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
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_49JGJ_2017-11-01_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HNJ_2017-12-05_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-12-15_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JKN_2017-12-28_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49KHR_2018-01-10_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HLH_2018-01-24_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HMH_2018-02-03_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JKP_2018-02-16_final.stac-item
2018-02-16 11:54:55	ga_s2bm_ard_3-2-1_50JLL_2018-02-16_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HQJ_2018-03-22_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JKP_2018-04-07_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMJ_2018-05-24_final.stac-item
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_50HNK_2018-06-13_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGM_2018-06-19_final.stac-item
2018-06-22 12:13:20	ga_s2bm_ard_3-2-1_49KGR_2018-06-22_final.stac-item
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HMH_2018-09-01_final.stac-item
2018-11-23 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2018-11-23_final.stac-item
2018-11-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-11-26_final.stac-item
2018-12-26 12:04:14	ga_s2bm_ard_3-2-1_49KGQ_2018-12-26_final.stac-item
2019-01-09 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2019-01-09_final.stac-item
2019-03-09 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2019-03-09_final.stac-item
2019-03-19 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2019-03-19_final.stac-item
2019-04-12 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-04-12_final.stac-item
2019-05-15 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-15_final.stac-item
2019-06-27 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-06-27_final.stac-item
2019-09-02 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2019-09-02_final.stac-item
2019-10-19 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2019-10-19_final.stac-item
2019-11-11 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2019-11-11_final.stac-item
2019-12-25 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2019-12-25_final.stac-item
2020-01-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-01-10_final.stac-item
2020-01-13 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2020-01-13_final.stac-item
2020-02-09 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2020-02-09_final.stac-item
2020-02-26 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-02-26_final.stac-item
2020-03-07 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2020-03-07_final.stac-item
2020-03-10 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2020-03-10_final.stac-item
2020-05-20 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2020-05-20_final.stac-item
2020-06-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-08_final.stac-item
2020-06-18 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-06-18_final.stac-item
2020-06-25 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2020-06-25_final.stac-item
2020-06-28 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-06-28_final.stac-item
2020-06-28 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-06-28_final.stac-item
2020-07-02 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-07-02_final.stac-item
2020-07-02 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-02_final.stac-item
2020-07-29 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-07-29_final.stac-item
2020-10-06 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-06_final.stac-item
2020-10-23 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2020-10-23_final.stac-item
2020-11-09 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2020-11-09_final.stac-item
2020-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2020-12-18_final.stac-item
2020-12-25 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2020-12-25_final.stac-item
2021-01-14 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2021-01-14_final.stac-item
2021-03-15 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-03-15_final.stac-item
2021-03-25 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2021-03-25_final.stac-item
2021-04-28 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-04-28_final
2021-05-21 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2021-05-21_final.stac-item
2021-07-03 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-03_final.stac-item
2021-07-13 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2021-07-13_final.stac-item
2021-07-23 12:05:10	ga_s2bm_ard_3-2-1_49JFM_2021-07-23_final.stac-item
2021-08-22 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-08-22_final.stac-item
2021-09-21 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-09-21_final.stac-item
2021-10-08 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-10-08_final
2021-10-24 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-10-24_final.stac-item
2021-10-31 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-10-31_final.stac-item
2021-11-13 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-11-13_final.stac-item
2021-11-14 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2021-11-14_final.stac-item
2021-11-14 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2021-11-14_final
2021-12-03 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-12-03_final.stac-item
2021-12-07 11:57:15	ga_s2bm_ard_3-2-1_50HMG_2021-12-07_final
2022-01-13 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2022-01-13_final.stac-item
2022-01-29 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2022-01-29_final.stac-item
2022-02-18 12:05:08	ga_s2bm_ard_3-2-1_49JGL_2022-02-18_final.stac-item
2022-03-14 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-03-14_final.stac-item
2022-04-09 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-04-09_final.stac-item
2022-05-22 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-22_final.stac-item
2022-08-08 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2022-08-08_final.stac-item
2022-09-19 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2022-09-19_final.stac-item
2022-11-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-15_final.stac-item
2022-12-05 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2022-12-05_final.stac-item
2022-12-15 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-12-15_final.stac-item
2022-12-16 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2022-12-16_final.stac-item
2023-01-11 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2023-01-11_final.stac-item
2023-04-18 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2023-04-18_final
2023-04-24 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2023-04-24_final
2023-04-25 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-04-25_final
2023-05-21 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-05-21_final
2023-06-07 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-07_final
2023-06-17 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-06-17_final
2023-06-23 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-06-23_final
2023-07-27 11:46:49	ga_s2bm_ard_3-2-1_50HQJ_2023-07-27_final
2023-08-12 12:05:03	ga_s2bm_ard_3-2-1_50JKS_2023-08-12_final
2023-09-08 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-09-08_final
2023-10-21 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-21_final
2023-10-22 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-10-22_final
2023-11-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2023-11-27_final
2024-02-01 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2024-02-01_final
2024-02-21 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-02-21_final
2024-03-26 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2024-03-26_final
2024-04-08 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-04-08_final
2024-04-25 11:57:18	ga_s2bm_ard_3-2-1_50HMG_2024-04-25_final
2024-05-08 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-05-08_final
2024-05-08 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2024-05-08_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

Other products

All years