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
2017-09-22 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-09-22_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HMJ_2017-10-06_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HMH_2017-11-05_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMJ_2017-12-08_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JKN_2017-12-21_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HQK_2018-01-14_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-02-09_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLJ_2018-03-08_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JKN_2018-03-08_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HLJ_2018-03-18_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JFM_2018-04-13_final.stac-item
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JKM_2018-05-07_final.stac-item
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_50HQH_2018-06-10_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HQJ_2018-07-23_final.stac-item
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HLJ_2018-07-26_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNJ_2018-08-02_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HQH_2018-08-29_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMK_2018-10-31_final.stac-item
2019-01-02 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2019-01-02_final.stac-item
2019-01-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2019-01-12_final.stac-item
2019-01-19 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-01-19_final.stac-item
2019-05-06 11:37:11	ga_s2bm_ard_3-2-1_50HQH_2019-05-06_final.stac-item
2019-05-19 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2019-05-19_final.stac-item
2019-06-01 11:56:22	ga_s2bm_ard_3-2-1_50JKM_2019-06-01_final.stac-item
2019-06-05 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-06-05_final.stac-item
2019-06-15 11:36:59	ga_s2bm_ard_3-2-1_50HPJ_2019-06-15_final.stac-item
2019-10-13 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-10-13_final.stac-item
2019-10-16 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2019-10-16_final.stac-item
2019-11-11 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2019-11-11_final.stac-item
2019-11-15 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2019-11-15_final.stac-item
2019-12-11 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2019-12-11_final.stac-item
2020-01-30 12:05:36	ga_s2bm_ard_3-2-1_49JGJ_2020-01-30_final.stac-item
2020-02-03 11:46:34	ga_s2bm_ard_3-2-1_50HMK_2020-02-03_final.stac-item
2020-02-03 11:46:49	ga_s2bm_ard_3-2-1_50HMJ_2020-02-03_final.stac-item
2020-02-26 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-02-26_final.stac-item
2020-04-16 11:56:50	ga_s2bm_ard_3-2-1_50HLJ_2020-04-16_final.stac-item
2020-06-02 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-06-02_final.stac-item
2020-06-21 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-21_final.stac-item
2020-07-19 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2020-07-19_final.stac-item
2020-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-10_final.stac-item
2020-08-10 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2020-08-10_final.stac-item
2020-08-24 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2020-08-24_final.stac-item
2020-09-20 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-09-20_final.stac-item
2020-09-26 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2020-09-26_final.stac-item
2020-10-16 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-10-16_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 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2020-11-18_final.stac-item
2020-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-11-22_final.stac-item
2020-12-02 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2020-12-02_final.stac-item
2020-12-09 11:46:28	ga_s2bm_ard_3-2-1_50HQK_2020-12-09_final.stac-item
2020-12-28 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-12-28_final.stac-item
2020-12-29 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2020-12-29_final.stac-item
2021-01-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-01-14_final.stac-item
2021-01-31 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-01-31_final.stac-item
2021-02-17 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2021-02-17_final.stac-item
2021-02-26 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-02-26_final.stac-item
2021-03-02 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-03-02_final.stac-item
2021-03-19 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-03-19_final
2021-04-05 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2021-04-05_final.stac-item
2021-04-15 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-04-15_final.stac-item
2021-06-07 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-06-07_final.stac-item
2021-07-06 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-06_final.stac-item
2021-07-23 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2021-07-23_final.stac-item
2021-08-06 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-08-06_final
2021-08-22 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-08-22_final.stac-item
2021-08-23 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-08-23_final.stac-item
2021-11-01 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-11-01_final.stac-item
2021-11-24 11:47:20	ga_s2bm_ard_3-2-1_50HMG_2021-11-24_final
2021-11-27 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2021-11-27_final.stac-item
2021-12-24 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2021-12-24_final.stac-item
2021-12-30 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2021-12-30_final.stac-item
2022-10-30 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-10-30_final.stac-item
2022-12-08 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-12-08_final.stac-item
2022-12-09 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2022-12-09_final.stac-item
2022-12-09 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2022-12-09_final.stac-item
2022-12-22 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-12-22_final.stac-item
2023-01-08 13:21:35	ga_s2bm_ard_3-2-1_47LKH_2023-01-08_interim
2023-01-11 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-01-11_final.stac-item
2023-01-14 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2023-01-14_final.stac-item
2023-02-03 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2023-02-03_final.stac-item
2023-02-13 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-02-13_final
2023-02-20 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-02-20_final
2023-05-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-05-04_final
2023-05-27 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-05-27_final
2023-07-10 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2023-07-10_final
2023-07-24 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-07-24_final
2023-08-12 12:04:05	ga_s2bm_ard_3-2-1_49KHR_2023-08-12_final
2023-11-04 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-11-04_final
2023-12-10 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2023-12-10_final
2023-12-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-12-14_final
2023-12-20 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-12-20_final
2023-12-21 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-12-21_final
2024-01-03 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2024-01-03_final
2024-01-09 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2024-01-09_final
2024-01-19 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-01-19_final
2024-01-26 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2024-01-26_final
2024-02-22 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-02-22_final
2024-03-06 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2024-03-06_final
2024-03-20 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2024-03-20_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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