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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_50HQH_2017-08-14_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMH_2017-10-26_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HLJ_2017-11-18_final.stac-item
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49JGM_2018-01-03_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HPH_2018-02-03_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQH_2018-02-10_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HMH_2018-04-07_final.stac-item
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HNK_2018-05-14_final.stac-item
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-22_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HPK_2018-08-12_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HLH_2018-09-21_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGJ_2018-10-27_final.stac-item
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-10-27_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HMK_2018-10-31_final.stac-item
2018-11-30 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2018-11-30_final.stac-item
2019-01-28 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-01-28_final.stac-item
2019-03-26 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-03-26_final.stac-item
2019-04-15 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2019-04-15_final.stac-item
2019-04-19 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2019-04-19_final.stac-item
2019-05-12 11:57:03	ga_s2bm_ard_3-2-1_50HLJ_2019-05-12_final.stac-item
2019-08-07 11:46:59	ga_s2bm_ard_3-2-1_50HNJ_2019-08-07_final.stac-item
2019-09-16 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-09-16_final.stac-item
2019-11-11 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-11-11_final.stac-item
2019-12-05 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2019-12-05_final.stac-item
2019-12-24 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2019-12-24_final.stac-item
2019-12-31 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-31_final.stac-item
2020-01-03 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2020-01-03_final.stac-item
2020-01-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-01-10_final.stac-item
2020-01-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2020-01-10_final.stac-item
2020-01-20 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2020-01-20_final.stac-item
2020-01-30 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2020-01-30_final.stac-item
2020-03-04 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2020-03-04_final.stac-item
2020-03-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2020-03-17_final.stac-item
2020-03-20 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-20_final.stac-item
2020-04-22 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-04-22_final.stac-item
2020-04-23 11:46:41	ga_s2bm_ard_3-2-1_50HNJ_2020-04-23_final.stac-item
2020-05-16 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2020-05-16_final.stac-item
2020-05-30 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2020-05-30_final.stac-item
2020-06-12 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2020-06-12_final.stac-item
2020-06-18 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-06-18_final.stac-item
2020-06-29 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-29_final.stac-item
2020-07-19 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2020-07-19_final.stac-item
2020-11-25 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2020-11-25_final.stac-item
2021-01-14 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2021-01-14_final.stac-item
2021-01-31 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-01-31_final.stac-item
2021-01-31 11:56:40	ga_s2bm_ard_3-2-1_50HLK_2021-01-31_final.stac-item
2021-02-17 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2021-02-17_final.stac-item
2021-03-19 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-19_final
2021-05-18 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-05-18_final.stac-item
2021-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-06-04_final.stac-item
2021-06-06 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2021-06-06_final.stac-item
2021-06-13 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2021-06-13_final.stac-item
2021-07-24 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2021-07-24_final.stac-item
2021-08-22 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-08-22_final.stac-item
2021-09-01 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2021-09-01_final.stac-item
2021-10-15 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-10-15_final.stac-item
2021-10-15 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2021-10-15_final.stac-item
2021-10-22 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-10-22_final.stac-item
2021-11-03 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2021-11-03_final.stac-item
2021-12-10 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-12-10_final.stac-item
2021-12-17 11:56:59	ga_s2bm_ard_3-2-1_50HMH_2021-12-17_final.stac-item
2022-01-02 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2022-01-02_final.stac-item
2022-01-10 11:36:34	ga_s2bm_ard_3-2-1_50HPK_2022-01-10_final.stac-item
2022-01-22 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-01-22_final.stac-item
2022-02-01 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2022-02-01_final.stac-item
2022-02-05 11:56:24	ga_s2bm_ard_3-2-1_50HNK_2022-02-05_final.stac-item
2022-02-18 12:04:50	ga_s2bm_ard_3-2-1_49JHM_2022-02-18_final.stac-item
2022-04-09 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-04-09_final.stac-item
2022-04-19 12:04:23	ga_s2bm_ard_3-2-1_49KHP_2022-04-19_final.stac-item
2022-05-20 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-05-20_final.stac-item
2022-06-18 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2022-06-18_final.stac-item
2022-07-18 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2022-07-18_final.stac-item
2022-07-22 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2022-07-22_final.stac-item
2022-08-01 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-08-01_final.stac-item
2022-08-08 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2022-08-08_final.stac-item
2022-10-26 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2022-10-26_final.stac-item
2022-11-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-11-18_final.stac-item
2023-01-18 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2023-01-18_final.stac-item
2023-03-09 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-03-09_final
2023-04-01 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-04-01_final
2023-04-18 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2023-04-18_final
2023-05-11 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2023-05-11_final
2023-05-14 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-05-14_final
2023-06-07 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-06-07_final
2023-06-13 12:05:34	ga_s2bm_ard_3-2-1_49JGK_2023-06-13_final
2023-06-17 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-06-17_final
2023-06-23 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-06-23_final
2023-06-23 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-06-23_final
2023-07-03 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2023-07-03_final
2023-07-20 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-20_final
2023-08-26 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-08-26_final
2023-10-21 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-21_final
2023-10-21 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-21_final
2023-10-22 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-10-22_final
2024-02-15 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-02-15_final
2024-02-18 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2024-02-18_final
2024-03-12 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2024-03-12_final
2024-03-23 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-03-23_final
2024-04-19 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2024-04-19_final
2024-05-12 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-05-12_interim

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