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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JKP_2017-07-11_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JFM_2017-11-24_final.stac-item
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JHN_2017-11-24_final.stac-item
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KHR_2017-12-14_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMJ_2017-12-15_final.stac-item
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_49JGL_2018-01-10_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HQK_2018-01-14_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HMJ_2018-03-05_final.stac-item
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_49JHN_2018-03-11_final.stac-item
2018-03-24 12:13:16	ga_s2bm_ard_3-2-1_49JGL_2018-03-24_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGL_2018-03-31_final.stac-item
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_49JGL_2018-04-13_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2018-04-20_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQH_2018-04-21_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HQJ_2018-04-21_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JKM_2018-04-27_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKM_2018-05-30_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50JKP_2018-07-06_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
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49JGN_2018-09-10_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HPH_2018-09-11_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HPK_2018-10-31_final.stac-item
2018-12-09 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2018-12-09_final.stac-item
2018-12-10 11:47:08	ga_s2bm_ard_3-2-1_50HLH_2018-12-10_final.stac-item
2018-12-26 12:04:42	ga_s2bm_ard_3-2-1_49JGN_2018-12-26_final.stac-item
2018-12-29 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2018-12-29_final.stac-item
2018-12-29 12:14:18	ga_s2bm_ard_3-2-1_49KHP_2018-12-29_final.stac-item
2018-12-29 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2018-12-29_final.stac-item
2018-12-30 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2018-12-30_final.stac-item
2019-01-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2019-01-06_final.stac-item
2019-01-19 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2019-01-19_final.stac-item
2019-02-08 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2019-02-08_final.stac-item
2019-02-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2019-02-18_final.stac-item
2019-03-03 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2019-03-03_final.stac-item
2019-03-10 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2019-03-10_final.stac-item
2019-03-27 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2019-03-27_final.stac-item
2019-04-16 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2019-04-16_final.stac-item
2019-04-22 11:56:06	ga_s2bm_ard_3-2-1_50JKN_2019-04-22_final.stac-item
2019-05-05 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-05_final.stac-item
2019-05-15 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-05-15_final.stac-item
2019-05-19 11:47:23	ga_s2bm_ard_3-2-1_50HLH_2019-05-19_final.stac-item
2019-05-22 11:57:00	ga_s2bm_ard_3-2-1_50HMJ_2019-05-22_final.stac-item
2019-05-22 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-05-22_final.stac-item
2019-05-25 12:05:36	ga_s2bm_ard_3-2-1_50JKQ_2019-05-25_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 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-06-04_final.stac-item
2019-06-18 11:46:51	ga_s2bm_ard_3-2-1_50HQJ_2019-06-18_final.stac-item
2019-06-21 11:56:07	ga_s2bm_ard_3-2-1_50JKN_2019-06-21_final.stac-item
2019-11-05 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2019-11-05_final.stac-item
2019-12-08 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2019-12-08_final.stac-item
2019-12-24 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2019-12-24_final.stac-item
2019-12-28 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2019-12-28_final.stac-item
2020-01-07 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2020-01-07_final.stac-item
2020-02-03 11:46:49	ga_s2bm_ard_3-2-1_50HMJ_2020-02-03_final.stac-item
2020-02-12 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-02-12_final.stac-item
2020-02-13 11:46:51	ga_s2bm_ard_3-2-1_50HMJ_2020-02-13_final.stac-item
2020-03-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2020-03-13_final.stac-item
2020-10-19 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-10-19_final.stac-item
2020-10-26 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2020-10-26_final.stac-item
2020-10-30 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2020-10-30_final.stac-item
2020-11-05 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2020-11-05_final.stac-item
2020-12-18 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2020-12-18_final.stac-item
2020-12-28 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2020-12-28_final.stac-item
2021-02-10 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2021-02-10_final.stac-item
2021-02-10 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-02-10_final.stac-item
2021-02-17 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-02-17_final.stac-item
2021-03-15 12:03:44	ga_s2bm_ard_3-2-1_49KHS_2021-03-15_final
2021-04-18 11:47:23	ga_s2bm_ard_3-2-1_50HLG_2021-04-18_final
2021-04-28 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2021-04-28_final
2021-05-14 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-05-14_final.stac-item
2021-05-31 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2021-05-31_final.stac-item
2021-06-13 12:05:27	ga_s2bm_ard_3-2-1_50JKQ_2021-06-13_final.stac-item
2021-06-23 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-06-23_final.stac-item
2021-07-03 12:04:44	ga_s2bm_ard_3-2-1_49JGN_2021-07-03_final.stac-item
2021-07-23 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2021-07-23_final.stac-item
2021-08-22 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2021-08-22_final.stac-item
2021-08-22 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2021-08-22_final.stac-item
2021-10-02 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-10-02_final.stac-item
2021-11-13 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2021-11-13_final.stac-item
2021-11-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2021-11-14_final.stac-item
2021-12-04 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2021-12-04_final.stac-item
2021-12-07 11:56:31	ga_s2bm_ard_3-2-1_50HMK_2021-12-07_final.stac-item
2022-01-23 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2022-01-23_final.stac-item
2022-02-15 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-02-15_final.stac-item
2022-02-15 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2022-02-15_final.stac-item
2022-02-25 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-02-25_final.stac-item
2022-04-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2022-04-03_final.stac-item
2022-07-11 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2022-07-11_final.stac-item
2022-08-21 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-21_final.stac-item
2022-08-27 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2022-08-27_final.stac-item
2022-08-30 12:14:22	ga_s2bm_ard_3-2-1_49KHP_2022-08-30_final.stac-item
2022-11-06 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-11-06_final.stac-item
2023-01-11 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2023-01-11_final.stac-item
2023-02-17 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-02-17_final
2023-04-24 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-04-24_final
2023-09-22 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-09-22_final
2023-12-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2023-12-14_final
2024-02-02 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2024-02-02_final
2024-02-15 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2024-02-15_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

Other products

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