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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPK_2017-08-27_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JGM_2017-09-12_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_50KKB_2018-01-23_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLJ_2018-02-26_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JNL_2018-03-25_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HNJ_2018-04-14_final.stac-item
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_50KKV_2018-06-02_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HPH_2018-06-30_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HPH_2018-07-03_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_50KKB_2018-07-09_final.stac-item
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50HQJ_2018-07-13_final.stac-item
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_49JGM_2018-07-19_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HNH_2018-10-31_final.stac-item
2018-11-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-11-26_final.stac-item
2018-12-03 11:56:03	ga_s2bm_ard_3-2-1_50JMM_2018-12-03_final.stac-item
2018-12-26 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2018-12-26_final.stac-item
2019-01-12 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2019-01-12_final.stac-item
2019-03-27 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-03-27_final.stac-item
2019-05-12 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-05-12_final.stac-item
2019-07-11 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-07-11_final.stac-item
2019-09-22 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2019-09-22_final.stac-item
2019-11-02 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2019-11-02_final.stac-item
2019-11-04 12:14:13	ga_s2bm_ard_3-2-1_49KGQ_2019-11-04_final.stac-item
2019-11-18 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2019-11-18_final.stac-item
2019-12-28 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-28_final.stac-item
2020-03-07 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-03-07_final.stac-item
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-30_final.stac-item
2020-04-23 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2020-04-23_final.stac-item
2020-05-06 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2020-05-06_final.stac-item
2020-05-26 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2020-05-26_final.stac-item
2020-07-21 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2020-07-21_final.stac-item
2020-07-29 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-07-29_final.stac-item
2020-08-21 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-08-21_final.stac-item
2020-08-27 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2020-08-27_final.stac-item
2020-09-26 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-09-26_final.stac-item
2020-09-30 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2020-09-30_final.stac-item
2020-10-10 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2020-10-10_final.stac-item
2020-10-27 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-10-27_final.stac-item
2021-04-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-04-04_final.stac-item
2021-04-08 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2021-04-08_final.stac-item
2021-05-04 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2021-05-04_final.stac-item
2021-05-14 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-05-14_final.stac-item
2021-06-27 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-06-27_final.stac-item
2021-06-30 11:53:32	ga_s2bm_ard_3-2-1_50KMC_2021-06-30_final.stac-item
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_50JKT_2021-07-03_final.stac-item
2021-07-06 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2021-07-06_final.stac-item
2021-07-07 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-07_final.stac-item
2021-07-10 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2021-07-10_final.stac-item
2021-07-24 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2021-07-24_final.stac-item
2021-10-22 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-10-22_final.stac-item
2021-10-28 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2021-10-28_final.stac-item
2021-11-30 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2021-11-30_final.stac-item
2021-12-01 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2021-12-01_final.stac-item
2021-12-17 11:56:01	ga_s2bm_ard_3-2-1_50JMM_2021-12-17_final.stac-item
2021-12-20 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2021-12-20_final.stac-item
2021-12-27 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2021-12-27_final.stac-item
2022-01-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-01-09_final.stac-item
2022-02-25 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-02-25_final.stac-item
2022-03-20 12:03:39	ga_s2bm_ard_3-2-1_50KMA_2022-03-20_final.stac-item
2022-03-31 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2022-03-31_final.stac-item
2022-04-29 12:03:52	ga_s2bm_ard_3-2-1_50KKA_2022-04-29_final.stac-item
2022-05-13 11:46:24	ga_s2bm_ard_3-2-1_50JML_2022-05-13_final.stac-item
2022-06-18 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2022-06-18_final.stac-item
2022-06-28 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-06-28_final.stac-item
2022-06-29 11:37:12	ga_s2bm_ard_3-2-1_50HPH_2022-06-29_final.stac-item
2022-07-01 12:13:45	ga_s2bm_ard_3-2-1_50KKB_2022-07-01_final.stac-item
2022-07-01 12:15:25	ga_s2bm_ard_3-2-1_49JGK_2022-07-01_final.stac-item
2022-07-15 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-07-15_final.stac-item
2022-07-18 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2022-07-18_final.stac-item
2022-07-18 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2022-07-18_final.stac-item
2022-07-28 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2022-07-28_final.stac-item
2022-08-31 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2022-08-31_final.stac-item
2022-09-13 11:56:24	ga_s2bm_ard_3-2-1_50JML_2022-09-13_final.stac-item
2022-10-07 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-10-07_final.stac-item
2022-10-26 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-26_final.stac-item
2022-10-26 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2022-10-26_final.stac-item
2022-10-30 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2022-10-30_final.stac-item
2022-11-05 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2022-11-05_final.stac-item
2022-11-15 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2022-11-15_final.stac-item
2022-11-22 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-11-22_final.stac-item
2023-01-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-01-04_final.stac-item
2023-01-21 11:56:16	ga_s2bm_ard_3-2-1_50JNL_2023-01-21_final.stac-item
2023-01-21 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2023-01-21_final.stac-item
2023-02-23 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2023-02-23_final
2023-04-11 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-04-11_final
2023-04-15 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2023-04-15_final
2023-05-04 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2023-05-04_final
2023-05-04 12:04:36	ga_s2bm_ard_3-2-1_50KKU_2023-05-04_final
2023-05-08 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-05-08_final
2023-08-03 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-03_final
2023-09-05 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-09-05_final
2023-09-18 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2023-09-18_final
2024-01-10 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2024-01-10_final
2024-01-13 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2024-01-13_final
2024-01-19 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2024-01-19_final
2024-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2024-02-15_final
2024-02-18 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2024-02-18_final
2024-03-19 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2024-03-19_final
2024-04-21 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2024-04-21_final
2024-04-29 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2024-04-29_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

All years