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
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KWB_2017-11-02_final.stac-item
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_52LBJ_2017-11-09_final.stac-item
2018-01-08 11:19:36	ga_s2bm_ard_3-2-1_52KCE_2018-01-08_final.stac-item
2018-02-04 11:11:54	ga_s2bm_ard_3-2-1_52JBQ_2018-02-04_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUT_2018-04-04_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KVU_2018-04-11_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KWU_2018-04-11_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KUR_2018-04-24_final.stac-item
2018-06-01 10:57:12	ga_s2bm_ard_3-2-1_52KHC_2018-06-01_final.stac-item
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_52KCC_2018-07-27_final.stac-item
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_50KMC_2018-07-29_final.stac-item
2018-07-31 11:00:38	ga_s2bm_ard_3-2-1_52KHC_2018-07-31_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KXS_2018-08-29_final.stac-item
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_50JPL_2018-09-08_final.stac-item
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_51JYL_2018-10-12_final.stac-item
2018-12-06 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2018-12-06_final.stac-item
2019-03-13 11:56:11	ga_s2bm_ard_3-2-1_50JKM_2019-03-13_final.stac-item
2019-04-29 11:43:07	ga_s2bm_ard_3-2-1_51KUU_2019-04-29_final.stac-item
2019-05-23 11:23:09	ga_s2bm_ard_3-2-1_51KXU_2019-05-23_final.stac-item
2019-05-29 11:43:27	ga_s2bm_ard_3-2-1_50KRC_2019-05-29_final.stac-item
2019-07-21 11:53:26	ga_s2bm_ard_3-2-1_50KQC_2019-07-21_final.stac-item
2019-08-07 11:43:51	ga_s2bm_ard_3-2-1_51KUR_2019-08-07_final.stac-item
2019-08-08 11:13:47	ga_s2bm_ard_3-2-1_52KBA_2019-08-08_final.stac-item
2019-08-23 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-08-23_final.stac-item
2019-09-02 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2019-09-02_final.stac-item
2019-11-30 10:52:40	ga_s2bm_ard_3-2-1_52KHD_2019-11-30_final.stac-item
2020-01-14 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2020-01-14_final.stac-item
2020-01-20 12:04:39	ga_s2bm_ard_3-2-1_49JGN_2020-01-20_final.stac-item
2020-01-22 11:02:55	ga_s2bm_ard_3-2-1_52KFC_2020-01-22_final.stac-item
2020-02-14 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2020-02-14_final.stac-item
2020-02-19 12:05:08	ga_s2bm_ard_3-2-1_50JKR_2020-02-19_final.stac-item
2020-03-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2020-03-17_final.stac-item
2020-03-20 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-20_final.stac-item
2020-04-18 10:55:12	ga_s2bm_ard_3-2-1_52JFP_2020-04-18_final.stac-item
2020-06-15 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-06-15_final.stac-item
2020-07-13 11:13:41	ga_s2bm_ard_3-2-1_52KBA_2020-07-13_final.stac-item
2020-07-23 11:13:41	ga_s2bm_ard_3-2-1_52KBA_2020-07-23_final.stac-item
2020-08-30 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-30_final.stac-item
2020-09-01 11:13:57	ga_s2bm_ard_3-2-1_52KBV_2020-09-01_final.stac-item
2020-09-07 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-09-07_final.stac-item
2020-09-27 11:32:17	ga_s2bm_ard_3-2-1_51KWB_2020-09-27_final.stac-item
2020-12-08 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2020-12-08_final.stac-item
2020-12-14 10:55:42	ga_s2bm_ard_3-2-1_52JFM_2020-12-14_final.stac-item
2021-01-26 11:06:21	ga_s2bm_ard_3-2-1_52HCK_2021-01-26_final
2021-02-04 11:31:17	ga_s2bm_ard_3-2-1_52LBK_2021-02-04_final.stac-item
2021-02-11 11:22:40	ga_s2bm_ard_3-2-1_51KYV_2021-02-11_final.stac-item
2021-02-18 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2021-02-18_final.stac-item
2021-02-25 11:03:33	ga_s2bm_ard_3-2-1_52KEA_2021-02-25_final.stac-item
2021-03-03 11:23:02	ga_s2bm_ard_3-2-1_52KCC_2021-03-03_final.stac-item
2021-04-27 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-04-27_final.stac-item
2021-05-24 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2021-05-24_final.stac-item
2021-05-26 11:05:16	ga_s2bm_ard_3-2-1_52JEP_2021-05-26_final.stac-item
2021-06-24 11:34:29	ga_s2bm_ard_3-2-1_51JVN_2021-06-24_final.stac-item
2021-07-11 11:26:56	ga_s2bm_ard_3-2-1_51HWC_2021-07-11_final
2021-09-02 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2021-09-02_final.stac-item
2021-09-12 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2021-09-12_final.stac-item
2021-10-02 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-10-02_final.stac-item
2021-10-25 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2021-10-25_final.stac-item
2021-12-01 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2021-12-01_final.stac-item
2021-12-22 11:03:15	ga_s2bm_ard_3-2-1_52KEB_2021-12-22_final.stac-item
2022-01-13 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-01-13_final.stac-item
2022-03-31 11:36:25	ga_s2bm_ard_3-2-1_51HUE_2022-03-31_final.stac-item
2022-04-21 11:06:05	ga_s2bm_ard_3-2-1_52JBL_2022-04-21_final.stac-item
2022-05-13 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2022-05-13_final.stac-item
2022-05-13 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2022-05-13_final.stac-item
2022-05-14 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2022-05-14_final.stac-item
2022-06-02 11:43:21	ga_s2bm_ard_3-2-1_50KQC_2022-06-02_final.stac-item
2022-06-06 11:23:04	ga_s2bm_ard_3-2-1_52KCC_2022-06-06_final.stac-item
2022-07-09 11:34:08	ga_s2bm_ard_3-2-1_51KUQ_2022-07-09_final.stac-item
2022-07-27 10:55:32	ga_s2bm_ard_3-2-1_52JGN_2022-07-27_final.stac-item
2022-08-09 11:05:12	ga_s2bm_ard_3-2-1_52JCQ_2022-08-09_final.stac-item
2022-08-29 11:03:23	ga_s2bm_ard_3-2-1_52KHA_2022-08-29_final.stac-item
2022-09-07 11:32:42	ga_s2bm_ard_3-2-1_51KXV_2022-09-07_final.stac-item
2022-12-30 11:12:10	ga_s2bm_ard_3-2-1_52KCG_2022-12-30_final.stac-item
2023-02-07 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2023-02-07_final
2023-03-30 11:13:37	ga_s2bm_ard_3-2-1_52KDA_2023-03-30_final
2023-04-08 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-04-08_final
2023-04-08 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-04-08_final
2023-04-18 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2023-04-18_final
2023-04-27 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2023-04-27_final
2023-06-11 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-06-11_final
2023-06-27 11:46:10	ga_s2bm_ard_3-2-1_50JPM_2023-06-27_final
2023-07-01 11:25:26	ga_s2bm_ard_3-2-1_51JYJ_2023-07-01_final
2023-07-04 11:35:50	ga_s2bm_ard_3-2-1_51JUH_2023-07-04_final
2023-07-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-07-17_final
2023-09-05 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-09-05_final
2023-10-29 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-10-29_final
2023-11-15 11:12:53	ga_s2bm_ard_3-2-1_52KFC_2023-11-15_final
2023-11-20 12:04:22	ga_s2bm_ard_3-2-1_50KLU_2023-11-20_final
2023-12-24 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2023-12-24_final
2024-01-24 11:13:47	ga_s2bm_ard_3-2-1_52KDV_2024-01-24_final
2024-02-05 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2024-02-05_final
2024-02-13 11:12:00	ga_s2bm_ard_3-2-1_52KFG_2024-02-13_final
2024-02-13 11:13:37	ga_s2bm_ard_3-2-1_52KCA_2024-02-13_final
2024-02-29 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2024-02-29_final
2024-03-19 12:03:40	ga_s2bm_ard_3-2-1_50KLB_2024-03-19_final
2024-03-27 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2024-03-27_final
2024-04-01 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2024-04-01_final
2024-04-02 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2024-04-02_final
2024-04-08 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2024-04-08_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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