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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_51KXS_2017-07-12_final.stac-item
2017-10-02 10:22:51	ga_s2bm_ard_3-2-1_53HPB_2017-10-02_final.stac-item
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_51HYE_2017-12-26_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KZA_2017-12-29_final.stac-item
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52LGH_2018-02-14_final.stac-item
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JUN_2018-03-02_final.stac-item
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_51KUQ_2018-05-14_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KQU_2018-06-06_final.stac-item
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51KVT_2018-06-13_final.stac-item
2018-08-04 10:46:10	ga_s2bm_ard_3-2-1_53HMD_2018-08-04_final.stac-item
2018-08-28 10:21:53	ga_s2bm_ard_3-2-1_53HPB_2018-08-28_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KWB_2018-10-08_final.stac-item
2018-10-18 11:26:57	ga_s2bm_ard_3-2-1_52LBK_2018-10-18_final.stac-item
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_52JGM_2018-11-05_final.stac-item
2018-11-07 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2018-11-07_final.stac-item
2018-11-12 10:45:52	ga_s2bm_ard_3-2-1_53JLF_2018-11-12_final.stac-item
2018-12-06 12:03:53	ga_s2bm_ard_3-2-1_50KKA_2018-12-06_final.stac-item
2019-01-09 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2019-01-09_final.stac-item
2019-01-26 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2019-01-26_final.stac-item
2019-03-23 11:53:39	ga_s2bm_ard_3-2-1_50KNB_2019-03-23_final.stac-item
2019-04-23 11:25:16	ga_s2bm_ard_3-2-1_51JXK_2019-04-23_final.stac-item
2019-05-26 11:32:53	ga_s2bm_ard_3-2-1_51KXV_2019-05-26_final.stac-item
2019-06-09 11:16:01	ga_s2bm_ard_3-2-1_51JYG_2019-06-09_final.stac-item
2019-06-15 11:33:41	ga_s2bm_ard_3-2-1_51KUS_2019-06-15_final.stac-item
2019-12-02 11:32:49	ga_s2bm_ard_3-2-1_51KXU_2019-12-02_final.stac-item
2019-12-28 11:54:32	ga_s2bm_ard_3-2-1_50JNT_2019-12-28_final.stac-item
2020-01-21 11:31:12	ga_s2bm_ard_3-2-1_52LBK_2020-01-21_final.stac-item
2020-02-02 12:14:49	ga_s2bm_ard_3-2-1_49JGM_2020-02-02_final.stac-item
2020-02-04 11:16:16	ga_s2bm_ard_3-2-1_51HYE_2020-02-04_final.stac-item
2020-02-22 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-02-22_final.stac-item
2020-03-01 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2020-03-01_final.stac-item
2020-03-02 11:01:01	ga_s2bm_ard_3-2-1_52LGL_2020-03-02_final.stac-item
2020-03-02 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2020-03-02_final.stac-item
2020-03-04 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2020-03-04_final.stac-item
2020-04-12 12:13:51	ga_s2bm_ard_3-2-1_49KHR_2020-04-12_final.stac-item
2020-04-20 11:34:00	ga_s2bm_ard_3-2-1_51KXP_2020-04-20_final.stac-item
2020-07-13 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2020-07-13_final.stac-item
2020-07-26 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2020-07-26_final.stac-item
2020-09-20 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2020-09-20_final.stac-item
2020-10-04 11:24:47	ga_s2bm_ard_3-2-1_52JBR_2020-10-04_final.stac-item
2020-11-18 12:14:09	ga_s2bm_ard_3-2-1_49KGQ_2020-11-18_final.stac-item
2020-11-29 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2020-11-29_final.stac-item
2020-11-30 11:11:00	ga_s2bm_ard_3-2-1_52LFL_2020-11-30_final.stac-item
2020-12-27 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2020-12-27_final.stac-item
2021-02-12 10:54:57	ga_s2bm_ard_3-2-1_52JGQ_2021-02-12_final.stac-item
2021-03-18 10:36:45	ga_s2bm_ard_3-2-1_53HPB_2021-03-18_final.stac-item
2021-05-05 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2021-05-05_final.stac-item
2021-05-19 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2021-05-19_final.stac-item
2021-06-11 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2021-06-11_final.stac-item
2021-06-22 10:55:06	ga_s2bm_ard_3-2-1_53JLJ_2021-06-22_final.stac-item
2021-07-20 11:55:37	ga_s2bm_ard_3-2-1_50JNP_2021-07-20_final.stac-item
2021-07-25 11:04:26	ga_s2bm_ard_3-2-1_52JGS_2021-07-25_final.stac-item
2021-08-10 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2021-08-10_final.stac-item
2021-09-12 11:36:30	ga_s2bm_ard_3-2-1_50HQK_2021-09-12_final.stac-item
2021-09-14 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2021-09-14_final.stac-item
2021-10-21 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-10-21_final.stac-item
2021-10-26 11:13:56	ga_s2bm_ard_3-2-1_52KBV_2021-10-26_final.stac-item
2021-11-24 11:43:32	ga_s2bm_ard_3-2-1_51KVR_2021-11-24_final.stac-item
2022-01-06 11:56:10	ga_s2bm_ard_3-2-1_50JKM_2022-01-06_final.stac-item
2022-01-31 11:02:34	ga_s2bm_ard_3-2-1_52KHD_2022-01-31_final.stac-item
2022-02-02 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-02_final.stac-item
2022-02-09 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2022-02-09_final.stac-item
2022-02-18 10:26:54	ga_s2bm_ard_3-2-1_53HQA_2022-02-18_final.stac-item
2022-02-18 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2022-02-18_final.stac-item
2022-02-18 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-02-18_final.stac-item
2022-03-23 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2022-03-23_final.stac-item
2022-04-10 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2022-04-10_final.stac-item
2022-05-03 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-05-03_final.stac-item
2022-05-13 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2022-05-13_final.stac-item
2022-06-03 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2022-06-03_final.stac-item
2022-06-09 11:34:51	ga_s2bm_ard_3-2-1_51JTM_2022-06-09_final.stac-item
2022-07-26 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2022-07-26_final.stac-item
2022-07-29 11:35:17	ga_s2bm_ard_3-2-1_51JVK_2022-07-29_final.stac-item
2022-08-31 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2022-08-31_final.stac-item
2022-09-04 11:24:46	ga_s2bm_ard_3-2-1_51JWM_2022-09-04_final.stac-item
2022-11-11 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2022-11-11_final.stac-item
2022-11-29 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2022-11-29_final.stac-item
2022-12-09 13:21:41	ga_s2bm_ard_3-2-1_46LHM_2022-12-09_interim
2023-01-18 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2023-01-18_final.stac-item
2023-02-19 10:45:42	ga_s2bm_ard_3-2-1_53JKG_2023-02-19_final
2023-02-21 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2023-02-21_final
2023-04-19 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2023-04-19_final
2023-04-26 11:05:36	ga_s2bm_ard_3-2-1_52JDN_2023-04-26_final
2023-05-05 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2023-05-05_final
2023-06-20 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2023-06-20_final
2023-06-21 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2023-06-21_final
2023-07-24 11:34:09	ga_s2bm_ard_3-2-1_51KUQ_2023-07-24_final
2023-07-27 11:47:16	ga_s2bm_ard_3-2-1_50HMH_2023-07-27_final
2023-09-23 11:05:42	ga_s2bm_ard_3-2-1_52JFM_2023-09-23_final
2023-11-29 10:54:11	ga_s2bm_ard_3-2-1_53JLN_2023-11-29_final
2023-12-08 11:26:02	ga_s2bm_ard_3-2-1_51JUG_2023-12-08_final
2023-12-09 10:54:52	ga_s2bm_ard_3-2-1_53JKK_2023-12-09_final
2023-12-10 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2023-12-10_final
2024-01-18 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2024-01-18_final
2024-01-18 10:55:53	ga_s2bm_ard_3-2-1_53JKF_2024-01-18_final
2024-01-31 11:06:30	ga_s2bm_ard_3-2-1_52HBJ_2024-01-31_nrt
2024-03-30 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2024-03-30_final
2024-04-09 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2024-04-09_final
2024-04-28 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2024-04-28_final
2024-05-04 10:45:41	ga_s2bm_ard_3-2-1_53JLG_2024-05-04_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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