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
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KTU_2017-10-06_final.stac-item
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KVB_2017-10-26_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KVB_2017-11-05_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KVQ_2017-12-02_final.stac-item
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVA_2017-12-05_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KUT_2018-03-02_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50KRD_2018-04-04_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2018-04-10_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPJ_2018-08-22_final.stac-item
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HNH_2018-10-21_final.stac-item
2018-11-20 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2018-11-20_final.stac-item
2018-12-11 11:16:34	ga_s2bm_ard_3-2-1_51HXD_2018-12-11_final.stac-item
2019-01-08 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2019-01-08_final.stac-item
2019-01-29 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2019-01-29_final.stac-item
2019-03-10 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2019-03-10_final.stac-item
2019-03-24 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2019-03-24_final.stac-item
2019-04-05 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2019-04-05_final.stac-item
2019-04-15 12:05:49	ga_s2bm_ard_3-2-1_49JGJ_2019-04-15_final.stac-item
2019-05-09 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-05-09_final.stac-item
2019-10-12 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2019-10-12_final.stac-item
2019-11-18 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2019-11-18_final.stac-item
2019-11-22 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2019-11-22_final.stac-item
2019-11-22 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2019-11-22_final.stac-item
2019-12-25 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2019-12-25_final.stac-item
2020-01-01 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2020-01-01_final.stac-item
2020-01-04 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2020-01-04_final.stac-item
2020-01-14 11:44:10	ga_s2bm_ard_3-2-1_51KTP_2020-01-14_final.stac-item
2020-01-17 11:56:45	ga_s2bm_ard_3-2-1_50HMJ_2020-01-17_final.stac-item
2020-01-17 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2020-01-17_final.stac-item
2020-01-24 11:44:20	ga_s2bm_ard_3-2-1_51JUN_2020-01-24_final.stac-item
2020-03-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2020-03-04_final.stac-item
2020-03-20 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-20_final.stac-item
2020-03-27 11:52:35	ga_s2bm_ard_3-2-1_50KPF_2020-03-27_final
2020-04-06 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2020-04-06_final.stac-item
2020-04-30 11:36:44	ga_s2bm_ard_3-2-1_50HQJ_2020-04-30_final.stac-item
2020-05-03 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2020-05-03_final.stac-item
2020-05-24 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2020-05-24_final.stac-item
2020-07-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-07-28_final.stac-item
2020-09-07 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-09-07_final.stac-item
2020-10-10 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-10-10_final.stac-item
2020-10-20 11:44:31	ga_s2bm_ard_3-2-1_51JUN_2020-10-20_final.stac-item
2020-10-27 11:34:40	ga_s2bm_ard_3-2-1_50JRT_2020-10-27_final.stac-item
2020-11-02 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-11-02_final
2020-11-09 11:44:18	ga_s2bm_ard_3-2-1_50KRU_2020-11-09_final.stac-item
2020-11-09 11:44:18	ga_s2bm_ard_3-2-1_51KTP_2020-11-09_final.stac-item
2020-11-29 11:44:16	ga_s2bm_ard_3-2-1_51KTP_2020-11-29_final.stac-item
2020-12-13 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2020-12-13_final.stac-item
2020-12-16 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2020-12-16_final.stac-item
2020-12-19 11:42:23	ga_s2bm_ard_3-2-1_51KVA_2020-12-19_final.stac-item
2021-02-27 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2021-02-27_final.stac-item
2021-03-09 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-03-09_final.stac-item
2021-03-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-03-12_final.stac-item
2021-04-15 11:36:53	ga_s2bm_ard_3-2-1_51HUC_2021-04-15_final.stac-item
2021-04-15 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-04-15_final.stac-item
2021-05-28 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2021-05-28_final.stac-item
2021-05-31 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2021-05-31_final.stac-item
2021-07-10 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2021-07-10_final.stac-item
2021-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-10-08_final.stac-item
2021-10-12 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-10-12_final.stac-item
2021-11-24 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2021-11-24_final.stac-item
2021-11-24 11:43:32	ga_s2bm_ard_3-2-1_51KVR_2021-11-24_final.stac-item
2022-01-03 11:43:39	ga_s2bm_ard_3-2-1_51KUR_2022-01-03_final.stac-item
2022-01-10 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2022-01-10_final.stac-item
2022-01-13 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2022-01-13_final.stac-item
2022-02-11 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-02-11_final.stac-item
2022-02-12 11:43:27	ga_s2bm_ard_3-2-1_50KRB_2022-02-12_final.stac-item
2022-05-26 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2022-05-26_final.stac-item
2022-06-22 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2022-06-22_final.stac-item
2022-07-05 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2022-07-05_final.stac-item
2022-07-08 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-07-08_final.stac-item
2022-10-04 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2022-10-04_final.stac-item
2022-10-10 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-10-10_final.stac-item
2022-10-16 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-10-16_final.stac-item
2022-11-06 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2022-11-06_final.stac-item
2022-11-29 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-11-29_final.stac-item
2022-12-10 11:15:18	ga_s2bm_ard_3-2-1_51JYJ_2022-12-10_final.stac-item
2022-12-25 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2022-12-25_final.stac-item
2022-12-26 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2022-12-26_final.stac-item
2023-01-02 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-01-02_final.stac-item
2023-01-18 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2023-01-18_final.stac-item
2023-01-25 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2023-01-25_final.stac-item
2023-02-11 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-02-11_final
2023-02-27 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2023-02-27_final
2023-03-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-03-05_final
2023-03-12 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2023-03-12_final
2023-04-05 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-04-05_final
2023-04-14 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2023-04-14_final
2023-05-04 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-05-04_final
2023-06-07 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-06-07_final
2023-07-07 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-07-07_final
2023-08-06 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-08-06_final
2023-11-14 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2023-11-14_final
2023-11-21 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-11-21_final
2023-11-23 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2023-11-23_final
2023-11-24 11:44:05	ga_s2bm_ard_3-2-1_50KPV_2023-11-24_final
2023-11-27 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2023-11-27_final
2023-12-31 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-12-31_final
2024-03-19 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2024-03-19_final
2024-05-22 11:43:11	ga_s2bm_ard_3-2-1_50KRC_2024-05-22_nrt

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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