Search ga_s2bm_ard_3 across May 2022

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
2022-05-02 10:34:01	ga_s2bm_ard_3-2-1_53JPN_2022-05-02_final
2022-05-02 10:34:08	ga_s2bm_ard_3-2-1_53JNN_2022-05-02_final
2022-05-02 10:36:33	ga_s2bm_ard_3-2-1_53HMC_2022-05-02_final.stac-item
2022-05-03 11:44:22	ga_s2bm_ard_3-2-1_51JUN_2022-05-03_final
2022-05-04 09:33:37	ga_s2bm_ard_3-2-1_56JLT_2022-05-04_final
2022-05-04 09:34:24	ga_s2bm_ard_3-2-1_56JKQ_2022-05-04_final
2022-05-04 09:35:52	ga_s2bm_ard_3-2-1_56HKJ_2022-05-04_final
2022-05-04 11:14:12	ga_s2bm_ard_3-2-1_52JDT_2022-05-04_final
2022-05-04 11:15:02	ga_s2bm_ard_3-2-1_52JBQ_2022-05-04_final.stac-item
2022-05-04 11:17:01	ga_s2bm_ard_3-2-1_51HWB_2022-05-04_final.stac-item
2022-05-05 10:41:41	ga_s2bm_ard_3-2-1_53KRB_2022-05-05_final
2022-05-05 10:43:58	ga_s2bm_ard_3-2-1_53JPN_2022-05-05_final
2022-05-05 10:44:02	ga_s2bm_ard_3-2-1_53JNN_2022-05-05_final
2022-05-05 10:44:05	ga_s2bm_ard_3-2-1_53JMN_2022-05-05_final
2022-05-05 10:44:08	ga_s2bm_ard_3-2-1_53JLN_2022-05-05_final
2022-05-05 10:44:52	ga_s2bm_ard_3-2-1_53JKK_2022-05-05_final
2022-05-05 10:44:58	ga_s2bm_ard_3-2-1_53JKK_2022-05-05_final
2022-05-05 10:46:26	ga_s2bm_ard_3-2-1_53HMC_2022-05-05_final.stac-item
2022-05-06 10:13:51	ga_s2bm_ard_3-2-1_54JXT_2022-05-06_final
2022-05-06 11:54:33	ga_s2bm_ard_3-2-1_50JNT_2022-05-06_final
2022-05-06 11:54:36	ga_s2bm_ard_3-2-1_50JMT_2022-05-06_final
2022-05-06 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2022-05-06_final
2022-05-07 09:42:36	ga_s2bm_ard_3-2-1_56KLB_2022-05-07_final
2022-05-07 09:43:34	ga_s2bm_ard_3-2-1_56JLT_2022-05-07_final
2022-05-07 11:24:26	ga_s2bm_ard_3-2-1_51JWN_2022-05-07_final
2022-05-08 10:53:56	ga_s2bm_ard_3-2-1_53JMN_2022-05-08_final
2022-05-08 10:54:52	ga_s2bm_ard_3-2-1_53JKK_2022-05-08_final
2022-05-08 10:55:00	ga_s2bm_ard_3-2-1_53JKK_2022-05-08_final
2022-05-09 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2022-05-09_final
2022-05-09 12:04:39	ga_s2bm_ard_3-2-1_50JMT_2022-05-09_final
2022-05-09 12:04:40	ga_s2bm_ard_3-2-1_50JMS_2022-05-09_final
2022-05-10 09:53:55	ga_s2bm_ard_3-2-1_55JCN_2022-05-10_final
2022-05-10 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2022-05-10_final
2022-05-10 11:35:16	ga_s2bm_ard_3-2-1_51JTK_2022-05-10_final
2022-05-12 10:33:50	ga_s2bm_ard_3-2-1_54JUT_2022-05-12_final
2022-05-12 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2022-05-12_final
2022-05-12 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2022-05-12_final
2022-05-12 10:36:37	ga_s2bm_ard_3-2-1_53HMC_2022-05-12_final.stac-item
2022-05-12 12:13:45	ga_s2bm_ard_3-2-1_49KHS_2022-05-12_final.stac-item
2022-05-13 10:03:48	ga_s2bm_ard_3-2-1_55JCN_2022-05-13_final
2022-05-14 09:32:47	ga_s2bm_ard_3-2-1_56KLB_2022-05-14_final
2022-05-14 09:33:41	ga_s2bm_ard_3-2-1_56JLT_2022-05-14_final
2022-05-14 09:34:28	ga_s2bm_ard_3-2-1_56JKQ_2022-05-14_final
2022-05-14 09:35:55	ga_s2bm_ard_3-2-1_56HKJ_2022-05-14_final
2022-05-14 11:14:15	ga_s2bm_ard_3-2-1_52JDT_2022-05-14_final
2022-05-14 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2022-05-14_final
2022-05-14 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2022-05-14_final.stac-item
2022-05-15 10:41:44	ga_s2bm_ard_3-2-1_53KRB_2022-05-15_final
2022-05-15 10:44:02	ga_s2bm_ard_3-2-1_53JPN_2022-05-15_final
2022-05-15 10:44:05	ga_s2bm_ard_3-2-1_53JNN_2022-05-15_final
2022-05-15 10:44:09	ga_s2bm_ard_3-2-1_53JMN_2022-05-15_final
2022-05-15 10:44:11	ga_s2bm_ard_3-2-1_53JLN_2022-05-15_final
2022-05-15 10:44:56	ga_s2bm_ard_3-2-1_53JKK_2022-05-15_final
2022-05-15 10:45:02	ga_s2bm_ard_3-2-1_53JKK_2022-05-15_final
2022-05-16 10:13:55	ga_s2bm_ard_3-2-1_54JXT_2022-05-16_final
2022-05-16 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2022-05-16_final
2022-05-16 11:54:39	ga_s2bm_ard_3-2-1_50JMT_2022-05-16_final
2022-05-16 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-05-16_final
2022-05-17 09:42:39	ga_s2bm_ard_3-2-1_56KLB_2022-05-17_final
2022-05-17 09:43:37	ga_s2bm_ard_3-2-1_56JLT_2022-05-17_final
2022-05-17 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2022-05-17_final
2022-05-17 11:27:11	ga_s2bm_ard_3-2-1_51HUB_2022-05-17_final.stac-item
2022-05-18 10:53:59	ga_s2bm_ard_3-2-1_53JMN_2022-05-18_final
2022-05-18 10:54:55	ga_s2bm_ard_3-2-1_53JKK_2022-05-18_final
2022-05-18 10:55:03	ga_s2bm_ard_3-2-1_53JKK_2022-05-18_final
2022-05-19 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2022-05-19_final
2022-05-20 09:53:57	ga_s2bm_ard_3-2-1_55JCN_2022-05-20_final
2022-05-20 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2022-05-20_final
2022-05-20 11:35:19	ga_s2bm_ard_3-2-1_51JTK_2022-05-20_final
2022-05-22 10:34:07	ga_s2bm_ard_3-2-1_53JPN_2022-05-22_final
2022-05-22 10:34:13	ga_s2bm_ard_3-2-1_53JNN_2022-05-22_final
2022-05-22 10:36:39	ga_s2bm_ard_3-2-1_53HMC_2022-05-22_final.stac-item
2022-05-23 10:03:50	ga_s2bm_ard_3-2-1_55JCN_2022-05-23_final
2022-05-23 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2022-05-23_final
2022-05-24 09:32:49	ga_s2bm_ard_3-2-1_56KLB_2022-05-24_final
2022-05-24 09:33:43	ga_s2bm_ard_3-2-1_56JLT_2022-05-24_final
2022-05-24 09:34:29	ga_s2bm_ard_3-2-1_56JKQ_2022-05-24_final
2022-05-24 09:35:57	ga_s2bm_ard_3-2-1_56HKJ_2022-05-24_final
2022-05-24 11:14:17	ga_s2bm_ard_3-2-1_52JDT_2022-05-24_final
2022-05-24 11:15:07	ga_s2bm_ard_3-2-1_52JBQ_2022-05-24_final
2022-05-25 10:41:45	ga_s2bm_ard_3-2-1_53KRB_2022-05-25_final
2022-05-25 10:44:03	ga_s2bm_ard_3-2-1_53JPN_2022-05-25_final
2022-05-25 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2022-05-25_final
2022-05-25 10:44:10	ga_s2bm_ard_3-2-1_53JMN_2022-05-25_final
2022-05-25 10:44:13	ga_s2bm_ard_3-2-1_53JLN_2022-05-25_final
2022-05-25 10:45:03	ga_s2bm_ard_3-2-1_53JKK_2022-05-25_final
2022-05-26 10:13:56	ga_s2bm_ard_3-2-1_54JXT_2022-05-26_final
2022-05-26 11:54:37	ga_s2bm_ard_3-2-1_50JNT_2022-05-26_final
2022-05-26 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2022-05-26_final
2022-05-26 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2022-05-26_final
2022-05-27 09:42:40	ga_s2bm_ard_3-2-1_56KLB_2022-05-27_final
2022-05-27 09:43:38	ga_s2bm_ard_3-2-1_56JLT_2022-05-27_final
2022-05-27 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2022-05-27_final
2022-05-28 10:54:00	ga_s2bm_ard_3-2-1_53JMN_2022-05-28_final
2022-05-28 10:54:55	ga_s2bm_ard_3-2-1_53JKK_2022-05-28_final
2022-05-28 10:55:02	ga_s2bm_ard_3-2-1_53JKK_2022-05-28_final
2022-05-29 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2022-05-29_final
2022-05-29 12:04:42	ga_s2bm_ard_3-2-1_50JMT_2022-05-29_final
2022-05-30 09:53:58	ga_s2bm_ard_3-2-1_55JCN_2022-05-30_final
2022-05-30 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2022-05-30_final

Return to ga_s2bm_ard_3 across May 2022 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

2022

May

All days