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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JKP_2017-07-11_final.stac-item
2017-07-17 12:14:11	ga_s2bm_ard_3-2-1_49JGL_2017-07-17_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JGM_2017-07-24_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_50JKP_2017-07-24_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HLH_2017-08-27_final.stac-item
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_50HQK_2017-09-03_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_50JKR_2017-09-12_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HMJ_2017-11-05_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-11-25_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMK_2018-01-04_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HNK_2018-01-04_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JHM_2018-01-10_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_50HQK_2018-01-11_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNH_2018-01-14_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMH_2018-01-24_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HMJ_2018-01-24_final.stac-item
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50JKN_2018-02-06_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HPH_2018-02-10_final.stac-item
2018-02-10 11:35:47	ga_s2bm_ard_3-2-1_50HQH_2018-02-10_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-02-19_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGN_2018-02-19_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HPJ_2018-02-23_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKQ_2018-03-01_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKR_2018-03-01_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50HLJ_2018-03-08_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JKN_2018-03-08_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JFM_2018-03-14_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_49JHM_2018-03-21_final.stac-item
2018-03-21 12:02:43	ga_s2bm_ard_3-2-1_50JKS_2018-03-21_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HNK_2018-03-28_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KGP_2018-04-10_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HQK_2018-04-14_final.stac-item
2018-04-20 12:02:48	ga_s2bm_ard_3-2-1_49KHR_2018-04-20_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHP_2018-04-20_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49KHP_2018-04-23_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPJ_2018-04-24_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGM_2018-05-30_final.stac-item
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50HPK_2018-07-23_final.stac-item
2018-07-29 12:04:59	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JKP_2018-08-05_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGL_2018-08-18_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGN_2018-08-18_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-08-28_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JKQ_2018-08-28_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HMK_2018-09-11_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JGL_2018-09-17_final.stac-item
2019-01-12 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2019-01-12_final.stac-item
2019-01-12 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2019-01-12_final.stac-item
2019-02-08 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-02-08_final.stac-item
2019-02-18 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2019-02-18_final.stac-item
2019-03-20 11:46:47	ga_s2bm_ard_3-2-1_50HMK_2019-03-20_final.stac-item
2019-03-29 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2019-03-29_final.stac-item
2019-03-30 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2019-03-30_final.stac-item
2019-04-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2019-04-02_final.stac-item
2019-04-06 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2019-04-06_final.stac-item
2019-04-22 11:56:06	ga_s2bm_ard_3-2-1_50JKN_2019-04-22_final.stac-item
2019-04-25 12:05:07	ga_s2bm_ard_3-2-1_49JGM_2019-04-25_final.stac-item
2019-05-15 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-05-15_final.stac-item
2019-05-15 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-05-15_final.stac-item
2019-05-25 12:05:05	ga_s2bm_ard_3-2-1_49JHM_2019-05-25_final.stac-item
2019-05-25 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-25_final.stac-item
2019-05-29 11:46:38	ga_s2bm_ard_3-2-1_50HQK_2019-05-29_final.stac-item
2019-06-04 12:04:54	ga_s2bm_ard_3-2-1_49JGN_2019-06-04_final.stac-item
2019-06-05 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-06-05_final.stac-item
2019-10-26 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2019-10-26_final.stac-item
2019-12-15 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2019-12-15_final.stac-item
2019-12-28 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2019-12-28_final.stac-item
2020-02-10 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2020-02-10_final.stac-item
2020-03-24 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2020-03-24_final.stac-item
2020-05-19 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-05-19_final.stac-item
2020-05-23 11:46:48	ga_s2bm_ard_3-2-1_50HMK_2020-05-23_final.stac-item
2020-10-23 11:56:58	ga_s2bm_ard_3-2-1_50HLJ_2020-10-23_final.stac-item
2020-11-09 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2020-11-09_final.stac-item
2021-03-16 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2021-03-16_final
2021-03-19 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-03-19_final.stac-item
2021-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2021-03-25_final
2021-03-29 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-03-29_final.stac-item
2021-03-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-03-29_final.stac-item
2021-04-01 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-04-01_final.stac-item
2021-04-24 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2021-04-24_final.stac-item
2021-04-25 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2021-04-25_final
2021-04-28 11:46:33	ga_s2bm_ard_3-2-1_50HNK_2021-04-28_final.stac-item
2021-04-28 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2021-04-28_final.stac-item
2021-05-17 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-05-17_final.stac-item
2021-06-26 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-26_final.stac-item
2021-06-27 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2021-06-27_final.stac-item
2021-07-07 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2021-07-07_final.stac-item
2021-07-13 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-13_final.stac-item
2021-07-23 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2021-07-23_final.stac-item
2021-08-02 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2021-08-02_final.stac-item
2021-08-03 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-08-03_final.stac-item
2021-08-12 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-08-12_final.stac-item
2021-08-12 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-08-12_final.stac-item
2021-08-22 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-08-22_final.stac-item
2021-08-22 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-08-22_final.stac-item
2021-12-07 11:56:31	ga_s2bm_ard_3-2-1_50HMK_2021-12-07_final.stac-item
2023-01-11 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-01-11_final.stac-item
2023-03-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-05_final
2023-03-06 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-03-06_final
2024-01-29 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2024-01-29_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