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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JLN_2017-07-31_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-11-25_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JKN_2017-12-08_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50JKP_2017-12-21_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HMK_2018-01-14_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGM_2018-01-20_final.stac-item
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_50HQH_2018-01-31_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMK_2018-02-03_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLH_2018-02-26_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50JKN_2018-03-18_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLJ_2018-04-17_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMJ_2018-05-24_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JKP_2018-06-19_final.stac-item
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HQH_2018-06-20_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_49JGJ_2018-06-29_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HQJ_2018-07-13_final.stac-item
2018-11-17 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2018-11-17_final.stac-item
2018-12-26 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2018-12-26_final.stac-item
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2019-01-05_final.stac-item
2019-01-09 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2019-01-09_final.stac-item
2019-01-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-01-25_final.stac-item
2019-02-28 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-02-28_final.stac-item
2019-03-03 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2019-03-03_final.stac-item
2019-04-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2019-04-02_final.stac-item
2019-05-02 11:55:54	ga_s2bm_ard_3-2-1_50JKP_2019-05-02_final.stac-item
2019-05-02 11:56:04	ga_s2bm_ard_3-2-1_50JLN_2019-05-02_final.stac-item
2019-05-26 11:37:00	ga_s2bm_ard_3-2-1_50HPJ_2019-05-26_final.stac-item
2019-07-01 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-07-01_final.stac-item
2019-08-17 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2019-08-17_final.stac-item
2019-11-18 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-11-18_final.stac-item
2019-12-21 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2019-12-21_final.stac-item
2019-12-22 11:36:42	ga_s2bm_ard_3-2-1_50HPJ_2019-12-22_final.stac-item
2020-01-07 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2020-01-07_final.stac-item
2020-01-14 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-01-14_final.stac-item
2020-01-20 12:05:34	ga_s2bm_ard_3-2-1_50JKP_2020-01-20_final.stac-item
2020-01-27 11:56:58	ga_s2bm_ard_3-2-1_50HMH_2020-01-27_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 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2020-02-16_final.stac-item
2020-03-07 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-03-07_final.stac-item
2020-03-20 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2020-03-20_final.stac-item
2020-04-23 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2020-04-23_final.stac-item
2020-05-19 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2020-05-19_final.stac-item
2020-05-29 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-05-29_final.stac-item
2020-10-10 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-10_final.stac-item
2020-10-16 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-10-16_final.stac-item
2020-11-05 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2020-11-05_final.stac-item
2020-12-05 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2020-12-05_final.stac-item
2020-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2020-12-18_final.stac-item
2020-12-22 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2020-12-22_final.stac-item
2021-01-18 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2021-01-18_final.stac-item
2021-01-18 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-18_final
2021-01-31 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-01-31_final.stac-item
2021-02-10 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-02-10_final.stac-item
2021-02-10 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2021-02-10_final.stac-item
2021-02-27 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-02-27_final
2021-03-16 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2021-03-16_final
2021-04-01 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2021-04-01_final.stac-item
2021-04-25 11:36:43	ga_s2bm_ard_3-2-1_50HQJ_2021-04-25_final.stac-item
2021-04-28 11:47:16	ga_s2bm_ard_3-2-1_50HNG_2021-04-28_final
2021-05-24 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-05-24_final.stac-item
2021-05-25 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-05-25_final.stac-item
2021-06-04 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2021-06-04_final
2021-06-07 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-06-07_final.stac-item
2021-06-14 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-06-14_final.stac-item
2021-06-17 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2021-06-17_final.stac-item
2021-07-03 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2021-07-03_final.stac-item
2021-07-07 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-07-07_final
2021-07-17 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2021-07-17_final
2021-07-27 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2021-07-27_final.stac-item
2021-10-11 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2021-10-11_final.stac-item
2021-10-22 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-10-22_final.stac-item
2021-11-10 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-11-10_final.stac-item
2021-11-14 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2021-11-14_final
2021-12-13 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2021-12-13_final.stac-item
2021-12-20 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2021-12-20_final.stac-item
2022-02-28 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2022-02-28_final.stac-item
2022-05-13 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-05-13_final.stac-item
2022-06-12 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2022-06-12_final.stac-item
2022-08-17 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2022-08-17_final.stac-item
2022-08-21 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-21_final.stac-item
2022-08-27 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2022-08-27_final.stac-item
2023-01-31 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-01-31_final.stac-item
2023-03-05 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-03-05_final
2023-04-15 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-04-15_final
2023-04-15 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2023-04-15_final
2023-06-03 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-06-03_final
2023-07-27 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-27_final
2023-10-02 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-10-02_final
2023-11-10 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-11-10_final
2023-11-24 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2023-11-24_final
2023-11-27 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2023-11-27_final
2023-12-21 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-12-21_final
2023-12-24 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-12-24_final
2023-12-30 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-12-30_final
2024-02-12 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2024-02-12_final
2024-02-22 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2024-02-22_final
2024-03-26 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2024-03-26_final
2024-03-29 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2024-03-29_final
2024-03-29 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2024-03-29_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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