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
2017-07-31 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2017-07-31_final.stac-item
2017-12-26 11:07:01	ga_s2bm_ard_3-2-1_52LGK_2017-12-26_final.stac-item
2018-01-03 10:32:23	ga_s2bm_ard_3-2-1_54JTT_2018-01-03_final.stac-item
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52HBK_2018-01-22_final.stac-item
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_53LQC_2018-01-26_final
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53JPN_2018-05-03_final.stac-item
2018-05-30 10:26:10	ga_s2bm_ard_3-2-1_53HQB_2018-05-30_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HPK_2018-06-10_final.stac-item
2018-06-20 09:56:14	ga_s2bm_ard_3-2-1_54HXD_2018-06-20_final.stac-item
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KUA_2018-06-23_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JMN_2018-07-16_final.stac-item
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_53KNA_2018-07-28_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JTG_2018-08-29_final.stac-item
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_53KMR_2018-11-05_final.stac-item
2018-11-06 10:23:52	ga_s2bm_ard_3-2-1_54JWT_2018-11-06_final.stac-item
2018-11-27 09:58:01	ga_s2bm_ard_3-2-1_54GYA_2018-11-27_final.stac-item
2019-01-06 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2019-01-06_final.stac-item
2019-02-04 10:26:47	ga_s2bm_ard_3-2-1_53HQB_2019-02-04_final.stac-item
2019-02-20 10:44:20	ga_s2bm_ard_3-2-1_53JNM_2019-02-20_final.stac-item
2019-04-17 09:28:50	ga_s2bm_ard_3-2-1_55GFN_2019-04-16_final.stac-item
2019-05-06 11:33:42	ga_s2bm_ard_3-2-1_51KUS_2019-05-06_final.stac-item
2019-05-22 10:11:21	ga_s2bm_ard_3-2-1_54LYJ_2019-05-22_final.stac-item
2019-05-30 09:38:16	ga_s2bm_ard_3-2-1_55GER_2019-05-30_final.stac-item
2019-08-11 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2019-08-11_final.stac-item
2019-09-22 10:26:59	ga_s2bm_ard_3-2-1_54HTF_2019-09-22_final.stac-item
2020-03-22 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2020-03-22_final.stac-item
2020-03-24 10:06:44	ga_s2bm_ard_3-2-1_55HBA_2020-03-24_final.stac-item
2020-04-17 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2020-04-17_final.stac-item
2020-04-26 10:16:16	ga_s2bm_ard_3-2-1_54HTJ_2020-04-26_final.stac-item
2020-07-26 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2020-07-26_final.stac-item
2020-08-07 10:26:04	ga_s2bm_ard_3-2-1_54HTK_2020-08-07_final.stac-item
2020-09-04 09:48:37	ga_s2bm_ard_3-2-1_55GCP_2020-09-04_final.stac-item
2020-10-23 10:12:58	ga_s2bm_ard_3-2-1_54KYB_2020-10-23_final.stac-item
2020-12-10 11:13:37	ga_s2bm_ard_3-2-1_52KBA_2020-12-10_final.stac-item
2021-01-15 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2021-01-15_final.stac-item
2021-01-22 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2021-01-22_final.stac-item
2021-02-13 10:24:43	ga_s2bm_ard_3-2-1_54JUQ_2021-02-13_final.stac-item
2021-02-26 10:36:27	ga_s2bm_ard_3-2-1_53HLD_2021-02-26_final.stac-item
2021-02-28 11:16:29	ga_s2bm_ard_3-2-1_51HWE_2021-02-28_final.stac-item
2021-03-23 11:22:07	ga_s2bm_ard_3-2-1_52KBG_2021-03-23_final.stac-item
2021-04-01 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2021-04-01_final.stac-item
2021-04-11 10:17:00	ga_s2bm_ard_3-2-1_54HTF_2021-04-11_final.stac-item
2021-04-21 10:12:59	ga_s2bm_ard_3-2-1_54KWB_2021-04-21_final.stac-item
2021-05-15 11:36:13	ga_s2bm_ard_3-2-1_51JUF_2021-05-15_final.stac-item
2021-05-18 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2021-05-18_final.stac-item
2021-06-22 10:50:42	ga_s2bm_ard_3-2-1_53LMG_2021-06-22_final.stac-item
2021-07-04 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2021-07-04_final.stac-item
2021-07-13 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2021-07-13_final.stac-item
2021-07-14 11:35:58	ga_s2bm_ard_3-2-1_51JVG_2021-07-14_final.stac-item
2021-10-28 10:15:51	ga_s2bm_ard_3-2-1_54HXK_2021-10-28_final.stac-item
2021-10-29 09:47:45	ga_s2bm_ard_3-2-1_54HYC_2021-10-29_final.stac-item
2021-11-11 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-11-11_final.stac-item
2021-11-15 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2021-11-15_final.stac-item
2021-12-12 11:04:01	ga_s2bm_ard_3-2-1_52KDU_2021-12-12_final.stac-item
2022-01-13 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2022-01-13_final.stac-item
2022-01-16 11:56:25	ga_s2bm_ard_3-2-1_50HNK_2022-01-16_final.stac-item
2022-01-21 11:03:48	ga_s2bm_ard_3-2-1_52KEV_2022-01-21_final.stac-item
2022-01-23 10:04:52	ga_s2bm_ard_3-2-1_54JXP_2022-01-23_final.stac-item
2022-01-28 10:55:55	ga_s2bm_ard_3-2-1_52JFL_2022-01-28_final.stac-item
2022-02-15 11:55:00	ga_s2bm_ard_3-2-1_50JNR_2022-02-15_final.stac-item
2022-04-20 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2022-04-20_final.stac-item
2022-04-21 11:00:40	ga_s2bm_ard_3-2-1_52LHM_2022-04-21_final.stac-item
2022-05-13 10:06:36	ga_s2bm_ard_3-2-1_54HYG_2022-05-13_final.stac-item
2022-05-16 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2022-05-16_final.stac-item
2022-05-19 10:25:17	ga_s2bm_ard_3-2-1_54JTN_2022-05-19_final.stac-item
2022-06-18 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2022-06-18_final.stac-item
2022-07-17 10:55:54	ga_s2bm_ard_3-2-1_52JEM_2022-07-17_final.stac-item
2022-07-28 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2022-07-28_final.stac-item
2022-09-25 10:54:17	ga_s2bm_ard_3-2-1_53JKN_2022-09-25_final.stac-item
2022-09-30 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2022-09-30_final.stac-item
2022-10-25 10:54:22	ga_s2bm_ard_3-2-1_53JLM_2022-10-25_final.stac-item
2022-11-15 10:26:01	ga_s2bm_ard_3-2-1_54HTK_2022-11-15_final.stac-item
2022-11-21 10:41:52	ga_s2bm_ard_3-2-1_53KPB_2022-11-21_final.stac-item
2023-02-13 10:21:35	ga_s2bm_ard_3-2-1_54KYG_2023-02-13_nrt.stac-item
2023-02-13 10:21:50	ga_s2bm_ard_3-2-1_54KYF_2023-02-13_final
2023-02-22 10:52:20	ga_s2bm_ard_3-2-1_53KNV_2023-02-22_final
2023-04-17 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2023-04-17_final
2023-05-01 10:16:54	ga_s2bm_ard_3-2-1_54HWF_2023-05-01_final
2023-06-01 11:24:26	ga_s2bm_ard_3-2-1_51JYN_2023-06-01_final
2023-07-03 10:21:49	ga_s2bm_ard_3-2-1_54KWG_2023-07-03_final
2023-07-18 09:38:46	ga_s2bm_ard_3-2-1_55GCP_2023-07-18_final
2023-08-07 11:15:23	ga_s2bm_ard_3-2-1_52JCP_2023-08-07_final
2023-09-02 11:34:34	ga_s2bm_ard_3-2-1_51JVN_2023-09-02_final
2023-09-24 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2023-09-24_final
2023-11-08 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2023-11-08_final
2023-11-09 10:52:52	ga_s2bm_ard_3-2-1_53KKU_2023-11-09_final
2023-11-09 10:53:42	ga_s2bm_ard_3-2-1_53KLQ_2023-11-09_final
2023-11-12 11:02:41	ga_s2bm_ard_3-2-1_53KKU_2023-11-12_final
2023-11-13 10:34:22	ga_s2bm_ard_3-2-1_53JPM_2023-11-13_final
2023-11-14 10:06:46	ga_s2bm_ard_3-2-1_55HBA_2023-11-14_final
2023-11-25 11:10:33	ga_s2bm_ard_3-2-1_52LHM_2023-11-25_final
2024-01-03 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-01-03_final
2024-01-22 10:32:24	ga_s2bm_ard_3-2-1_54KVD_2024-01-22_final
2024-01-25 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2024-01-25_final
2024-02-08 10:21:15	ga_s2bm_ard_3-2-1_54LWJ_2024-02-08_final
2024-02-27 10:54:16	ga_s2bm_ard_3-2-1_53JKN_2024-02-27_final
2024-03-03 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2024-03-03_final
2024-03-11 11:02:38	ga_s2bm_ard_3-2-1_52KHD_2024-03-11_final
2024-03-25 10:44:07	ga_s2bm_ard_3-2-1_53JNN_2024-03-25_final
2024-05-30 11:02:54	ga_s2bm_ard_3-2-1_53KKT_2024-05-30_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