Search ga_s2bm_ard_3 across March 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
2019-03-01 09:34:03	ga_s2bm_ard_3-2-1_56JNR_2019-03-01_final.stac-item
2019-03-01 09:35:00	ga_s2bm_ard_3-2-1_55JGH_2019-03-01_final
2019-03-01 09:35:52	ga_s2bm_ard_3-2-1_56HLJ_2019-03-01_final
2019-03-01 11:16:01	ga_s2bm_ard_3-2-1_52JCL_2019-03-01_final
2019-03-01 11:16:39	ga_s2bm_ard_3-2-1_51HXD_2019-03-01_final
2019-03-02 10:45:53	ga_s2bm_ard_3-2-1_53JLF_2019-03-02_final
2019-03-03 10:14:29	ga_s2bm_ard_3-2-1_54JVR_2019-03-03_final
2019-03-03 10:15:58	ga_s2bm_ard_3-2-1_54HXJ_2019-03-03_final
2019-03-03 10:16:14	ga_s2bm_ard_3-2-1_54HUJ_2019-03-03_final
2019-03-03 11:55:04	ga_s2bm_ard_3-2-1_50JNR_2019-03-03_final
2019-03-03 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2019-03-03_final
2019-03-03 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-03-03_final
2019-03-04 09:44:49	ga_s2bm_ard_3-2-1_56JKN_2019-03-04_final
2019-03-04 09:44:50	ga_s2bm_ard_3-2-1_55JGH_2019-03-04_final
2019-03-04 09:44:57	ga_s2bm_ard_3-2-1_55JGH_2019-03-04_final
2019-03-04 11:26:34	ga_s2bm_ard_3-2-1_51HXD_2019-03-04_final
2019-03-04 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2019-03-04_final
2019-03-05 10:55:22	ga_s2bm_ard_3-2-1_53JKH_2019-03-05_final
2019-03-06 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2019-03-06_final
2019-03-06 10:26:10	ga_s2bm_ard_3-2-1_54HUJ_2019-03-06_final
2019-03-06 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2019-03-06_final
2019-03-07 09:55:08	ga_s2bm_ard_3-2-1_55JBH_2019-03-07_final
2019-03-07 09:56:02	ga_s2bm_ard_3-2-1_55HCD_2019-03-07_final
2019-03-08 09:24:06	ga_s2bm_ard_3-2-1_56JNR_2019-03-07_final.stac-item
2019-03-08 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2019-03-08_final
2019-03-09 10:35:06	ga_s2bm_ard_3-2-1_54JTN_2019-03-09_final
2019-03-09 10:35:13	ga_s2bm_ard_3-2-1_53JQH_2019-03-09_final
2019-03-10 10:05:03	ga_s2bm_ard_3-2-1_55JBH_2019-03-10_final
2019-03-10 10:06:07	ga_s2bm_ard_3-2-1_54HXJ_2019-03-10_final
2019-03-10 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2019-03-10_final
2019-03-11 09:34:02	ga_s2bm_ard_3-2-1_56JNR_2019-03-11_final.stac-item
2019-03-11 09:34:59	ga_s2bm_ard_3-2-1_55JGH_2019-03-11_final
2019-03-11 09:35:50	ga_s2bm_ard_3-2-1_56HLJ_2019-03-11_final
2019-03-11 11:15:59	ga_s2bm_ard_3-2-1_52JCL_2019-03-11_final
2019-03-11 11:16:38	ga_s2bm_ard_3-2-1_51HXD_2019-03-11_final
2019-03-12 10:45:52	ga_s2bm_ard_3-2-1_53JLF_2019-03-12_final
2019-03-13 10:15:58	ga_s2bm_ard_3-2-1_54HXJ_2019-03-13_final
2019-03-13 10:16:14	ga_s2bm_ard_3-2-1_54HUJ_2019-03-13_final
2019-03-13 11:55:03	ga_s2bm_ard_3-2-1_50JNR_2019-03-13_final
2019-03-13 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2019-03-13_final
2019-03-13 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2019-03-13_final
2019-03-14 09:44:48	ga_s2bm_ard_3-2-1_56JKN_2019-03-14_final
2019-03-14 09:44:50	ga_s2bm_ard_3-2-1_55JGH_2019-03-14_final
2019-03-14 09:44:56	ga_s2bm_ard_3-2-1_55JGH_2019-03-14_final
2019-03-14 11:26:33	ga_s2bm_ard_3-2-1_51HXD_2019-03-14_final
2019-03-14 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2019-03-14_final
2019-03-15 10:55:22	ga_s2bm_ard_3-2-1_53JKH_2019-03-15_final
2019-03-16 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2019-03-16_final
2019-03-16 10:25:18	ga_s2bm_ard_3-2-1_53JQH_2019-03-16_final
2019-03-16 10:26:10	ga_s2bm_ard_3-2-1_54HUJ_2019-03-16_final
2019-03-16 10:26:20	ga_s2bm_ard_3-2-1_53HPD_2019-03-16_final
2019-03-16 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2019-03-16_final
2019-03-17 09:55:09	ga_s2bm_ard_3-2-1_55JBH_2019-03-17_final
2019-03-17 09:56:03	ga_s2bm_ard_3-2-1_55HCD_2019-03-17_final
2019-03-17 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2019-03-17_final
2019-03-18 09:24:08	ga_s2bm_ard_3-2-1_56JNR_2019-03-17_final.stac-item
2019-03-18 11:06:05	ga_s2bm_ard_3-2-1_52JCL_2019-03-18_final
2019-03-19 10:35:07	ga_s2bm_ard_3-2-1_54JTN_2019-03-19_final
2019-03-19 10:35:14	ga_s2bm_ard_3-2-1_53JQH_2019-03-19_final
2019-03-20 10:04:13	ga_s2bm_ard_3-2-1_55JDL_2019-03-20_final
2019-03-20 10:05:05	ga_s2bm_ard_3-2-1_55JBH_2019-03-20_final
2019-03-20 10:06:09	ga_s2bm_ard_3-2-1_54HXJ_2019-03-20_final
2019-03-20 11:45:10	ga_s2bm_ard_3-2-1_50JNR_2019-03-20_final
2019-03-21 09:34:04	ga_s2bm_ard_3-2-1_56JNR_2019-03-21_final.stac-item
2019-03-21 09:35:01	ga_s2bm_ard_3-2-1_55JGH_2019-03-21_final
2019-03-21 09:35:53	ga_s2bm_ard_3-2-1_56HLJ_2019-03-21_final
2019-03-21 11:16:02	ga_s2bm_ard_3-2-1_52JCL_2019-03-21_final
2019-03-21 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2019-03-21_final
2019-03-22 10:45:55	ga_s2bm_ard_3-2-1_53JLF_2019-03-22_final
2019-03-23 10:15:47	ga_s2bm_ard_3-2-1_54JUL_2019-03-23_final
2019-03-23 10:16:00	ga_s2bm_ard_3-2-1_54HXJ_2019-03-23_final
2019-03-23 10:16:16	ga_s2bm_ard_3-2-1_54HUJ_2019-03-23_final
2019-03-23 11:55:06	ga_s2bm_ard_3-2-1_50JNR_2019-03-23_final
2019-03-23 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2019-03-23_final
2019-03-23 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2019-03-23_final
2019-03-24 09:44:54	ga_s2bm_ard_3-2-1_56JKN_2019-03-24_final
2019-03-24 09:44:57	ga_s2bm_ard_3-2-1_55JGH_2019-03-24_final
2019-03-24 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2019-03-24_final
2019-03-24 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2019-03-24_final
2019-03-25 10:55:25	ga_s2bm_ard_3-2-1_53JKH_2019-03-25_final
2019-03-26 10:24:22	ga_s2bm_ard_3-2-1_54JWR_2019-03-26_final
2019-03-26 10:25:18	ga_s2bm_ard_3-2-1_54JTN_2019-03-26_final
2019-03-26 10:26:13	ga_s2bm_ard_3-2-1_54HUJ_2019-03-26_final
2019-03-26 10:26:22	ga_s2bm_ard_3-2-1_53HPD_2019-03-26_final
2019-03-26 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2019-03-26_final
2019-03-27 09:55:12	ga_s2bm_ard_3-2-1_55JBH_2019-03-27_final
2019-03-27 09:56:06	ga_s2bm_ard_3-2-1_55HCD_2019-03-27_final
2019-03-27 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2019-03-27_final
2019-03-28 09:24:09	ga_s2bm_ard_3-2-1_56JNR_2019-03-27_final.stac-item
2019-03-28 09:24:16	ga_s2bm_ard_3-2-1_56JNR_2019-03-27_final.stac-item
2019-03-28 11:06:08	ga_s2bm_ard_3-2-1_52JCL_2019-03-28_final
2019-03-29 10:35:10	ga_s2bm_ard_3-2-1_54JTN_2019-03-29_final
2019-03-29 10:35:17	ga_s2bm_ard_3-2-1_53JQH_2019-03-29_final
2019-03-30 10:05:08	ga_s2bm_ard_3-2-1_55JBH_2019-03-30_final
2019-03-30 10:06:12	ga_s2bm_ard_3-2-1_54HXJ_2019-03-30_final
2019-03-30 11:45:13	ga_s2bm_ard_3-2-1_50JNR_2019-03-30_final
2019-03-31 09:34:07	ga_s2bm_ard_3-2-1_56JNR_2019-03-31_final.stac-item
2019-03-31 09:35:03	ga_s2bm_ard_3-2-1_55JGH_2019-03-31_final
2019-03-31 09:35:55	ga_s2bm_ard_3-2-1_56HLJ_2019-03-31_final
2019-03-31 11:16:04	ga_s2bm_ard_3-2-1_52JCL_2019-03-31_final

Return to ga_s2bm_ard_3 across March 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

March

All days