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
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53JQM_2017-07-07_final.stac-item
2017-10-13 11:36:25	ga_s2bm_ard_3-2-1_51HTC_2017-10-13_final.stac-item
2017-10-23 09:54:03	ga_s2bm_ard_3-2-1_55HCB_2017-10-23_final.stac-item
2017-11-05 10:03:42	ga_s2bm_ard_3-2-1_54HXJ_2017-11-05_final.stac-item
2017-11-09 09:42:14	ga_s2bm_ard_3-2-1_55HDA_2017-11-09_final.stac-item
2017-12-25 09:56:56	ga_s2bm_ard_3-2-1_54HXE_2017-12-25_final.stac-item
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54HWF_2018-01-24_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JKR_2018-01-30_final.stac-item
2018-03-08 10:16:06	ga_s2bm_ard_3-2-1_54HUH_2018-03-08_final.stac-item
2018-03-09 09:40:59	ga_s2bm_ard_3-2-1_55HDA_2018-03-09_final.stac-item
2018-03-19 09:41:02	ga_s2bm_ard_3-2-1_55HEE_2018-03-19_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50KKU_2018-03-21_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JML_2018-03-28_final.stac-item
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_53LPC_2018-04-06_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51JVF_2018-04-08_final.stac-item
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_53HND_2018-04-13_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_54KTC_2018-05-03_final.stac-item
2018-06-16 10:07:03	ga_s2bm_ard_3-2-1_54JWS_2018-06-16_final.stac-item
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53JMK_2018-07-05_final.stac-item
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_53KLA_2018-07-08_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZU_2018-07-17_final.stac-item
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KWU_2018-08-19_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50KLC_2018-08-28_final.stac-item
2018-09-11 10:01:54	ga_s2bm_ard_3-2-1_54HXJ_2018-09-11_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KXU_2018-10-28_final.stac-item
2018-12-06 10:24:07	ga_s2bm_ard_3-2-1_54JVS_2018-12-06_final.stac-item
2018-12-07 11:35:10	ga_s2bm_ard_3-2-1_51JUK_2018-12-07_final.stac-item
2018-12-09 10:32:56	ga_s2bm_ard_3-2-1_54KTB_2018-12-09_final.stac-item
2018-12-13 11:54:45	ga_s2bm_ard_3-2-1_50JNS_2018-12-13_final.stac-item
2018-12-27 09:54:45	ga_s2bm_ard_3-2-1_55JDJ_2018-12-27_final.stac-item
2019-01-19 10:04:07	ga_s2bm_ard_3-2-1_54JZS_2019-01-19_final.stac-item
2019-02-01 11:54:05	ga_s2bm_ard_3-2-1_50KPV_2019-02-01_final.stac-item
2019-02-01 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2019-02-01_final.stac-item
2019-02-14 10:25:49	ga_s2bm_ard_3-2-1_53JQF_2019-02-14_final.stac-item
2019-02-25 09:56:51	ga_s2bm_ard_3-2-1_55HBA_2019-02-25_final.stac-item
2019-03-01 11:13:35	ga_s2bm_ard_3-2-1_52KCA_2019-03-01_final.stac-item
2019-03-02 10:45:53	ga_s2bm_ard_3-2-1_53JLF_2019-03-02_final.stac-item
2019-03-04 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2019-03-04_final.stac-item
2019-03-19 10:34:17	ga_s2bm_ard_3-2-1_53JQM_2019-03-19_final.stac-item
2019-03-28 11:05:17	ga_s2bm_ard_3-2-1_52JEP_2019-03-28_final.stac-item
2019-05-11 10:45:02	ga_s2bm_ard_3-2-1_53JMK_2019-05-11_final.stac-item
2019-06-05 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-06-05_final.stac-item
2019-07-18 11:43:27	ga_s2bm_ard_3-2-1_50KRC_2019-07-18_final.stac-item
2019-08-01 11:22:59	ga_s2bm_ard_3-2-1_52KBD_2019-08-01_final.stac-item
2019-08-20 11:53:27	ga_s2bm_ard_3-2-1_50KPC_2019-08-20_final.stac-item
2019-09-13 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2019-09-13_final.stac-item
2019-09-23 11:35:15	ga_s2bm_ard_3-2-1_51JUK_2019-09-23_final.stac-item
2019-11-25 10:03:49	ga_s2bm_ard_3-2-1_55JBN_2019-11-25_final.stac-item
2019-12-09 11:25:36	ga_s2bm_ard_3-2-1_51JWH_2019-12-09_final.stac-item
2020-01-21 11:32:48	ga_s2bm_ard_3-2-1_51KXU_2020-01-21_final.stac-item
2020-01-28 11:25:20	ga_s2bm_ard_3-2-1_51JWJ_2020-01-28_final.stac-item
2020-02-24 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2020-02-24_final.stac-item
2020-03-14 10:06:55	ga_s2bm_ard_3-2-1_54HWF_2020-03-14_final.stac-item
2020-04-21 11:02:10	ga_s2bm_ard_3-2-1_52KGF_2020-04-21_final.stac-item
2020-05-16 10:16:45	ga_s2bm_ard_3-2-1_54HUG_2020-05-16_final.stac-item
2020-05-30 09:55:22	ga_s2bm_ard_3-2-1_55JCG_2020-05-30_final.stac-item
2020-06-07 10:54:28	ga_s2bm_ard_3-2-1_52JHS_2020-06-07_final.stac-item
2020-07-01 10:33:04	ga_s2bm_ard_3-2-1_54KTB_2020-07-01_final.stac-item
2020-07-07 10:52:25	ga_s2bm_ard_3-2-1_53KMV_2020-07-07_final.stac-item
2020-07-16 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2020-07-16_final.stac-item
2020-08-27 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2020-08-27_final.stac-item
2020-08-28 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-08-28_final.stac-item
2020-08-29 11:04:36	ga_s2bm_ard_3-2-1_52JES_2020-08-29_final.stac-item
2020-09-11 09:37:02	ga_s2bm_ard_3-2-1_55HFV_2020-09-11_final.stac-item
2020-10-14 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2020-10-14_final.stac-item
2020-11-01 10:44:56	ga_s2bm_ard_3-2-1_53JMK_2020-11-01_final.stac-item
2020-11-15 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2020-11-15_final.stac-item
2020-12-02 11:56:21	ga_s2bm_ard_3-2-1_50JML_2020-12-02_final.stac-item
2020-12-03 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2020-12-03_final.stac-item
2021-01-22 09:45:47	ga_s2bm_ard_3-2-1_55HEE_2021-01-22_final.stac-item
2021-03-19 11:45:31	ga_s2bm_ard_3-2-1_50JQP_2021-03-19_final.stac-item
2021-04-01 11:53:34	ga_s2bm_ard_3-2-1_50KPB_2021-04-01_final.stac-item
2021-04-05 11:35:10	ga_s2bm_ard_3-2-1_51JVK_2021-04-05_final.stac-item
2021-04-12 09:45:40	ga_s2bm_ard_3-2-1_55HFE_2021-04-12_final.stac-item
2021-04-24 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-04-24_final.stac-item
2021-04-28 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2021-04-28_final.stac-item
2021-05-05 09:54:02	ga_s2bm_ard_3-2-1_55JDM_2021-05-05_final.stac-item
2021-05-30 10:43:23	ga_s2bm_ard_3-2-1_53KNR_2021-05-30_final.stac-item
2021-07-14 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2021-07-14_final.stac-item
2021-07-25 11:02:17	ga_s2bm_ard_3-2-1_52KGF_2021-07-25_final.stac-item
2021-08-06 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-08-06_final
2021-08-17 09:33:57	ga_s2bm_ard_3-2-1_56JLS_2021-08-17_final.stac-item
2021-08-30 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2021-08-30_final.stac-item
2021-09-18 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2021-09-18_final
2021-10-02 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-10-02_final.stac-item
2021-11-16 10:44:52	ga_s2bm_ard_3-2-1_53JMK_2021-11-16_final.stac-item
2021-11-21 09:57:04	ga_s2bm_ard_3-2-1_55HBV_2021-11-21_final.stac-item
2021-12-21 11:35:10	ga_s2bm_ard_3-2-1_51JUK_2021-12-21_final.stac-item
2022-01-11 11:01:56	ga_s2bm_ard_3-2-1_52KGG_2022-01-11_final.stac-item
2022-03-22 11:04:27	ga_s2bm_ard_3-2-1_52JFS_2022-03-22_final.stac-item
2022-06-14 10:43:41	ga_s2bm_ard_3-2-1_53KNQ_2022-06-14_final.stac-item
2022-07-07 10:51:59	ga_s2bm_ard_3-2-1_53KMB_2022-07-07_final.stac-item
2022-09-16 12:03:39	ga_s2bm_ard_3-2-1_50KMB_2022-09-16_final.stac-item
2022-09-21 11:13:38	ga_s2bm_ard_3-2-1_52KCA_2022-09-21_final.stac-item
2022-09-21 11:15:52	ga_s2bm_ard_3-2-1_52JBM_2022-09-21_final.stac-item
2022-09-28 11:05:05	ga_s2bm_ard_3-2-1_52JDQ_2022-09-28_final.stac-item
2022-09-28 11:06:06	ga_s2bm_ard_3-2-1_52JCL_2022-09-28_final.stac-item
2022-10-24 11:22:07	ga_s2bm_ard_3-2-1_52KBG_2022-10-24_final.stac-item
2023-01-26 11:04:45	ga_s2bm_ard_3-2-1_52JER_2023-01-26_final.stac-item
2023-08-19 11:50:53	ga_s2bm_ard_3-2-1_51LTH_2023-08-19_nrt

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

All years