Search ga_s2bm_ard_3 across January 2021

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
2021-01-01 10:16:55	ga_s2bm_ard_3-2-1_54HVF_2021-01-01_final
2021-01-01 11:55:37	ga_s2bm_ard_3-2-1_50JMP_2021-01-01_final
2021-01-01 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2021-01-01_final
2021-01-01 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2021-01-01_final
2021-01-02 09:44:34	ga_s2bm_ard_3-2-1_55JEK_2021-01-02_final
2021-01-02 09:45:36	ga_s2bm_ard_3-2-1_55JDF_2021-01-02_final
2021-01-02 09:47:49	ga_s2bm_ard_3-2-1_55HCS_2021-01-02_final
2021-01-02 09:47:52	ga_s2bm_ard_3-2-1_55HBS_2021-01-02_final
2021-01-02 09:47:53	ga_s2bm_ard_3-2-1_54HYB_2021-01-02_final
2021-01-02 11:25:29	ga_s2bm_ard_3-2-1_51JVJ_2021-01-02_final
2021-01-05 09:54:30	ga_s2bm_ard_3-2-1_55JEK_2021-01-05_final
2021-01-05 09:54:33	ga_s2bm_ard_3-2-1_55JDK_2021-01-05_final
2021-01-05 09:55:31	ga_s2bm_ard_3-2-1_55JDF_2021-01-05_final
2021-01-05 09:57:46	ga_s2bm_ard_3-2-1_55HCS_2021-01-05_final
2021-01-05 09:57:49	ga_s2bm_ard_3-2-1_55HBS_2021-01-05_final
2021-01-05 09:57:50	ga_s2bm_ard_3-2-1_54HYB_2021-01-05_final
2021-01-05 11:35:25	ga_s2bm_ard_3-2-1_51JVJ_2021-01-05_final
2021-01-06 09:24:27	ga_s2bm_ard_3-2-1_56JMQ_2021-01-05_final
2021-01-06 09:25:06	ga_s2bm_ard_3-2-1_56JNM_2021-01-05_final
2021-01-06 09:25:24	ga_s2bm_ard_3-2-1_56JML_2021-01-05_final
2021-01-06 09:27:48	ga_s2bm_ard_3-2-1_55HFS_2021-01-05_final.stac-item
2021-01-07 10:35:14	ga_s2bm_ard_3-2-1_53JMJ_2021-01-07_final
2021-01-08 10:04:23	ga_s2bm_ard_3-2-1_55JDK_2021-01-08_final
2021-01-08 10:07:00	ga_s2bm_ard_3-2-1_54HVF_2021-01-08_final
2021-01-08 11:45:38	ga_s2bm_ard_3-2-1_50JNP_2021-01-08_final
2021-01-08 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2021-01-08_final
2021-01-08 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2021-01-08_final
2021-01-09 09:34:22	ga_s2bm_ard_3-2-1_56JMQ_2021-01-09_final
2021-01-09 09:37:43	ga_s2bm_ard_3-2-1_55HFS_2021-01-09_final.stac-item
2021-01-10 10:45:07	ga_s2bm_ard_3-2-1_53JMJ_2021-01-10_final
2021-01-11 10:16:56	ga_s2bm_ard_3-2-1_54HVF_2021-01-11_final
2021-01-11 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2021-01-11_final
2021-01-11 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2021-01-11_final
2021-01-11 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-01-11_final
2021-01-12 09:44:35	ga_s2bm_ard_3-2-1_55JEK_2021-01-12_final
2021-01-12 09:45:37	ga_s2bm_ard_3-2-1_55JDF_2021-01-12_final
2021-01-12 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2021-01-12_final
2021-01-12 09:47:53	ga_s2bm_ard_3-2-1_55HBS_2021-01-12_final
2021-01-12 09:47:54	ga_s2bm_ard_3-2-1_54HYB_2021-01-12_final
2021-01-12 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2021-01-12_final
2021-01-12 11:27:10	ga_s2bm_ard_3-2-1_51HVB_2021-01-12_final.stac-item
2021-01-15 09:54:31	ga_s2bm_ard_3-2-1_55JEK_2021-01-15_final
2021-01-15 09:54:34	ga_s2bm_ard_3-2-1_55JDK_2021-01-15_final
2021-01-15 09:55:32	ga_s2bm_ard_3-2-1_55JDF_2021-01-15_final
2021-01-15 09:57:47	ga_s2bm_ard_3-2-1_55HCS_2021-01-15_final
2021-01-15 09:57:50	ga_s2bm_ard_3-2-1_55HBS_2021-01-15_final
2021-01-15 09:57:50	ga_s2bm_ard_3-2-1_54HYB_2021-01-15_final
2021-01-15 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2021-01-15_final
2021-01-16 09:24:28	ga_s2bm_ard_3-2-1_56JMQ_2021-01-15_final
2021-01-16 09:25:07	ga_s2bm_ard_3-2-1_56JNM_2021-01-15_final
2021-01-16 09:25:25	ga_s2bm_ard_3-2-1_56JML_2021-01-15_final
2021-01-16 09:27:49	ga_s2bm_ard_3-2-1_55HFS_2021-01-15_final.stac-item
2021-01-17 10:35:12	ga_s2bm_ard_3-2-1_53JMJ_2021-01-17_final
2021-01-17 10:35:16	ga_s2bm_ard_3-2-1_53JMJ_2021-01-17_final
2021-01-18 10:04:23	ga_s2bm_ard_3-2-1_55JDK_2021-01-18_final
2021-01-18 10:07:00	ga_s2bm_ard_3-2-1_54HVF_2021-01-18_final
2021-01-18 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2021-01-18_final
2021-01-18 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2021-01-18_final
2021-01-18 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2021-01-18_final
2021-01-19 09:34:23	ga_s2bm_ard_3-2-1_56JMQ_2021-01-19_final
2021-01-19 09:37:43	ga_s2bm_ard_3-2-1_55HFS_2021-01-19_final.stac-item
2021-01-20 10:45:04	ga_s2bm_ard_3-2-1_53JMJ_2021-01-20_final
2021-01-20 10:45:11	ga_s2bm_ard_3-2-1_53JMJ_2021-01-20_final
2021-01-21 10:16:56	ga_s2bm_ard_3-2-1_54HVF_2021-01-21_final
2021-01-21 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2021-01-21_final
2021-01-21 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2021-01-21_final
2021-01-21 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-01-21_final
2021-01-22 09:44:36	ga_s2bm_ard_3-2-1_55JEK_2021-01-22_final
2021-01-22 09:45:37	ga_s2bm_ard_3-2-1_55JDF_2021-01-22_final
2021-01-22 09:47:50	ga_s2bm_ard_3-2-1_55HCS_2021-01-22_final
2021-01-22 09:47:54	ga_s2bm_ard_3-2-1_55HBS_2021-01-22_final
2021-01-22 09:47:55	ga_s2bm_ard_3-2-1_54HYB_2021-01-22_final
2021-01-22 11:25:31	ga_s2bm_ard_3-2-1_51JVJ_2021-01-22_final
2021-01-22 11:27:10	ga_s2bm_ard_3-2-1_51HVB_2021-01-22_final.stac-item
2021-01-24 10:24:56	ga_s2bm_ard_3-2-1_54JVP_2021-01-24_final
2021-01-25 09:54:31	ga_s2bm_ard_3-2-1_55JEK_2021-01-25_final
2021-01-25 09:54:34	ga_s2bm_ard_3-2-1_55JDK_2021-01-25_final
2021-01-25 09:55:32	ga_s2bm_ard_3-2-1_55JDF_2021-01-25_final
2021-01-25 09:57:47	ga_s2bm_ard_3-2-1_55HCS_2021-01-25_final
2021-01-25 09:57:50	ga_s2bm_ard_3-2-1_55HBS_2021-01-25_final
2021-01-25 09:57:51	ga_s2bm_ard_3-2-1_54HYB_2021-01-25_final
2021-01-25 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2021-01-25_final
2021-01-26 09:24:28	ga_s2bm_ard_3-2-1_56JMQ_2021-01-25_final
2021-01-26 09:25:07	ga_s2bm_ard_3-2-1_56JNM_2021-01-25_final
2021-01-26 09:25:25	ga_s2bm_ard_3-2-1_56JML_2021-01-25_final
2021-01-26 09:27:49	ga_s2bm_ard_3-2-1_55HFS_2021-01-25_final.stac-item
2021-01-27 10:35:15	ga_s2bm_ard_3-2-1_53JMJ_2021-01-27_final
2021-01-27 10:37:08	ga_s2bm_ard_3-2-1_53HPV_2021-01-27_final.stac-item
2021-01-28 10:04:23	ga_s2bm_ard_3-2-1_55JDK_2021-01-28_final
2021-01-28 10:07:00	ga_s2bm_ard_3-2-1_54HVF_2021-01-28_final
2021-01-28 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2021-01-28_final
2021-01-28 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2021-01-28_final
2021-01-28 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2021-01-28_final
2021-01-29 09:34:22	ga_s2bm_ard_3-2-1_56JMQ_2021-01-29_final
2021-01-29 09:37:43	ga_s2bm_ard_3-2-1_55HFS_2021-01-29_final.stac-item
2021-01-29 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2021-01-29_final.stac-item
2021-01-30 10:45:08	ga_s2bm_ard_3-2-1_53JMJ_2021-01-30_final
2021-01-31 10:16:56	ga_s2bm_ard_3-2-1_54HVF_2021-01-31_final
2021-01-31 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2021-01-31_final
2021-01-31 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2021-01-31_final

Return to ga_s2bm_ard_3 across January 2021 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

2021

January

All days