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 12:04:34	ga_s2bm_ard_3-2-1_49JGN_2017-07-04_final.stac-item
2017-07-07 12:14:42	ga_s2bm_ard_3-2-1_49JGL_2017-07-07_final.stac-item
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGM_2017-08-03_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMH_2017-11-15_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGM_2017-12-01_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGN_2017-12-21_final.stac-item
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HNK_2017-12-25_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHP_2018-01-10_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HPH_2018-01-11_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49JGL_2018-01-23_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KHQ_2018-03-04_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNH_2018-03-05_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HMK_2018-03-08_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGN_2018-03-14_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49KHQ_2018-03-21_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGM_2018-03-24_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KHP_2018-03-24_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HNH_2018-05-24_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-06-09_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-06-19_final.stac-item
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGL_2018-06-22_final.stac-item
2018-06-23 11:43:22	ga_s2bm_ard_3-2-1_50HNK_2018-06-23_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-06-29_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGJ_2018-07-09_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JHM_2018-07-09_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGN_2018-07-19_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JHN_2018-07-19_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGM_2018-07-29_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-08-12_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-08-28_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-08-28_final.stac-item
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HMJ_2018-09-01_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGN_2018-09-17_final.stac-item
2018-12-23 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2018-12-23_final.stac-item
2018-12-30 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2018-12-30_final.stac-item
2019-01-19 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-01-19_final.stac-item
2019-03-13 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2019-03-13_final.stac-item
2019-03-20 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-03-20_final.stac-item
2019-03-29 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2019-03-29_final.stac-item
2019-04-05 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2019-04-05_final.stac-item
2019-04-15 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-04-15_final.stac-item
2019-05-18 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-05-18_final.stac-item
2019-05-19 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-05-19_final.stac-item
2019-06-08 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2019-06-08_final.stac-item
2019-06-08 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-06-08_final.stac-item
2019-08-13 12:04:52	ga_s2bm_ard_3-2-1_49JGN_2019-08-13_final.stac-item
2019-10-29 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-10-29_final.stac-item
2019-11-28 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2019-11-28_final.stac-item
2019-12-05 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-05_final.stac-item
2019-12-08 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2019-12-08_final.stac-item
2020-01-10 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2020-01-10_final.stac-item
2020-01-10 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2020-01-10_final.stac-item
2020-01-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-01-17_final.stac-item
2020-02-06 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-02-06_final.stac-item
2020-02-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-02-16_final.stac-item
2020-02-23 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2020-02-23_final.stac-item
2020-03-17 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-17_final.stac-item
2020-03-27 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2020-03-27_final.stac-item
2020-04-03 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2020-04-03_final.stac-item
2020-05-23 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2020-05-23_final.stac-item
2020-06-21 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2020-06-21_final.stac-item
2020-07-02 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-07-02_final.stac-item
2020-08-17 12:04:53	ga_s2bm_ard_3-2-1_49JGN_2020-08-17_final.stac-item
2020-10-13 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2020-10-13_final.stac-item
2020-10-30 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2020-10-30_final.stac-item
2020-11-09 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-11-09_final.stac-item
2020-11-18 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2020-11-18_final.stac-item
2020-11-22 11:57:12	ga_s2bm_ard_3-2-1_50HMH_2020-11-22_final.stac-item
2020-12-09 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-12-09_final.stac-item
2020-12-12 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-12-12_final.stac-item
2021-03-15 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2021-03-15_final.stac-item
2021-03-19 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-03-19_final.stac-item
2021-03-29 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2021-03-29_final.stac-item
2021-04-04 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2021-04-04_final.stac-item
2021-04-14 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2021-04-14_final.stac-item
2021-04-21 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2021-04-21_final.stac-item
2021-04-24 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2021-04-24_final.stac-item
2021-04-25 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2021-04-25_final.stac-item
2021-04-28 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2021-04-28_final.stac-item
2021-05-18 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-05-18_final.stac-item
2021-06-27 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-06-27_final.stac-item
2021-07-23 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2021-07-23_final.stac-item
2021-07-24 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2021-07-24_final.stac-item
2021-08-02 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2021-08-02_final.stac-item
2021-08-12 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-08-12_final.stac-item
2021-08-22 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2021-08-22_final.stac-item
2021-12-04 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2021-12-04_final.stac-item
2021-12-17 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2021-12-17_final.stac-item
2022-02-08 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2022-02-08_final.stac-item
2022-02-18 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-02-18_final.stac-item
2022-09-06 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2022-09-06_final.stac-item
2023-03-08 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-03-08_final
2023-05-15 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2023-05-15_final
2023-11-24 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2023-11-24_final
2023-11-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2023-11-24_final
2023-12-10 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2023-12-10_final
2024-03-12 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2024-03-12_final
2024-03-20 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2024-03-20_final
2024-05-05 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2024-05-05_final
2024-05-11 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-05-11_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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