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
2017-07-14 12:03:48	ga_s2bm_ard_3-2-1_49KHR_2017-07-14_final.stac-item
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HPH_2017-07-18_final.stac-item
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HPK_2017-07-18_final.stac-item
2017-09-05 12:13:37	ga_s2bm_ard_3-2-1_49KGR_2017-09-05_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JMQ_2017-11-18_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HMK_2017-11-28_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_50JKP_2017-12-01_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JKP_2017-12-08_final.stac-item
2018-01-21 11:35:57	ga_s2bm_ard_3-2-1_50HQH_2018-01-21_final.stac-item
2018-02-12 12:13:14	ga_s2bm_ard_3-2-1_49KGP_2018-02-12_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLJ_2018-03-08_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HMH_2018-03-15_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JLN_2018-04-27_final.stac-item
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HPK_2018-05-24_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49KGP_2018-06-12_final.stac-item
2018-06-22 12:14:14	ga_s2bm_ard_3-2-1_49JGN_2018-06-22_final.stac-item
2018-07-12 12:13:20	ga_s2bm_ard_3-2-1_49KHR_2018-07-12_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50HLH_2018-08-15_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPJ_2018-08-19_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HQH_2018-09-11_final.stac-item
2018-11-20 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2018-11-20_final.stac-item
2019-01-02 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2019-01-02_final.stac-item
2019-01-05 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2019-01-05_final.stac-item
2019-01-25 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2019-01-25_final.stac-item
2019-02-21 11:56:21	ga_s2bm_ard_3-2-1_50JML_2019-02-21_final.stac-item
2019-04-08 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2019-04-08_final.stac-item
2019-04-09 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2019-04-09_final.stac-item
2019-04-18 12:14:00	ga_s2bm_ard_3-2-1_49KHR_2019-04-18_final.stac-item
2019-05-08 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-05-08_final.stac-item
2019-05-15 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-15_final.stac-item
2019-05-25 12:05:06	ga_s2bm_ard_3-2-1_50JKS_2019-05-25_final.stac-item
2019-06-28 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-06-28_final.stac-item
2019-07-11 11:55:36	ga_s2bm_ard_3-2-1_50JLQ_2019-07-11_final.stac-item
2019-08-27 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2019-08-27_final.stac-item
2019-10-03 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2019-10-03_final.stac-item
2019-10-15 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2019-10-15_final.stac-item
2019-12-05 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2019-12-05_final.stac-item
2019-12-18 11:56:35	ga_s2bm_ard_3-2-1_50HLK_2019-12-18_final.stac-item
2020-01-20 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2020-01-20_final.stac-item
2020-01-24 11:46:36	ga_s2bm_ard_3-2-1_50HQJ_2020-01-24_final.stac-item
2020-03-11 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2020-03-11_final.stac-item
2020-06-02 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2020-06-02_final.stac-item
2020-06-02 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2020-06-02_final.stac-item
2020-06-05 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-06-05_final.stac-item
2020-07-05 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2020-07-05_final.stac-item
2020-08-07 12:05:29	ga_s2bm_ard_3-2-1_50JKQ_2020-08-07_final.stac-item
2020-09-30 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2020-09-30_final.stac-item
2020-11-16 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2020-11-16_final.stac-item
2020-12-12 11:55:50	ga_s2bm_ard_3-2-1_50JMN_2020-12-12_final.stac-item
2021-02-10 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2021-02-10_final.stac-item
2021-02-27 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-02-27_final.stac-item
2021-02-27 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2021-02-27_final.stac-item
2021-03-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2021-03-18_final.stac-item
2021-04-07 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2021-04-07_final.stac-item
2021-05-14 12:04:47	ga_s2bm_ard_3-2-1_50JKT_2021-05-14_final.stac-item
2021-05-21 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-05-21_final.stac-item
2021-05-24 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-05-24_final.stac-item
2021-08-29 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2021-08-29_final.stac-item
2021-10-11 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-10-11_final.stac-item
2021-10-28 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-10-28_final.stac-item
2021-11-27 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2021-11-27_final.stac-item
2022-01-03 11:46:58	ga_s2bm_ard_3-2-1_50HPH_2022-01-03_final.stac-item
2022-01-06 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2022-01-06_final.stac-item
2022-01-22 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2022-01-22_final.stac-item
2022-02-21 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2022-02-21_final.stac-item
2022-03-24 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2022-03-24_final.stac-item
2022-06-15 11:56:00	ga_s2bm_ard_3-2-1_50JLN_2022-06-15_final.stac-item
2022-07-28 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-07-28_final.stac-item
2022-08-10 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2022-08-10_final.stac-item
2022-09-16 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2022-09-16_final.stac-item
2022-09-23 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2022-09-23_final.stac-item
2022-09-29 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-09-29_final.stac-item
2022-12-22 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-12-22_final.stac-item
2022-12-29 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-12-29_final.stac-item
2023-01-18 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-01-18_final.stac-item
2023-01-27 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-01-27_final.stac-item
2023-01-28 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-01-28_final.stac-item
2023-02-13 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2023-02-13_final
2023-02-23 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2023-02-23_final
2023-02-24 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2023-02-24_final
2023-03-15 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-03-15_final
2023-04-15 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2023-04-15_final
2023-05-07 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-05-07_final
2023-06-07 11:46:45	ga_s2bm_ard_3-2-1_50HMK_2023-06-07_final
2023-07-23 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-07-23_final
2023-09-08 11:54:48	ga_s2bm_ard_3-2-1_50JLT_2023-09-08_final
2023-10-11 12:04:27	ga_s2bm_ard_3-2-1_49KGP_2023-10-11_final
2023-10-25 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2023-10-25_final
2023-12-01 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2023-12-01_final
2023-12-27 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2023-12-27_final
2024-01-19 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2024-01-19_final
2024-01-23 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2024-01-23_final
2024-01-23 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2024-01-23_final
2024-02-01 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2024-02-01_final
2024-02-01 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2024-02-01_final
2024-02-02 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2024-02-02_final
2024-02-08 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2024-02-08_final
2024-02-11 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2024-02-11_final
2024-02-12 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2024-02-12_final
2024-05-09 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2024-05-09_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