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_49JFM_2017-07-14_final.stac-item
2017-07-24 12:02:49	ga_s2bm_ard_3-2-1_49JHN_2017-07-24_final.stac-item
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KGP_2017-08-26_final.stac-item
2017-09-12 12:03:39	ga_s2bm_ard_3-2-1_49KHR_2017-09-12_final.stac-item
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JGM_2017-10-02_final.stac-item
2017-10-02 12:04:26	ga_s2bm_ard_3-2-1_49JHN_2017-10-02_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGM_2017-10-12_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLJ_2017-12-08_final.stac-item
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_49JHN_2017-12-31_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KGP_2018-02-19_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHP_2018-02-19_final.stac-item
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-03-04_final.stac-item
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49KGP_2018-03-04_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49KGQ_2018-03-24_final.stac-item
2018-06-12 12:13:19	ga_s2bm_ard_3-2-1_49JGN_2018-06-12_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHP_2018-07-09_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49KHR_2018-07-09_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JHN_2018-07-29_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGJ_2018-08-18_final.stac-item
2019-04-22 11:57:16	ga_s2bm_ard_3-2-1_50HLH_2019-04-22_final.stac-item
2019-04-25 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2019-04-25_final.stac-item
2019-04-25 12:05:04	ga_s2bm_ard_3-2-1_49JHM_2019-04-25_final.stac-item
2019-05-05 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-05-05_final.stac-item
2019-05-15 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-05-15_final.stac-item
2019-05-18 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2019-05-18_final.stac-item
2019-05-18 12:14:22	ga_s2bm_ard_3-2-1_49KGQ_2019-05-18_final.stac-item
2019-05-18 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-05-18_final.stac-item
2019-05-22 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-05-22_final.stac-item
2019-05-28 12:14:19	ga_s2bm_ard_3-2-1_49KHQ_2019-05-28_final.stac-item
2019-05-28 12:14:35	ga_s2bm_ard_3-2-1_49KGP_2019-05-28_final.stac-item
2019-06-11 11:57:13	ga_s2bm_ard_3-2-1_50HMH_2019-06-11_final.stac-item
2019-07-17 12:15:19	ga_s2bm_ard_3-2-1_49JGL_2019-07-17_final.stac-item
2019-11-05 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-11-05_final.stac-item
2019-11-08 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2019-11-08_final.stac-item
2019-12-28 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2019-12-28_final.stac-item
2020-01-10 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2020-01-10_final.stac-item
2020-03-10 12:05:20	ga_s2bm_ard_3-2-1_49JGK_2020-03-10_final.stac-item
2020-03-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2020-03-30_final.stac-item
2020-04-06 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-04-06_final.stac-item
2020-05-19 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-05-19_final.stac-item
2020-05-19 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2020-05-19_final.stac-item
2020-05-19 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2020-05-19_final.stac-item
2020-07-01 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-07-01_final.stac-item
2020-10-16 12:04:51	ga_s2bm_ard_3-2-1_49JHM_2020-10-16_final.stac-item
2020-10-16 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2020-10-16_final.stac-item
2020-10-19 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-10-19_final.stac-item
2020-10-19 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2020-10-19_final.stac-item
2020-10-26 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2020-10-26_final.stac-item
2020-11-05 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-11-05_final.stac-item
2020-11-05 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2020-11-05_final.stac-item
2020-11-08 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2020-11-08_final.stac-item
2021-01-04 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2021-01-04_final.stac-item
2021-01-07 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-01-07_final.stac-item
2021-01-21 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2021-01-21_final.stac-item
2021-02-23 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-02-23_final.stac-item
2021-03-08 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2021-03-08_final.stac-item
2021-03-15 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-15_final.stac-item
2021-03-22 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-03-22_final.stac-item
2021-04-04 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2021-04-04_final.stac-item
2021-05-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2021-05-07_final.stac-item
2021-05-27 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-05-27_final.stac-item
2021-05-27 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2021-05-27_final.stac-item
2021-06-06 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-06_final.stac-item
2021-06-13 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2021-06-13_final.stac-item
2021-06-20 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2021-06-20_final.stac-item
2021-06-26 12:14:09	ga_s2bm_ard_3-2-1_49KHQ_2021-06-26_final.stac-item
2021-07-10 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2021-07-10_final.stac-item
2021-07-23 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2021-07-23_final.stac-item
2021-10-15 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-10-15_final
2021-10-24 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2021-10-24_final.stac-item
2021-12-13 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2021-12-13_final.stac-item
2022-02-18 12:04:54	ga_s2bm_ard_3-2-1_49JGM_2022-02-18_final.stac-item
2022-03-13 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-03-13_final.stac-item
2022-08-17 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2022-08-17_final.stac-item
2022-11-18 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2022-11-18_final.stac-item
2022-12-12 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2022-12-12_final.stac-item
2023-02-06 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-02-06_final
2023-03-25 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-25_final
2023-04-14 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2023-04-14_final
2023-04-17 12:15:12	ga_s2bm_ard_3-2-1_49JGL_2023-04-17_final
2023-04-21 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2023-04-21_final
2023-06-03 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-06-03_final
2023-06-06 12:14:03	ga_s2bm_ard_3-2-1_49KGR_2023-06-06_final
2023-06-20 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2023-06-20_final
2023-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-07-03_final
2023-08-02 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-02_final
2023-08-25 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-08-25_final
2023-09-04 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-09-04_final
2023-10-28 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2023-10-28_final
2023-11-03 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2023-11-03_final
2023-11-13 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2023-11-13_final
2023-11-24 11:47:05	ga_s2bm_ard_3-2-1_50HMH_2023-11-24_final
2023-12-23 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-12-23_final
2024-01-02 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-01-02_final
2024-02-02 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2024-02-02_final
2024-02-18 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2024-02-18_final
2024-02-28 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2024-02-28_final
2024-03-09 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2024-03-09_final
2024-03-09 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2024-03-09_final
2024-03-19 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2024-03-19_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

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