Search ga_s2bm_ard_3 across August 2023

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2023-08-02 10:25:16	ga_s2bm_ard_3-2-1_54JVN_2023-08-02_final.stac-item
2023-08-02 10:25:57	ga_s2bm_ard_3-2-1_53JPF_2023-08-02_final.stac-item
2023-08-02 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-08-02_final.stac-item
2023-08-03 09:54:55	ga_s2bm_ard_3-2-1_55JFH_2023-08-03_final.stac-item
2023-08-03 11:35:42	ga_s2bm_ard_3-2-1_50JQP_2023-08-03_final.stac-item
2023-08-03 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2023-08-03_final.stac-item
2023-08-04 09:24:57	ga_s2bm_ard_3-2-1_56JNN_2023-08-03_final.stac-item
2023-08-04 09:25:00	ga_s2bm_ard_3-2-1_56JMN_2023-08-03_final.stac-item
2023-08-04 09:28:45	ga_s2bm_ard_3-2-1_55GGN_2023-08-03_nrt.stac-item
2023-08-04 09:28:53	ga_s2bm_ard_3-2-1_55GEN_2023-08-03_final.stac-item
2023-08-04 09:28:59	ga_s2bm_ard_3-2-1_55GGM_2023-08-03_nrt.stac-item
2023-08-05 10:35:53	ga_s2bm_ard_3-2-1_53JPF_2023-08-05_final.stac-item
2023-08-06 10:06:19	ga_s2bm_ard_3-2-1_54HWJ_2023-08-06_final.stac-item
2023-08-07 09:34:57	ga_s2bm_ard_3-2-1_56JMN_2023-08-07_final.stac-item
2023-08-07 09:35:29	ga_s2bm_ard_3-2-1_56JLL_2023-08-07_final.stac-item
2023-08-07 09:38:50	ga_s2bm_ard_3-2-1_55GEN_2023-08-07_final.stac-item
2023-08-07 09:38:54	ga_s2bm_ard_3-2-1_55GDN_2023-08-07_final.stac-item
2023-08-07 09:39:01	ga_s2bm_ard_3-2-1_55GFM_2023-08-07_nrt.stac-item
2023-08-07 09:39:08	ga_s2bm_ard_3-2-1_55GCM_2023-08-07_final.stac-item
2023-08-09 10:15:17	ga_s2bm_ard_3-2-1_54JWN_2023-08-09_final.stac-item
2023-08-09 10:15:20	ga_s2bm_ard_3-2-1_54JVN_2023-08-09_final.stac-item
2023-08-09 10:15:24	ga_s2bm_ard_3-2-1_54JUN_2023-08-09_final.stac-item
2023-08-09 10:15:53	ga_s2bm_ard_3-2-1_54JUL_2023-08-09_final.stac-item
2023-08-09 10:16:05	ga_s2bm_ard_3-2-1_54HXJ_2023-08-09_final.stac-item
2023-08-09 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2023-08-09_final.stac-item
2023-08-10 09:45:10	ga_s2bm_ard_3-2-1_55JEH_2023-08-10_final.stac-item
2023-08-10 09:48:51	ga_s2bm_ard_3-2-1_55GDN_2023-08-10_final.stac-item
2023-08-10 09:48:58	ga_s2bm_ard_3-2-1_55GDN_2023-08-10_final.stac-item
2023-08-10 09:48:59	ga_s2bm_ard_3-2-1_55GCM_2023-08-10_final.stac-item
2023-08-10 09:49:04	ga_s2bm_ard_3-2-1_55GCM_2023-08-10_final.stac-item
2023-08-10 09:49:05	ga_s2bm_ard_3-2-1_54GYS_2023-08-10_nrt.stac-item
2023-08-10 11:26:23	ga_s2bm_ard_3-2-1_51JUF_2023-08-10_final.stac-item
2023-08-10 11:26:35	ga_s2bm_ard_3-2-1_51HVE_2023-08-10_final.stac-item
2023-08-12 10:25:16	ga_s2bm_ard_3-2-1_54JVN_2023-08-12_final.stac-item
2023-08-12 10:25:58	ga_s2bm_ard_3-2-1_53JPF_2023-08-12_final.stac-item
2023-08-12 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-08-12_final.stac-item
2023-08-13 09:54:56	ga_s2bm_ard_3-2-1_55JFH_2023-08-13_final.stac-item
2023-08-13 11:36:19	ga_s2bm_ard_3-2-1_51JUF_2023-08-13_final.stac-item
2023-08-13 11:36:33	ga_s2bm_ard_3-2-1_51HVE_2023-08-13_final.stac-item
2023-08-13 11:36:34	ga_s2bm_ard_3-2-1_50JPL_2023-08-13_final.stac-item
2023-08-13 11:36:36	ga_s2bm_ard_3-2-1_51HUE_2023-08-13_final.stac-item
2023-08-14 09:24:58	ga_s2bm_ard_3-2-1_56JNN_2023-08-13_final.stac-item
2023-08-14 09:25:01	ga_s2bm_ard_3-2-1_56JMN_2023-08-13_final.stac-item
2023-08-14 09:28:46	ga_s2bm_ard_3-2-1_55GGN_2023-08-13_nrt.stac-item
2023-08-14 09:28:54	ga_s2bm_ard_3-2-1_55GEN_2023-08-13_final.stac-item
2023-08-14 09:29:00	ga_s2bm_ard_3-2-1_55GGM_2023-08-13_nrt.stac-item
2023-08-15 10:35:48	ga_s2bm_ard_3-2-1_53JPF_2023-08-15_final.stac-item
2023-08-16 10:06:19	ga_s2bm_ard_3-2-1_54HWJ_2023-08-16_final.stac-item
2023-08-16 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2023-08-16_final.stac-item
2023-08-17 09:34:57	ga_s2bm_ard_3-2-1_56JMN_2023-08-17_final.stac-item
2023-08-17 09:35:30	ga_s2bm_ard_3-2-1_56JLL_2023-08-17_final.stac-item
2023-08-17 09:38:51	ga_s2bm_ard_3-2-1_55GEN_2023-08-17_final.stac-item
2023-08-17 09:38:54	ga_s2bm_ard_3-2-1_55GDN_2023-08-17_final.stac-item
2023-08-17 09:39:01	ga_s2bm_ard_3-2-1_55GFM_2023-08-17_nrt.stac-item
2023-08-17 09:39:09	ga_s2bm_ard_3-2-1_55GCM_2023-08-17_final.stac-item
2023-08-19 10:15:17	ga_s2bm_ard_3-2-1_54JWN_2023-08-19_final.stac-item
2023-08-19 10:15:20	ga_s2bm_ard_3-2-1_54JVN_2023-08-19_final.stac-item
2023-08-19 10:15:53	ga_s2bm_ard_3-2-1_54JUL_2023-08-19_final.stac-item
2023-08-19 11:55:51	ga_s2bm_ard_3-2-1_50JKP_2023-08-19_final.stac-item
2023-08-19 11:57:32	ga_s2bm_ard_3-2-1_50HMF_2023-08-19_nrt.stac-item
2023-08-20 09:45:09	ga_s2bm_ard_3-2-1_55JEH_2023-08-20_final.stac-item
2023-08-20 09:48:50	ga_s2bm_ard_3-2-1_55GDN_2023-08-20_final.stac-item
2023-08-20 09:49:04	ga_s2bm_ard_3-2-1_55GCM_2023-08-20_final.stac-item
2023-08-20 09:49:05	ga_s2bm_ard_3-2-1_54GYS_2023-08-20_nrt.stac-item
2023-08-20 11:26:23	ga_s2bm_ard_3-2-1_51JUF_2023-08-20_final.stac-item
2023-08-20 11:26:34	ga_s2bm_ard_3-2-1_51HVE_2023-08-20_final.stac-item
2023-08-22 10:25:15	ga_s2bm_ard_3-2-1_54JVN_2023-08-22_final.stac-item
2023-08-22 10:25:40	ga_s2bm_ard_3-2-1_54JVL_2023-08-22_final.stac-item
2023-08-22 10:25:57	ga_s2bm_ard_3-2-1_53JPF_2023-08-22_final.stac-item
2023-08-22 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-08-22_final.stac-item
2023-08-23 11:36:18	ga_s2bm_ard_3-2-1_51JUF_2023-08-23_final.stac-item
2023-08-23 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2023-08-23_final.stac-item
2023-08-23 11:36:35	ga_s2bm_ard_3-2-1_51HUE_2023-08-23_final.stac-item
2023-08-24 09:24:57	ga_s2bm_ard_3-2-1_56JNN_2023-08-23_final.stac-item
2023-08-24 09:25:00	ga_s2bm_ard_3-2-1_56JMN_2023-08-23_final.stac-item
2023-08-24 09:25:34	ga_s2bm_ard_3-2-1_56JLL_2023-08-23_final.stac-item
2023-08-24 09:28:45	ga_s2bm_ard_3-2-1_55GGN_2023-08-23_nrt.stac-item
2023-08-24 09:28:53	ga_s2bm_ard_3-2-1_55GEN_2023-08-23_final.stac-item
2023-08-24 09:28:59	ga_s2bm_ard_3-2-1_55GGM_2023-08-23_nrt.stac-item
2023-08-24 09:29:01	ga_s2bm_ard_3-2-1_55GFM_2023-08-23_nrt.stac-item
2023-08-25 10:35:53	ga_s2bm_ard_3-2-1_53JPF_2023-08-25_final.stac-item
2023-08-26 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2023-08-26_final.stac-item
2023-08-27 09:34:48	ga_s2bm_ard_3-2-1_56JNN_2023-08-27_final.stac-item
2023-08-27 09:34:56	ga_s2bm_ard_3-2-1_56JMN_2023-08-27_final.stac-item
2023-08-27 09:35:29	ga_s2bm_ard_3-2-1_56JLL_2023-08-27_final.stac-item
2023-08-27 09:36:27	ga_s2bm_ard_3-2-1_56HLG_2023-08-27_final.stac-item
2023-08-27 09:38:49	ga_s2bm_ard_3-2-1_55GEN_2023-08-27_final.stac-item
2023-08-27 09:38:53	ga_s2bm_ard_3-2-1_55GDN_2023-08-27_final.stac-item
2023-08-27 09:39:00	ga_s2bm_ard_3-2-1_55GFM_2023-08-27_nrt.stac-item
2023-08-27 09:39:08	ga_s2bm_ard_3-2-1_55GCM_2023-08-27_final.stac-item
2023-08-28 10:45:46	ga_s2bm_ard_3-2-1_53JNF_2023-08-28_final.stac-item
2023-08-29 10:15:16	ga_s2bm_ard_3-2-1_54JWN_2023-08-29_final.stac-item
2023-08-29 10:15:20	ga_s2bm_ard_3-2-1_54JVN_2023-08-29_final.stac-item
2023-08-29 10:15:23	ga_s2bm_ard_3-2-1_54JUN_2023-08-29_final.stac-item
2023-08-29 10:15:52	ga_s2bm_ard_3-2-1_54JUL_2023-08-29_final.stac-item
2023-08-30 09:45:09	ga_s2bm_ard_3-2-1_55JEH_2023-08-30_final.stac-item
2023-08-30 09:48:50	ga_s2bm_ard_3-2-1_55GDN_2023-08-30_final.stac-item
2023-08-30 09:49:03	ga_s2bm_ard_3-2-1_55GCM_2023-08-30_final.stac-item
2023-08-30 09:49:04	ga_s2bm_ard_3-2-1_54GYS_2023-08-30_nrt.stac-item
2023-08-30 11:26:22	ga_s2bm_ard_3-2-1_51JUF_2023-08-30_final.stac-item

Return to ga_s2bm_ard_3 across August 2023 overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2023

August

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