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
2017-08-11 09:46:24	ga_s2bm_ard_3-2-1_54HYB_2017-08-11_final.stac-item
2017-11-28 10:06:53	ga_s2bm_ard_3-2-1_54LYJ_2017-11-28_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JDQ_2018-02-01_final.stac-item
2018-02-27 09:42:30	ga_s2bm_ard_3-2-1_54GYA_2018-02-27_final.stac-item
2018-02-27 09:42:30	ga_s2bm_ard_3-2-1_55GBR_2018-02-27_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KVU_2018-03-05_final.stac-item
2018-03-12 09:50:45	ga_s2bm_ard_3-2-1_54HXC_2018-03-12_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KVR_2018-03-22_final.stac-item
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_53JQM_2018-03-24_final.stac-item
2018-05-10 10:17:04	ga_s2bm_ard_3-2-1_54LVH_2018-05-10_final.stac-item
2018-05-11 11:26:19	ga_s2bm_ard_3-2-1_51KWV_2018-05-11_final.stac-item
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KVS_2018-05-24_final.stac-item
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KXT_2018-06-27_final.stac-item
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_52KGB_2018-07-08_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50JRT_2018-08-29_final.stac-item
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HPJ_2018-10-01_final.stac-item
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53JNN_2018-10-03_final.stac-item
2018-12-16 10:26:16	ga_s2bm_ard_3-2-1_53HPD_2018-12-16_final.stac-item
2019-01-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2019-01-08_final.stac-item
2019-01-20 11:11:01	ga_s2bm_ard_3-2-1_52LFL_2019-01-20_final.stac-item
2019-01-23 09:47:44	ga_s2bm_ard_3-2-1_54HYC_2019-01-23_final.stac-item
2019-03-26 10:23:02	ga_s2bm_ard_3-2-1_54KUB_2019-03-26_final.stac-item
2019-05-08 10:33:57	ga_s2bm_ard_3-2-1_53KQP_2019-05-08_final.stac-item
2019-05-30 11:14:00	ga_s2bm_ard_3-2-1_52KCV_2019-05-30_final.stac-item
2019-06-17 10:33:53	ga_s2bm_ard_3-2-1_54KTU_2019-06-17_final.stac-item
2019-08-31 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2019-08-31_final.stac-item
2019-09-10 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2019-09-10_final.stac-item
2019-11-03 11:00:45	ga_s2bm_ard_3-2-1_52LHM_2019-11-03_final.stac-item
2019-11-21 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2019-11-21_final.stac-item
2019-12-05 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2019-12-05_final.stac-item
2020-02-02 10:31:42	ga_s2bm_ard_3-2-1_54KTG_2020-02-02_final.stac-item
2020-02-02 10:34:15	ga_s2bm_ard_3-2-1_53JPM_2020-02-02_final.stac-item
2020-02-14 09:38:34	ga_s2bm_ard_3-2-1_55GEN_2020-02-14_final.stac-item
2020-02-23 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2020-02-23_final
2020-03-20 10:24:32	ga_s2bm_ard_3-2-1_54JTR_2020-03-20_final.stac-item
2020-03-31 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2020-03-31_final.stac-item
2020-04-12 10:31:45	ga_s2bm_ard_3-2-1_54KTG_2020-04-12_final.stac-item
2020-04-29 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2020-04-29_final.stac-item
2020-05-04 11:13:51	ga_s2bm_ard_3-2-1_52KBV_2020-05-04_final.stac-item
2020-05-09 10:24:32	ga_s2bm_ard_3-2-1_54JTR_2020-05-09_final.stac-item
2020-05-10 11:34:02	ga_s2bm_ard_3-2-1_51KWP_2020-05-10_final.stac-item
2020-08-01 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2020-08-01_final.stac-item
2020-08-22 11:15:51	ga_s2bm_ard_3-2-1_52JCM_2020-08-22_final.stac-item
2020-08-30 10:36:13	ga_s2bm_ard_3-2-1_53HME_2020-08-30_final.stac-item
2020-10-17 09:57:30	ga_s2bm_ard_3-2-1_54HXD_2020-10-17_final.stac-item
2020-11-03 09:48:11	ga_s2bm_ard_3-2-1_54GYA_2020-11-03_final.stac-item
2020-11-05 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-11-05_final.stac-item
2020-11-06 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-11-06_final.stac-item
2020-11-16 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2020-11-16_final.stac-item
2020-11-29 10:05:59	ga_s2bm_ard_3-2-1_54HWK_2020-11-29_final.stac-item
2020-12-29 10:02:52	ga_s2bm_ard_3-2-1_54KZB_2020-12-29_final.stac-item
2021-01-20 10:44:16	ga_s2bm_ard_3-2-1_53JPM_2021-01-20_final.stac-item
2021-01-24 10:19:52	ga_s2bm_ard_3-2-1_54LZP_2021-01-24_final.stac-item
2021-02-24 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2021-02-24_final.stac-item
2021-03-05 10:19:40	ga_s2bm_ard_3-2-1_54LYQ_2021-03-05_final.stac-item
2021-03-24 10:52:44	ga_s2bm_ard_3-2-1_53KNT_2021-03-24_final.stac-item
2021-04-07 10:30:05	ga_s2bm_ard_3-2-1_54LXN_2021-04-07_final.stac-item
2021-04-26 11:01:22	ga_s2bm_ard_3-2-1_53LKD_2021-04-26_final.stac-item
2021-05-17 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2021-05-17_final.stac-item
2021-07-13 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2021-07-13_final.stac-item
2021-07-15 11:03:00	ga_s2bm_ard_3-2-1_52KGC_2021-07-15_final.stac-item
2021-07-16 10:34:16	ga_s2bm_ard_3-2-1_54JTS_2021-07-16_final.stac-item
2021-09-01 10:20:18	ga_s2bm_ard_3-2-1_54LZM_2021-09-01_final.stac-item
2021-09-22 11:33:13	ga_s2bm_ard_3-2-1_51KVT_2021-09-22_final.stac-item
2021-10-16 11:15:39	ga_s2bm_ard_3-2-1_51JYH_2021-10-16_final.stac-item
2021-11-08 11:24:18	ga_s2bm_ard_3-2-1_52JBT_2021-11-08_final.stac-item
2021-11-24 10:05:41	ga_s2bm_ard_3-2-1_54JWL_2021-11-24_final.stac-item
2021-12-31 11:31:16	ga_s2bm_ard_3-2-1_51LZE_2021-12-31_final.stac-item
2022-01-07 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2022-01-07_final.stac-item
2022-01-22 10:34:24	ga_s2bm_ard_3-2-1_54JTR_2022-01-22_final.stac-item
2022-02-20 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2022-02-20_final.stac-item
2022-04-03 10:06:32	ga_s2bm_ard_3-2-1_54HWG_2022-04-03_final.stac-item
2022-04-26 10:13:23	ga_s2bm_ard_3-2-1_54KWV_2022-04-26_final.stac-item
2022-05-10 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2022-05-10_final.stac-item
2022-05-26 10:12:02	ga_s2bm_ard_3-2-1_54KXF_2022-05-26_final.stac-item
2022-05-27 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2022-05-27_final.stac-item
2022-06-20 09:28:49	ga_s2bm_ard_3-2-1_55GFN_2022-06-19_final.stac-item
2022-06-26 11:23:55	ga_s2bm_ard_3-2-1_51KZQ_2022-06-26_final.stac-item
2022-08-01 10:07:19	ga_s2bm_ard_3-2-1_54HYD_2022-08-01_final.stac-item
2022-08-11 10:07:40	ga_s2bm_ard_3-2-1_54HXC_2022-08-11_final.stac-item
2022-08-20 10:34:15	ga_s2bm_ard_3-2-1_53JNN_2022-08-20_final.stac-item
2022-12-06 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2022-12-06_final.stac-item
2022-12-14 10:53:55	ga_s2bm_ard_3-2-1_52KHU_2022-12-14_final.stac-item
2023-04-17 10:33:47	ga_s2bm_ard_3-2-1_53KRP_2023-04-17_final
2023-04-22 11:23:09	ga_s2bm_ard_3-2-1_51KZT_2023-04-22_final
2023-06-29 10:43:16	ga_s2bm_ard_3-2-1_53KMS_2023-06-29_final
2023-07-10 10:16:04	ga_s2bm_ard_3-2-1_54HVK_2023-07-10_final
2023-09-22 11:32:32	ga_s2bm_ard_3-2-1_51KWA_2023-09-22_final
2023-10-06 11:16:34	ga_s2bm_ard_3-2-1_52HBJ_2023-10-06_nrt
2023-10-24 10:34:05	ga_s2bm_ard_3-2-1_53JQN_2023-10-24_final
2023-10-26 09:38:41	ga_s2bm_ard_3-2-1_55GCP_2023-10-26_final
2023-10-28 11:57:14	ga_s2bm_ard_3-2-1_50HKH_2023-10-28_nrt
2023-12-01 11:33:20	ga_s2bm_ard_3-2-1_51KXS_2023-12-01_final
2023-12-23 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2023-12-23_final
2024-02-21 10:32:04	ga_s2bm_ard_3-2-1_54KTF_2024-02-21_final
2024-03-13 11:44:47	ga_s2bm_ard_3-2-1_50JRS_2024-03-13_final
2024-03-21 11:03:01	ga_s2bm_ard_3-2-1_53KKT_2024-03-21_final
2024-03-24 11:10:37	ga_s2bm_ard_3-2-1_52LHM_2024-03-24_final
2024-04-29 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2024-04-29_final
2024-05-03 09:38:06	ga_s2bm_ard_3-2-1_55GDR_2024-05-03_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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