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
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JKN_2017-09-29_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGK_2017-10-12_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51JTK_2018-02-03_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HPJ_2018-02-23_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JMM_2018-03-25_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49JGL_2018-06-12_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HPJ_2018-06-23_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGJ_2018-08-28_final.stac-item
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50HQH_2018-09-08_final.stac-item
2018-10-18 11:35:22	ga_s2bm_ard_3-2-1_50HPJ_2018-10-18_final.stac-item
2018-11-10 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2018-11-10_final.stac-item
2018-11-29 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2018-11-29_final.stac-item
2018-12-20 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2018-12-20_final.stac-item
2019-01-06 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2019-01-06_final.stac-item
2019-01-16 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2019-01-16_final.stac-item
2019-02-07 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-02-07_final.stac-item
2019-06-08 11:47:14	ga_s2bm_ard_3-2-1_50HNH_2019-06-08_final.stac-item
2019-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JKN_2019-08-10_final.stac-item
2019-09-22 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-09-22_final.stac-item
2019-09-29 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2019-09-29_final.stac-item
2019-10-16 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2019-10-16_final.stac-item
2019-10-25 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2019-10-25_final.stac-item
2019-11-04 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-11-04_final.stac-item
2019-11-15 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2019-11-15_final.stac-item
2019-12-01 12:03:47	ga_s2bm_ard_3-2-1_50KMA_2019-12-01_final.stac-item
2019-12-25 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2019-12-25_final.stac-item
2020-01-10 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2020-01-10_final.stac-item
2020-02-07 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2020-02-07_final.stac-item
2020-03-20 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-20_final.stac-item
2020-05-30 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2020-05-30_final.stac-item
2020-06-18 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-06-18_final.stac-item
2020-06-29 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-29_final.stac-item
2020-07-05 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2020-07-05_final.stac-item
2020-07-19 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2020-07-19_final.stac-item
2020-08-07 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2020-08-07_final.stac-item
2020-08-17 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-17_final.stac-item
2020-11-03 11:26:50	ga_s2bm_ard_3-2-1_51HUD_2020-11-03_final.stac-item
2020-12-22 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2020-12-22_final.stac-item
2021-01-02 11:24:28	ga_s2bm_ard_3-2-1_51JWN_2021-01-02_final.stac-item
2021-01-04 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-01-04_final.stac-item
2021-01-25 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2021-01-25_final.stac-item
2021-03-02 11:53:30	ga_s2bm_ard_3-2-1_50KQB_2021-03-02_final.stac-item
2021-03-02 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-03-02_final.stac-item
2021-03-05 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-03-05_final.stac-item
2021-05-14 12:04:47	ga_s2bm_ard_3-2-1_49JHN_2021-05-14_final.stac-item
2021-05-24 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-05-24_final.stac-item
2021-06-10 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2021-06-10_final
2021-07-10 11:56:01	ga_s2bm_ard_3-2-1_50JKN_2021-07-10_final.stac-item
2021-08-09 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-08-09_final.stac-item
2021-09-11 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2021-09-11_final.stac-item
2021-10-21 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-10-21_final.stac-item
2021-10-31 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-10-31_final.stac-item
2021-12-01 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-12-01_final.stac-item
2021-12-08 11:24:27	ga_s2bm_ard_3-2-1_51JZM_2021-12-08_final.stac-item
2021-12-20 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-12-20_final.stac-item
2022-01-07 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2022-01-07_final.stac-item
2022-01-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2022-01-19_final.stac-item
2022-01-27 11:26:41	ga_s2bm_ard_3-2-1_51HUD_2022-01-27_final.stac-item
2022-02-05 11:53:12	ga_s2bm_ard_3-2-1_50KQC_2022-02-05_final.stac-item
2022-02-08 12:03:39	ga_s2bm_ard_3-2-1_50KNA_2022-02-08_final.stac-item
2022-02-25 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-02-25_final.stac-item
2022-02-28 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-02-28_final.stac-item
2022-05-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-05-09_final.stac-item
2022-05-13 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2022-05-13_final.stac-item
2022-06-02 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-06-02_final.stac-item
2022-08-20 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2022-08-20_final.stac-item
2022-08-31 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2022-08-31_final.stac-item
2022-11-06 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2022-11-06_final.stac-item
2022-11-09 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-11-09_final.stac-item
2022-11-18 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2022-11-18_final.stac-item
2022-11-20 11:14:37	ga_s2bm_ard_3-2-1_51JZM_2022-11-20_final.stac-item
2022-12-02 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2022-12-02_final.stac-item
2022-12-16 11:36:08	ga_s2bm_ard_3-2-1_51JVF_2022-12-16_final.stac-item
2022-12-19 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2022-12-19_final.stac-item
2023-01-01 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2023-01-01_final.stac-item
2023-04-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2023-04-14_final
2023-04-29 11:15:17	ga_s2bm_ard_3-2-1_51JYK_2023-04-29_final
2023-05-19 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2023-05-19_final
2023-05-19 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2023-05-19_final
2023-05-27 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-05-27_final
2023-06-13 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-06-13_final
2023-06-18 11:14:28	ga_s2bm_ard_3-2-1_51JZN_2023-06-18_final
2023-07-07 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2023-07-07_final
2023-09-28 11:56:25	ga_s2bm_ard_3-2-1_50JML_2023-09-28_final
2023-10-28 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2023-10-28_final
2023-10-29 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-10-29_final
2023-11-18 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2023-11-18_final
2023-12-30 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2023-12-30_final
2024-01-06 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2024-01-06_final
2024-01-16 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2024-01-16_final
2024-01-29 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2024-01-29_final
2024-01-29 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2024-01-29_final
2024-02-05 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-02-05_final
2024-03-24 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2024-03-24_final
2024-03-26 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2024-03-26_final
2024-04-11 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2024-04-11_final
2024-04-12 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-04-12_final
2024-04-29 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2024-04-29_final
2024-05-05 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2024-05-05_final
2024-05-06 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2024-05-06_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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