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
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGM_2017-07-27_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HNJ_2017-08-27_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49JGL_2017-10-12_final.stac-item
2017-11-11 12:02:35	ga_s2bm_ard_3-2-1_49KHR_2017-11-11_final.stac-item
2017-11-28 11:55:59	ga_s2bm_ard_3-2-1_50HLK_2017-11-28_final.stac-item
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49JGL_2017-12-01_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50HLH_2017-12-08_final.stac-item
2018-01-13 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-01-13_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JGL_2018-01-20_final.stac-item
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49JGL_2018-02-22_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-01_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HNK_2018-03-05_final.stac-item
2018-03-18 11:50:35	ga_s2bm_ard_3-2-1_50HMH_2018-03-18_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49KHP_2018-04-10_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2018-05-20_final.stac-item
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_50HNK_2018-06-03_final.stac-item
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGL_2018-07-09_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_49JGL_2018-07-29_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_50HNK_2018-08-12_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49JGM_2018-08-21_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHP_2018-09-17_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49KHR_2018-09-17_final.stac-item
2018-11-30 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2018-11-30_final.stac-item
2018-12-06 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2018-12-06_final.stac-item
2019-01-25 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2019-01-25_final.stac-item
2019-02-17 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-02-17_final.stac-item
2019-02-17 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-02-17_final.stac-item
2019-03-30 11:46:39	ga_s2bm_ard_3-2-1_50HNK_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
2019-04-25 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2019-04-25_final.stac-item
2019-05-09 11:46:46	ga_s2bm_ard_3-2-1_50HNK_2019-05-09_final.stac-item
2019-05-18 12:15:05	ga_s2bm_ard_3-2-1_49JGM_2019-05-18_final.stac-item
2019-05-29 11:47:04	ga_s2bm_ard_3-2-1_50HMJ_2019-05-29_final.stac-item
2019-06-04 12:04:07	ga_s2bm_ard_3-2-1_49KHR_2019-06-04_final.stac-item
2019-07-11 11:57:03	ga_s2bm_ard_3-2-1_50HLJ_2019-07-11_final.stac-item
2019-07-14 12:04:51	ga_s2bm_ard_3-2-1_49JHN_2019-07-14_final.stac-item
2019-08-07 11:46:59	ga_s2bm_ard_3-2-1_50HNJ_2019-08-07_final.stac-item
2019-10-12 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2019-10-12_final.stac-item
2019-11-08 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-11-08_final.stac-item
2019-11-21 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2019-11-21_final.stac-item
2020-01-07 11:57:04	ga_s2bm_ard_3-2-1_50HLH_2020-01-07_final.stac-item
2020-01-13 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2020-01-13_final.stac-item
2020-01-30 12:03:51	ga_s2bm_ard_3-2-1_49KHR_2020-01-30_final.stac-item
2020-02-09 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2020-02-09_final.stac-item
2020-02-16 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2020-02-16_final.stac-item
2020-03-10 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-10_final.stac-item
2020-03-14 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2020-03-14_final.stac-item
2020-03-20 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-20_final.stac-item
2020-03-24 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2020-03-24_final.stac-item
2020-04-03 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2020-04-03_final.stac-item
2020-05-26 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2020-05-26_final.stac-item
2020-06-11 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2020-06-11_final.stac-item
2020-07-22 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2020-07-22_final.stac-item
2020-08-01 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-08-01_final.stac-item
2020-10-16 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-16_final.stac-item
2020-10-26 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-26_final.stac-item
2021-01-01 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2021-01-01_final.stac-item
2021-01-24 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-01-24_final.stac-item
2021-02-23 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-23_final.stac-item
2021-03-19 11:47:09	ga_s2bm_ard_3-2-1_50HMH_2021-03-19_final.stac-item
2021-06-13 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2021-06-13_final.stac-item
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-07-03_final.stac-item
2021-07-03 12:04:49	ga_s2bm_ard_3-2-1_49JHM_2021-07-03_final.stac-item
2021-07-13 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-13_final.stac-item
2021-08-02 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2021-08-02_final.stac-item
2021-08-02 12:04:43	ga_s2bm_ard_3-2-1_49JHN_2021-08-02_final.stac-item
2021-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2021-08-15_final.stac-item
2021-09-01 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-01_final
2021-09-11 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2021-09-11_final
2021-10-31 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2021-10-31_final.stac-item
2022-02-25 11:57:01	ga_s2bm_ard_3-2-1_50HMH_2022-02-25_final.stac-item
2022-02-28 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2022-02-28_final.stac-item
2022-04-13 11:46:37	ga_s2bm_ard_3-2-1_50HMK_2022-04-13_final.stac-item
2022-04-26 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2022-04-26_final.stac-item
2022-06-28 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2022-06-28_final.stac-item
2022-09-16 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-09-16_final.stac-item
2022-12-09 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2022-12-09_final.stac-item
2023-01-11 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2023-01-11_final.stac-item
2023-01-21 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2023-01-21_final.stac-item
2023-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2023-02-17_final
2023-02-27 11:47:25	ga_s2bm_ard_3-2-1_50HMG_2023-02-27_final
2023-03-15 12:04:03	ga_s2bm_ard_3-2-1_49KHR_2023-03-15_final
2023-05-01 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2023-05-01_final
2023-06-07 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-06-07_final
2023-07-26 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-26_final
2023-08-12 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2023-08-12_final
2023-08-19 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-08-19_final
2023-09-01 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-09-01_final
2023-09-12 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2023-09-12_final
2023-09-25 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2023-09-25_final
2023-10-04 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2023-10-04_final
2023-10-11 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-11_final
2023-10-15 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2023-10-15_final
2023-10-31 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-10-31_final
2023-10-31 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-31_final
2024-01-02 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2024-01-02_final
2024-02-01 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2024-02-01_final
2024-02-25 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2024-02-25_final
2024-04-12 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2024-04-12_final
2024-04-15 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2024-04-15_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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