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
2017-07-11 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2017-07-11_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49JHN_2017-11-21_final.stac-item
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50JML_2018-01-07_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JFM_2018-01-23_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50JLN_2018-01-30_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-02-09_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-03-01_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50JML_2018-05-24_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50HMJ_2018-06-06_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50JMS_2018-06-06_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HNJ_2018-08-12_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49KGP_2018-08-18_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50JLN_2018-09-17_final.stac-item
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2018-09-27_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KHQ_2018-09-30_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49KGP_2018-10-20_final.stac-item
2018-10-20 12:14:55	ga_s2bm_ard_3-2-1_49JGL_2018-10-20_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-10-27_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JLM_2018-11-03_final.stac-item
2018-11-20 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2018-11-20_final.stac-item
2018-12-10 11:45:59	ga_s2bm_ard_3-2-1_50JMM_2018-12-10_final.stac-item
2019-01-15 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2019-01-15_final.stac-item
2019-05-05 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-05_final.stac-item
2019-05-06 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-06_final.stac-item
2019-05-15 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-15_final.stac-item
2019-05-22 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-22_final.stac-item
2019-06-21 11:55:47	ga_s2bm_ard_3-2-1_50JMP_2019-06-21_final.stac-item
2019-12-21 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2019-12-21_final.stac-item
2020-01-20 12:05:58	ga_s2bm_ard_3-2-1_50JLM_2020-01-20_final.stac-item
2020-02-13 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2020-02-13_final.stac-item
2020-05-19 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2020-05-19_final.stac-item
2020-06-05 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2020-06-05_final.stac-item
2020-08-21 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-08-21_final.stac-item
2020-08-30 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-30_final.stac-item
2020-09-20 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-09-20_final.stac-item
2020-09-30 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-09-30_final.stac-item
2020-09-30 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2020-09-30_final.stac-item
2020-10-13 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2020-10-13_final.stac-item
2020-10-23 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2020-10-23_final.stac-item
2020-11-22 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2020-11-22_final.stac-item
2020-12-02 11:56:17	ga_s2bm_ard_3-2-1_50JNL_2020-12-02_final.stac-item
2020-12-22 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2020-12-22_final.stac-item
2021-01-27 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2021-01-27_final.stac-item
2021-02-10 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-02-10_final.stac-item
2021-02-13 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2021-02-13_final.stac-item
2021-02-20 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-02-20_final.stac-item
2021-02-27 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2021-02-27_final.stac-item
2021-03-02 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2021-03-02_final.stac-item
2021-03-25 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2021-03-25_final.stac-item
2021-04-18 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-04-18_final.stac-item
2021-04-28 11:46:29	ga_s2bm_ard_3-2-1_50HPK_2021-04-28_final.stac-item
2021-05-07 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2021-05-07_final.stac-item
2021-05-31 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-05-31_final.stac-item
2021-06-03 12:04:55	ga_s2bm_ard_3-2-1_50JLS_2021-06-03_final.stac-item
2021-06-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-06-03_final.stac-item
2021-06-07 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-06-07_final.stac-item
2021-09-04 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2021-09-04_final.stac-item
2021-10-31 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2021-10-31_final.stac-item
2021-11-23 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2021-11-23_final.stac-item
2021-11-24 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2021-11-24_final.stac-item
2021-12-03 12:13:54	ga_s2bm_ard_3-2-1_49KGR_2021-12-03_final.stac-item
2022-01-09 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2022-01-09_final.stac-item
2022-01-12 12:14:37	ga_s2bm_ard_3-2-1_49JGN_2022-01-12_final.stac-item
2022-01-30 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2022-01-30_final.stac-item
2022-02-08 12:04:52	ga_s2bm_ard_3-2-1_49JGM_2022-02-08_final.stac-item
2022-02-18 12:05:45	ga_s2bm_ard_3-2-1_50JLN_2022-02-18_final.stac-item
2022-03-14 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-03-14_final.stac-item
2022-03-24 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2022-03-24_final.stac-item
2022-04-23 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2022-04-23_final.stac-item
2022-05-29 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-05-29_final.stac-item
2022-07-05 11:56:16	ga_s2bm_ard_3-2-1_50JLM_2022-07-05_final.stac-item
2022-07-11 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2022-07-11_final.stac-item
2022-07-28 12:04:33	ga_s2bm_ard_3-2-1_49KHP_2022-07-28_final.stac-item
2022-08-04 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2022-08-04_final.stac-item
2022-10-03 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2022-10-03_final.stac-item
2022-10-26 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2022-10-26_final.stac-item
2022-11-05 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2022-11-05_final.stac-item
2022-11-12 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2022-11-12_final.stac-item
2022-12-22 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2022-12-22_final.stac-item
2023-01-14 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2023-01-14_final.stac-item
2023-03-05 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-03-05_final
2023-03-12 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2023-03-12_final
2023-04-21 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-04-21_final
2023-05-17 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2023-05-17_final
2023-07-06 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-07-06_final
2023-07-06 12:14:47	ga_s2bm_ard_3-2-1_49JGN_2023-07-06_final
2023-07-07 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-07-07_final
2023-07-20 11:56:46	ga_s2bm_ard_3-2-1_50HLK_2023-07-20_final
2023-08-05 12:15:15	ga_s2bm_ard_3-2-1_49JGL_2023-08-05_final
2023-10-05 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2023-10-05_final
2023-10-15 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-10-15_final
2023-10-21 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2023-10-21_final
2023-10-25 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2023-10-25_final
2024-01-13 11:46:24	ga_s2bm_ard_3-2-1_50JML_2024-01-13_final
2024-01-23 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2024-01-23_final
2024-02-28 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2024-02-28_final
2024-03-09 12:04:22	ga_s2bm_ard_3-2-1_49KGP_2024-03-09_final
2024-04-02 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2024-04-02_final
2024-04-15 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2024-04-15_final
2024-04-25 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2024-04-25_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

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