Search ga_s2bm_ard_3 across April 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
2023-04-01 10:15:15	ga_s2bm_ard_3-2-1_54JWN_2023-04-01_final.stac-item
2023-04-01 10:15:18	ga_s2bm_ard_3-2-1_54JVN_2023-04-01_final.stac-item
2023-04-01 10:17:21	ga_s2bm_ard_3-2-1_54HTE_2023-04-01_final.stac-item
2023-04-01 10:17:23	ga_s2bm_ard_3-2-1_53HQV_2023-04-01_final.stac-item
2023-04-01 11:51:36	ga_s2bm_ard_3-2-1_50LRK_2023-04-01_nrt.stac-item
2023-04-01 11:55:53	ga_s2bm_ard_3-2-1_50JNN_2023-04-01_final.stac-item
2023-04-01 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2023-04-01_final.stac-item
2023-04-02 09:45:07	ga_s2bm_ard_3-2-1_55JEH_2023-04-02_final.stac-item
2023-04-02 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2023-04-02_final.stac-item
2023-04-02 11:25:45	ga_s2bm_ard_3-2-1_51JWH_2023-04-02_final.stac-item
2023-04-02 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2023-04-02_final.stac-item
2023-04-03 10:55:38	ga_s2bm_ard_3-2-1_52JEN_2023-04-03_final.stac-item
2023-04-04 10:25:14	ga_s2bm_ard_3-2-1_54JVN_2023-04-04_final.stac-item
2023-04-04 10:27:15	ga_s2bm_ard_3-2-1_54HTE_2023-04-04_final.stac-item
2023-04-04 10:27:16	ga_s2bm_ard_3-2-1_53HQV_2023-04-04_final.stac-item
2023-04-04 10:27:18	ga_s2bm_ard_3-2-1_53HPV_2023-04-04_final.stac-item
2023-04-04 10:27:20	ga_s2bm_ard_3-2-1_53HNV_2023-04-04_nrt.stac-item
2023-04-05 09:55:02	ga_s2bm_ard_3-2-1_55JDH_2023-04-05_final.stac-item
2023-04-05 09:55:09	ga_s2bm_ard_3-2-1_55JDH_2023-04-05_final.stac-item
2023-04-05 09:57:10	ga_s2bm_ard_3-2-1_55HBV_2023-04-05_final.stac-item
2023-04-05 11:35:44	ga_s2bm_ard_3-2-1_51JVH_2023-04-05_final.stac-item
2023-04-06 09:24:56	ga_s2bm_ard_3-2-1_56JNN_2023-04-05_final.stac-item
2023-04-06 09:24:59	ga_s2bm_ard_3-2-1_56JMN_2023-04-05_final.stac-item
2023-04-06 11:05:33	ga_s2bm_ard_3-2-1_52JEN_2023-04-06_final.stac-item
2023-04-07 10:35:26	ga_s2bm_ard_3-2-1_53JNH_2023-04-07_final.stac-item
2023-04-08 10:00:43	ga_s2bm_ard_3-2-1_55LGE_2023-04-08_nrt.stac-item
2023-04-08 10:04:56	ga_s2bm_ard_3-2-1_54JYP_2023-04-08_final.stac-item
2023-04-08 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2023-04-08_final.stac-item
2023-04-09 09:34:46	ga_s2bm_ard_3-2-1_56JNN_2023-04-09_final.stac-item
2023-04-09 09:34:54	ga_s2bm_ard_3-2-1_56JMN_2023-04-09_final.stac-item
2023-04-09 11:15:27	ga_s2bm_ard_3-2-1_51JYJ_2023-04-09_final.stac-item
2023-04-10 10:41:02	ga_s2bm_ard_3-2-1_54LTK_2023-04-10_nrt.stac-item
2023-04-10 10:41:04	ga_s2bm_ard_3-2-1_53LRE_2023-04-10_nrt.stac-item
2023-04-10 10:41:07	ga_s2bm_ard_3-2-1_53LQE_2023-04-10_final.stac-item
2023-04-10 10:45:21	ga_s2bm_ard_3-2-1_53JNH_2023-04-10_final.stac-item
2023-04-11 10:14:49	ga_s2bm_ard_3-2-1_54JYP_2023-04-11_final.stac-item
2023-04-11 10:15:13	ga_s2bm_ard_3-2-1_54JWN_2023-04-11_final.stac-item
2023-04-11 10:17:19	ga_s2bm_ard_3-2-1_54HTE_2023-04-11_final.stac-item
2023-04-11 10:17:21	ga_s2bm_ard_3-2-1_53HQV_2023-04-11_final.stac-item
2023-04-11 11:51:34	ga_s2bm_ard_3-2-1_50LRK_2023-04-11_nrt.stac-item
2023-04-11 11:55:51	ga_s2bm_ard_3-2-1_50JNN_2023-04-11_final.stac-item
2023-04-11 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2023-04-11_final.stac-item
2023-04-12 09:45:05	ga_s2bm_ard_3-2-1_55JEH_2023-04-12_final.stac-item
2023-04-12 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2023-04-12_final.stac-item
2023-04-12 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2023-04-12_final.stac-item
2023-04-12 11:25:47	ga_s2bm_ard_3-2-1_51JVH_2023-04-12_final.stac-item
2023-04-13 10:55:35	ga_s2bm_ard_3-2-1_52JEN_2023-04-13_final.stac-item
2023-04-14 10:25:11	ga_s2bm_ard_3-2-1_54JVN_2023-04-14_final.stac-item
2023-04-14 10:27:13	ga_s2bm_ard_3-2-1_53HQV_2023-04-14_final.stac-item
2023-04-14 10:27:17	ga_s2bm_ard_3-2-1_53HNV_2023-04-14_nrt.stac-item
2023-04-15 09:55:00	ga_s2bm_ard_3-2-1_55JDH_2023-04-15_final.stac-item
2023-04-15 09:55:07	ga_s2bm_ard_3-2-1_55JDH_2023-04-15_final.stac-item
2023-04-15 09:57:07	ga_s2bm_ard_3-2-1_55HBV_2023-04-15_final.stac-item
2023-04-15 11:35:42	ga_s2bm_ard_3-2-1_51JVH_2023-04-15_final.stac-item
2023-04-16 11:05:32	ga_s2bm_ard_3-2-1_52JEN_2023-04-16_final.stac-item
2023-04-17 10:35:24	ga_s2bm_ard_3-2-1_53JNH_2023-04-17_final.stac-item
2023-04-18 10:00:42	ga_s2bm_ard_3-2-1_55LGE_2023-04-18_nrt.stac-item
2023-04-18 10:04:56	ga_s2bm_ard_3-2-1_54JYP_2023-04-18_final.stac-item
2023-04-18 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2023-04-18_final.stac-item
2023-04-19 09:34:45	ga_s2bm_ard_3-2-1_56JNN_2023-04-19_final.stac-item
2023-04-19 09:34:53	ga_s2bm_ard_3-2-1_56JMN_2023-04-19_final.stac-item
2023-04-19 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2023-04-19_final.stac-item
2023-04-20 10:41:02	ga_s2bm_ard_3-2-1_54LTK_2023-04-20_nrt.stac-item
2023-04-20 10:41:04	ga_s2bm_ard_3-2-1_53LRE_2023-04-20_nrt.stac-item
2023-04-20 10:45:16	ga_s2bm_ard_3-2-1_53JKJ_2023-04-20_final.stac-item
2023-04-20 10:45:21	ga_s2bm_ard_3-2-1_53JNH_2023-04-20_final.stac-item
2023-04-21 10:14:59	ga_s2bm_ard_3-2-1_54JYN_2023-04-21_final.stac-item
2023-04-21 10:15:14	ga_s2bm_ard_3-2-1_54JWN_2023-04-21_final.stac-item
2023-04-21 10:15:17	ga_s2bm_ard_3-2-1_54JVN_2023-04-21_final.stac-item
2023-04-21 10:15:21	ga_s2bm_ard_3-2-1_54JUN_2023-04-21_final.stac-item
2023-04-21 10:17:20	ga_s2bm_ard_3-2-1_54HTE_2023-04-21_final.stac-item
2023-04-21 10:17:21	ga_s2bm_ard_3-2-1_53HQV_2023-04-21_final.stac-item
2023-04-21 11:51:35	ga_s2bm_ard_3-2-1_50LRK_2023-04-21_nrt.stac-item
2023-04-21 11:55:51	ga_s2bm_ard_3-2-1_50JNN_2023-04-21_final.stac-item
2023-04-21 11:55:55	ga_s2bm_ard_3-2-1_50JMN_2023-04-21_final.stac-item
2023-04-22 09:45:06	ga_s2bm_ard_3-2-1_55JEH_2023-04-22_final.stac-item
2023-04-22 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2023-04-22_final.stac-item
2023-04-22 11:25:44	ga_s2bm_ard_3-2-1_51JWH_2023-04-22_final.stac-item
2023-04-22 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2023-04-22_final.stac-item
2023-04-23 10:55:12	ga_s2bm_ard_3-2-1_53JKJ_2023-04-23_final.stac-item
2023-04-23 10:55:37	ga_s2bm_ard_3-2-1_52JEN_2023-04-23_final.stac-item
2023-04-24 10:27:14	ga_s2bm_ard_3-2-1_54HTE_2023-04-24_final.stac-item
2023-04-24 10:27:15	ga_s2bm_ard_3-2-1_53HQV_2023-04-24_final.stac-item
2023-04-24 10:27:19	ga_s2bm_ard_3-2-1_53HNV_2023-04-24_nrt.stac-item
2023-04-25 09:55:01	ga_s2bm_ard_3-2-1_55JDH_2023-04-25_final.stac-item
2023-04-25 09:55:08	ga_s2bm_ard_3-2-1_55JDH_2023-04-25_final.stac-item
2023-04-25 09:57:08	ga_s2bm_ard_3-2-1_55HBV_2023-04-25_final.stac-item
2023-04-25 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2023-04-25_final.stac-item
2023-04-26 09:24:54	ga_s2bm_ard_3-2-1_56JNN_2023-04-25_final.stac-item
2023-04-26 09:24:58	ga_s2bm_ard_3-2-1_56JMN_2023-04-25_final.stac-item
2023-04-26 11:05:32	ga_s2bm_ard_3-2-1_52JEN_2023-04-26_final.stac-item
2023-04-27 10:35:25	ga_s2bm_ard_3-2-1_53JNH_2023-04-27_final.stac-item
2023-04-27 10:37:10	ga_s2bm_ard_3-2-1_53HNV_2023-04-27_nrt.stac-item
2023-04-28 10:00:42	ga_s2bm_ard_3-2-1_55LGE_2023-04-28_nrt.stac-item
2023-04-28 10:04:56	ga_s2bm_ard_3-2-1_54JYP_2023-04-28_final.stac-item
2023-04-28 11:45:55	ga_s2bm_ard_3-2-1_50JNN_2023-04-28_final.stac-item
2023-04-29 09:34:53	ga_s2bm_ard_3-2-1_56JMN_2023-04-29_final.stac-item
2023-04-29 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2023-04-29_final.stac-item
2023-04-30 10:41:02	ga_s2bm_ard_3-2-1_54LTK_2023-04-30_nrt.stac-item
2023-04-30 10:41:04	ga_s2bm_ard_3-2-1_53LRE_2023-04-30_nrt.stac-item

Return to ga_s2bm_ard_3 across April 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

April

All days