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
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUV_2017-12-05_final.stac-item
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51HUD_2017-12-09_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVT_2017-12-12_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51JUG_2018-02-17_final.stac-item
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51KXP_2018-02-17_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKP_2018-05-30_final.stac-item
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JLT_2018-08-15_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KVQ_2018-08-29_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KVT_2018-08-29_final.stac-item
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWR_2018-10-18_final.stac-item
2018-10-30 12:13:26	ga_s2bm_ard_3-2-1_49JGM_2018-10-30_final.stac-item
2018-11-20 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2018-11-20_final.stac-item
2018-12-16 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2018-12-16_final.stac-item
2019-02-01 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2019-02-01_final.stac-item
2019-03-20 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2019-03-20_final.stac-item
2019-04-29 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-04-29_final.stac-item
2019-05-06 11:33:06	ga_s2bm_ard_3-2-1_51KWU_2019-05-06_final.stac-item
2019-05-26 11:37:11	ga_s2bm_ard_3-2-1_50HQH_2019-05-26_final.stac-item
2019-07-05 11:33:36	ga_s2bm_ard_3-2-1_51KWS_2019-07-05_final.stac-item
2019-07-25 11:34:01	ga_s2bm_ard_3-2-1_51KXQ_2019-07-25_final.stac-item
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_51JZN_2019-07-29_final.stac-item
2019-08-17 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2019-08-17_final.stac-item
2019-08-17 11:43:17	ga_s2bm_ard_3-2-1_51KVT_2019-08-17_final.stac-item
2019-09-03 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2019-09-03_final.stac-item
2019-09-30 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2019-09-30_final.stac-item
2019-10-03 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2019-10-03_final.stac-item
2019-10-23 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2019-10-23_final.stac-item
2020-02-03 11:42:06	ga_s2bm_ard_3-2-1_51KVB_2020-02-03_final.stac-item
2020-02-10 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2020-02-10_final.stac-item
2020-03-14 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final.stac-item
2020-03-21 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2020-03-21_final.stac-item
2020-05-10 11:32:42	ga_s2bm_ard_3-2-1_51KWV_2020-05-10_final.stac-item
2020-05-17 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2020-05-17_final.stac-item
2020-05-17 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2020-05-17_final.stac-item
2020-06-02 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2020-06-02_final.stac-item
2020-06-12 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2020-06-12_final.stac-item
2020-07-06 11:24:14	ga_s2bm_ard_3-2-1_51KXP_2020-07-06_final.stac-item
2020-09-14 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2020-09-14_final.stac-item
2020-09-27 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-09-27_final.stac-item
2020-09-27 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2020-09-27_final.stac-item
2020-11-06 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2020-11-06_final.stac-item
2020-11-16 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2020-11-16_final.stac-item
2020-12-05 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2020-12-05_final.stac-item
2020-12-13 11:23:54	ga_s2bm_ard_3-2-1_51KXQ_2020-12-13_final.stac-item
2020-12-16 11:32:36	ga_s2bm_ard_3-2-1_51KXV_2020-12-16_final.stac-item
2021-01-25 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2021-01-25_final.stac-item
2021-02-07 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-02-07_final.stac-item
2021-02-24 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2021-02-24_final.stac-item
2021-05-12 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2021-05-12_final.stac-item
2021-06-17 11:43:37	ga_s2bm_ard_3-2-1_51KVR_2021-06-17_final.stac-item
2021-06-27 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2021-06-27_final.stac-item
2021-06-30 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-06-30_final.stac-item
2021-08-03 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2021-08-03_final.stac-item
2021-08-10 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2021-08-10_final.stac-item
2021-08-16 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-08-16_final.stac-item
2021-12-05 11:16:36	ga_s2bm_ard_3-2-1_51HXD_2021-12-05_final.stac-item
2021-12-28 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2021-12-28_final.stac-item
2022-01-13 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2022-01-13_final.stac-item
2022-03-08 11:23:40	ga_s2bm_ard_3-2-1_51KXR_2022-03-08_final.stac-item
2022-03-30 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-03-30_final.stac-item
2022-03-31 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2022-03-31_final.stac-item
2022-05-10 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2022-05-10_final.stac-item
2022-07-02 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2022-07-02_final.stac-item
2022-07-15 11:52:38	ga_s2bm_ard_3-2-1_50KQF_2022-07-15_final
2022-08-14 11:56:21	ga_s2bm_ard_3-2-1_50JNL_2022-08-14_final.stac-item
2022-08-28 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2022-08-28_final.stac-item
2022-10-10 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2022-10-10_final.stac-item
2022-11-05 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2022-11-05_final.stac-item
2022-12-02 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2022-12-02_final.stac-item
2022-12-03 11:24:06	ga_s2bm_ard_3-2-1_51KYP_2022-12-03_final.stac-item
2022-12-05 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2022-12-05_final.stac-item
2022-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-12-18_final.stac-item
2022-12-19 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2022-12-19_final.stac-item
2022-12-29 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2022-12-29_final.stac-item
2023-01-01 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2023-01-01_final.stac-item
2023-01-15 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2023-01-15_final.stac-item
2023-05-08 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2023-05-08_final
2023-06-04 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-06-04_final
2023-07-14 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2023-07-14_final
2023-07-21 11:23:34	ga_s2bm_ard_3-2-1_51KXS_2023-07-21_final
2023-07-24 11:33:36	ga_s2bm_ard_3-2-1_51KVS_2023-07-24_final
2023-08-03 11:33:14	ga_s2bm_ard_3-2-1_51KXT_2023-08-03_final
2023-08-12 12:04:05	ga_s2bm_ard_3-2-1_49KHR_2023-08-12_final
2023-09-12 11:33:16	ga_s2bm_ard_3-2-1_51KWT_2023-09-12_final
2023-09-19 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2023-09-19_final
2023-10-04 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2023-10-04_final
2023-12-01 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2023-12-01_final
2023-12-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2023-12-04_final
2023-12-08 11:23:25	ga_s2bm_ard_3-2-1_51KXS_2023-12-08_final
2023-12-21 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2023-12-21_final
2023-12-23 12:14:42	ga_s2bm_ard_3-2-1_49JGN_2023-12-23_final
2024-01-03 11:46:48	ga_s2bm_ard_3-2-1_50HPJ_2024-01-03_final
2024-01-06 11:52:37	ga_s2bm_ard_3-2-1_50KPF_2024-01-06_final
2024-01-30 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2024-01-30_final
2024-02-09 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2024-02-09_final
2024-02-22 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2024-02-22_final
2024-02-29 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2024-02-29_final
2024-02-29 11:33:25	ga_s2bm_ard_3-2-1_51KWS_2024-02-29_final
2024-03-10 11:33:08	ga_s2bm_ard_3-2-1_51KWT_2024-03-10_final
2024-03-13 11:46:05	ga_s2bm_ard_3-2-1_50JNM_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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