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_49JGM_2017-07-14_final.stac-item
2017-08-23 12:04:38	ga_s2bm_ard_3-2-1_49JGL_2017-08-23_final.stac-item
2017-08-30 11:56:02	ga_s2bm_ard_3-2-1_50HMK_2017-08-30_final.stac-item
2017-09-12 12:04:33	ga_s2bm_ard_3-2-1_49JHM_2017-09-12_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HMJ_2017-10-06_final.stac-item
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGM_2017-12-11_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KGQ_2017-12-14_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49KHR_2017-12-21_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HNH_2018-01-04_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-01-13_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGK_2018-02-19_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-01_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49KHR_2018-03-11_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KGP_2018-03-31_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49KHP_2018-03-31_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHM_2018-04-10_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2018-04-10_final.stac-item
2018-04-23 12:13:20	ga_s2bm_ard_3-2-1_49JGN_2018-04-23_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGM_2018-06-19_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGL_2018-07-09_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50HMJ_2018-07-16_final.stac-item
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGL_2018-08-08_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGL_2018-08-21_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGM_2018-09-07_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNH_2018-10-21_final.stac-item
2018-12-06 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2018-12-06_final.stac-item
2018-12-09 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2018-12-09_final.stac-item
2019-01-08 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2019-01-08_final.stac-item
2019-01-12 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2019-01-12_final.stac-item
2019-01-15 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2019-01-15_final.stac-item
2019-02-01 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-02-01_final.stac-item
2019-03-23 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-03-23_final.stac-item
2019-03-30 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2019-03-30_final.stac-item
2019-03-30 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2019-03-30_final.stac-item
2019-04-05 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2019-04-05_final.stac-item
2019-04-19 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2019-04-19_final.stac-item
2019-05-18 12:15:05	ga_s2bm_ard_3-2-1_49JGM_2019-05-18_final.stac-item
2019-05-22 11:56:49	ga_s2bm_ard_3-2-1_50HLK_2019-05-22_final.stac-item
2019-06-04 12:04:50	ga_s2bm_ard_3-2-1_49JHN_2019-06-04_final.stac-item
2019-08-23 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2019-08-23_final.stac-item
2019-10-09 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2019-10-09_final.stac-item
2019-10-09 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2019-10-09_final.stac-item
2019-11-08 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-11-08_final.stac-item
2019-11-24 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2019-11-24_final.stac-item
2020-01-10 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2020-01-10_final.stac-item
2020-01-10 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2020-01-10_final.stac-item
2020-02-26 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-02-26_final.stac-item
2020-03-20 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-03-20_final.stac-item
2020-03-24 11:46:46	ga_s2bm_ard_3-2-1_50HMJ_2020-03-24_final.stac-item
2020-03-24 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-03-24_final.stac-item
2020-03-27 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2020-03-27_final.stac-item
2020-04-23 11:46:50	ga_s2bm_ard_3-2-1_50HMJ_2020-04-23_final.stac-item
2020-05-09 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-05-09_final.stac-item
2020-08-27 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-08-27_final.stac-item
2020-10-10 11:47:13	ga_s2bm_ard_3-2-1_50HMH_2020-10-10_final.stac-item
2020-10-19 12:14:31	ga_s2bm_ard_3-2-1_49KGP_2020-10-19_final.stac-item
2020-10-30 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-10-30_final.stac-item
2020-11-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-11-05_final.stac-item
2020-11-05 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2020-11-05_final.stac-item
2020-11-22 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2020-11-22_final.stac-item
2020-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2020-11-25_final.stac-item
2020-11-28 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2020-11-28_final.stac-item
2020-12-05 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2020-12-05_final.stac-item
2020-12-28 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2020-12-28_final.stac-item
2021-01-27 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2021-01-27_final.stac-item
2021-02-26 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-26_final.stac-item
2021-03-05 12:03:43	ga_s2bm_ard_3-2-1_49KHS_2021-03-05_final
2021-03-05 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2021-03-05_final.stac-item
2021-03-12 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-03-12_final.stac-item
2021-05-08 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2021-05-08_final.stac-item
2021-06-03 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-06-03_final.stac-item
2021-06-13 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final.stac-item
2021-06-16 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-16_final.stac-item
2021-07-13 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-13_final.stac-item
2021-07-27 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2021-07-27_final.stac-item
2021-07-30 11:56:38	ga_s2bm_ard_3-2-1_50HMK_2021-07-30_final.stac-item
2021-08-02 12:05:16	ga_s2bm_ard_3-2-1_49JGL_2021-08-02_final.stac-item
2021-08-09 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-08-09_final.stac-item
2021-08-12 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-08-12_final.stac-item
2021-08-15 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final.stac-item
2021-08-16 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2021-08-16_final.stac-item
2021-08-22 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2021-08-22_final.stac-item
2021-11-23 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2021-11-23_final.stac-item
2022-01-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2022-01-16_final.stac-item
2022-04-09 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2022-04-09_final.stac-item
2022-05-23 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-05-23_final.stac-item
2022-10-20 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-10-20_final.stac-item
2022-10-29 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-10-29_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 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-01-21_final.stac-item
2023-03-25 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2023-03-25_final
2023-05-24 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-05-24_final
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final
2023-08-05 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2023-08-05_final
2023-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-08-15_final
2023-10-28 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2023-10-28_final
2023-11-27 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-11-27_final
2023-12-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-12-14_final
2024-01-02 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-01-02_final
2024-01-06 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2024-01-06_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

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