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 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2017-07-14_final.stac-item
2017-08-03 12:04:41	ga_s2bm_ard_3-2-1_49JGM_2017-08-03_final.stac-item
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KHR_2017-08-13_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HNK_2017-08-27_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_50HMH_2017-11-05_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HMH_2017-11-15_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50HLH_2017-11-18_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50HMH_2017-11-25_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50HLJ_2017-12-28_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HNH_2018-01-04_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNJ_2018-01-14_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HPJ_2018-01-14_final.stac-item
2018-02-03 11:46:07	ga_s2bm_ard_3-2-1_50HPK_2018-02-03_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-02-19_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HLJ_2018-02-26_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHM_2018-03-01_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHR_2018-03-31_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHQ_2018-04-10_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KGP_2018-04-20_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2018-04-23_final.stac-item
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_49JGL_2018-06-29_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGN_2018-07-09_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGL_2018-08-08_final.stac-item
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_50HPK_2018-08-19_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGL_2018-09-07_final.stac-item
2018-12-10 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2018-12-10_final.stac-item
2019-01-22 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-01-22_final.stac-item
2019-02-08 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-02-08_final.stac-item
2019-02-11 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-11_final.stac-item
2019-02-21 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-02-21_final.stac-item
2019-03-26 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-03-26_final.stac-item
2019-03-26 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-03-26_final.stac-item
2019-03-30 11:46:39	ga_s2bm_ard_3-2-1_50HNK_2019-03-30_final.stac-item
2019-04-09 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2019-04-09_final.stac-item
2019-04-22 11:56:57	ga_s2bm_ard_3-2-1_50HMJ_2019-04-22_final.stac-item
2019-04-22 11:57:01	ga_s2bm_ard_3-2-1_50HLJ_2019-04-22_final.stac-item
2019-04-25 12:05:27	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final.stac-item
2019-05-02 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-05-02_final.stac-item
2019-05-05 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-05-05_final.stac-item
2019-05-06 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-06_final.stac-item
2019-05-22 11:56:38	ga_s2bm_ard_3-2-1_50HNK_2019-05-22_final.stac-item
2019-05-22 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-05-22_final.stac-item
2019-05-29 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-05-29_final.stac-item
2019-06-08 11:47:03	ga_s2bm_ard_3-2-1_50HMJ_2019-06-08_final.stac-item
2019-11-11 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2019-11-11_final.stac-item
2019-12-25 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2019-12-25_final.stac-item
2020-01-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2020-01-07_final.stac-item
2020-01-10 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2020-01-10_final.stac-item
2020-01-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-01-17_final.stac-item
2020-02-09 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2020-02-09_final.stac-item
2020-03-10 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2020-03-10_final.stac-item
2020-03-21 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2020-03-21_final.stac-item
2020-03-30 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2020-03-30_final.stac-item
2020-04-03 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2020-04-03_final.stac-item
2020-04-03 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2020-04-03_final.stac-item
2020-04-03 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2020-04-03_final.stac-item
2020-04-03 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2020-04-03_final.stac-item
2020-04-23 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2020-04-23_final.stac-item
2020-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final.stac-item
2020-05-23 11:46:49	ga_s2bm_ard_3-2-1_50HMJ_2020-05-23_final.stac-item
2020-06-18 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-06-18_final.stac-item
2020-08-27 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-08-27_final.stac-item
2020-10-10 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-10-10_final.stac-item
2020-10-26 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2020-10-26_final.stac-item
2020-10-26 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2020-10-26_final.stac-item
2020-10-26 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2020-10-26_final.stac-item
2020-10-27 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2020-10-27_final.stac-item
2020-10-30 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2020-10-30_final.stac-item
2020-11-06 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2020-11-06_final.stac-item
2021-01-28 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-01-28_final
2021-02-26 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2021-02-26_final
2021-03-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-25_final.stac-item
2021-03-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-26_final.stac-item
2021-04-04 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2021-04-04_final
2021-04-18 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-04-18_final
2021-04-24 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2021-04-24_final.stac-item
2021-05-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-05-18_final.stac-item
2021-05-25 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2021-05-25_final.stac-item
2021-06-03 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2021-06-03_final.stac-item
2021-06-04 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-06-04_final
2021-06-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final.stac-item
2021-07-03 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-07-03_final.stac-item
2021-07-27 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2021-07-27_final.stac-item
2021-08-03 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-08-03_final
2021-08-12 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2021-08-12_final.stac-item
2021-08-12 12:04:48	ga_s2bm_ard_3-2-1_49JHM_2021-08-12_final.stac-item
2021-08-16 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2021-08-16_final.stac-item
2021-08-22 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2021-08-22_final.stac-item
2021-09-02 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2021-09-02_final
2021-10-24 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2021-10-24_final.stac-item
2021-11-14 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-11-14_final.stac-item
2022-02-12 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-02-12_final.stac-item
2022-12-05 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-12-05_final.stac-item
2023-01-21 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2023-01-21_final.stac-item
2023-01-21 11:57:02	ga_s2bm_ard_3-2-1_50HLH_2023-01-21_final.stac-item
2023-03-08 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2023-03-08_final
2023-04-05 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-04-05_final
2023-09-14 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-09-14_final
2023-11-04 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-11-04_final
2023-12-27 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2023-12-27_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