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
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50KPC_2017-08-20_final.stac-item
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KMC_2017-10-12_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50KKU_2017-11-01_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KNB_2017-12-08_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KQC_2017-12-08_final.stac-item
2017-12-24 12:13:09	ga_s2bm_ard_3-2-1_49KGP_2017-12-24_final.stac-item
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-02-19_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JNM_2018-04-27_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50JKP_2018-09-07_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50KQC_2018-09-21_final.stac-item
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KPC_2018-10-04_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50JML_2018-10-31_final.stac-item
2018-11-20 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2018-11-20_final.stac-item
2018-12-23 11:55:16	ga_s2bm_ard_3-2-1_50JNQ_2018-12-23_final.stac-item
2019-03-13 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2019-03-13_final.stac-item
2019-04-02 11:55:52	ga_s2bm_ard_3-2-1_50JNN_2019-04-02_final.stac-item
2019-04-13 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2019-04-13_final.stac-item
2019-04-15 12:03:57	ga_s2bm_ard_3-2-1_50KMA_2019-04-15_final.stac-item
2019-05-05 12:06:15	ga_s2bm_ard_3-2-1_50JLM_2019-05-05_final.stac-item
2019-05-26 11:36:37	ga_s2bm_ard_3-2-1_51HUE_2019-05-26_final.stac-item
2019-06-04 12:05:09	ga_s2bm_ard_3-2-1_49JGM_2019-06-04_final.stac-item
2019-09-12 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-09-12_final.stac-item
2019-09-23 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2019-09-23_final.stac-item
2019-09-25 12:14:56	ga_s2bm_ard_3-2-1_49JGM_2019-09-25_final.stac-item
2019-10-12 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2019-10-12_final.stac-item
2019-10-16 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2019-10-16_final.stac-item
2019-11-21 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2019-11-21_final.stac-item
2019-11-21 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2019-11-21_final.stac-item
2019-12-01 12:04:20	ga_s2bm_ard_3-2-1_50KLU_2019-12-01_final.stac-item
2019-12-05 11:46:09	ga_s2bm_ard_3-2-1_50JQL_2019-12-05_final.stac-item
2019-12-08 11:56:05	ga_s2bm_ard_3-2-1_50JLM_2019-12-08_final.stac-item
2019-12-22 11:36:21	ga_s2bm_ard_3-2-1_50JPL_2019-12-22_final.stac-item
2020-01-08 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2020-01-08_final.stac-item
2020-02-02 12:13:47	ga_s2bm_ard_3-2-1_50KKA_2020-02-02_final.stac-item
2020-04-03 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2020-04-03_final.stac-item
2020-04-09 12:04:24	ga_s2bm_ard_3-2-1_50KKU_2020-04-09_final.stac-item
2020-04-10 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2020-04-10_final.stac-item
2020-06-09 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-06-09_final.stac-item
2020-06-12 11:43:39	ga_s2bm_ard_3-2-1_50KQB_2020-06-12_final.stac-item
2020-06-16 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2020-06-16_final.stac-item
2020-07-29 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2020-07-29_final.stac-item
2020-08-14 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2020-08-14_final.stac-item
2020-08-20 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2020-08-20_final.stac-item
2020-08-21 11:45:36	ga_s2bm_ard_3-2-1_50JQP_2020-08-21_final.stac-item
2020-09-04 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2020-09-04_final.stac-item
2020-09-13 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2020-09-13_final.stac-item
2020-09-19 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2020-09-19_final.stac-item
2020-10-03 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2020-10-03_final.stac-item
2020-10-06 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2020-10-06_final.stac-item
2020-10-06 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2020-10-06_final.stac-item
2020-11-08 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-11-08_final.stac-item
2020-11-13 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2020-11-13_final.stac-item
2020-11-22 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2020-11-22_final.stac-item
2020-11-25 12:03:59	ga_s2bm_ard_3-2-1_49KHR_2020-11-25_final.stac-item
2021-01-04 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2021-01-04_final.stac-item
2021-01-25 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2021-01-25_final.stac-item
2021-01-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-28_final
2021-02-13 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2021-02-13_final.stac-item
2021-03-02 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2021-03-02_final.stac-item
2021-03-12 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2021-03-12_final.stac-item
2021-04-01 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-04-01_final.stac-item
2021-04-04 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2021-04-04_final.stac-item
2021-04-24 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2021-04-24_final.stac-item
2021-06-10 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-06-10_final.stac-item
2021-07-07 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2021-07-07_final.stac-item
2021-07-24 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2021-07-24_final
2021-07-31 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-07-31_final.stac-item
2021-09-15 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2021-09-15_final.stac-item
2021-10-11 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2021-10-11_final.stac-item
2021-10-15 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-10-15_final.stac-item
2021-10-21 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2021-10-21_final.stac-item
2022-01-20 11:36:47	ga_s2bm_ard_3-2-1_50HPJ_2022-01-20_final.stac-item
2022-01-30 11:36:26	ga_s2bm_ard_3-2-1_51HTE_2022-01-30_final.stac-item
2022-02-08 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2022-02-08_final.stac-item
2022-02-28 12:03:16	ga_s2bm_ard_3-2-1_50KNC_2022-02-28_final.stac-item
2022-03-27 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2022-03-27_final.stac-item
2022-03-30 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2022-03-30_final.stac-item
2022-05-19 12:03:26	ga_s2bm_ard_3-2-1_50KLC_2022-05-19_final.stac-item
2022-05-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2022-05-23_final.stac-item
2022-07-02 11:46:39	ga_s2bm_ard_3-2-1_50HPK_2022-07-02_final.stac-item
2022-09-09 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2022-09-09_final.stac-item
2022-10-20 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2022-10-20_final.stac-item
2022-11-02 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2022-11-02_final.stac-item
2022-11-08 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-11-08_final.stac-item
2023-01-21 11:57:02	ga_s2bm_ard_3-2-1_50HLH_2023-01-21_final.stac-item
2023-02-03 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2023-02-03_final.stac-item
2023-03-26 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2023-03-26_final
2023-04-04 12:05:18	ga_s2bm_ard_3-2-1_49JGL_2023-04-04_final
2023-05-12 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2023-05-12_final
2023-05-27 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-05-27_final
2023-05-31 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-05-31_final
2023-07-04 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2023-07-04_final
2023-09-01 12:04:33	ga_s2bm_ard_3-2-1_50KKU_2023-09-01_final
2023-09-18 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2023-09-18_final
2023-10-02 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2023-10-02_final
2023-10-24 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2023-10-24_final
2023-12-11 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2023-12-11_final
2023-12-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-12-13_final
2024-01-26 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2024-01-26_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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