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
2017-07-22 11:26:09	ga_s2bm_ard_3-2-1_51JUF_2017-07-22_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51JTJ_2017-10-06_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JLT_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
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49JGM_2017-12-24_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HNK_2018-01-07_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_50JQN_2018-02-03_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-02-12_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_50KLC_2018-02-19_final.stac-item
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_50KRC_2018-02-23_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KQC_2018-04-17_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HTC_2018-06-20_final.stac-item
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGL_2018-06-22_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50JKT_2018-06-29_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50HNK_2018-07-06_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KPB_2018-09-04_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50HMH_2018-11-03_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 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2018-11-06_final.stac-item
2018-11-14 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2018-11-14_final.stac-item
2018-11-23 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2018-11-23_final.stac-item
2018-11-30 11:43:58	ga_s2bm_ard_3-2-1_50KRV_2018-11-30_final.stac-item
2018-12-06 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2018-12-06_final.stac-item
2018-12-16 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2018-12-16_final.stac-item
2019-02-04 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2019-02-04_final.stac-item
2019-03-23 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2019-03-23_final.stac-item
2019-04-19 11:43:24	ga_s2bm_ard_3-2-1_50KRC_2019-04-19_final.stac-item
2019-04-29 11:46:12	ga_s2bm_ard_3-2-1_50JPM_2019-04-29_final.stac-item
2019-05-12 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-05-12_final.stac-item
2019-06-11 11:56:18	ga_s2bm_ard_3-2-1_50JLM_2019-06-11_final.stac-item
2019-06-17 12:14:20	ga_s2bm_ard_3-2-1_49KGQ_2019-06-17_final.stac-item
2019-07-02 11:27:10	ga_s2bm_ard_3-2-1_51HUC_2019-07-02_final.stac-item
2019-07-14 12:04:08	ga_s2bm_ard_3-2-1_49KHR_2019-07-14_final.stac-item
2019-07-21 11:53:30	ga_s2bm_ard_3-2-1_50KPC_2019-07-21_final.stac-item
2019-08-04 11:36:50	ga_s2bm_ard_3-2-1_51HUD_2019-08-04_final.stac-item
2019-08-04 11:37:14	ga_s2bm_ard_3-2-1_50HPH_2019-08-04_final.stac-item
2019-08-11 11:26:54	ga_s2bm_ard_3-2-1_51HUD_2019-08-11_final.stac-item
2019-10-16 11:46:27	ga_s2bm_ard_3-2-1_50JML_2019-10-16_final.stac-item
2019-10-25 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2019-10-25_final.stac-item
2019-10-25 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2019-10-25_final.stac-item
2019-12-01 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2019-12-01_final.stac-item
2020-01-17 11:53:40	ga_s2bm_ard_3-2-1_50KQA_2020-01-17_final.stac-item
2020-02-26 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2020-02-26_final.stac-item
2020-04-16 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2020-04-16_final.stac-item
2020-06-01 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-01_final.stac-item
2020-08-01 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2020-08-01_final.stac-item
2020-08-30 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-08-30_final.stac-item
2020-10-27 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2020-10-27_final.stac-item
2020-12-08 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-12-08_final.stac-item
2020-12-25 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2020-12-25_final.stac-item
2021-01-15 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2021-01-15_final.stac-item
2021-01-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-01-27_final.stac-item
2021-02-17 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2021-02-17_final.stac-item
2021-02-17 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_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
2021-04-21 11:52:14	ga_s2bm_ard_3-2-1_50KQG_2021-04-21_final
2021-05-17 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2021-05-17_final.stac-item
2021-05-18 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2021-05-18_final.stac-item
2021-06-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-06-13_final.stac-item
2021-06-14 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-06-14_final
2021-06-23 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2021-06-23_final.stac-item
2021-07-13 12:04:50	ga_s2bm_ard_3-2-1_50JKT_2021-07-13_final.stac-item
2021-08-09 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-08-09_final.stac-item
2021-08-19 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2021-08-19_final.stac-item
2021-10-21 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2021-10-21_final.stac-item
2021-11-20 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2021-11-20_final.stac-item
2021-12-10 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-12-10_final.stac-item
2021-12-23 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-23_final.stac-item
2022-02-21 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2022-02-21_final.stac-item
2022-03-31 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2022-03-31_final.stac-item
2022-04-10 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2022-04-10_final.stac-item
2022-04-26 11:55:43	ga_s2bm_ard_3-2-1_50JNN_2022-04-26_final.stac-item
2022-08-08 11:34:41	ga_s2bm_ard_3-2-1_50JRT_2022-08-08_final.stac-item
2022-09-03 11:55:14	ga_s2bm_ard_3-2-1_50JLR_2022-09-03_final.stac-item
2022-09-16 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-09-16_final.stac-item
2023-01-01 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-01-01_final.stac-item
2023-01-14 12:05:22	ga_s2bm_ard_3-2-1_50JKQ_2023-01-14_final.stac-item
2023-01-21 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2023-01-21_final.stac-item
2023-02-01 11:26:51	ga_s2bm_ard_3-2-1_51HWC_2023-02-01_final
2023-02-10 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-02-10_final.stac-item
2023-02-24 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2023-02-24_final
2023-03-29 11:45:50	ga_s2bm_ard_3-2-1_50JQN_2023-03-29_final
2023-03-30 11:16:26	ga_s2bm_ard_3-2-1_51HYE_2023-03-30_final
2023-05-07 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2023-05-07_final
2023-06-03 12:04:38	ga_s2bm_ard_3-2-1_49KGP_2023-06-03_final
2023-06-10 11:56:27	ga_s2bm_ard_3-2-1_50JML_2023-06-10_final
2023-06-11 11:26:37	ga_s2bm_ard_3-2-1_51HUE_2023-06-11_final
2023-06-27 11:46:35	ga_s2bm_ard_3-2-1_50HQK_2023-06-27_final
2023-07-23 12:06:16	ga_s2bm_ard_3-2-1_50JKM_2023-07-23_final
2023-07-27 11:44:51	ga_s2bm_ard_3-2-1_50JQS_2023-07-27_final
2023-08-29 11:53:29	ga_s2bm_ard_3-2-1_50KNC_2023-08-29_final
2023-10-15 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-10-15_final
2023-11-03 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-11-03_final
2023-11-04 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2023-11-04_final
2023-12-27 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2023-12-27_final
2024-02-15 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2024-02-15_final
2024-02-19 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2024-02-19_final
2024-03-26 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2024-03-26_final
2024-03-30 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2024-03-30_final
2024-05-08 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2024-05-08_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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