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
2019-07-26 09:25:01	ga_s2bm_ard_3-2-1_56JNN_2019-07-25_final.stac-item
2019-07-26 09:25:04	ga_s2bm_ard_3-2-1_56JMN_2019-07-25_final.stac-item
2019-07-26 09:25:15	ga_s2bm_ard_3-2-1_56JNM_2019-07-25_final.stac-item
2019-07-26 11:05:35	ga_s2bm_ard_3-2-1_52JFN_2019-07-26_final.stac-item
2019-07-26 11:05:39	ga_s2bm_ard_3-2-1_52JEN_2019-07-26_final.stac-item
2019-07-26 11:05:42	ga_s2bm_ard_3-2-1_52JDN_2019-07-26_final.stac-item
2019-07-28 11:46:16	ga_s2bm_ard_3-2-1_50JNM_2019-07-28_final.stac-item
2019-07-29 09:35:00	ga_s2bm_ard_3-2-1_56JMN_2019-07-29_final.stac-item
2019-07-29 09:35:03	ga_s2bm_ard_3-2-1_56JLN_2019-07-29_final.stac-item
2019-07-29 09:35:06	ga_s2bm_ard_3-2-1_56JKN_2019-07-29_final.stac-item
2019-07-29 09:35:09	ga_s2bm_ard_3-2-1_55JGH_2019-07-29_final.stac-item
2019-07-29 09:35:18	ga_s2bm_ard_3-2-1_56JLM_2019-07-29_final.stac-item
2019-07-29 09:35:21	ga_s2bm_ard_3-2-1_56JKM_2019-07-29_final.stac-item
2019-07-29 09:35:23	ga_s2bm_ard_3-2-1_55JGG_2019-07-29_final.stac-item
2019-08-10 11:55:56	ga_s2bm_ard_3-2-1_50JNN_2019-08-10_final.stac-item
2019-08-10 11:56:00	ga_s2bm_ard_3-2-1_50JMN_2019-08-10_final.stac-item
2019-08-10 11:56:03	ga_s2bm_ard_3-2-1_50JLN_2019-08-10_final.stac-item
2019-08-10 11:56:06	ga_s2bm_ard_3-2-1_50JKN_2019-08-10_final.stac-item
2019-08-10 11:56:18	ga_s2bm_ard_3-2-1_50JLM_2019-08-10_final.stac-item
2019-08-10 11:56:21	ga_s2bm_ard_3-2-1_50JKM_2019-08-10_final.stac-item
2019-08-18 11:15:39	ga_s2bm_ard_3-2-1_52JCN_2019-08-18_final.stac-item
2019-08-18 11:15:42	ga_s2bm_ard_3-2-1_52JBN_2019-08-18_final.stac-item
2019-08-18 11:15:45	ga_s2bm_ard_3-2-1_51JYH_2019-08-18_final.stac-item
2019-08-18 11:15:48	ga_s2bm_ard_3-2-1_51JXH_2019-08-18_final.stac-item
2019-08-18 11:15:53	ga_s2bm_ard_3-2-1_52JCM_2019-08-18_final.stac-item
2019-08-18 11:15:57	ga_s2bm_ard_3-2-1_52JBM_2019-08-18_final.stac-item
2019-08-18 11:15:59	ga_s2bm_ard_3-2-1_51JYG_2019-08-18_final.stac-item
2019-08-18 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2019-08-18_final.stac-item
2019-10-26 10:05:03	ga_s2bm_ard_3-2-1_55JCH_2019-10-26_final.stac-item
2019-10-26 10:05:07	ga_s2bm_ard_3-2-1_55JBH_2019-10-26_final.stac-item
2019-10-26 10:05:09	ga_s2bm_ard_3-2-1_54JYN_2019-10-26_final.stac-item
2019-10-26 10:05:13	ga_s2bm_ard_3-2-1_54JXN_2019-10-26_final.stac-item
2019-10-26 10:05:17	ga_s2bm_ard_3-2-1_55JCG_2019-10-26_final.stac-item
2019-10-26 10:05:21	ga_s2bm_ard_3-2-1_55JBG_2019-10-26_final.stac-item
2019-10-26 10:05:24	ga_s2bm_ard_3-2-1_54JYM_2019-10-26_final.stac-item
2019-10-26 10:05:28	ga_s2bm_ard_3-2-1_54JXM_2019-10-26_final.stac-item
2019-10-29 10:15:08	ga_s2bm_ard_3-2-1_54JXN_2019-10-29_final.stac-item
2019-10-29 10:15:12	ga_s2bm_ard_3-2-1_54JWN_2019-10-29_final.stac-item
2019-10-29 10:15:16	ga_s2bm_ard_3-2-1_54JVN_2019-10-29_final.stac-item
2019-10-29 10:15:20	ga_s2bm_ard_3-2-1_54JUN_2019-10-29_final.stac-item
2019-10-29 10:15:23	ga_s2bm_ard_3-2-1_54JXM_2019-10-29_final.stac-item
2019-10-29 10:15:27	ga_s2bm_ard_3-2-1_54JWM_2019-10-29_final.stac-item
2019-10-29 10:15:33	ga_s2bm_ard_3-2-1_54JUM_2019-10-29_final.stac-item
2019-11-05 10:05:03	ga_s2bm_ard_3-2-1_55JCH_2019-11-05_final.stac-item
2019-11-05 10:05:06	ga_s2bm_ard_3-2-1_55JBH_2019-11-05_final.stac-item
2024-04-22 11:45:44	ga_s2bm_ard_3-2-1_51JTH_2024-04-22_final
2024-04-22 11:45:46	ga_s2bm_ard_3-2-1_50JQN_2024-04-22_final
2024-04-22 11:45:50	ga_s2bm_ard_3-2-1_50JPN_2024-04-22_final
2024-04-22 11:45:54	ga_s2bm_ard_3-2-1_50JNN_2024-04-22_final
2024-04-22 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2024-04-22_final
2024-04-22 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2024-04-22_final
2024-04-22 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2024-04-22_final
2024-04-22 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2024-04-22_final
2024-04-23 09:35:09	ga_s2bm_ard_3-2-1_56JLM_2024-04-23_final
2024-04-23 09:35:12	ga_s2bm_ard_3-2-1_56JKM_2024-04-23_final
2024-04-23 09:35:15	ga_s2bm_ard_3-2-1_55JGG_2024-04-23_final
2024-04-24 10:45:18	ga_s2bm_ard_3-2-1_53JNH_2024-04-24_final
2024-04-24 10:45:22	ga_s2bm_ard_3-2-1_53JMH_2024-04-24_final
2024-04-24 10:45:25	ga_s2bm_ard_3-2-1_53JLH_2024-04-24_final
2024-04-24 10:45:28	ga_s2bm_ard_3-2-1_53JKH_2024-04-24_final
2024-04-24 10:45:39	ga_s2bm_ard_3-2-1_53JLG_2024-04-24_final
2024-04-24 10:45:43	ga_s2bm_ard_3-2-1_53JKG_2024-04-24_final
2024-04-24 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2024-04-24_final
2024-04-25 10:15:06	ga_s2bm_ard_3-2-1_54JXN_2024-04-25_final
2024-04-25 10:15:10	ga_s2bm_ard_3-2-1_54JWN_2024-04-25_final
2024-04-25 10:15:14	ga_s2bm_ard_3-2-1_54JVN_2024-04-25_final
2024-04-25 10:15:17	ga_s2bm_ard_3-2-1_54JUN_2024-04-25_final
2024-04-25 10:15:21	ga_s2bm_ard_3-2-1_54JXM_2024-04-25_final
2024-04-25 10:15:25	ga_s2bm_ard_3-2-1_54JWM_2024-04-25_final
2024-04-25 10:15:31	ga_s2bm_ard_3-2-1_54JUM_2024-04-25_final
2024-04-28 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2024-04-28_final
2024-04-28 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2024-04-28_final
2024-04-28 12:05:57	ga_s2bm_ard_3-2-1_49JGH_2024-04-28_final
2024-04-28 12:06:01	ga_s2bm_ard_3-2-1_49JFH_2024-04-28_nrt
2024-04-28 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2024-04-28_final
2024-04-28 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-04-28_final
2024-04-28 12:06:12	ga_s2bm_ard_3-2-1_49JGG_2024-04-28_nrt
2024-04-28 12:06:15	ga_s2bm_ard_3-2-1_49JFG_2024-04-28_nrt
2024-04-30 11:05:26	ga_s2bm_ard_3-2-1_52JFN_2024-04-30_final
2024-04-30 11:05:30	ga_s2bm_ard_3-2-1_52JEN_2024-04-30_final
2024-04-30 11:05:34	ga_s2bm_ard_3-2-1_52JDN_2024-04-30_final
2024-04-30 11:05:37	ga_s2bm_ard_3-2-1_52JCN_2024-04-30_final
2024-04-30 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2024-04-30_final
2024-04-30 11:05:44	ga_s2bm_ard_3-2-1_52JEM_2024-04-30_final
2024-04-30 11:05:52	ga_s2bm_ard_3-2-1_52JCM_2024-04-30_final
2024-05-16 09:44:52	ga_s2bm_ard_3-2-1_56JKN_2024-05-16_nrt
2024-05-16 09:44:55	ga_s2bm_ard_3-2-1_55JGH_2024-05-16_nrt
2024-05-16 09:44:59	ga_s2bm_ard_3-2-1_55JFH_2024-05-16_nrt
2024-05-16 09:45:02	ga_s2bm_ard_3-2-1_55JEH_2024-05-16_nrt
2024-05-16 09:45:06	ga_s2bm_ard_3-2-1_56JKM_2024-05-16_nrt
2024-05-16 09:45:09	ga_s2bm_ard_3-2-1_55JGG_2024-05-16_nrt
2024-05-16 09:45:13	ga_s2bm_ard_3-2-1_55JFG_2024-05-16_nrt
2024-05-16 09:45:17	ga_s2bm_ard_3-2-1_55JEG_2024-05-16_nrt
2024-05-17 10:55:22	ga_s2bm_ard_3-2-1_53JKH_2024-05-17_nrt
2024-05-17 10:55:25	ga_s2bm_ard_3-2-1_52JGN_2024-05-17_nrt
2024-05-17 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2024-05-17_nrt
2024-05-17 10:55:32	ga_s2bm_ard_3-2-1_52JEN_2024-05-17_nrt
2024-05-17 10:55:37	ga_s2bm_ard_3-2-1_53JKG_2024-05-17_nrt
2024-05-17 10:55:40	ga_s2bm_ard_3-2-1_52JGM_2024-05-17_nrt
2024-05-17 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2024-05-17_nrt

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

All years