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
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HNK_2017-10-06_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGL_2017-12-01_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-12-14_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JGM_2017-12-31_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHR_2018-01-10_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-01-20_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-01-20_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KGR_2018-02-12_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-01_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNH_2018-03-05_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNK_2018-03-05_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JHN_2018-03-31_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50HMK_2018-04-04_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-04-10_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JGL_2018-04-10_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JGL_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49JHN_2018-04-20_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KGQ_2018-04-23_final.stac-item
2018-08-01 12:13:25	ga_s2bm_ard_3-2-1_49JGM_2018-08-01_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-08-28_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JGM_2018-10-20_final.stac-item
2018-11-06 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2018-11-06_final.stac-item
2018-11-16 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2018-11-16_final.stac-item
2018-12-03 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2018-12-03_final.stac-item
2018-12-26 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2018-12-26_final.stac-item
2018-12-29 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2018-12-29_final.stac-item
2019-01-18 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2019-01-18_final.stac-item
2019-02-18 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-02-18_final.stac-item
2019-02-28 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-02-28_final.stac-item
2019-03-13 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2019-03-13_final.stac-item
2019-03-20 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-03-20_final.stac-item
2019-03-30 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2019-03-30_final.stac-item
2019-04-12 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2019-04-12_final.stac-item
2019-04-15 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2019-04-15_final.stac-item
2019-05-22 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-05-22_final.stac-item
2019-10-22 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2019-10-22_final.stac-item
2019-10-26 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2019-10-26_final.stac-item
2019-11-24 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2019-11-24_final.stac-item
2019-11-28 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2019-11-28_final.stac-item
2019-12-18 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-18_final.stac-item
2019-12-21 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-21_final.stac-item
2020-01-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2020-01-13_final.stac-item
2020-10-10 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-10-10_final.stac-item
2020-11-05 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-11-05_final.stac-item
2020-12-08 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2020-12-08_final.stac-item
2020-12-09 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-12-09_final.stac-item
2020-12-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2020-12-18_final.stac-item
2020-12-19 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2020-12-19_final.stac-item
2020-12-22 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2020-12-22_final.stac-item
2021-01-01 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2021-01-01_final.stac-item
2021-02-17 11:47:24	ga_s2bm_ard_3-2-1_50HLG_2021-02-17_final
2021-05-27 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-05-27_final.stac-item
2021-06-17 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2021-06-17_final.stac-item
2021-07-23 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2021-07-23_final.stac-item
2021-08-06 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-08-06_final.stac-item
2021-08-12 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-08-12_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 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2021-08-22_final.stac-item
2021-08-22 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-08-22_final.stac-item
2021-09-04 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2021-09-04_final
2021-09-21 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-09-21_final
2021-11-23 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2021-11-23_final.stac-item
2021-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2021-11-27_final.stac-item
2021-12-07 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2021-12-07_final.stac-item
2021-12-10 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2021-12-10_final.stac-item
2021-12-23 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-12-23_final.stac-item
2022-01-12 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-01-12_final.stac-item
2022-01-13 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2022-01-13_final.stac-item
2022-02-11 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-11_final.stac-item
2022-03-20 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2022-03-20_final.stac-item
2022-07-28 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-07-28_final.stac-item
2022-08-17 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2022-08-17_final.stac-item
2022-09-30 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-09-30_final.stac-item
2022-10-26 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-26_final.stac-item
2022-11-15 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2022-11-15_final.stac-item
2022-11-25 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-11-25_final.stac-item
2022-11-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-11-29_final.stac-item
2023-01-08 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-01-08_final.stac-item
2023-01-15 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2023-01-15_final.stac-item
2023-01-27 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-27_final.stac-item
2023-02-06 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-02-06_final
2023-02-14 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2023-02-14_final
2023-02-27 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2023-02-27_final
2023-03-28 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-03-28_final
2023-05-24 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-05-24_final
2023-06-17 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-06-17_final
2023-07-26 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-26_final
2023-08-06 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-08-06_final
2023-10-11 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2023-10-11_final
2023-10-25 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2023-10-25_final
2023-10-25 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2023-10-25_final
2023-11-03 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2023-11-03_final
2023-11-13 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2023-11-13_final
2023-11-17 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2023-11-17_final
2023-12-03 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-12-03_final
2024-01-26 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-01-26_final
2024-01-29 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2024-01-29_final
2024-02-18 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2024-02-18_final
2024-03-09 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2024-03-09_final
2024-04-08 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2024-04-08_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

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