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
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGM_2017-08-03_final.stac-item
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGM_2017-10-02_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49JGM_2017-10-25_final.stac-item
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HPH_2017-12-05_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HMH_2017-12-08_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KHR_2017-12-11_final.stac-item
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_50HPH_2017-12-12_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-20_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-01-30_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HPH_2018-02-03_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-02-09_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-02-22_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-02-22_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKN_2018-03-01_final.stac-item
2018-04-03 12:13:18	ga_s2bm_ard_3-2-1_49KGQ_2018-04-03_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_50HPK_2018-04-11_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_50JKN_2018-07-29_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_50JKM_2018-08-18_final.stac-item
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JKN_2018-10-17_final.stac-item
2018-10-20 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2018-10-20_final.stac-item
2018-11-17 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2018-11-17_final.stac-item
2018-11-19 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2018-11-19_final.stac-item
2018-12-19 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2018-12-19_final.stac-item
2018-12-19 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2018-12-19_final.stac-item
2019-01-05 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-01-05_final.stac-item
2019-03-26 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-03-26_final.stac-item
2019-04-18 12:14:33	ga_s2bm_ard_3-2-1_49KGP_2019-04-18_final.stac-item
2019-04-19 11:47:01	ga_s2bm_ard_3-2-1_50HMJ_2019-04-19_final.stac-item
2019-06-04 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-04_final.stac-item
2019-06-14 12:05:08	ga_s2bm_ard_3-2-1_49JGM_2019-06-14_final.stac-item
2019-10-12 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-10-12_final.stac-item
2019-12-15 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-15_final.stac-item
2019-12-21 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2019-12-21_final.stac-item
2019-12-21 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-21_final.stac-item
2019-12-25 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2019-12-25_final.stac-item
2020-01-07 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2020-01-07_final.stac-item
2020-01-30 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2020-01-30_final.stac-item
2020-02-09 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-02-09_final.stac-item
2020-02-10 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2020-02-10_final.stac-item
2020-04-19 12:04:56	ga_s2bm_ard_3-2-1_49JGM_2020-04-19_final.stac-item
2020-05-06 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-05-06_final.stac-item
2020-06-08 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-06-08_final.stac-item
2020-07-19 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2020-07-19_final.stac-item
2020-07-29 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-07-29_final.stac-item
2020-08-01 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2020-08-01_final.stac-item
2020-08-21 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-08-21_final.stac-item
2020-08-24 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2020-08-24_final.stac-item
2020-10-10 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-10-10_final.stac-item
2020-10-13 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2020-10-13_final.stac-item
2020-10-16 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-10-16_final.stac-item
2020-11-28 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2020-11-28_final.stac-item
2020-12-02 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2020-12-02_final.stac-item
2021-01-31 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2021-01-31_final
2021-04-04 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-04-04_final.stac-item
2021-05-08 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2021-05-08_final.stac-item
2021-08-03 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-08-03_final.stac-item
2021-08-06 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-08-06_final.stac-item
2021-08-06 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-08-06_final
2021-08-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2021-08-09_final
2021-09-25 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-09-25_final.stac-item
2021-11-14 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-11-14_final.stac-item
2021-12-04 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-12-04_final.stac-item
2021-12-07 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2021-12-07_final.stac-item
2021-12-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-12-10_final.stac-item
2022-01-10 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2022-01-10_final.stac-item
2022-02-11 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2022-02-11_final.stac-item
2022-03-10 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2022-03-10_final.stac-item
2022-03-14 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2022-03-14_final.stac-item
2022-03-14 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2022-03-14_final.stac-item
2022-07-11 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2022-07-11_final.stac-item
2022-08-10 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-08-10_final.stac-item
2022-08-31 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-31_final.stac-item
2022-08-31 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2022-08-31_final.stac-item
2022-10-03 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-10-03_final.stac-item
2022-10-19 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-10-19_final.stac-item
2022-10-26 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2022-10-26_final.stac-item
2022-11-22 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2022-11-22_final.stac-item
2022-12-15 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2022-12-15_final.stac-item
2023-01-04 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2023-01-04_final.stac-item
2023-01-15 11:37:17	ga_s2bm_ard_3-2-1_50HPG_2023-01-15_final
2023-01-24 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-01-24_final.stac-item
2023-01-27 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-01-27_final.stac-item
2023-01-31 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-01-31_final.stac-item
2023-04-01 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-04-01_final
2023-04-05 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-04-05_final
2023-05-01 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-05-01_final
2023-06-03 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-06-03_final
2023-06-07 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-06-07_final
2023-06-13 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-06-13_final
2023-06-27 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-06-27_final
2023-08-12 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-08-12_final
2023-08-22 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-08-22_final
2023-09-22 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-09-22_final
2023-10-01 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-01_final
2023-11-17 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2023-11-17_final
2023-11-27 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2023-11-27_final
2023-12-23 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-12-23_final
2024-01-06 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2024-01-06_final
2024-03-02 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2024-03-02_final
2024-05-15 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2024-05-15_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