - 51dc90fe-3443-50e2-9f0a-52e6c795abce - 1c63bce8-e16b-583e-a0ad-038383deb56a - 9c639e25-8e11-5f11-ad41-a9bb1da50909 - 36cb3832-53f5-5c6c-9af9-dbcf455c20ad - dae8d461-6a82-5cb0-bdd8-3f99cbc76bff - 18c09df4-6c89-5902-8446-40c186abe575 - 09544d8f-acde-5844-b529-b13b9a9423a4 - 6e95db63-c123-5999-8f1f-6d8214593084 - 99c5eed6-43e6-50d9-90e0-5cc86e65996b - 4f57aa16-669c-5d01-bbee-9ccf785c5bb5 - 0e786ce2-fa6f-5e01-88c7-7ef9529b3c10 - 49447145-9d2b-553b-ba7a-6e1cfe9e2b42 - efa7658e-cf7f-5f92-913a-d8aaf844ddd9 - e5a7e4b0-be14-5ad5-8027-fa874ed8ba78 - c1ccb460-bbf5-5a4f-8abb-e26a3a7d114b - 332a70ff-523e-5919-b75a-3864342fddeb - c742bd2f-19e5-5e2d-a970-91657e9c0225 - dbfd2e93-a981-5e2a-83ae-bbd5528320ac - 83d5bde9-8419-5b4f-a710-61f918274bb5 - f978e629-d77d-5bca-b6d8-9bfdf85029ae - 1f11ccb0-c15e-504d-960d-f8f43b26e9b8 - b4aa63c2-9903-53c4-bece-d84789a2794e - 975ba3d9-b470-5aef-9d2b-3695eed7f3b0 ...