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
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUU_2017-11-15_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVV_2017-12-05_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KVQ_2017-12-22_final.stac-item
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51JXJ_2018-01-08_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KGQ_2018-01-23_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KTU_2018-01-24_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JMN_2018-04-27_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KVA_2018-06-03_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWV_2018-06-10_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50JLT_2018-07-09_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HLH_2018-08-05_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JQL_2018-10-31_final.stac-item
2018-12-03 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2018-12-03_final.stac-item
2018-12-27 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2018-12-27_final.stac-item
2019-02-01 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2019-02-01_final.stac-item
2019-03-30 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2019-03-30_final.stac-item
2019-04-06 11:32:29	ga_s2bm_ard_3-2-1_51KXA_2019-04-06_final.stac-item
2019-04-26 11:34:36	ga_s2bm_ard_3-2-1_51JVN_2019-04-26_final.stac-item
2019-06-24 12:03:35	ga_s2bm_ard_3-2-1_50KLC_2019-06-24_final.stac-item
2019-06-24 12:04:07	ga_s2bm_ard_3-2-1_50KKA_2019-06-24_final.stac-item
2019-08-13 12:05:47	ga_s2bm_ard_3-2-1_50JKP_2019-08-13_final.stac-item
2019-09-22 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-09-22_final.stac-item
2019-10-12 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2019-10-12_final.stac-item
2019-10-22 12:03:42	ga_s2bm_ard_3-2-1_50KLB_2019-10-22_final.stac-item
2019-11-05 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2019-11-05_final.stac-item
2019-11-08 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-11-08_final.stac-item
2019-11-15 11:44:00	ga_s2bm_ard_3-2-1_51KTQ_2019-11-15_final.stac-item
2019-11-18 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2019-11-18_final.stac-item
2020-01-14 11:42:04	ga_s2bm_ard_3-2-1_51KWB_2020-01-14_final.stac-item
2020-02-23 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2020-02-23_final.stac-item
2020-02-23 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-02-23_final.stac-item
2020-04-14 11:14:25	ga_s2bm_ard_3-2-1_51JYN_2020-04-14_final.stac-item
2020-06-12 11:44:51	ga_s2bm_ard_3-2-1_50JQS_2020-06-12_final.stac-item
2020-06-16 11:26:03	ga_s2bm_ard_3-2-1_51JVG_2020-06-16_final.stac-item
2020-07-12 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2020-07-12_final.stac-item
2020-08-04 11:55:45	ga_s2bm_ard_3-2-1_50JLP_2020-08-04_final.stac-item
2020-08-08 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-08-08_final.stac-item
2020-09-09 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2020-09-09_final.stac-item
2020-10-10 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-10_final.stac-item
2020-10-20 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-20_final.stac-item
2020-11-16 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2020-11-16_final.stac-item
2020-12-25 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2020-12-25_final.stac-item
2021-01-05 11:35:58	ga_s2bm_ard_3-2-1_51JUG_2021-01-05_final.stac-item
2021-01-14 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2021-01-14_final.stac-item
2021-01-29 11:16:44	ga_s2bm_ard_3-2-1_51HWD_2021-01-29_final.stac-item
2021-04-02 11:24:10	ga_s2bm_ard_3-2-1_51KXP_2021-04-02_final.stac-item
2021-04-18 11:44:30	ga_s2bm_ard_3-2-1_50JQT_2021-04-18_final.stac-item
2021-05-21 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2021-05-21_final.stac-item
2021-06-17 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2021-06-17_final.stac-item
2021-07-14 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2021-07-14_final.stac-item
2021-08-30 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2021-08-30_final.stac-item
2021-09-02 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2021-09-02_final.stac-item
2021-09-18 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2021-09-18_final.stac-item
2021-11-01 11:36:29	ga_s2bm_ard_3-2-1_51HUE_2021-11-01_final.stac-item
2021-12-01 11:34:11	ga_s2bm_ard_3-2-1_51JXN_2021-12-01_final.stac-item
2022-01-27 11:25:51	ga_s2bm_ard_3-2-1_51JWG_2022-01-27_final.stac-item
2022-02-12 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2022-02-12_final.stac-item
2022-03-03 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-03-03_final.stac-item
2022-03-27 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2022-03-27_final.stac-item
2022-04-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-04-19_final.stac-item
2022-06-12 11:45:02	ga_s2bm_ard_3-2-1_51JTL_2022-06-12_final.stac-item
2022-06-15 11:54:02	ga_s2bm_ard_3-2-1_50KQV_2022-06-15_final.stac-item
2022-06-25 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2022-06-25_final.stac-item
2022-07-15 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2022-07-15_final.stac-item
2022-08-07 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2022-08-07_final.stac-item
2022-10-13 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2022-10-13_final.stac-item
2022-10-27 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2022-10-27_final.stac-item
2022-11-22 11:56:11	ga_s2bm_ard_3-2-1_50JLM_2022-11-22_final.stac-item
2022-11-23 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2022-11-23_final.stac-item
2023-01-05 11:37:24	ga_s2bm_ard_3-2-1_50HNG_2023-01-05_final
2023-01-12 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2023-01-12_final.stac-item
2023-02-14 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2023-02-14_final
2023-02-27 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2023-02-27_final
2023-02-27 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2023-02-27_final
2023-03-13 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2023-03-13_final
2023-04-22 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-04-22_final
2023-05-02 11:26:57	ga_s2bm_ard_3-2-1_51HWC_2023-05-02_final
2023-05-08 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-05-08_final
2023-05-18 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-05-18_final
2023-06-13 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2023-06-13_final
2023-07-16 12:13:59	ga_s2bm_ard_3-2-1_50KKA_2023-07-16_final
2023-08-13 11:36:05	ga_s2bm_ard_3-2-1_51JUG_2023-08-13_final
2023-08-23 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2023-08-23_final
2023-09-29 11:24:39	ga_s2bm_ard_3-2-1_51JYM_2023-09-29_final
2023-10-02 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-10-02_final
2023-11-14 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2023-11-14_final
2023-11-21 11:32:43	ga_s2bm_ard_3-2-1_51KVV_2023-11-21_final
2023-11-21 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2023-11-21_final
2023-12-24 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2023-12-24_final
2023-12-27 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2023-12-27_final
2023-12-30 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2023-12-30_final
2024-01-06 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2024-01-06_final
2024-01-10 11:34:41	ga_s2bm_ard_3-2-1_51JVM_2024-01-10_final
2024-01-10 11:35:17	ga_s2bm_ard_3-2-1_51JWJ_2024-01-10_final
2024-02-15 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2024-02-15_final
2024-02-19 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2024-02-19_final
2024-03-16 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2024-03-16_final
2024-03-19 12:04:32	ga_s2bm_ard_3-2-1_50KKU_2024-03-19_final
2024-04-06 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2024-04-06_final
2024-04-19 11:32:30	ga_s2bm_ard_3-2-1_51KWA_2024-04-19_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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