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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JLN_2017-07-04_final.stac-item
2017-10-25 12:13:08	ga_s2bm_ard_3-2-1_49KGQ_2017-10-25_final.stac-item
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLH_2017-11-15_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JMM_2018-01-17_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49KHQ_2018-01-20_final.stac-item
2018-01-23 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-01-23_final.stac-item
2018-04-10 12:04:57	ga_s2bm_ard_3-2-1_50JLM_2018-04-10_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JNL_2018-04-17_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HQJ_2018-08-02_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HQK_2018-08-22_final.stac-item
2018-08-25 11:52:52	ga_s2bm_ard_3-2-1_50JKM_2018-08-25_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JML_2018-09-04_final.stac-item
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KGP_2018-09-10_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HPH_2018-09-21_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HPK_2018-09-21_final.stac-item
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49JGL_2018-09-27_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50HPH_2018-09-28_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HMH_2018-10-21_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNH_2018-10-21_final.stac-item
2018-12-23 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2018-12-23_final.stac-item
2019-01-25 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2019-01-25_final.stac-item
2019-03-06 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2019-03-06_final.stac-item
2019-03-13 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2019-03-13_final.stac-item
2019-03-13 11:56:19	ga_s2bm_ard_3-2-1_50JML_2019-03-13_final.stac-item
2019-04-12 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2019-04-12_final.stac-item
2019-06-01 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2019-06-01_final.stac-item
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final.stac-item
2019-06-08 11:46:45	ga_s2bm_ard_3-2-1_50HNK_2019-06-08_final.stac-item
2019-07-04 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2019-07-04_final.stac-item
2019-07-18 11:46:57	ga_s2bm_ard_3-2-1_50HPJ_2019-07-18_final.stac-item
2019-12-31 12:05:24	ga_s2bm_ard_3-2-1_49JGK_2019-12-31_final.stac-item
2020-01-03 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2020-01-03_final.stac-item
2020-03-14 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2020-03-14_final.stac-item
2020-04-23 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2020-04-23_final.stac-item
2020-05-26 11:56:25	ga_s2bm_ard_3-2-1_50JNL_2020-05-26_final.stac-item
2020-06-12 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2020-06-12_final.stac-item
2020-07-28 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-07-28_final.stac-item
2020-08-04 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-08-04_final.stac-item
2020-08-21 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-08-21_final.stac-item
2020-08-27 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2020-08-27_final.stac-item
2020-09-07 11:36:37	ga_s2bm_ard_3-2-1_50HQK_2020-09-07_final.stac-item
2020-11-15 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2020-11-15_final.stac-item
2020-12-12 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2020-12-12_final.stac-item
2021-01-18 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2021-01-18_final.stac-item
2021-01-21 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2021-01-21_final.stac-item
2021-03-05 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2021-03-05_final.stac-item
2021-04-04 12:04:19	ga_s2bm_ard_3-2-1_49KHP_2021-04-04_final.stac-item
2021-04-14 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2021-04-14_final.stac-item
2021-04-24 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2021-04-24_final.stac-item
2021-05-08 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2021-05-08_final.stac-item
2021-05-31 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-05-31_final.stac-item
2021-05-31 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2021-05-31_final.stac-item
2021-05-31 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2021-05-31_final.stac-item
2021-06-14 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-06-14_final.stac-item
2021-06-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2021-06-24_final.stac-item
2021-07-17 11:46:54	ga_s2bm_ard_3-2-1_50HNJ_2021-07-17_final.stac-item
2021-10-15 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-10-15_final.stac-item
2021-10-22 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-10-22_final.stac-item
2021-10-28 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2021-10-28_final
2021-11-30 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2021-11-30_final.stac-item
2021-12-03 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-12-03_final.stac-item
2021-12-21 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2021-12-21_final.stac-item
2021-12-21 11:37:16	ga_s2bm_ard_3-2-1_50HPG_2021-12-21_final
2021-12-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-12-30_final.stac-item
2022-01-26 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2022-01-26_final.stac-item
2022-02-05 11:55:47	ga_s2bm_ard_3-2-1_50JKN_2022-02-05_final.stac-item
2022-02-28 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2022-02-28_final.stac-item
2022-03-14 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2022-03-14_final.stac-item
2022-06-11 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2022-06-11_final.stac-item
2022-07-11 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2022-07-11_final.stac-item
2022-07-15 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-07-15_final.stac-item
2022-08-18 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2022-08-18_final.stac-item
2022-10-06 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2022-10-06_final.stac-item
2022-10-10 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2022-10-10_final.stac-item
2022-11-22 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2022-11-22_final.stac-item
2022-11-28 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2022-11-28_final.stac-item
2022-12-05 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-12-05_final.stac-item
2022-12-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-12-28_final.stac-item
2023-01-17 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2023-01-17_final.stac-item
2023-01-31 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2023-01-31_final.stac-item
2023-01-31 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-01-31_final.stac-item
2023-02-13 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-02-13_final
2023-02-13 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2023-02-13_final
2023-02-27 11:46:17	ga_s2bm_ard_3-2-1_50JMM_2023-02-27_final
2023-02-27 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2023-02-27_final
2023-03-15 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-03-15_final
2023-03-29 11:44:56	ga_s2bm_ard_3-2-1_50JPS_2023-03-29_final
2023-07-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-07-17_final
2023-10-21 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2023-10-21_final
2023-11-01 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-11-01_final
2023-12-03 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-12-03_final
2023-12-03 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2023-12-03_final
2023-12-10 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2023-12-10_final
2023-12-20 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2023-12-20_final
2024-01-29 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2024-01-29_final
2024-02-15 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2024-02-15_final
2024-03-02 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2024-03-02_final
2024-04-29 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2024-04-29_final
2024-05-02 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-05-02_final
2024-05-12 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2024-05-12_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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