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_50JMN_2017-07-11_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JLP_2017-07-31_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KMC_2017-09-02_final.stac-item
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HLH_2017-10-06_final.stac-item
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50JLL_2017-12-18_final.stac-item
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_49JHN_2018-01-20_final.stac-item
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50KNB_2018-01-30_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51JTK_2018-02-03_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KNC_2018-04-17_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HPJ_2018-05-31_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JVH_2018-07-07_final.stac-item
2018-10-20 12:13:18	ga_s2bm_ard_3-2-1_49JFM_2018-10-20_final.stac-item
2018-12-03 11:55:48	ga_s2bm_ard_3-2-1_50JMN_2018-12-03_final.stac-item
2018-12-23 11:56:18	ga_s2bm_ard_3-2-1_50JML_2018-12-23_final.stac-item
2019-01-03 11:24:49	ga_s2bm_ard_3-2-1_51JYL_2019-01-03_final.stac-item
2019-01-16 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2019-01-16_final.stac-item
2019-01-29 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2019-01-29_final.stac-item
2019-02-12 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2019-02-12_final.stac-item
2019-03-27 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2019-03-27_final.stac-item
2019-04-06 11:36:23	ga_s2bm_ard_3-2-1_50JQL_2019-04-06_final.stac-item
2019-04-16 11:33:53	ga_s2bm_ard_3-2-1_51KUR_2019-04-16_final.stac-item
2019-07-28 11:47:01	ga_s2bm_ard_3-2-1_50HNJ_2019-07-28_final.stac-item
2019-09-17 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2019-09-17_final.stac-item
2019-10-02 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-10-02_final.stac-item
2019-10-29 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2019-10-29_final.stac-item
2019-11-11 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2019-11-11_final.stac-item
2019-12-18 11:53:12	ga_s2bm_ard_3-2-1_50KQC_2019-12-18_final.stac-item
2019-12-18 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2019-12-18_final.stac-item
2019-12-22 11:35:43	ga_s2bm_ard_3-2-1_51JTH_2019-12-22_final.stac-item
2020-01-23 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2020-01-23_final.stac-item
2020-01-28 11:26:51	ga_s2bm_ard_3-2-1_51HVC_2020-01-28_final.stac-item
2020-02-13 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2020-02-13_final.stac-item
2020-03-07 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2020-03-07_final.stac-item
2020-03-10 12:05:25	ga_s2bm_ard_3-2-1_50JKQ_2020-03-10_final.stac-item
2020-04-03 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2020-04-03_final.stac-item
2020-05-13 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2020-05-13_final.stac-item
2020-05-29 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2020-05-29_final.stac-item
2020-05-30 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-05-30_final.stac-item
2020-06-12 11:42:21	ga_s2bm_ard_3-2-1_51KVB_2020-06-12_final.stac-item
2020-08-25 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2020-08-25_final.stac-item
2020-08-28 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-08-28_final.stac-item
2020-09-16 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2020-09-16_final.stac-item
2020-10-04 11:25:16	ga_s2bm_ard_3-2-1_51JWK_2020-10-04_final.stac-item
2020-10-14 11:25:42	ga_s2bm_ard_3-2-1_51JXH_2020-10-14_final.stac-item
2020-11-20 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2020-11-20_final.stac-item
2020-12-03 11:24:28	ga_s2bm_ard_3-2-1_51JWN_2020-12-03_final.stac-item
2020-12-16 11:36:16	ga_s2bm_ard_3-2-1_50JQL_2020-12-16_final.stac-item
2020-12-26 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2020-12-26_final.stac-item
2021-01-22 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2021-01-22_final.stac-item
2021-01-25 11:36:34	ga_s2bm_ard_3-2-1_50HQK_2021-01-25_final.stac-item
2021-02-01 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2021-02-01_final.stac-item
2021-02-07 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2021-02-07_final.stac-item
2021-02-17 11:43:59	ga_s2bm_ard_3-2-1_51KTQ_2021-02-17_final.stac-item
2021-02-17 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2021-02-17_final.stac-item
2021-03-22 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2021-03-22_final.stac-item
2021-04-25 11:36:55	ga_s2bm_ard_3-2-1_51HTC_2021-04-25_final.stac-item
2021-05-14 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-05-14_final.stac-item
2021-05-24 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2021-05-24_final.stac-item
2021-05-25 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2021-05-25_final.stac-item
2021-05-31 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2021-05-31_final.stac-item
2021-06-07 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2021-06-07_final.stac-item
2021-06-28 11:15:43	ga_s2bm_ard_3-2-1_51JXH_2021-06-28_final.stac-item
2021-08-02 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-08-02_final.stac-item
2021-09-14 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-09-14_final.stac-item
2021-10-15 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2021-10-15_final.stac-item
2021-11-01 11:35:17	ga_s2bm_ard_3-2-1_51JUK_2021-11-01_final.stac-item
2021-11-10 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2021-11-10_final.stac-item
2021-11-10 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2021-11-10_final.stac-item
2021-12-17 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2021-12-17_final.stac-item
2022-01-07 11:26:40	ga_s2bm_ard_3-2-1_51HVD_2022-01-07_final.stac-item
2022-01-12 12:13:50	ga_s2bm_ard_3-2-1_49KHR_2022-01-12_final.stac-item
2022-01-13 11:44:59	ga_s2bm_ard_3-2-1_50JQR_2022-01-13_final.stac-item
2022-01-19 12:03:22	ga_s2bm_ard_3-2-1_50KLC_2022-01-19_final.stac-item
2022-03-11 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2022-03-11_final.stac-item
2022-03-17 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-03-17_final.stac-item
2022-04-16 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2022-04-16_final.stac-item
2022-05-20 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2022-05-20_final.stac-item
2022-05-26 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2022-05-26_final.stac-item
2022-08-17 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2022-08-17_final.stac-item
2022-09-26 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2022-09-26_final.stac-item
2022-10-30 11:45:55	ga_s2bm_ard_3-2-1_51JTG_2022-10-30_final.stac-item
2022-11-06 11:36:45	ga_s2bm_ard_3-2-1_51HTD_2022-11-06_final.stac-item
2022-12-09 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2022-12-09_final.stac-item
2023-01-08 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2023-01-08_final.stac-item
2023-02-04 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2023-02-04_final.stac-item
2023-02-07 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2023-02-07_final
2023-04-05 11:36:55	ga_s2bm_ard_3-2-1_50HPJ_2023-04-05_final
2023-04-12 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2023-04-12_final
2023-04-18 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2023-04-18_final
2023-04-29 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2023-04-29_final
2023-05-12 11:25:18	ga_s2bm_ard_3-2-1_51JXK_2023-05-12_final
2023-05-14 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2023-05-14_final
2023-08-09 11:56:16	ga_s2bm_ard_3-2-1_50JLM_2023-08-09_final
2023-10-12 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2023-10-12_final
2023-10-28 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2023-10-28_final
2023-10-31 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2023-10-31_final
2023-11-18 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2023-11-18_final
2023-11-23 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2023-11-23_final
2024-03-17 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2024-03-17_final
2024-04-19 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2024-04-19_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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