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_50HMH_2017-08-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPK_2017-08-27_final.stac-item
2017-09-05 12:13:37	ga_s2bm_ard_3-2-1_49KGR_2017-09-05_final.stac-item
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KGP_2017-11-04_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHQ_2017-11-11_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_49KGP_2017-11-21_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49KHR_2017-12-11_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGM_2018-03-04_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGN_2018-03-04_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGP_2018-03-24_final.stac-item
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49KGQ_2018-10-10_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNH_2018-10-21_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49KGR_2018-10-30_final.stac-item
2018-12-06 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2018-12-06_final.stac-item
2018-12-10 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2018-12-10_final.stac-item
2018-12-20 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2018-12-20_final.stac-item
2018-12-27 11:37:03	ga_s2bm_ard_3-2-1_50HPH_2018-12-27_final.stac-item
2019-01-25 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2019-01-25_final.stac-item
2019-02-14 12:04:18	ga_s2bm_ard_3-2-1_49KGQ_2019-02-14_final.stac-item
2019-06-01 11:56:59	ga_s2bm_ard_3-2-1_50HMJ_2019-06-01_final.stac-item
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final.stac-item
2019-06-28 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-06-28_final.stac-item
2019-07-08 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-07-08_final.stac-item
2019-08-23 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2019-08-23_final.stac-item
2019-10-05 12:14:14	ga_s2bm_ard_3-2-1_49KGQ_2019-10-05_final.stac-item
2019-11-11 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2019-11-11_final.stac-item
2019-11-11 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-11-11_final.stac-item
2019-11-14 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-11-14_final.stac-item
2019-11-21 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2019-11-21_final.stac-item
2020-01-03 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-01-03_final.stac-item
2020-01-13 12:14:54	ga_s2bm_ard_3-2-1_49JFM_2020-01-13_final.stac-item
2020-01-23 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2020-01-23_final.stac-item
2020-03-03 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2020-03-03_final.stac-item
2020-03-03 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2020-03-03_final.stac-item
2020-03-24 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2020-03-24_final.stac-item
2020-04-12 12:14:27	ga_s2bm_ard_3-2-1_49JHN_2020-04-12_final.stac-item
2020-06-05 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-06-05_final.stac-item
2020-06-12 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-06-12_final.stac-item
2020-06-25 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2020-06-25_final.stac-item
2020-06-29 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2020-06-29_final.stac-item
2020-08-17 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-08-17_final.stac-item
2020-08-20 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-08-20_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 12:04:10	ga_s2bm_ard_3-2-1_49KHR_2020-08-27_final.stac-item
2020-08-27 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-08-27_final.stac-item
2020-09-26 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-09-26_final.stac-item
2020-09-26 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-09-26_final.stac-item
2020-09-29 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2020-09-29_final.stac-item
2020-10-16 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2020-10-16_final.stac-item
2020-10-16 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2020-10-16_final.stac-item
2020-10-16 12:04:24	ga_s2bm_ard_3-2-1_49KHQ_2020-10-16_final.stac-item
2020-10-16 12:04:26	ga_s2bm_ard_3-2-1_49KGQ_2020-10-16_final.stac-item
2020-10-16 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-10-16_final.stac-item
2020-10-17 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2020-10-17_final.stac-item
2020-10-26 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2020-10-26_final.stac-item
2020-11-22 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2020-11-22_final.stac-item
2020-11-29 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2020-11-29_final.stac-item
2021-01-07 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2021-01-07_final.stac-item
2021-01-24 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2021-01-24_final.stac-item
2021-02-13 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-02-13_final.stac-item
2021-02-13 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-02-13_final.stac-item
2021-02-23 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2021-02-23_final.stac-item
2021-02-26 12:14:30	ga_s2bm_ard_3-2-1_49JGN_2021-02-26_final.stac-item
2021-02-26 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-02-26_final.stac-item
2021-03-15 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2021-03-15_final.stac-item
2021-03-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2021-03-18_final.stac-item
2021-03-29 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2021-03-29_final
2021-04-17 12:14:08	ga_s2bm_ard_3-2-1_49KGQ_2021-04-17_final.stac-item
2021-05-17 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-05-17_final.stac-item
2021-06-13 12:04:48	ga_s2bm_ard_3-2-1_49JHM_2021-06-13_final.stac-item
2021-06-23 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2021-06-23_final
2021-07-07 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2021-07-07_final.stac-item
2021-07-10 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-07-10_final.stac-item
2021-07-24 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2021-07-24_final
2021-08-03 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-08-03_final
2021-08-06 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-08-06_final.stac-item
2021-08-06 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2021-08-06_final.stac-item
2021-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final.stac-item
2021-08-15 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-08-15_final.stac-item
2021-09-14 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2021-09-14_final.stac-item
2021-10-15 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-10-15_final
2021-10-21 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2021-10-21_final.stac-item
2022-01-02 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2022-01-02_final.stac-item
2022-01-02 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2022-01-02_final.stac-item
2022-07-12 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-07-12_final.stac-item
2022-07-12 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-07-12_final.stac-item
2022-10-10 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2022-10-10_final.stac-item
2022-10-20 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-10-20_final.stac-item
2022-11-25 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-11-25_final.stac-item
2022-12-19 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2022-12-19_final.stac-item
2022-12-29 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-12-29_final.stac-item
2023-02-04 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2023-02-04_final.stac-item
2023-02-13 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2023-02-13_final
2023-02-14 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2023-02-14_final
2023-03-29 11:47:31	ga_s2bm_ard_3-2-1_50HLG_2023-03-29_final
2023-05-08 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2023-05-08_final
2023-06-17 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-06-17_final
2023-08-16 11:47:26	ga_s2bm_ard_3-2-1_50HNG_2023-08-16_final
2023-08-26 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2023-08-26_final
2023-12-01 11:37:23	ga_s2bm_ard_3-2-1_50HNG_2023-12-01_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