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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JNL_2017-07-11_final.stac-item
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51HTE_2017-08-14_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JQL_2017-08-27_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KKU_2017-10-12_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JLN_2017-11-01_final.stac-item
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_49KGP_2017-11-14_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_50KKA_2017-12-11_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-12-24_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-20_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-02-09_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-04-23_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HMH_2018-06-03_final.stac-item
2018-06-16 11:51:10	ga_s2bm_ard_3-2-1_50KRC_2018-06-16_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JMP_2018-09-04_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JMT_2018-10-14_final.stac-item
2018-10-20 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2018-10-20_final.stac-item
2018-11-06 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2018-11-06_final.stac-item
2018-11-06 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2018-11-06_final.stac-item
2018-12-13 11:56:48	ga_s2bm_ard_3-2-1_50HLJ_2018-12-13_final.stac-item
2018-12-29 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2018-12-29_final.stac-item
2019-02-04 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2019-02-04_final.stac-item
2019-02-22 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2019-02-22_final.stac-item
2019-04-12 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2019-04-12_final.stac-item
2019-04-28 12:14:07	ga_s2bm_ard_3-2-1_50KKA_2019-04-28_final.stac-item
2019-05-08 12:14:02	ga_s2bm_ard_3-2-1_50KKA_2019-05-08_final.stac-item
2019-06-12 11:26:51	ga_s2bm_ard_3-2-1_51HVD_2019-06-12_final.stac-item
2019-06-24 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-06-24_final.stac-item
2019-09-16 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2019-09-16_final.stac-item
2019-10-02 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2019-10-02_final.stac-item
2019-10-12 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2019-10-12_final.stac-item
2019-10-19 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2019-10-19_final.stac-item
2019-11-24 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2019-11-24_final.stac-item
2019-11-25 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2019-11-25_final.stac-item
2019-12-11 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2019-12-11_final.stac-item
2020-01-17 11:53:18	ga_s2bm_ard_3-2-1_50KNC_2020-01-17_final.stac-item
2020-04-03 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2020-04-03_final.stac-item
2020-04-29 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2020-04-29_final.stac-item
2020-05-16 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2020-05-16_final.stac-item
2020-05-30 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-05-30_final.stac-item
2020-06-01 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-01_final.stac-item
2020-07-12 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2020-07-12_final.stac-item
2020-07-18 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-07-18_final.stac-item
2020-11-02 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2020-11-02_final.stac-item
2020-11-19 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2020-11-19_final.stac-item
2021-01-18 11:44:34	ga_s2bm_ard_3-2-1_50JQT_2021-01-18_final.stac-item
2021-01-22 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-01-22_final.stac-item
2021-01-31 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-01-31_final.stac-item
2021-02-17 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2021-02-17_final.stac-item
2021-02-26 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-02-26_final.stac-item
2021-04-14 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2021-04-14_final.stac-item
2021-04-25 11:36:21	ga_s2bm_ard_3-2-1_50JPL_2021-04-25_final.stac-item
2021-05-08 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2021-05-08_final.stac-item
2021-05-11 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2021-05-11_final
2021-05-18 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2021-05-18_final.stac-item
2021-07-03 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final.stac-item
2021-07-07 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2021-07-07_final.stac-item
2021-07-30 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2021-07-30_final.stac-item
2021-08-02 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2021-08-02_final.stac-item
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2021-08-12_final.stac-item
2021-09-04 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2021-09-04_final.stac-item
2021-09-05 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2021-09-05_final.stac-item
2021-09-15 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2021-09-15_final.stac-item
2021-10-18 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2021-10-18_final.stac-item
2021-11-11 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2021-11-11_final.stac-item
2021-12-20 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-12-20_final.stac-item
2022-01-23 11:46:25	ga_s2bm_ard_3-2-1_50HQK_2022-01-23_final.stac-item
2022-01-30 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2022-01-30_final.stac-item
2022-03-03 12:13:48	ga_s2bm_ard_3-2-1_49KHR_2022-03-03_final.stac-item
2022-03-14 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2022-03-14_final.stac-item
2022-04-06 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2022-04-06_final
2022-04-30 11:36:27	ga_s2bm_ard_3-2-1_50HQK_2022-04-30_final.stac-item
2022-07-22 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2022-07-22_final.stac-item
2022-07-26 11:26:37	ga_s2bm_ard_3-2-1_51HUE_2022-07-26_final.stac-item
2022-08-14 11:56:25	ga_s2bm_ard_3-2-1_50JML_2022-08-14_final.stac-item
2022-09-06 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2022-09-06_final.stac-item
2022-09-07 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2022-09-07_final.stac-item
2022-09-10 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2022-09-10_final.stac-item
2022-09-16 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2022-09-16_final.stac-item
2022-09-17 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2022-09-17_final.stac-item
2022-10-20 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-10-20_final.stac-item
2023-01-01 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-01-01_final.stac-item
2023-01-11 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2023-01-11_final.stac-item
2023-01-11 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-01-11_final.stac-item
2023-01-25 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2023-01-25_final.stac-item
2023-02-23 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2023-02-23_final
2023-02-27 11:46:17	ga_s2bm_ard_3-2-1_50JMM_2023-02-27_final
2023-03-26 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2023-03-26_final
2023-04-11 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-04-11_final
2023-04-14 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2023-04-14_final
2023-05-24 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-05-24_final
2023-07-03 12:03:32	ga_s2bm_ard_3-2-1_50KLC_2023-07-03_final
2023-07-30 11:53:30	ga_s2bm_ard_3-2-1_50KNC_2023-07-30_final
2023-08-22 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2023-08-22_final
2023-08-25 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-08-25_final
2023-09-11 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2023-09-11_final
2023-10-28 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2023-10-28_final
2023-11-17 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2023-11-17_final
2023-12-23 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-12-23_final
2024-03-26 11:52:38	ga_s2bm_ard_3-2-1_50KPF_2024-03-26_final
2024-03-26 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2024-03-26_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

All years