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
2017-06-30 10:43:28	ga_s2bm_ard_3-2-1_53JPL_2017-06-30_final.stac-item
2017-08-17 10:06:38	ga_s2bm_ard_3-2-1_54HWG_2017-08-17_final.stac-item
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_51HYD_2017-08-25_final.stac-item
2017-09-09 10:15:46	ga_s2bm_ard_3-2-1_54HVF_2017-09-09_final.stac-item
2017-10-07 11:06:57	ga_s2bm_ard_3-2-1_52LGH_2017-10-07_final.stac-item
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53HLD_2017-11-14_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVR_2017-12-05_final.stac-item
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_51JYN_2017-12-26_final.stac-item
2018-01-08 09:42:19	ga_s2bm_ard_3-2-1_54GYA_2018-01-08_final.stac-item
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_53HQB_2018-03-31_final.stac-item
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53JQM_2018-04-03_final.stac-item
2018-04-27 10:07:03	ga_s2bm_ard_3-2-1_53HQB_2018-04-27_final.stac-item
2018-05-03 10:27:07	ga_s2bm_ard_3-2-1_53JQN_2018-05-03_final.stac-item
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_53JLJ_2018-06-08_final.stac-item
2018-07-02 10:31:05	ga_s2bm_ard_3-2-1_53JNN_2018-07-02_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KVT_2018-07-10_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JKN_2018-08-28_final.stac-item
2018-09-17 10:22:40	ga_s2bm_ard_3-2-1_53HQC_2018-09-17_final.stac-item
2019-01-06 09:58:04	ga_s2bm_ard_3-2-1_54GYA_2019-01-06_final.stac-item
2019-01-10 11:11:07	ga_s2bm_ard_3-2-1_52LFL_2019-01-10_final.stac-item
2019-02-20 10:41:34	ga_s2bm_ard_3-2-1_53LQC_2019-02-20_final
2019-06-27 10:34:26	ga_s2bm_ard_3-2-1_53JQM_2019-06-27_final.stac-item
2019-07-14 10:26:53	ga_s2bm_ard_3-2-1_54HTG_2019-07-14_final.stac-item
2019-08-26 12:15:24	ga_s2bm_ard_3-2-1_49JGK_2019-08-26_final.stac-item
2019-10-25 10:34:19	ga_s2bm_ard_3-2-1_53JQM_2019-10-25_final.stac-item
2019-12-01 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2019-12-01_final.stac-item
2019-12-24 10:34:31	ga_s2bm_ard_3-2-1_53JPL_2019-12-24_final.stac-item
2020-01-11 11:34:41	ga_s2bm_ard_3-2-1_51JUM_2020-01-11_final.stac-item
2020-01-29 10:50:21	ga_s2bm_ard_3-2-1_53LPG_2020-01-29_final.stac-item
2020-04-02 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2020-04-02_final.stac-item
2020-04-25 10:45:55	ga_s2bm_ard_3-2-1_52JGL_2020-04-25_final.stac-item
2020-06-22 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2020-06-22_final.stac-item
2020-07-03 11:13:19	ga_s2bm_ard_3-2-1_52KEB_2020-07-03_final.stac-item
2020-07-22 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2020-07-22_final.stac-item
2020-08-12 11:15:25	ga_s2bm_ard_3-2-1_52JBP_2020-08-12_final.stac-item
2020-08-18 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2020-08-18_final.stac-item
2020-08-21 11:45:10	ga_s2bm_ard_3-2-1_50JPR_2020-08-21_final.stac-item
2020-09-18 11:00:50	ga_s2bm_ard_3-2-1_52LGM_2020-09-18_final.stac-item
2020-10-05 10:53:49	ga_s2bm_ard_3-2-1_52KGV_2020-10-05_final.stac-item
2020-10-06 10:26:05	ga_s2bm_ard_3-2-1_54HTK_2020-10-06_final.stac-item
2020-10-29 10:34:07	ga_s2bm_ard_3-2-1_53JQN_2020-10-29_final.stac-item
2020-12-06 09:57:44	ga_s2bm_ard_3-2-1_54HWC_2020-12-06_final.stac-item
2020-12-09 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2020-12-09_final.stac-item
2020-12-22 10:17:22	ga_s2bm_ard_3-2-1_54HVD_2020-12-22_final.stac-item
2020-12-24 10:53:40	ga_s2bm_ard_3-2-1_52KHV_2020-12-24_final.stac-item
2021-01-16 11:06:24	ga_s2bm_ard_3-2-1_52HBK_2021-01-16_final.stac-item
2021-01-17 10:33:52	ga_s2bm_ard_3-2-1_53KPP_2021-01-17_final.stac-item
2021-03-10 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2021-03-10_final.stac-item
2021-03-21 10:42:53	ga_s2bm_ard_3-2-1_53KQT_2021-03-21_final.stac-item
2021-06-01 11:21:33	ga_s2bm_ard_3-2-1_52LDJ_2021-06-01_final.stac-item
2021-09-13 11:06:20	ga_s2bm_ard_3-2-1_52HBK_2021-09-13_final.stac-item
2021-10-05 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2021-10-05_final.stac-item
2021-10-29 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2021-10-29_final.stac-item
2021-11-10 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-11-10_final.stac-item
2021-11-20 10:26:38	ga_s2bm_ard_3-2-1_53HNC_2021-11-20_final.stac-item
2021-11-28 11:23:24	ga_s2bm_ard_3-2-1_51KXS_2021-11-28_final.stac-item
2021-12-30 10:26:42	ga_s2bm_ard_3-2-1_53HQB_2021-12-30_final.stac-item
2022-01-22 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2022-01-22_final.stac-item
2022-02-10 11:02:12	ga_s2bm_ard_3-2-1_53KKA_2022-02-10_final.stac-item
2022-03-18 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2022-03-18_final.stac-item
2022-04-17 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2022-04-17_final.stac-item
2022-05-02 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2022-05-02_final.stac-item
2022-05-05 10:44:02	ga_s2bm_ard_3-2-1_53JNN_2022-05-05_final.stac-item
2022-05-12 10:33:58	ga_s2bm_ard_3-2-1_53JRN_2022-05-12_final.stac-item
2022-05-29 12:03:52	ga_s2bm_ard_3-2-1_50KMA_2022-05-29_final.stac-item
2022-05-30 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2022-05-30_final.stac-item
2022-06-30 11:06:42	ga_s2bm_ard_3-2-1_51HYD_2022-06-30_final.stac-item
2022-09-02 10:41:53	ga_s2bm_ard_3-2-1_53KPB_2022-09-02_final.stac-item
2022-09-02 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2022-09-02_final.stac-item
2022-09-16 10:26:42	ga_s2bm_ard_3-2-1_54HUG_2022-09-16_final.stac-item
2022-10-01 11:11:38	ga_s2bm_ard_3-2-1_52LFJ_2022-10-01_final.stac-item
2022-10-27 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2022-10-27_final.stac-item
2022-10-30 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2022-10-30_final.stac-item
2022-11-11 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2022-11-11_final.stac-item
2023-01-11 10:15:55	ga_s2bm_ard_3-2-1_54HVK_2023-01-11_final.stac-item
2023-01-13 10:52:40	ga_s2bm_ard_3-2-1_52KHD_2023-01-13_final.stac-item
2023-01-20 10:46:18	ga_s2bm_ard_3-2-1_53HMD_2023-01-20_final.stac-item
2023-01-25 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2023-01-25_final.stac-item
2023-01-30 10:44:36	ga_s2bm_ard_3-2-1_53JML_2023-01-30_final.stac-item
2023-02-19 10:41:40	ga_s2bm_ard_3-2-1_53LNC_2023-02-19_final
2023-02-22 10:51:07	ga_s2bm_ard_3-2-1_53LNE_2023-02-22_nrt.stac-item
2023-02-22 10:52:31	ga_s2bm_ard_3-2-1_52KHE_2023-02-22_final
2023-03-05 10:26:49	ga_s2bm_ard_3-2-1_53HQB_2023-03-05_final
2023-03-28 10:34:54	ga_s2bm_ard_3-2-1_53JPK_2023-03-28_final
2023-04-06 11:06:37	ga_s2bm_ard_3-2-1_52HBJ_2023-04-06_nrt
2023-04-28 10:06:48	ga_s2bm_ard_3-2-1_54HVG_2023-04-28_final
2023-07-16 10:34:09	ga_s2bm_ard_3-2-1_53JQN_2023-07-16_final
2023-08-19 11:57:19	ga_s2bm_ard_3-2-1_50HKH_2023-08-19_nrt
2023-09-01 10:26:45	ga_s2bm_ard_3-2-1_54HUG_2023-09-01_final
2023-11-12 11:03:55	ga_s2bm_ard_3-2-1_52KDV_2023-11-12_final
2023-11-21 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2023-11-21_final
2023-12-03 10:31:47	ga_s2bm_ard_3-2-1_53KRB_2023-12-03_final
2023-12-13 10:33:57	ga_s2bm_ard_3-2-1_53JRN_2023-12-13_final
2023-12-20 10:26:54	ga_s2bm_ard_3-2-1_53HNB_2023-12-20_final
2024-01-02 10:35:02	ga_s2bm_ard_3-2-1_53JQJ_2024-01-02_final
2024-01-09 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2024-01-09_final
2024-02-21 10:32:37	ga_s2bm_ard_3-2-1_53KQU_2024-02-21_final
2024-03-14 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2024-03-14_final
2024-03-15 10:45:38	ga_s2bm_ard_3-2-1_53JLG_2024-03-15_final
2024-03-15 10:46:07	ga_s2bm_ard_3-2-1_53HLE_2024-03-15_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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