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 11:46:01	ga_s2bm_ard_3-2-1_50HMJ_2017-11-15_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51JYK_2017-12-09_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JWL_2017-12-19_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JZN_2017-12-19_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMH_2018-01-04_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KUP_2018-01-11_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKN_2018-02-16_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMH_2018-03-15_final.stac-item
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51JXN_2018-04-01_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUV_2018-04-14_final.stac-item
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KVA_2018-05-21_final.stac-item
2018-08-21 12:13:14	ga_s2bm_ard_3-2-1_50KKA_2018-08-21_final.stac-item
2018-12-27 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2018-12-27_final.stac-item
2019-01-09 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2019-01-09_final.stac-item
2019-01-23 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2019-01-23_final.stac-item
2019-02-28 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2019-02-28_final.stac-item
2019-06-12 11:27:09	ga_s2bm_ard_3-2-1_51HUC_2019-06-12_final.stac-item
2019-08-17 11:43:35	ga_s2bm_ard_3-2-1_51KUS_2019-08-17_final.stac-item
2019-08-24 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2019-08-24_final.stac-item
2019-08-27 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2019-08-27_final.stac-item
2019-11-12 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2019-11-12_final.stac-item
2019-12-02 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2019-12-02_final.stac-item
2019-12-12 11:34:08	ga_s2bm_ard_3-2-1_51KVP_2019-12-12_final.stac-item
2020-01-07 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-01-07_final.stac-item
2020-01-24 11:42:56	ga_s2bm_ard_3-2-1_51KTU_2020-01-24_final.stac-item
2020-02-09 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2020-02-09_final.stac-item
2020-03-20 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-03-20_final.stac-item
2020-04-13 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2020-04-13_final.stac-item
2020-04-23 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-04-23_final.stac-item
2020-05-23 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2020-05-23_final.stac-item
2020-06-15 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-06-15_final.stac-item
2020-06-29 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-29_final.stac-item
2020-07-16 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2020-07-16_final.stac-item
2020-10-20 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2020-10-20_final.stac-item
2020-11-06 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2020-11-06_final.stac-item
2020-11-06 11:34:34	ga_s2bm_ard_3-2-1_51JUN_2020-11-06_final.stac-item
2020-11-19 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2020-11-19_final.stac-item
2020-11-30 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2020-11-30_final.stac-item
2020-12-12 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2020-12-12_final.stac-item
2020-12-12 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2020-12-12_final.stac-item
2020-12-18 12:13:47	ga_s2bm_ard_3-2-1_49KHR_2020-12-18_final.stac-item
2020-12-18 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-12-18_final.stac-item
2020-12-28 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-12-28_final.stac-item
2021-01-11 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-01-11_final.stac-item
2021-01-15 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-01-15_final.stac-item
2021-01-25 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-01-25_final.stac-item
2021-02-14 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2021-02-14_final.stac-item
2021-02-20 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2021-02-20_final.stac-item
2021-03-16 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2021-03-16_final.stac-item
2021-05-02 11:25:00	ga_s2bm_ard_3-2-1_51JVL_2021-05-02_final.stac-item
2021-06-07 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2021-06-07_final
2021-06-13 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-06-13_final.stac-item
2021-06-14 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-06-14_final.stac-item
2021-07-01 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-07-01_final.stac-item
2021-08-09 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-08-09_final.stac-item
2021-08-19 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-08-19_final.stac-item
2021-09-08 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-09-08_final.stac-item
2021-09-15 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2021-09-15_final.stac-item
2021-10-15 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2021-10-15_final.stac-item
2021-10-15 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2021-10-15_final.stac-item
2021-11-07 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2021-11-07_final.stac-item
2021-11-14 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2021-11-14_final.stac-item
2021-12-04 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2021-12-04_final.stac-item
2021-12-05 11:15:05	ga_s2bm_ard_3-2-1_51JYK_2021-12-05_final.stac-item
2021-12-07 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2021-12-07_final
2021-12-13 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-13_final.stac-item
2021-12-18 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2021-12-18_final.stac-item
2021-12-20 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2021-12-20_final.stac-item
2022-01-13 11:42:09	ga_s2bm_ard_3-2-1_51KVB_2022-01-13_final.stac-item
2022-02-02 11:44:10	ga_s2bm_ard_3-2-1_50KRU_2022-02-02_final.stac-item
2022-02-12 11:43:26	ga_s2bm_ard_3-2-1_51KTS_2022-02-12_final.stac-item
2022-02-22 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-02-22_final.stac-item
2022-02-22 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2022-02-22_final.stac-item
2022-03-24 11:43:12	ga_s2bm_ard_3-2-1_51KUT_2022-03-24_final.stac-item
2022-04-16 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-04-16_final.stac-item
2022-06-06 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2022-06-06_final.stac-item
2022-07-09 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-09_final.stac-item
2022-07-12 11:43:22	ga_s2bm_ard_3-2-1_51KTT_2022-07-12_final.stac-item
2022-07-12 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2022-07-12_final.stac-item
2022-10-17 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-10-17_final.stac-item
2022-11-13 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2022-11-13_final.stac-item
2022-11-30 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2022-11-30_final.stac-item
2022-12-23 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2022-12-23_final.stac-item
2023-01-05 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2023-01-05_final.stac-item
2023-01-31 11:56:13	ga_s2bm_ard_3-2-1_50JMM_2023-01-31_final.stac-item
2023-03-29 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-03-29_final
2023-08-06 11:42:18	ga_s2bm_ard_3-2-1_51KVB_2023-08-06_final
2023-09-15 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2023-09-15_final
2023-10-02 11:34:17	ga_s2bm_ard_3-2-1_51JXN_2023-10-02_final
2023-10-15 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2023-10-15_final
2023-12-08 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2023-12-08_final
2023-12-17 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2023-12-17_final
2023-12-18 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2023-12-18_final
2023-12-31 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2023-12-31_final
2024-01-13 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2024-01-13_final
2024-02-25 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2024-02-25_final
2024-02-29 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2024-02-29_final
2024-03-03 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2024-03-03_final
2024-03-23 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2024-03-23_final
2024-05-12 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2024-05-12_interim

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