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
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52KEF_2017-11-16_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KYS_2017-12-29_final.stac-item
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51JUN_2018-01-24_final.stac-item
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_51HXD_2018-02-04_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JKN_2018-02-26_final.stac-item
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_52KBU_2018-04-18_final.stac-item
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_52KDF_2018-06-07_final.stac-item
2018-06-21 11:03:15	ga_s2bm_ard_3-2-1_52JER_2018-06-21_final.stac-item
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50JLP_2018-07-16_final.stac-item
2018-08-23 11:12:48	ga_s2bm_ard_3-2-1_52JBM_2018-08-23_final.stac-item
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_52KCD_2018-08-26_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HQK_2018-08-29_final.stac-item
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HNH_2018-09-01_final.stac-item
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52KDV_2018-10-19_final.stac-item
2018-11-06 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2018-11-06_final.stac-item
2018-12-11 11:13:51	ga_s2bm_ard_3-2-1_52KEU_2018-12-11_final.stac-item
2019-01-06 11:35:02	ga_s2bm_ard_3-2-1_51JTL_2019-01-06_final.stac-item
2019-01-30 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2019-01-30_final.stac-item
2019-04-29 11:46:37	ga_s2bm_ard_3-2-1_50HQK_2019-04-29_final.stac-item
2019-07-25 11:33:53	ga_s2bm_ard_3-2-1_51KVR_2019-07-25_final.stac-item
2019-08-27 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2019-08-27_final.stac-item
2019-09-30 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2019-09-30_final.stac-item
2019-10-30 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2019-10-30_final.stac-item
2019-12-16 11:13:20	ga_s2bm_ard_3-2-1_52KBB_2019-12-16_final.stac-item
2019-12-16 11:15:27	ga_s2bm_ard_3-2-1_52JCN_2019-12-16_final.stac-item
2019-12-25 11:44:22	ga_s2bm_ard_3-2-1_50KQU_2019-12-25_final.stac-item
2020-01-05 11:14:12	ga_s2bm_ard_3-2-1_52JDT_2020-01-05_final.stac-item
2020-01-05 11:14:18	ga_s2bm_ard_3-2-1_52JBT_2020-01-05_final.stac-item
2020-01-21 11:32:13	ga_s2bm_ard_3-2-1_51KVB_2020-01-21_final.stac-item
2020-01-21 11:33:02	ga_s2bm_ard_3-2-1_51KXT_2020-01-21_final.stac-item
2020-01-24 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2020-01-24_final.stac-item
2020-03-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2020-03-13_final.stac-item
2020-04-19 12:05:47	ga_s2bm_ard_3-2-1_50JLN_2020-04-19_final.stac-item
2020-04-19 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2020-04-19_final.stac-item
2020-06-13 11:14:19	ga_s2bm_ard_3-2-1_52JDT_2020-06-13_final.stac-item
2020-06-26 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2020-06-26_final.stac-item
2020-09-01 11:14:12	ga_s2bm_ard_3-2-1_51KZP_2020-09-01_final.stac-item
2020-09-06 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2020-09-06_final.stac-item
2020-09-07 11:34:40	ga_s2bm_ard_3-2-1_50JRT_2020-09-07_final.stac-item
2020-09-18 11:05:36	ga_s2bm_ard_3-2-1_52JDN_2020-09-18_final.stac-item
2020-10-01 11:13:29	ga_s2bm_ard_3-2-1_52KBB_2020-10-01_final.stac-item
2020-10-26 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-10-26_final.stac-item
2020-11-20 11:12:29	ga_s2bm_ard_3-2-1_52KFE_2020-11-20_final.stac-item
2020-12-09 11:44:00	ga_s2bm_ard_3-2-1_50KRV_2020-12-09_final.stac-item
2020-12-19 11:44:12	ga_s2bm_ard_3-2-1_50KRU_2020-12-19_final.stac-item
2020-12-26 11:31:46	ga_s2bm_ard_3-2-1_51LZC_2020-12-26_final.stac-item
2021-02-04 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-02-04_final.stac-item
2021-02-05 11:02:11	ga_s2bm_ard_3-2-1_52KHF_2021-02-05_final.stac-item
2021-02-07 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2021-02-07_final.stac-item
2021-02-14 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2021-02-14_final.stac-item
2021-05-14 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-05-14_final.stac-item
2021-06-20 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2021-06-20_final.stac-item
2021-09-20 10:53:29	ga_s2bm_ard_3-2-1_52KGA_2021-09-20_final.stac-item
2021-10-20 10:56:05	ga_s2bm_ard_3-2-1_52JEL_2021-10-20_final.stac-item
2021-10-28 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2021-10-28_final.stac-item
2021-11-08 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2021-11-08_final.stac-item
2022-01-10 11:36:53	ga_s2bm_ard_3-2-1_51HUC_2022-01-10_final.stac-item
2022-01-20 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2022-01-20_final.stac-item
2022-01-31 11:02:49	ga_s2bm_ard_3-2-1_52KHC_2022-01-31_final.stac-item
2022-02-03 11:13:31	ga_s2bm_ard_3-2-1_52KCA_2022-02-03_final.stac-item
2022-02-06 11:22:51	ga_s2bm_ard_3-2-1_51KYU_2022-02-06_final.stac-item
2022-02-12 11:46:37	ga_s2bm_ard_3-2-1_50HQJ_2022-02-12_final.stac-item
2022-03-04 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2022-03-04_final.stac-item
2022-03-27 11:56:34	ga_s2bm_ard_3-2-1_50HMK_2022-03-27_final.stac-item
2022-04-20 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2022-04-20_final.stac-item
2022-05-14 11:14:22	ga_s2bm_ard_3-2-1_52JBT_2022-05-14_final.stac-item
2022-06-06 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2022-06-06_final.stac-item
2022-06-27 10:55:18	ga_s2bm_ard_3-2-1_52JGP_2022-06-27_final.stac-item
2022-08-17 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-08-17_final.stac-item
2022-09-25 10:54:11	ga_s2bm_ard_3-2-1_52JHT_2022-09-25_final.stac-item
2022-10-01 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2022-10-01_final.stac-item
2022-10-03 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2022-10-03_final.stac-item
2022-10-04 11:22:03	ga_s2bm_ard_3-2-1_52KCG_2022-10-04_final.stac-item
2022-10-18 11:04:50	ga_s2bm_ard_3-2-1_52JDR_2022-10-18_final.stac-item
2022-11-26 11:32:31	ga_s2bm_ard_3-2-1_51KVA_2022-11-26_final.stac-item
2022-12-09 13:21:41	ga_s2bm_ard_3-2-1_46LHM_2022-12-09_interim
2022-12-16 11:36:27	ga_s2bm_ard_3-2-1_51HUE_2022-12-16_final.stac-item
2022-12-17 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2022-12-17_final.stac-item
2022-12-23 11:23:49	ga_s2bm_ard_3-2-1_52KBV_2022-12-23_final.stac-item
2023-01-03 10:52:18	ga_s2bm_ard_3-2-1_52KHF_2023-01-03_final.stac-item
2023-01-05 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2023-01-05_final.stac-item
2023-02-25 11:06:00	ga_s2bm_ard_3-2-1_52JEL_2023-02-25_final
2023-03-26 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2023-03-26_final
2023-06-01 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2023-06-01_final
2023-07-10 11:57:20	ga_s2bm_ard_3-2-1_49HGC_2023-07-10_nrt
2023-07-30 11:56:42	ga_s2bm_ard_3-2-1_50HMK_2023-07-30_final
2023-08-01 10:54:21	ga_s2bm_ard_3-2-1_52JFT_2023-08-01_final
2023-08-26 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-08-26_final
2023-09-09 11:23:54	ga_s2bm_ard_3-2-1_51KZQ_2023-09-09_final
2023-09-28 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2023-09-28_final
2023-11-04 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-11-04_final
2023-11-18 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2023-11-18_final
2023-12-04 11:43:03	ga_s2bm_ard_3-2-1_51KVT_2023-12-04_final
2024-03-01 11:03:43	ga_s2bm_ard_3-2-1_52KFV_2024-03-01_final
2024-03-07 11:22:02	ga_s2bm_ard_3-2-1_52KBG_2024-03-07_final
2024-03-11 11:03:13	ga_s2bm_ard_3-2-1_52KFB_2024-03-11_final
2024-03-17 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2024-03-17_final
2024-04-13 11:15:43	ga_s2bm_ard_3-2-1_51JXH_2024-04-13_final
2024-04-25 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-04-25_final
2024-04-27 10:55:45	ga_s2bm_ard_3-2-1_52JFM_2024-04-27_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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