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_50JMM_2017-07-11_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_50HNJ_2018-01-24_final.stac-item
2018-02-13 11:43:42	ga_s2bm_ard_3-2-1_50HNK_2018-02-13_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLJ_2018-04-17_final.stac-item
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2018-04-17_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKN_2018-05-30_final.stac-item
2018-06-02 12:13:22	ga_s2bm_ard_3-2-1_49JGN_2018-06-02_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JKT_2018-06-19_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLN_2018-06-26_final.stac-item
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGN_2018-07-22_final.stac-item
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_50JLT_2018-09-17_final.stac-item
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JLN_2018-11-03_final.stac-item
2018-12-26 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2018-12-26_final.stac-item
2018-12-27 11:36:42	ga_s2bm_ard_3-2-1_50HQJ_2018-12-27_final.stac-item
2019-02-04 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2019-02-04_final.stac-item
2019-03-20 11:46:50	ga_s2bm_ard_3-2-1_50HPJ_2019-03-20_final.stac-item
2019-03-26 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2019-03-26_final.stac-item
2019-04-25 12:05:58	ga_s2bm_ard_3-2-1_50JLN_2019-04-25_final.stac-item
2019-05-12 11:56:08	ga_s2bm_ard_3-2-1_50JKN_2019-05-12_final.stac-item
2019-05-15 12:06:04	ga_s2bm_ard_3-2-1_50JKN_2019-05-15_final.stac-item
2019-06-11 11:54:48	ga_s2bm_ard_3-2-1_50JMT_2019-06-11_final.stac-item
2019-06-14 12:05:27	ga_s2bm_ard_3-2-1_49JGL_2019-06-14_final.stac-item
2019-06-24 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-06-24_final.stac-item
2019-08-06 12:15:07	ga_s2bm_ard_3-2-1_49JFM_2019-08-06_final.stac-item
2019-08-07 11:46:55	ga_s2bm_ard_3-2-1_50HPJ_2019-08-07_final.stac-item
2019-08-17 11:47:24	ga_s2bm_ard_3-2-1_50HLH_2019-08-17_final.stac-item
2019-09-13 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2019-09-13_final.stac-item
2019-09-19 11:54:51	ga_s2bm_ard_3-2-1_50JNS_2019-09-19_final.stac-item
2019-09-26 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2019-09-26_final.stac-item
2019-10-03 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2019-10-03_final.stac-item
2019-10-19 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2019-10-19_final.stac-item
2019-12-24 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2019-12-24_final.stac-item
2020-02-06 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2020-02-06_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 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2020-03-20_final.stac-item
2020-03-20 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2020-03-20_final.stac-item
2020-04-09 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2020-04-09_final.stac-item
2020-04-30 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2020-04-30_final.stac-item
2020-06-08 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2020-06-08_final.stac-item
2020-06-28 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-06-28_final.stac-item
2020-07-02 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-07-02_final.stac-item
2020-08-27 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2020-08-27_final.stac-item
2020-09-06 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2020-09-06_final.stac-item
2020-09-30 11:46:29	ga_s2bm_ard_3-2-1_50JML_2020-09-30_final.stac-item
2020-10-10 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2020-10-10_final.stac-item
2020-11-29 11:46:40	ga_s2bm_ard_3-2-1_50HMK_2020-11-29_final.stac-item
2020-12-09 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2020-12-09_final.stac-item
2021-01-01 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2021-01-01_final.stac-item
2021-01-05 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-01-05_final.stac-item
2021-03-02 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-03-02_final.stac-item
2021-04-05 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2021-04-05_final.stac-item
2021-05-11 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2021-05-11_final.stac-item
2021-05-25 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-05-25_final.stac-item
2021-06-24 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2021-06-24_final.stac-item
2021-07-24 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2021-07-24_final.stac-item
2021-07-26 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2021-07-26_final.stac-item
2021-08-06 11:47:18	ga_s2bm_ard_3-2-1_50HPG_2021-08-06_final
2021-09-05 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2021-09-05_final.stac-item
2021-09-21 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-09-21_final.stac-item
2021-10-18 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-10-18_final.stac-item
2021-12-24 11:46:08	ga_s2bm_ard_3-2-1_50JMM_2021-12-24_final.stac-item
2022-01-13 11:46:04	ga_s2bm_ard_3-2-1_50JNM_2022-01-13_final.stac-item
2022-01-19 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2022-01-19_final.stac-item
2022-02-05 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2022-02-05_final.stac-item
2022-03-07 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2022-03-07_final.stac-item
2022-03-14 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2022-03-14_final.stac-item
2022-03-24 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2022-03-24_final.stac-item
2022-03-30 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2022-03-30_final.stac-item
2022-04-23 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2022-04-23_final.stac-item
2022-05-13 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2022-05-13_final.stac-item
2022-06-08 12:05:13	ga_s2bm_ard_3-2-1_50JKR_2022-06-08_final.stac-item
2022-06-15 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2022-06-15_final.stac-item
2022-07-02 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2022-07-02_final.stac-item
2022-07-05 11:56:01	ga_s2bm_ard_3-2-1_50JLN_2022-07-05_final.stac-item
2022-08-14 11:56:54	ga_s2bm_ard_3-2-1_50HMJ_2022-08-14_final.stac-item
2022-09-30 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-09-30_final.stac-item
2022-11-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-11-05_final.stac-item
2023-01-11 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2023-01-11_final.stac-item
2023-01-18 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2023-01-18_final.stac-item
2023-01-31 11:56:13	ga_s2bm_ard_3-2-1_50JML_2023-01-31_final.stac-item
2023-03-29 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-03-29_final
2023-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-07-03_final
2023-07-13 12:04:32	ga_s2bm_ard_3-2-1_49KHP_2023-07-13_final
2023-09-08 11:55:54	ga_s2bm_ard_3-2-1_50JNN_2023-09-08_final
2023-09-12 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2023-09-12_final
2023-09-18 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2023-09-18_final
2023-09-22 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2023-09-22_final
2023-09-22 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-09-22_final
2023-10-04 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2023-10-04_final
2023-10-21 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-21_final
2023-10-31 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-10-31_final
2023-10-31 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2023-10-31_final
2023-11-13 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-11-13_final
2023-11-23 12:14:22	ga_s2bm_ard_3-2-1_49KGP_2023-11-23_final
2023-12-03 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-12-03_final
2024-01-02 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2024-01-02_final
2024-01-23 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2024-01-23_final
2024-02-08 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2024-02-08_final
2024-02-21 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-02-21_final
2024-04-28 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2024-04-28_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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