Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres)\n to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2018-01-12 10:57:07	ga_s2bm_ard_3-2-1_53LLC_2018-01-12_final.stac-item
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HYD_2018-01-15_final.stac-item
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_53KKU_2018-02-08_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51LWC_2018-04-01_final.stac-item
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JGN_2018-06-08_final.stac-item
2018-06-22 10:34:30	ga_s2bm_ard_3-2-1_53HLD_2018-06-22_final.stac-item
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51JYJ_2018-07-04_final.stac-item
2018-08-22 11:38:17	ga_s2bm_ard_3-2-1_51LWC_2018-08-22_final.stac-item
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53HME_2018-08-31_final.stac-item
2018-09-10 10:29:30	ga_s2bm_ard_3-2-1_53JPN_2018-09-10_final.stac-item
2019-01-26 11:32:08	ga_s2bm_ard_3-2-1_51KYB_2019-01-26_final.stac-item
2019-01-27 11:04:36	ga_s2bm_ard_3-2-1_52JDS_2019-01-27_final.stac-item
2019-02-03 10:53:49	ga_s2bm_ard_3-2-1_53KMP_2019-02-03_final.stac-item
2019-05-11 10:46:18	ga_s2bm_ard_3-2-1_53HLE_2019-05-11_final.stac-item
2019-06-09 11:16:05	ga_s2bm_ard_3-2-1_51JXG_2019-06-09_final.stac-item
2019-07-25 09:57:02	ga_s2bm_ard_3-2-1_54HYF_2019-07-25_final.stac-item
2019-07-25 11:33:36	ga_s2bm_ard_3-2-1_51KWS_2019-07-25_final.stac-item
2019-11-14 10:35:14	ga_s2bm_ard_3-2-1_53JMJ_2019-11-14_final.stac-item
2020-01-10 10:27:02	ga_s2bm_ard_3-2-1_53HPA_2020-01-10_final.stac-item
2020-01-11 11:34:44	ga_s2bm_ard_3-2-1_51JTM_2020-01-11_final.stac-item
2020-02-04 11:10:55	ga_s2bm_ard_3-2-1_52LFL_2020-02-04_final.stac-item
2020-02-05 10:40:33	ga_s2bm_ard_3-2-1_53LPG_2020-02-05_final.stac-item
2020-02-12 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-02-12_final.stac-item
2020-03-03 10:34:41	ga_s2bm_ard_3-2-1_54JTQ_2020-03-03_final.stac-item
2020-04-11 11:02:26	ga_s2bm_ard_3-2-1_52KGE_2020-04-11_final.stac-item
2020-05-20 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2020-05-20_final.stac-item
2020-05-23 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2020-05-23_final.stac-item
2020-06-01 12:14:05	ga_s2bm_ard_3-2-1_50KKV_2020-06-01_final.stac-item
2020-08-07 10:26:44	ga_s2bm_ard_3-2-1_53HNC_2020-08-07_final.stac-item
2020-08-20 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2020-08-20_final.stac-item
2020-09-19 10:36:34	ga_s2bm_ard_3-2-1_53HPC_2020-09-19_final.stac-item
2020-10-07 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2020-10-07_final.stac-item
2020-10-13 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2020-10-13_final.stac-item
2020-12-04 10:50:47	ga_s2bm_ard_3-2-1_53LLG_2020-12-04_final.stac-item
2020-12-09 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2020-12-09_final.stac-item
2020-12-10 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2020-12-10_final.stac-item
2020-12-16 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2020-12-16_final.stac-item
2021-02-03 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2021-02-03_final.stac-item
2021-02-08 11:12:45	ga_s2bm_ard_3-2-1_52KED_2021-02-08_final.stac-item
2021-03-06 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-03-06_final.stac-item
2021-03-13 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2021-03-13_final.stac-item
2021-03-18 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2021-03-18_final.stac-item
2021-05-05 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2021-05-05_final.stac-item
2021-05-08 10:07:13	ga_s2bm_ard_3-2-1_54HVE_2021-05-08_final.stac-item
2021-05-18 10:07:40	ga_s2bm_ard_3-2-1_54HWC_2021-05-18_final.stac-item
2021-06-10 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-06-10_final.stac-item
2021-06-21 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2021-06-21_final.stac-item
2021-07-30 10:16:15	ga_s2bm_ard_3-2-1_54HVJ_2021-07-30_final.stac-item
2021-08-06 10:06:35	ga_s2bm_ard_3-2-1_54HXG_2021-08-06_final.stac-item
2021-08-15 10:33:12	ga_s2bm_ard_3-2-1_53KPS_2021-08-15_final.stac-item
2021-08-22 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2021-08-22_final.stac-item
2021-09-13 11:05:45	ga_s2bm_ard_3-2-1_52JDM_2021-09-13_final.stac-item
2021-09-26 11:11:38	ga_s2bm_ard_3-2-1_52LGH_2021-09-26_final.stac-item
2021-10-05 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-10-05_final.stac-item
2021-10-29 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2021-10-29_final.stac-item
2021-11-04 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2021-11-04_final.stac-item
2022-01-06 10:17:01	ga_s2bm_ard_3-2-1_53HQA_2022-01-06_final.stac-item
2022-01-25 10:40:48	ga_s2bm_ard_3-2-1_53LPF_2022-01-25_final.stac-item
2022-03-17 10:16:50	ga_s2bm_ard_3-2-1_53HQB_2022-03-17_final.stac-item
2022-04-13 11:41:55	ga_s2bm_ard_3-2-1_51LVC_2022-04-13_final.stac-item
2022-04-30 11:33:09	ga_s2bm_ard_3-2-1_51KVT_2022-04-30_final.stac-item
2022-05-30 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-05-30_final.stac-item
2022-08-09 11:05:23	ga_s2bm_ard_3-2-1_52JDP_2022-08-09_final.stac-item
2022-09-02 10:42:40	ga_s2bm_ard_3-2-1_53KNU_2022-09-02_final.stac-item
2022-09-03 10:16:44	ga_s2bm_ard_3-2-1_54HVG_2022-09-03_final.stac-item
2022-09-25 10:54:19	ga_s2bm_ard_3-2-1_52JGT_2022-09-25_final.stac-item
2022-09-30 10:07:29	ga_s2bm_ard_3-2-1_54HVD_2022-09-30_final.stac-item
2022-10-01 11:13:25	ga_s2bm_ard_3-2-1_52KBB_2022-10-01_final.stac-item
2022-10-13 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2022-10-13_final.stac-item
2022-10-17 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2022-10-17_final.stac-item
2022-10-20 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2022-10-20_final.stac-item
2022-11-13 11:26:22	ga_s2bm_ard_3-2-1_51HXE_2022-11-13_final.stac-item
2022-11-17 11:02:06	ga_s2bm_ard_3-2-1_52KFG_2022-11-17_final.stac-item
2022-11-26 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-11-26_final.stac-item
2023-01-07 10:31:47	ga_s2bm_ard_3-2-1_53KRB_2023-01-07_final.stac-item
2023-01-07 10:34:23	ga_s2bm_ard_3-2-1_53JNM_2023-01-07_final.stac-item
2023-01-30 10:40:51	ga_s2bm_ard_3-2-1_53LPF_2023-01-30_final.stac-item
2023-02-01 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2023-02-01_final.stac-item
2023-02-12 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2023-02-12_final
2023-02-20 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2023-02-20_final
2023-03-06 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-03-06_final
2023-03-28 10:35:12	ga_s2bm_ard_3-2-1_53JNJ_2023-03-28_final
2023-04-11 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2023-04-11_final
2023-05-31 10:16:38	ga_s2bm_ard_3-2-1_54HTH_2023-05-31_final
2023-06-29 10:46:26	ga_s2bm_ard_3-2-1_53HMD_2023-06-29_final
2023-07-01 11:23:40	ga_s2bm_ard_3-2-1_52KBA_2023-07-01_final
2023-07-02 10:51:16	ga_s2bm_ard_3-2-1_53LME_2023-07-02_final
2023-08-10 11:25:36	ga_s2bm_ard_3-2-1_51JVJ_2023-08-10_final
2023-09-15 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-09-15_final
2023-10-12 09:57:24	ga_s2bm_ard_3-2-1_54HYD_2023-10-12_final
2023-10-15 10:06:48	ga_s2bm_ard_3-2-1_54HVG_2023-10-15_final
2023-11-03 10:31:38	ga_s2bm_ard_3-2-1_53LRC_2023-11-03_nrt
2023-11-03 10:36:49	ga_s2bm_ard_3-2-1_53HPB_2023-11-03_final
2023-11-12 11:01:10	ga_s2bm_ard_3-2-1_53LLE_2023-11-12_final
2023-11-19 10:52:27	ga_s2bm_ard_3-2-1_53KKV_2023-11-19_final
2023-12-16 10:41:30	ga_s2bm_ard_3-2-1_53LRC_2023-12-16_nrt
2024-01-13 11:44:29	ga_s2bm_ard_3-2-1_51JTN_2024-01-13_final
2024-01-31 11:00:46	ga_s2bm_ard_3-2-1_53LMF_2024-01-31_final
2024-02-21 10:33:24	ga_s2bm_ard_3-2-1_53KPR_2024-02-21_final
2024-03-14 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2024-03-14_final

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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