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_51KVR_2017-11-02_final.stac-item
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUT_2017-11-15_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KWR_2017-12-02_final.stac-item
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KWR_2017-12-22_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KVA_2017-12-25_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KWB_2018-01-04_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51JUM_2018-01-14_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51KWP_2018-02-17_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXB_2018-02-20_final.stac-item
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KUU_2018-02-23_final.stac-item
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_51KUV_2018-03-25_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKN_2018-04-20_final.stac-item
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51KXS_2018-05-28_final.stac-item
2018-07-22 12:13:59	ga_s2bm_ard_3-2-1_49JGM_2018-07-22_final.stac-item
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JXJ_2018-07-27_final.stac-item
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51HUD_2018-09-18_final.stac-item
2018-11-07 11:33:28	ga_s2bm_ard_3-2-1_51KVS_2018-11-07_final.stac-item
2018-11-20 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2018-11-20_final.stac-item
2018-11-30 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2018-11-30_final.stac-item
2019-01-03 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2019-01-03_final.stac-item
2019-01-06 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2019-01-06_final.stac-item
2019-01-09 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2019-01-09_final.stac-item
2019-02-25 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2019-02-25_final.stac-item
2019-02-28 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2019-02-28_final.stac-item
2019-03-17 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2019-03-17_final.stac-item
2019-03-20 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2019-03-20_final.stac-item
2019-03-24 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2019-03-24_final.stac-item
2019-04-15 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2019-04-15_final.stac-item
2019-04-19 11:42:19	ga_s2bm_ard_3-2-1_51KVB_2019-04-19_final.stac-item
2019-06-15 11:33:31	ga_s2bm_ard_3-2-1_51KXS_2019-06-15_final.stac-item
2019-06-18 11:46:56	ga_s2bm_ard_3-2-1_50HPJ_2019-06-18_final.stac-item
2019-06-21 11:56:12	ga_s2bm_ard_3-2-1_50JNM_2019-06-21_final.stac-item
2019-06-22 11:24:27	ga_s2bm_ard_3-2-1_51JZN_2019-06-22_final.stac-item
2019-07-15 11:33:43	ga_s2bm_ard_3-2-1_51KUS_2019-07-15_final.stac-item
2019-08-14 11:36:49	ga_s2bm_ard_3-2-1_51HUD_2019-08-14_final.stac-item
2019-10-23 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2019-10-23_final.stac-item
2019-11-05 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-11-05_final.stac-item
2019-11-29 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2019-11-29_final.stac-item
2020-01-13 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2020-01-13_final.stac-item
2020-02-20 11:33:12	ga_s2bm_ard_3-2-1_51KVT_2020-02-20_final.stac-item
2020-02-20 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2020-02-20_final.stac-item
2020-03-31 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2020-03-31_final.stac-item
2020-04-23 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2020-04-23_final.stac-item
2020-06-12 11:44:55	ga_s2bm_ard_3-2-1_50JPS_2020-06-12_final.stac-item
2020-08-21 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-08-21_final.stac-item
2020-10-07 11:33:34	ga_s2bm_ard_3-2-1_51KVS_2020-10-07_final.stac-item
2020-10-20 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2020-10-20_final.stac-item
2020-10-20 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2020-10-20_final.stac-item
2020-11-06 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-11-06_final.stac-item
2020-11-09 11:43:20	ga_s2bm_ard_3-2-1_50KRC_2020-11-09_final.stac-item
2020-12-06 11:34:35	ga_s2bm_ard_3-2-1_50JRT_2020-12-06_final.stac-item
2020-12-16 11:32:57	ga_s2bm_ard_3-2-1_51KVU_2020-12-16_final.stac-item
2021-01-08 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-01-08_final.stac-item
2021-02-13 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-02-13_final.stac-item
2021-02-27 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-02-27_final.stac-item
2021-03-02 11:53:38	ga_s2bm_ard_3-2-1_50KNB_2021-03-02_final.stac-item
2021-03-09 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-03-09_final.stac-item
2021-06-14 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2021-06-14_final.stac-item
2021-07-13 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-07-13_final.stac-item
2021-07-24 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2021-07-24_final.stac-item
2021-08-02 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-08-02_final.stac-item
2021-08-16 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2021-08-16_final.stac-item
2021-09-22 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2021-09-22_final.stac-item
2021-10-02 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-10-02_final.stac-item
2021-11-04 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2021-11-04_final.stac-item
2021-12-04 11:42:37	ga_s2bm_ard_3-2-1_51KVV_2021-12-04_final.stac-item
2021-12-11 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2021-12-11_final.stac-item
2021-12-11 11:36:21	ga_s2bm_ard_3-2-1_50JPL_2021-12-11_final.stac-item
2021-12-18 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2021-12-18_final.stac-item
2022-01-17 11:24:36	ga_s2bm_ard_3-2-1_51JXM_2022-01-17_final.stac-item
2022-02-01 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-01_final.stac-item
2022-02-09 11:32:52	ga_s2bm_ard_3-2-1_51KWU_2022-02-09_final.stac-item
2022-02-09 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-02-09_final.stac-item
2022-02-16 11:23:36	ga_s2bm_ard_3-2-1_51KXR_2022-02-16_final.stac-item
2022-02-19 11:33:32	ga_s2bm_ard_3-2-1_51KXR_2022-02-19_final.stac-item
2022-04-17 11:23:53	ga_s2bm_ard_3-2-1_51KXQ_2022-04-17_final.stac-item
2022-08-04 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2022-08-04_final
2022-10-07 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2022-10-07_final.stac-item
2022-10-27 11:33:29	ga_s2bm_ard_3-2-1_51KVS_2022-10-27_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2022-12-06 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2022-12-06_final.stac-item
2022-12-23 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2022-12-23_final.stac-item
2023-01-25 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2023-01-25_final
2023-02-24 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2023-02-24_final
2023-02-24 11:33:34	ga_s2bm_ard_3-2-1_51KUS_2023-02-24_final
2023-02-27 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2023-02-27_final
2023-03-09 11:44:17	ga_s2bm_ard_3-2-1_51KUP_2023-03-09_final
2023-03-29 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2023-03-29_final
2023-04-04 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-04-04_final
2023-04-05 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-04-05_final
2023-04-15 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2023-04-15_final
2023-07-24 11:33:58	ga_s2bm_ard_3-2-1_51KXQ_2023-07-24_final
2023-08-06 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2023-08-06_final
2023-08-16 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-08-16_final
2023-08-23 11:32:24	ga_s2bm_ard_3-2-1_51KVB_2023-08-23_final
2023-09-15 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2023-09-15_final
2023-12-07 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-12-07_final
2024-02-29 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2024-02-29_final
2024-03-03 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2024-03-03_final
2024-03-16 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2024-03-16_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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