Search ga_s2bm_ard_3 across December 2019

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
2019-12-01 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-01_final
2019-12-01 12:04:44	ga_s2bm_ard_3-2-1_50JMS_2019-12-01_final
2019-12-02 09:54:17	ga_s2bm_ard_3-2-1_55JCL_2019-12-02_final
2019-12-02 09:55:06	ga_s2bm_ard_3-2-1_55JBH_2019-12-02_final
2019-12-02 09:55:24	ga_s2bm_ard_3-2-1_55JEF_2019-12-02_final
2019-12-02 11:34:00	ga_s2bm_ard_3-2-1_51KXP_2019-12-02_final
2019-12-03 11:03:02	ga_s2bm_ard_3-2-1_53KKS_2019-12-03_final
2019-12-03 11:03:07	ga_s2bm_ard_3-2-1_52KGB_2019-12-03_final
2019-12-04 10:32:56	ga_s2bm_ard_3-2-1_54KTB_2019-12-04_final
2019-12-04 10:33:00	ga_s2bm_ard_3-2-1_53KQS_2019-12-04_final
2019-12-05 10:02:48	ga_s2bm_ard_3-2-1_55KBS_2019-12-05_final
2019-12-05 10:04:12	ga_s2bm_ard_3-2-1_55JCL_2019-12-05_final
2019-12-05 10:05:00	ga_s2bm_ard_3-2-1_55JBH_2019-12-05_final
2019-12-05 11:44:17	ga_s2bm_ard_3-2-1_50KPU_2019-12-05_final
2019-12-06 09:35:15	ga_s2bm_ard_3-2-1_56JML_2019-12-06_final
2019-12-06 09:38:20	ga_s2bm_ard_3-2-1_55GFP_2019-12-06_final
2019-12-06 11:13:23	ga_s2bm_ard_3-2-1_51KZS_2019-12-06_final
2019-12-07 10:42:55	ga_s2bm_ard_3-2-1_53KQS_2019-12-07_final
2019-12-07 10:44:18	ga_s2bm_ard_3-2-1_53JMM_2019-12-07_final
2019-12-07 10:45:23	ga_s2bm_ard_3-2-1_53JKH_2019-12-07_final
2019-12-08 10:13:35	ga_s2bm_ard_3-2-1_54KXU_2019-12-08_final
2019-12-08 11:54:13	ga_s2bm_ard_3-2-1_50KPU_2019-12-08_final
2019-12-08 11:54:49	ga_s2bm_ard_3-2-1_50JMS_2019-12-08_final
2019-12-09 09:42:37	ga_s2bm_ard_3-2-1_56KKB_2019-12-09_final
2019-12-09 09:45:27	ga_s2bm_ard_3-2-1_55JEF_2019-12-09_final
2019-12-09 11:23:15	ga_s2bm_ard_3-2-1_52KBB_2019-12-09_final
2019-12-09 11:24:06	ga_s2bm_ard_3-2-1_51KXP_2019-12-09_final
2019-12-10 10:53:08	ga_s2bm_ard_3-2-1_53KKS_2019-12-10_final
2019-12-10 10:53:15	ga_s2bm_ard_3-2-1_52KGB_2019-12-10_final
2019-12-10 10:55:18	ga_s2bm_ard_3-2-1_53JKH_2019-12-10_final
2019-12-10 10:55:25	ga_s2bm_ard_3-2-1_53JKH_2019-12-10_final
2019-12-11 12:03:38	ga_s2bm_ard_3-2-1_50KKB_2019-12-11_final
2019-12-11 12:04:43	ga_s2bm_ard_3-2-1_50JMS_2019-12-11_final
2019-12-12 09:54:17	ga_s2bm_ard_3-2-1_55JCL_2019-12-12_final
2019-12-12 09:55:05	ga_s2bm_ard_3-2-1_55JBH_2019-12-12_final
2019-12-12 09:55:23	ga_s2bm_ard_3-2-1_55JEF_2019-12-12_final
2019-12-12 11:34:00	ga_s2bm_ard_3-2-1_51KXP_2019-12-12_final
2019-12-13 09:25:16	ga_s2bm_ard_3-2-1_56JNL_2019-12-12_final
2019-12-13 11:03:02	ga_s2bm_ard_3-2-1_53KKS_2019-12-13_final
2019-12-13 11:03:07	ga_s2bm_ard_3-2-1_52KGB_2019-12-13_final
2019-12-14 10:32:56	ga_s2bm_ard_3-2-1_54KTB_2019-12-14_final
2019-12-14 10:33:00	ga_s2bm_ard_3-2-1_53KQS_2019-12-14_final
2019-12-15 10:02:49	ga_s2bm_ard_3-2-1_55KBS_2019-12-15_final
2019-12-15 10:04:13	ga_s2bm_ard_3-2-1_55JCL_2019-12-15_final
2019-12-15 10:05:00	ga_s2bm_ard_3-2-1_55JBH_2019-12-15_final
2019-12-15 11:43:27	ga_s2bm_ard_3-2-1_51KTS_2019-12-15_final
2019-12-15 11:44:13	ga_s2bm_ard_3-2-1_50KPU_2019-12-15_final
2019-12-15 11:44:19	ga_s2bm_ard_3-2-1_50KPU_2019-12-15_final
2019-12-16 09:35:16	ga_s2bm_ard_3-2-1_56JML_2019-12-16_final
2019-12-16 09:38:21	ga_s2bm_ard_3-2-1_55GFP_2019-12-16_final
2019-12-16 11:13:20	ga_s2bm_ard_3-2-1_52KBB_2019-12-16_final
2019-12-16 11:13:23	ga_s2bm_ard_3-2-1_51KZS_2019-12-16_final
2019-12-16 11:14:26	ga_s2bm_ard_3-2-1_52JDS_2019-12-16_final
2019-12-17 10:42:56	ga_s2bm_ard_3-2-1_53KQS_2019-12-17_final
2019-12-17 10:44:19	ga_s2bm_ard_3-2-1_53JMM_2019-12-17_final
2019-12-17 10:45:24	ga_s2bm_ard_3-2-1_53JKH_2019-12-17_final
2019-12-18 10:13:36	ga_s2bm_ard_3-2-1_54KXU_2019-12-18_final
2019-12-18 11:54:14	ga_s2bm_ard_3-2-1_50KPU_2019-12-18_final
2019-12-18 11:54:50	ga_s2bm_ard_3-2-1_50JMS_2019-12-18_final
2019-12-19 09:42:38	ga_s2bm_ard_3-2-1_56KKB_2019-12-19_final
2019-12-19 09:45:28	ga_s2bm_ard_3-2-1_55JEF_2019-12-19_final
2019-12-19 11:23:15	ga_s2bm_ard_3-2-1_52KBB_2019-12-19_final
2019-12-19 11:24:06	ga_s2bm_ard_3-2-1_51KXP_2019-12-19_final
2019-12-20 10:53:08	ga_s2bm_ard_3-2-1_53KKS_2019-12-20_final
2019-12-20 10:53:15	ga_s2bm_ard_3-2-1_52KGB_2019-12-20_final
2019-12-20 10:55:19	ga_s2bm_ard_3-2-1_53JKH_2019-12-20_final
2019-12-21 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-21_final
2019-12-21 12:04:44	ga_s2bm_ard_3-2-1_50JMS_2019-12-21_final
2019-12-22 09:54:18	ga_s2bm_ard_3-2-1_55JCL_2019-12-22_final
2019-12-22 09:55:06	ga_s2bm_ard_3-2-1_55JBH_2019-12-22_final
2019-12-22 09:55:24	ga_s2bm_ard_3-2-1_55JEF_2019-12-22_final
2019-12-22 11:34:00	ga_s2bm_ard_3-2-1_51KXP_2019-12-22_final
2019-12-23 09:25:17	ga_s2bm_ard_3-2-1_56JNL_2019-12-22_final
2019-12-23 11:03:03	ga_s2bm_ard_3-2-1_53KKS_2019-12-23_final
2019-12-23 11:03:08	ga_s2bm_ard_3-2-1_52KGB_2019-12-23_final
2019-12-24 10:32:57	ga_s2bm_ard_3-2-1_54KTB_2019-12-24_final
2019-12-24 10:33:01	ga_s2bm_ard_3-2-1_53KQS_2019-12-24_final
2019-12-25 10:02:49	ga_s2bm_ard_3-2-1_55KBS_2019-12-25_final
2019-12-25 10:04:14	ga_s2bm_ard_3-2-1_55JCL_2019-12-25_final
2019-12-25 10:05:01	ga_s2bm_ard_3-2-1_55JBH_2019-12-25_final
2019-12-25 11:43:27	ga_s2bm_ard_3-2-1_51KTS_2019-12-25_final
2019-12-25 11:44:17	ga_s2bm_ard_3-2-1_50KPU_2019-12-25_final
2019-12-25 11:44:23	ga_s2bm_ard_3-2-1_50KPU_2019-12-25_final
2019-12-26 09:35:16	ga_s2bm_ard_3-2-1_56JML_2019-12-26_final
2019-12-26 11:14:26	ga_s2bm_ard_3-2-1_52JDS_2019-12-26_final
2019-12-27 10:42:56	ga_s2bm_ard_3-2-1_53KQS_2019-12-27_final
2019-12-27 10:44:19	ga_s2bm_ard_3-2-1_53JMM_2019-12-27_final
2019-12-27 10:45:24	ga_s2bm_ard_3-2-1_53JKH_2019-12-27_final
2019-12-28 10:13:36	ga_s2bm_ard_3-2-1_54KXU_2019-12-28_final
2019-12-28 11:54:14	ga_s2bm_ard_3-2-1_50KPU_2019-12-28_final
2019-12-28 11:54:23	ga_s2bm_ard_3-2-1_50KPU_2019-12-28_final
2019-12-28 11:54:50	ga_s2bm_ard_3-2-1_50JMS_2019-12-28_final
2019-12-29 09:45:28	ga_s2bm_ard_3-2-1_55JEF_2019-12-29_final
2019-12-29 11:23:16	ga_s2bm_ard_3-2-1_52KBB_2019-12-29_final
2019-12-29 11:24:07	ga_s2bm_ard_3-2-1_51KXP_2019-12-29_final
2019-12-30 10:53:08	ga_s2bm_ard_3-2-1_53KKS_2019-12-30_final
2019-12-30 10:53:16	ga_s2bm_ard_3-2-1_52KGB_2019-12-30_final
2019-12-30 10:55:19	ga_s2bm_ard_3-2-1_53JKH_2019-12-30_final
2019-12-31 10:25:12	ga_s2bm_ard_3-2-1_54JTN_2019-12-31_final
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-31_final

Return to ga_s2bm_ard_3 across December 2019 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

2019

December

All days