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
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JPL_2017-12-05_final.stac-item
2018-01-07 11:56:02	ga_s2bm_ard_3-2-1_50HMJ_2018-01-07_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50JLN_2018-01-10_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-02-19_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JNM_2018-02-26_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JQS_2018-03-05_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JNM_2018-04-17_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50JPN_2018-06-13_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_50JLN_2018-08-08_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JKQ_2018-08-28_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50JNP_2018-10-14_final.stac-item
2018-12-03 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2018-12-03_final.stac-item
2018-12-26 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2018-12-26_final.stac-item
2019-01-22 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2019-01-22_final.stac-item
2019-01-25 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-01-25_final.stac-item
2019-02-14 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-02-14_final.stac-item
2019-02-18 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2019-02-18_final.stac-item
2019-03-27 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2019-03-27_final.stac-item
2019-04-18 12:14:04	ga_s2bm_ard_3-2-1_49KGR_2019-04-18_final.stac-item
2019-05-06 11:36:56	ga_s2bm_ard_3-2-1_50HQJ_2019-05-06_final.stac-item
2019-06-14 12:05:59	ga_s2bm_ard_3-2-1_50JLN_2019-06-14_final.stac-item
2019-06-18 11:47:10	ga_s2bm_ard_3-2-1_50HPH_2019-06-18_final.stac-item
2019-09-05 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2019-09-05_final.stac-item
2019-09-29 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2019-09-29_final.stac-item
2019-10-02 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-10-02_final.stac-item
2019-10-13 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2019-10-13_final.stac-item
2019-10-19 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2019-10-19_final.stac-item
2019-12-11 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2019-12-11_final.stac-item
2019-12-15 11:46:12	ga_s2bm_ard_3-2-1_50JPL_2019-12-15_final.stac-item
2019-12-25 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2019-12-25_final.stac-item
2020-01-23 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2020-01-23_final.stac-item
2020-01-30 12:05:18	ga_s2bm_ard_3-2-1_50JKQ_2020-01-30_final.stac-item
2020-04-09 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2020-04-09_final.stac-item
2020-05-12 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2020-05-12_final.stac-item
2020-06-02 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-06-02_final.stac-item
2020-07-01 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-07-01_final.stac-item
2020-07-29 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-07-29_final.stac-item
2020-07-31 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2020-07-31_final.stac-item
2020-08-01 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-08-01_final.stac-item
2020-08-18 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-08-18_final.stac-item
2020-08-20 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2020-08-20_final.stac-item
2020-09-26 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2020-09-26_final.stac-item
2020-10-06 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2020-10-06_final.stac-item
2020-10-23 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2020-10-23_final.stac-item
2020-11-15 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2020-11-15_final.stac-item
2021-03-02 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-03-02_final.stac-item
2021-03-25 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-03-25_final.stac-item
2021-04-01 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2021-04-01_final.stac-item
2021-04-08 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2021-04-08_final.stac-item
2021-04-15 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2021-04-15_final.stac-item
2021-05-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-05-24_final.stac-item
2021-05-25 11:34:37	ga_s2bm_ard_3-2-1_50JRT_2021-05-25_final.stac-item
2021-06-24 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-06-24_final.stac-item
2021-07-10 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-07-10_final.stac-item
2021-07-27 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2021-07-27_final.stac-item
2021-08-09 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-08-09_final.stac-item
2021-08-13 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-08-13_final.stac-item
2021-08-25 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2021-08-25_final.stac-item
2021-08-29 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2021-08-29_final.stac-item
2021-08-29 11:55:32	ga_s2bm_ard_3-2-1_50JNP_2021-08-29_final.stac-item
2021-09-15 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-09-15_final.stac-item
2021-09-21 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2021-09-21_final.stac-item
2021-10-02 11:35:37	ga_s2bm_ard_3-2-1_50JQP_2021-10-02_final.stac-item
2021-10-18 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-10-18_final.stac-item
2021-11-10 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2021-11-10_final.stac-item
2021-11-17 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2021-11-17_final.stac-item
2022-01-29 12:04:25	ga_s2bm_ard_3-2-1_49KGP_2022-01-29_final.stac-item
2022-04-10 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2022-04-10_final.stac-item
2022-04-16 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2022-04-16_final.stac-item
2022-05-03 11:46:03	ga_s2bm_ard_3-2-1_50JNM_2022-05-03_final.stac-item
2022-05-09 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2022-05-09_final.stac-item
2022-08-11 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2022-08-11_final.stac-item
2022-08-24 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2022-08-24_final.stac-item
2022-11-19 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2022-11-19_final.stac-item
2022-11-22 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-11-22_final.stac-item
2022-11-28 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-11-28_final.stac-item
2022-12-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-12-25_final.stac-item
2023-02-27 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2023-02-27_final
2023-03-12 11:56:15	ga_s2bm_ard_3-2-1_50JLM_2023-03-12_final
2023-04-14 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-04-14_final
2023-05-04 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2023-05-04_final
2023-05-05 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-05-05_final
2023-05-27 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2023-05-27_final
2023-06-17 11:44:50	ga_s2bm_ard_3-2-1_50JRS_2023-06-17_final
2023-06-23 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-06-23_final
2023-06-26 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-06-26_final
2023-07-16 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-07-16_final
2023-09-11 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-09-11_final
2023-09-11 12:05:25	ga_s2bm_ard_3-2-1_49JGL_2023-09-11_final
2023-09-18 11:56:40	ga_s2bm_ard_3-2-1_50HMK_2023-09-18_final
2023-10-25 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2023-10-25_final
2023-12-21 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2023-12-21_final
2023-12-27 11:56:23	ga_s2bm_ard_3-2-1_50JML_2023-12-27_final
2024-02-08 12:06:04	ga_s2bm_ard_3-2-1_50JLM_2024-02-08_final
2024-02-22 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-02-22_final
2024-03-12 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2024-03-12_final
2024-03-12 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2024-03-12_final
2024-03-20 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2024-03-20_final
2024-04-09 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2024-04-09_final
2024-04-15 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2024-04-15_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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