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
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KUT_2017-09-23_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KXS_2017-11-02_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51LUE_2017-11-05_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KVT_2017-11-25_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50KRD_2018-01-04_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KYU_2018-03-22_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLL_2018-04-07_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KUT_2018-05-31_final.stac-item
2018-06-17 11:19:48	ga_s2bm_ard_3-2-1_52KBA_2018-06-17_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2018-06-30_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNM_2018-07-03_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51KUT_2018-08-12_final.stac-item
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JXM_2018-10-25_final.stac-item
2018-11-17 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2018-11-17_final.stac-item
2018-12-21 11:16:18	ga_s2bm_ard_3-2-1_51HYE_2018-12-21_final.stac-item
2018-12-27 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2018-12-27_final.stac-item
2019-02-09 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2019-02-09_final.stac-item
2019-02-12 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2019-02-12_final.stac-item
2019-03-04 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2019-03-04_final.stac-item
2019-03-21 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2019-03-21_final.stac-item
2019-04-06 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2019-04-06_final.stac-item
2019-06-18 11:43:11	ga_s2bm_ard_3-2-1_51KTU_2019-06-18_final.stac-item
2019-06-29 11:13:49	ga_s2bm_ard_3-2-1_51KZR_2019-06-29_final.stac-item
2019-07-15 11:34:10	ga_s2bm_ard_3-2-1_51KWQ_2019-07-15_final.stac-item
2019-07-25 11:32:28	ga_s2bm_ard_3-2-1_51KVB_2019-07-25_final.stac-item
2019-08-23 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2019-08-23_final.stac-item
2019-10-03 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-10-03_final.stac-item
2019-10-23 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2019-10-23_final.stac-item
2019-10-23 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2019-10-23_final.stac-item
2019-10-26 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2019-10-26_final.stac-item
2019-11-12 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2019-11-12_final.stac-item
2019-12-02 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2019-12-02_final.stac-item
2019-12-09 11:23:51	ga_s2bm_ard_3-2-1_51KXQ_2019-12-09_final.stac-item
2020-01-07 11:53:30	ga_s2bm_ard_3-2-1_50KPB_2020-01-07_final.stac-item
2020-01-24 11:42:50	ga_s2bm_ard_3-2-1_51KVU_2020-01-24_final.stac-item
2020-02-03 11:42:53	ga_s2bm_ard_3-2-1_51KUU_2020-02-03_final.stac-item
2020-02-07 11:23:01	ga_s2bm_ard_3-2-1_51KZT_2020-02-07_final.stac-item
2020-02-23 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2020-02-23_final.stac-item
2020-03-28 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2020-03-28_final.stac-item
2020-04-20 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2020-04-20_final.stac-item
2020-06-01 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-06-01_final.stac-item
2020-08-01 11:43:21	ga_s2bm_ard_3-2-1_51KTT_2020-08-01_final.stac-item
2020-08-07 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-08-07_final.stac-item
2020-08-15 11:22:59	ga_s2bm_ard_3-2-1_51KZU_2020-08-15_final.stac-item
2020-08-18 11:33:06	ga_s2bm_ard_3-2-1_51KYT_2020-08-18_final.stac-item
2020-10-04 11:24:15	ga_s2bm_ard_3-2-1_51KXP_2020-10-04_final.stac-item
2020-10-13 11:53:25	ga_s2bm_ard_3-2-1_50KPC_2020-10-13_final.stac-item
2020-10-20 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2020-10-20_final.stac-item
2020-10-26 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-10-26_final.stac-item
2020-11-06 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-11-06_final.stac-item
2021-01-05 11:31:19	ga_s2bm_ard_3-2-1_51LZE_2021-01-05_final.stac-item
2021-01-09 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-01-09_final.stac-item
2021-03-23 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2021-03-23_final.stac-item
2021-04-11 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-04-11_final.stac-item
2021-05-05 11:33:06	ga_s2bm_ard_3-2-1_51KVT_2021-05-05_final.stac-item
2021-05-15 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-05-15_final.stac-item
2021-05-22 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2021-05-22_final.stac-item
2021-05-28 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2021-05-28_final.stac-item
2021-06-01 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2021-06-01_final.stac-item
2021-06-11 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-06-11_final.stac-item
2021-07-11 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2021-07-11_final.stac-item
2021-08-19 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-08-19_final
2021-08-30 11:23:40	ga_s2bm_ard_3-2-1_51KXR_2021-08-30_final.stac-item
2021-09-09 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2021-09-09_final.stac-item
2021-10-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-10-05_final.stac-item
2022-01-27 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2022-01-27_final.stac-item
2022-02-12 11:42:07	ga_s2bm_ard_3-2-1_51KVB_2022-02-12_final.stac-item
2022-03-08 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2022-03-08_final.stac-item
2022-04-09 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2022-04-09_final.stac-item
2022-05-03 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-05-03_final.stac-item
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2022-08-17_final.stac-item
2022-08-18 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2022-08-18_final.stac-item
2022-09-30 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2022-09-30_final.stac-item
2022-10-07 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2022-10-07_final.stac-item
2022-11-03 11:22:53	ga_s2bm_ard_3-2-1_51KYU_2022-11-03_final.stac-item
2022-11-29 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2022-11-29_final.stac-item
2023-01-12 11:23:58	ga_s2bm_ard_3-2-1_51KWQ_2023-01-12_final.stac-item
2023-02-21 11:23:49	ga_s2bm_ard_3-2-1_51KZQ_2023-02-21_final
2023-03-16 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2023-03-16_final
2023-04-01 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2023-04-01_final
2023-04-02 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2023-04-02_final
2023-04-29 11:14:11	ga_s2bm_ard_3-2-1_51KZP_2023-04-29_final
2023-05-05 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2023-05-05_final
2023-05-08 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-05-08_final
2023-05-22 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-05-22_final
2023-05-29 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2023-05-29_final
2023-06-27 11:41:02	ga_s2bm_ard_3-2-1_51LWG_2023-06-27_final
2023-07-03 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-07-03_final
2023-07-24 11:34:06	ga_s2bm_ard_3-2-1_51KVQ_2023-07-24_final
2023-07-27 11:46:40	ga_s2bm_ard_3-2-1_50HPK_2023-07-27_final
2023-08-10 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2023-08-10_final
2023-08-30 11:24:06	ga_s2bm_ard_3-2-1_51KWQ_2023-08-30_final
2023-09-02 11:34:01	ga_s2bm_ard_3-2-1_51KWQ_2023-09-02_final
2023-10-29 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2023-10-29_final
2023-11-01 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2023-11-01_final
2023-12-15 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2023-12-15_final
2024-01-27 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2024-01-27_final
2024-02-16 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2024-02-16_final
2024-02-22 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2024-02-22_final
2024-04-16 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2024-04-16_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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