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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JCL_2017-08-28_final.stac-item
2017-10-14 11:01:57	ga_s2bm_ard_3-2-1_52KEU_2017-10-14_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KWV_2018-01-11_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51LYD_2018-01-11_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KUT_2018-01-14_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51JWL_2018-01-28_final.stac-item
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_52LBK_2018-02-10_final.stac-item
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JCN_2018-05-02_final.stac-item
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JEL_2018-05-12_final.stac-item
2018-07-21 10:58:37	ga_s2bm_ard_3-2-1_52LGM_2018-07-21_final.stac-item
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JNL_2018-10-01_final.stac-item
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52KCV_2018-10-12_final.stac-item
2018-11-01 11:14:12	ga_s2bm_ard_3-2-1_52JCN_2018-11-01_final.stac-item
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_52KHU_2018-11-05_final.stac-item
2018-11-10 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2018-11-10_final.stac-item
2018-12-17 11:36:28	ga_s2bm_ard_3-2-1_50HQK_2018-12-17_final.stac-item
2019-01-23 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2019-01-23_final.stac-item
2019-03-10 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2019-03-10_final.stac-item
2019-03-13 11:54:49	ga_s2bm_ard_3-2-1_50JNS_2019-03-13_final.stac-item
2019-04-13 11:24:56	ga_s2bm_ard_3-2-1_51JYL_2019-04-13_final.stac-item
2019-04-26 11:34:44	ga_s2bm_ard_3-2-1_50JRT_2019-04-26_final.stac-item
2019-05-11 10:46:09	ga_s2bm_ard_3-2-1_52JGL_2019-05-11_final.stac-item
2019-09-12 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2019-09-12_final.stac-item
2019-10-12 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2019-10-12_final.stac-item
2019-10-16 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2019-10-16_final.stac-item
2020-01-01 11:31:10	ga_s2bm_ard_3-2-1_52LBK_2020-01-01_final.stac-item
2020-01-05 11:13:43	ga_s2bm_ard_3-2-1_52KDV_2020-01-05_final.stac-item
2020-01-05 11:14:36	ga_s2bm_ard_3-2-1_51JYM_2020-01-05_final.stac-item
2020-01-18 11:24:13	ga_s2bm_ard_3-2-1_52JBT_2020-01-18_final.stac-item
2020-02-10 11:34:44	ga_s2bm_ard_3-2-1_50JRS_2020-02-10_final.stac-item
2020-03-02 11:01:54	ga_s2bm_ard_3-2-1_52KHG_2020-03-02_final.stac-item
2020-03-05 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2020-03-05_final.stac-item
2020-03-13 12:14:04	ga_s2bm_ard_3-2-1_49KGQ_2020-03-13_final.stac-item
2020-04-07 11:23:41	ga_s2bm_ard_3-2-1_51KZQ_2020-04-07_final.stac-item
2020-07-19 11:34:16	ga_s2bm_ard_3-2-1_51KVP_2020-07-19_final.stac-item
2020-12-17 11:01:27	ga_s2bm_ard_3-2-1_52LGJ_2020-12-17_final.stac-item
2020-12-23 11:22:04	ga_s2bm_ard_3-2-1_52KBG_2020-12-23_final.stac-item
2021-01-16 11:04:16	ga_s2bm_ard_3-2-1_52JGT_2021-01-16_final.stac-item
2021-03-06 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2021-03-06_final.stac-item
2021-03-07 11:03:01	ga_s2bm_ard_3-2-1_52KFC_2021-03-07_final.stac-item
2021-04-01 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-04-01_final.stac-item
2021-05-05 11:35:53	ga_s2bm_ard_3-2-1_51JVG_2021-05-05_final.stac-item
2021-05-25 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2021-05-25_final.stac-item
2021-06-01 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2021-06-01_final.stac-item
2021-06-14 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2021-06-14_final.stac-item
2021-06-21 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2021-06-21_final.stac-item
2021-06-22 10:55:57	ga_s2bm_ard_3-2-1_52JGL_2021-06-22_final.stac-item
2021-07-31 11:25:11	ga_s2bm_ard_3-2-1_51JXK_2021-07-31_final.stac-item
2021-11-18 11:24:06	ga_s2bm_ard_3-2-1_51KYP_2021-11-18_final.stac-item
2021-12-25 11:10:57	ga_s2bm_ard_3-2-1_52LFL_2021-12-25_final.stac-item
2021-12-28 11:21:20	ga_s2bm_ard_3-2-1_52LBK_2021-12-28_final.stac-item
2022-01-01 11:00:58	ga_s2bm_ard_3-2-1_52LGL_2022-01-01_final.stac-item
2022-02-16 11:23:15	ga_s2bm_ard_3-2-1_51KZS_2022-02-16_final.stac-item
2022-03-31 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2022-03-31_final.stac-item
2022-04-13 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2022-04-13_final.stac-item
2022-04-22 12:13:49	ga_s2bm_ard_3-2-1_50KKA_2022-04-22_final.stac-item
2022-05-17 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2022-05-17_final.stac-item
2022-05-17 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2022-05-17_final.stac-item
2022-05-23 11:44:45	ga_s2bm_ard_3-2-1_51JTM_2022-05-23_final.stac-item
2022-05-30 11:35:08	ga_s2bm_ard_3-2-1_51JWK_2022-05-30_final.stac-item
2022-07-07 10:55:54	ga_s2bm_ard_3-2-1_52JEM_2022-07-07_final.stac-item
2022-07-28 12:05:02	ga_s2bm_ard_3-2-1_49JHM_2022-07-28_final.stac-item
2022-08-09 11:04:47	ga_s2bm_ard_3-2-1_52JFR_2022-08-09_final.stac-item
2022-08-21 11:47:04	ga_s2bm_ard_3-2-1_50HPH_2022-08-21_final.stac-item
2022-08-28 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2022-08-28_final.stac-item
2022-08-31 11:44:35	ga_s2bm_ard_3-2-1_50JQT_2022-08-31_final.stac-item
2022-09-04 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2022-09-04_final.stac-item
2022-10-01 11:12:31	ga_s2bm_ard_3-2-1_52KEE_2022-10-01_final.stac-item
2022-10-25 10:55:55	ga_s2bm_ard_3-2-1_52JGL_2022-10-25_final.stac-item
2022-10-30 13:21:42	ga_s2bm_ard_3-2-1_47LKG_2022-10-30_interim
2022-11-07 11:03:44	ga_s2bm_ard_3-2-1_52KFV_2022-11-07_final.stac-item
2022-11-10 12:50:58	ga_s2bm_ard_3-2-1_48LXP_2022-11-10_interim
2022-11-27 11:02:58	ga_s2bm_ard_3-2-1_52KGC_2022-11-27_final.stac-item
2022-12-30 11:11:58	ga_s2bm_ard_3-2-1_52KFG_2022-12-30_final.stac-item
2023-01-06 11:01:48	ga_s2bm_ard_3-2-1_52LFH_2023-01-06_final.stac-item
2023-01-09 11:12:25	ga_s2bm_ard_3-2-1_52KFE_2023-01-09_final.stac-item
2023-01-29 11:12:33	ga_s2bm_ard_3-2-1_52KDE_2023-01-29_final.stac-item
2023-02-11 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-02-11_final
2023-03-26 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2023-03-26_final
2023-04-04 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2023-04-04_final
2023-05-15 11:35:49	ga_s2bm_ard_3-2-1_51JUH_2023-05-15_final
2023-05-31 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-05-31_final
2023-06-06 12:15:01	ga_s2bm_ard_3-2-1_49JGM_2023-06-06_final
2023-06-17 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-06-17_final
2023-07-04 11:31:10	ga_s2bm_ard_3-2-1_52LBL_2023-07-04_nrt
2023-07-27 11:47:01	ga_s2bm_ard_3-2-1_50HMJ_2023-07-27_final
2023-08-13 11:36:38	ga_s2bm_ard_3-2-1_51HTE_2023-08-13_final
2023-11-28 11:24:52	ga_s2bm_ard_3-2-1_51JXL_2023-11-28_final
2023-12-20 12:03:18	ga_s2bm_ard_3-2-1_50KMC_2023-12-20_final
2024-01-17 11:22:40	ga_s2bm_ard_3-2-1_51KYV_2024-01-17_final
2024-01-18 10:53:31	ga_s2bm_ard_3-2-1_52KGA_2024-01-18_final
2024-01-24 11:12:19	ga_s2bm_ard_3-2-1_52KEF_2024-01-24_final
2024-02-16 11:21:17	ga_s2bm_ard_3-2-1_52LBL_2024-02-16_nrt
2024-02-20 11:02:04	ga_s2bm_ard_3-2-1_52KFG_2024-02-20_final
2024-03-03 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2024-03-03_final
2024-03-07 11:24:17	ga_s2bm_ard_3-2-1_51JYN_2024-03-07_final
2024-03-07 11:26:07	ga_s2bm_ard_3-2-1_51JUF_2024-03-07_final
2024-03-10 11:34:57	ga_s2bm_ard_3-2-1_51JUL_2024-03-10_final
2024-03-11 11:03:27	ga_s2bm_ard_3-2-1_52KFA_2024-03-11_final
2024-03-13 11:47:03	ga_s2bm_ard_3-2-1_50HNH_2024-03-13_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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