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
2017-07-04 11:59:31	ga_s2bm_ard_3-2-1_50KLB_2017-07-04_final.stac-item
2017-08-16 12:14:39	ga_s2bm_ard_3-2-1_49JFM_2017-08-16_final.stac-item
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_50KKA_2017-09-15_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HVC_2017-11-19_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-11-21_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HMH_2017-11-28_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KRC_2017-12-28_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KQV_2018-01-07_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JKP_2018-02-09_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HQJ_2018-04-01_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNM_2018-07-03_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_50KRD_2018-08-02_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNL_2018-08-05_final.stac-item
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51HUC_2018-08-26_final.stac-item
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51HXE_2018-09-02_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JML_2018-09-04_final.stac-item
2019-04-02 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2019-04-02_final.stac-item
2019-04-09 11:43:40	ga_s2bm_ard_3-2-1_50KQB_2019-04-09_final.stac-item
2019-05-03 11:26:44	ga_s2bm_ard_3-2-1_51HXD_2019-05-03_final.stac-item
2019-05-06 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-06_final.stac-item
2019-07-22 11:26:50	ga_s2bm_ard_3-2-1_51HVD_2019-07-22_final.stac-item
2019-07-28 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2019-07-28_final.stac-item
2019-09-02 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2019-09-02_final.stac-item
2019-09-02 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2019-09-02_final.stac-item
2019-09-20 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2019-09-20_final.stac-item
2019-11-01 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2019-11-01_final.stac-item
2019-12-21 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2019-12-21_final.stac-item
2020-01-27 11:52:12	ga_s2bm_ard_3-2-1_50KQG_2020-01-27_final
2020-02-06 11:53:18	ga_s2bm_ard_3-2-1_50KNC_2020-02-06_final.stac-item
2020-02-06 11:56:08	ga_s2bm_ard_3-2-1_50JKM_2020-02-06_final.stac-item
2020-05-26 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2020-05-26_final.stac-item
2020-06-02 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2020-06-02_final.stac-item
2020-06-16 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2020-06-16_final.stac-item
2020-06-22 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-06-22_final.stac-item
2020-08-02 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2020-08-02_final.stac-item
2020-09-13 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2020-09-13_final.stac-item
2020-10-13 11:53:25	ga_s2bm_ard_3-2-1_50KPC_2020-10-13_final.stac-item
2020-12-02 11:56:10	ga_s2bm_ard_3-2-1_50JLM_2020-12-02_final.stac-item
2021-01-12 11:26:52	ga_s2bm_ard_3-2-1_51HVD_2021-01-12_final.stac-item
2021-01-14 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-01-14_final.stac-item
2021-01-24 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2021-01-24_final.stac-item
2021-02-13 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-02-13_final.stac-item
2021-05-22 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2021-05-22_final.stac-item
2021-06-10 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2021-06-10_final
2021-07-07 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2021-07-07_final.stac-item
2021-07-14 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2021-07-14_final.stac-item
2021-07-14 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2021-07-14_final
2021-07-24 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-07-24_final.stac-item
2021-08-03 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-08-03_final
2021-08-26 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-08-26_final.stac-item
2021-09-26 11:16:57	ga_s2bm_ard_3-2-1_51HWC_2021-09-26_final
2021-10-11 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2021-10-11_final.stac-item
2021-10-12 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-10-12_final.stac-item
2021-10-12 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-10-12_final
2021-10-24 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2021-10-24_final.stac-item
2021-10-25 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-10-25_final.stac-item
2021-11-24 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2021-11-24_final.stac-item
2021-12-07 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2021-12-07_final.stac-item
2022-01-02 12:15:16	ga_s2bm_ard_3-2-1_49JGK_2022-01-02_final.stac-item
2022-01-26 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2022-01-26_final.stac-item
2022-01-26 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2022-01-26_final.stac-item
2022-02-15 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-02-15_final.stac-item
2022-02-18 12:05:34	ga_s2bm_ard_3-2-1_50JKP_2022-02-18_final.stac-item
2022-03-01 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2022-03-01_final.stac-item
2022-03-10 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2022-03-10_final.stac-item
2022-03-10 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-03-10_final.stac-item
2022-03-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-03-17_final.stac-item
2022-03-25 11:16:20	ga_s2bm_ard_3-2-1_51HYE_2022-03-25_final.stac-item
2022-04-03 11:46:48	ga_s2bm_ard_3-2-1_50HNJ_2022-04-03_final.stac-item
2022-04-10 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2022-04-10_final.stac-item
2022-04-29 12:05:37	ga_s2bm_ard_3-2-1_49JGJ_2022-04-29_final.stac-item
2022-05-12 12:13:46	ga_s2bm_ard_3-2-1_49KHR_2022-05-12_final.stac-item
2022-05-29 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-05-29_final.stac-item
2022-06-21 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-06-21_final.stac-item
2022-07-19 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2022-07-19_final.stac-item
2022-08-28 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2022-08-28_final.stac-item
2022-10-06 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2022-10-06_final.stac-item
2022-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2022-11-06_final.stac-item
2022-11-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-11-18_final.stac-item
2022-12-10 11:16:19	ga_s2bm_ard_3-2-1_51HYE_2022-12-10_final.stac-item
2022-12-15 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2022-12-15_final.stac-item
2022-12-25 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2022-12-25_final.stac-item
2023-01-01 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2023-01-01_final.stac-item
2023-02-13 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2023-02-13_final
2023-02-27 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2023-02-27_final
2023-04-01 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2023-04-01_final
2023-04-01 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2023-04-01_final
2023-04-11 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2023-04-11_final
2023-04-14 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-04-14_final
2023-05-08 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-05-08_final
2023-07-17 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-07-17_final
2023-07-27 11:43:24	ga_s2bm_ard_3-2-1_50KRC_2023-07-27_final
2023-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-08-15_final
2023-08-22 12:03:24	ga_s2bm_ard_3-2-1_50KNC_2023-08-22_final
2023-09-05 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-09-05_final
2023-11-04 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-11-04_final
2024-03-03 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2024-03-03_final
2024-03-06 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2024-03-06_final
2024-03-07 11:26:49	ga_s2bm_ard_3-2-1_51HWC_2024-03-07_final
2024-04-02 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2024-04-02_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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