Search ga_s2bm_ard_3 across May 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
2019-05-01 10:44:36	ga_s2bm_ard_3-2-1_53JPL_2019-05-01_final
2019-05-01 10:44:50	ga_s2bm_ard_3-2-1_53JLL_2019-05-01_final
2019-05-01 10:45:39	ga_s2bm_ard_3-2-1_53JNG_2019-05-01_final
2019-05-01 10:45:44	ga_s2bm_ard_3-2-1_53JMG_2019-05-01_final
2019-05-02 10:14:32	ga_s2bm_ard_3-2-1_54JXR_2019-05-02_final
2019-05-02 10:15:34	ga_s2bm_ard_3-2-1_54JWM_2019-05-02_final
2019-05-02 10:15:37	ga_s2bm_ard_3-2-1_54JVM_2019-05-02_final
2019-05-02 11:55:10	ga_s2bm_ard_3-2-1_50JPR_2019-05-02_final
2019-05-02 11:55:49	ga_s2bm_ard_3-2-1_50JLP_2019-05-02_final
2019-05-02 11:56:15	ga_s2bm_ard_3-2-1_50JMM_2019-05-02_final
2019-05-03 09:44:13	ga_s2bm_ard_3-2-1_56JLR_2019-05-03_final
2019-05-03 09:44:25	ga_s2bm_ard_3-2-1_55JFL_2019-05-03_final
2019-05-03 11:25:03	ga_s2bm_ard_3-2-1_51JXL_2019-05-03_final
2019-05-03 11:26:05	ga_s2bm_ard_3-2-1_51JWG_2019-05-03_final
2019-05-03 11:26:08	ga_s2bm_ard_3-2-1_51JVG_2019-05-03_final
2019-05-04 10:54:55	ga_s2bm_ard_3-2-1_52JFR_2019-05-04_final
2019-05-05 10:24:38	ga_s2bm_ard_3-2-1_54JUR_2019-05-05_final
2019-05-05 10:25:32	ga_s2bm_ard_3-2-1_54JVM_2019-05-05_final
2019-05-05 12:05:16	ga_s2bm_ard_3-2-1_50JLR_2019-05-05_final
2019-05-05 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-05_final
2019-05-06 09:54:21	ga_s2bm_ard_3-2-1_55JFL_2019-05-06_final
2019-05-06 09:55:00	ga_s2bm_ard_3-2-1_55JCJ_2019-05-06_final
2019-05-06 11:35:38	ga_s2bm_ard_3-2-1_51JUJ_2019-05-06_final
2019-05-07 09:25:15	ga_s2bm_ard_3-2-1_56JNM_2019-05-06_final
2019-05-07 09:25:19	ga_s2bm_ard_3-2-1_56JMM_2019-05-06_final
2019-05-07 11:04:51	ga_s2bm_ard_3-2-1_52JFR_2019-05-07_final
2019-05-07 11:05:31	ga_s2bm_ard_3-2-1_52JCP_2019-05-07_final
2019-05-08 10:34:44	ga_s2bm_ard_3-2-1_53JPL_2019-05-08_final
2019-05-08 10:35:49	ga_s2bm_ard_3-2-1_53JMG_2019-05-08_final
2019-05-09 10:04:41	ga_s2bm_ard_3-2-1_54JXR_2019-05-09_final
2019-05-09 10:04:56	ga_s2bm_ard_3-2-1_55JCJ_2019-05-09_final
2019-05-09 10:05:41	ga_s2bm_ard_3-2-1_54JWM_2019-05-09_final
2019-05-09 11:45:15	ga_s2bm_ard_3-2-1_50JPR_2019-05-09_final
2019-05-09 11:46:21	ga_s2bm_ard_3-2-1_50JMM_2019-05-09_final
2019-05-10 09:34:20	ga_s2bm_ard_3-2-1_56JLR_2019-05-10_final
2019-05-10 09:35:14	ga_s2bm_ard_3-2-1_56JMM_2019-05-10_final
2019-05-10 11:15:27	ga_s2bm_ard_3-2-1_52JCP_2019-05-10_final
2019-05-11 10:44:36	ga_s2bm_ard_3-2-1_53JPL_2019-05-11_final
2019-05-11 10:44:50	ga_s2bm_ard_3-2-1_53JLL_2019-05-11_final
2019-05-11 10:45:45	ga_s2bm_ard_3-2-1_53JMG_2019-05-11_final
2019-05-12 10:14:33	ga_s2bm_ard_3-2-1_54JXR_2019-05-12_final
2019-05-12 10:15:34	ga_s2bm_ard_3-2-1_54JWM_2019-05-12_final
2019-05-12 10:15:38	ga_s2bm_ard_3-2-1_54JVM_2019-05-12_final
2019-05-12 11:55:11	ga_s2bm_ard_3-2-1_50JPR_2019-05-12_final
2019-05-12 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-05-12_final
2019-05-12 11:56:16	ga_s2bm_ard_3-2-1_50JMM_2019-05-12_final
2019-05-13 09:44:14	ga_s2bm_ard_3-2-1_56JLR_2019-05-13_final
2019-05-13 09:44:26	ga_s2bm_ard_3-2-1_55JFL_2019-05-13_final
2019-05-13 11:25:04	ga_s2bm_ard_3-2-1_51JXL_2019-05-13_final
2019-05-13 11:26:05	ga_s2bm_ard_3-2-1_51JWG_2019-05-13_final
2019-05-13 11:26:09	ga_s2bm_ard_3-2-1_51JVG_2019-05-13_final
2019-05-14 10:54:56	ga_s2bm_ard_3-2-1_52JFR_2019-05-14_final
2019-05-15 10:24:39	ga_s2bm_ard_3-2-1_54JUR_2019-05-15_final
2019-05-15 10:25:33	ga_s2bm_ard_3-2-1_54JVM_2019-05-15_final
2019-05-15 12:05:17	ga_s2bm_ard_3-2-1_50JLR_2019-05-15_final
2019-05-15 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-15_final
2019-05-16 09:54:21	ga_s2bm_ard_3-2-1_55JFL_2019-05-16_final
2019-05-16 11:35:39	ga_s2bm_ard_3-2-1_51JUJ_2019-05-16_final
2019-05-16 11:35:57	ga_s2bm_ard_3-2-1_51JUG_2019-05-16_final
2019-05-17 09:25:16	ga_s2bm_ard_3-2-1_56JNM_2019-05-16_final
2019-05-17 09:25:19	ga_s2bm_ard_3-2-1_56JMM_2019-05-16_final
2019-05-17 11:04:52	ga_s2bm_ard_3-2-1_52JFR_2019-05-17_final
2019-05-17 11:05:31	ga_s2bm_ard_3-2-1_52JCP_2019-05-17_final
2019-05-18 10:34:45	ga_s2bm_ard_3-2-1_53JPL_2019-05-18_final
2019-05-19 10:04:41	ga_s2bm_ard_3-2-1_54JXR_2019-05-19_final
2019-05-19 10:04:56	ga_s2bm_ard_3-2-1_55JCJ_2019-05-19_final
2019-05-19 10:05:41	ga_s2bm_ard_3-2-1_54JWM_2019-05-19_final
2019-05-19 11:45:15	ga_s2bm_ard_3-2-1_50JPR_2019-05-19_final
2019-05-20 09:34:20	ga_s2bm_ard_3-2-1_56JLR_2019-05-20_final
2019-05-20 09:35:15	ga_s2bm_ard_3-2-1_56JMM_2019-05-20_final
2019-05-20 11:15:27	ga_s2bm_ard_3-2-1_52JCP_2019-05-20_final
2019-05-22 10:14:33	ga_s2bm_ard_3-2-1_54JXR_2019-05-22_final
2019-05-22 10:15:35	ga_s2bm_ard_3-2-1_54JWM_2019-05-22_final
2019-05-22 10:15:38	ga_s2bm_ard_3-2-1_54JVM_2019-05-22_final
2019-05-22 11:55:11	ga_s2bm_ard_3-2-1_50JPR_2019-05-22_final
2019-05-22 11:55:50	ga_s2bm_ard_3-2-1_50JLP_2019-05-22_final
2019-05-23 09:44:14	ga_s2bm_ard_3-2-1_56JLR_2019-05-23_final
2019-05-23 09:44:26	ga_s2bm_ard_3-2-1_55JFL_2019-05-23_final
2019-05-23 11:25:04	ga_s2bm_ard_3-2-1_51JXL_2019-05-23_final
2019-05-23 11:26:05	ga_s2bm_ard_3-2-1_51JWG_2019-05-23_final
2019-05-23 11:26:09	ga_s2bm_ard_3-2-1_51JVG_2019-05-23_final
2019-05-24 10:54:56	ga_s2bm_ard_3-2-1_52JFR_2019-05-24_final
2019-05-25 10:24:39	ga_s2bm_ard_3-2-1_54JUR_2019-05-25_final
2019-05-25 10:25:33	ga_s2bm_ard_3-2-1_54JVM_2019-05-25_final
2019-05-25 12:05:46	ga_s2bm_ard_3-2-1_50JLP_2019-05-25_final
2019-05-26 09:54:21	ga_s2bm_ard_3-2-1_55JFL_2019-05-26_final
2019-05-26 11:35:39	ga_s2bm_ard_3-2-1_51JUJ_2019-05-26_final
2019-05-27 09:25:16	ga_s2bm_ard_3-2-1_56JNM_2019-05-26_final
2019-05-27 09:25:19	ga_s2bm_ard_3-2-1_56JMM_2019-05-26_final
2019-05-27 11:04:52	ga_s2bm_ard_3-2-1_52JFR_2019-05-27_final
2019-05-27 11:05:31	ga_s2bm_ard_3-2-1_52JCP_2019-05-27_final
2019-05-28 10:34:45	ga_s2bm_ard_3-2-1_53JPL_2019-05-28_final
2019-05-29 10:04:41	ga_s2bm_ard_3-2-1_54JXR_2019-05-29_final
2019-05-29 10:04:56	ga_s2bm_ard_3-2-1_55JCJ_2019-05-29_final
2019-05-29 10:05:41	ga_s2bm_ard_3-2-1_54JWM_2019-05-29_final
2019-05-29 11:45:15	ga_s2bm_ard_3-2-1_50JPR_2019-05-29_final
2019-05-30 09:34:20	ga_s2bm_ard_3-2-1_56JLR_2019-05-30_final
2019-05-30 09:35:14	ga_s2bm_ard_3-2-1_56JMM_2019-05-30_final
2019-05-30 11:15:27	ga_s2bm_ard_3-2-1_52JCP_2019-05-30_final
2019-05-31 10:44:36	ga_s2bm_ard_3-2-1_53JPL_2019-05-31_final

Return to ga_s2bm_ard_3 across May 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

May

All days