Search ga_s2bm_ard_3 across August 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
2019-08-01 09:45:30	ga_s2bm_ard_3-2-1_56JKL_2019-08-01_final
2019-08-01 11:27:20	ga_s2bm_ard_3-2-1_51HUB_2019-08-01_final.stac-item
2019-08-02 10:56:02	ga_s2bm_ard_3-2-1_53JKF_2019-08-02_final
2019-08-02 10:56:04	ga_s2bm_ard_3-2-1_52JGL_2019-08-02_final
2019-08-03 10:25:54	ga_s2bm_ard_3-2-1_54JTL_2019-08-03_final
2019-08-03 10:25:57	ga_s2bm_ard_3-2-1_53JQF_2019-08-03_final
2019-08-03 10:26:58	ga_s2bm_ard_3-2-1_53HPB_2019-08-03_final
2019-08-04 09:55:07	ga_s2bm_ard_3-2-1_55JEH_2019-08-04_final
2019-08-04 09:55:46	ga_s2bm_ard_3-2-1_55JBF_2019-08-04_final
2019-08-04 09:56:53	ga_s2bm_ard_3-2-1_54HXG_2019-08-04_final
2019-08-04 11:36:27	ga_s2bm_ard_3-2-1_50JQL_2019-08-04_final
2019-08-04 11:37:29	ga_s2bm_ard_3-2-1_50HPG_2019-08-04_final.stac-item
2019-08-05 09:25:00	ga_s2bm_ard_3-2-1_56JNN_2019-08-04_final
2019-08-05 09:25:03	ga_s2bm_ard_3-2-1_56JMN_2019-08-04_final
2019-08-05 09:26:34	ga_s2bm_ard_3-2-1_56HLG_2019-08-04_final.stac-item
2019-08-05 11:05:05	ga_s2bm_ard_3-2-1_52JFQ_2019-08-05_final
2019-08-05 11:06:17	ga_s2bm_ard_3-2-1_52JBL_2019-08-05_final
2019-08-06 10:35:52	ga_s2bm_ard_3-2-1_53JQF_2019-08-06_final
2019-08-06 10:36:54	ga_s2bm_ard_3-2-1_53HPB_2019-08-06_final
2019-08-07 10:04:40	ga_s2bm_ard_3-2-1_55JCK_2019-08-07_final
2019-08-07 10:05:42	ga_s2bm_ard_3-2-1_55JBF_2019-08-07_final
2019-08-07 10:06:46	ga_s2bm_ard_3-2-1_54HXG_2019-08-07_final
2019-08-07 11:46:23	ga_s2bm_ard_3-2-1_50JQL_2019-08-07_final
2019-08-07 11:47:24	ga_s2bm_ard_3-2-1_50HPG_2019-08-07_final.stac-item
2019-08-07 11:47:35	ga_s2bm_ard_3-2-1_50HLG_2019-08-07_final.stac-item
2019-08-08 09:34:51	ga_s2bm_ard_3-2-1_56JNN_2019-08-08_final
2019-08-08 09:34:59	ga_s2bm_ard_3-2-1_56JMN_2019-08-08_final
2019-08-08 11:16:13	ga_s2bm_ard_3-2-1_52JBL_2019-08-08_final
2019-08-08 11:16:15	ga_s2bm_ard_3-2-1_51JYF_2019-08-08_final
2019-08-09 10:46:05	ga_s2bm_ard_3-2-1_53JKF_2019-08-09_final
2019-08-09 10:46:07	ga_s2bm_ard_3-2-1_52JGL_2019-08-09_final
2019-08-10 11:57:31	ga_s2bm_ard_3-2-1_50HLG_2019-08-10_final.stac-item
2019-08-11 09:46:34	ga_s2bm_ard_3-2-1_55HFB_2019-08-11_final
2019-08-11 11:27:16	ga_s2bm_ard_3-2-1_51HVB_2019-08-11_final.stac-item
2019-08-12 10:56:01	ga_s2bm_ard_3-2-1_53JKF_2019-08-12_final
2019-08-12 10:56:03	ga_s2bm_ard_3-2-1_52JGL_2019-08-12_final
2019-08-13 10:25:53	ga_s2bm_ard_3-2-1_54JTL_2019-08-13_final
2019-08-13 10:25:55	ga_s2bm_ard_3-2-1_53JQF_2019-08-13_final
2019-08-13 10:26:57	ga_s2bm_ard_3-2-1_53HPB_2019-08-13_final
2019-08-14 09:55:06	ga_s2bm_ard_3-2-1_55JEH_2019-08-14_final
2019-08-14 09:55:45	ga_s2bm_ard_3-2-1_55JBF_2019-08-14_final
2019-08-14 09:56:52	ga_s2bm_ard_3-2-1_54HXG_2019-08-14_final
2019-08-14 11:36:26	ga_s2bm_ard_3-2-1_50JQL_2019-08-14_final
2019-08-14 11:37:19	ga_s2bm_ard_3-2-1_51HUB_2019-08-14_final.stac-item
2019-08-14 11:37:27	ga_s2bm_ard_3-2-1_50HPG_2019-08-14_final.stac-item
2019-08-15 09:24:59	ga_s2bm_ard_3-2-1_56JNN_2019-08-14_final
2019-08-15 09:25:02	ga_s2bm_ard_3-2-1_56JMN_2019-08-14_final
2019-08-15 09:26:33	ga_s2bm_ard_3-2-1_56HLG_2019-08-14_final.stac-item
2019-08-15 11:05:04	ga_s2bm_ard_3-2-1_52JFQ_2019-08-15_final
2019-08-15 11:06:16	ga_s2bm_ard_3-2-1_52JBL_2019-08-15_final
2019-08-16 10:35:51	ga_s2bm_ard_3-2-1_53JQF_2019-08-16_final
2019-08-16 10:36:52	ga_s2bm_ard_3-2-1_53HPB_2019-08-16_final
2019-08-17 10:04:39	ga_s2bm_ard_3-2-1_55JCK_2019-08-17_final
2019-08-17 10:05:41	ga_s2bm_ard_3-2-1_55JBF_2019-08-17_final
2019-08-17 10:06:45	ga_s2bm_ard_3-2-1_54HXG_2019-08-17_final
2019-08-17 11:46:21	ga_s2bm_ard_3-2-1_50JQL_2019-08-17_final
2019-08-17 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2019-08-17_final.stac-item
2019-08-17 11:47:33	ga_s2bm_ard_3-2-1_50HLG_2019-08-17_final.stac-item
2019-08-18 09:34:50	ga_s2bm_ard_3-2-1_56JNN_2019-08-18_final
2019-08-18 09:34:57	ga_s2bm_ard_3-2-1_56JMN_2019-08-18_final
2019-08-18 09:35:33	ga_s2bm_ard_3-2-1_56JKL_2019-08-18_final
2019-08-18 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2019-08-18_final
2019-08-18 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2019-08-18_final
2019-08-18 11:16:13	ga_s2bm_ard_3-2-1_52JBL_2019-08-18_final
2019-08-18 11:16:14	ga_s2bm_ard_3-2-1_51JYF_2019-08-18_final
2019-08-19 10:46:04	ga_s2bm_ard_3-2-1_53JKF_2019-08-19_final
2019-08-19 10:46:06	ga_s2bm_ard_3-2-1_52JGL_2019-08-19_final
2019-08-20 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2019-08-20_final.stac-item
2019-08-21 09:45:27	ga_s2bm_ard_3-2-1_56JKL_2019-08-21_final
2019-08-22 10:55:59	ga_s2bm_ard_3-2-1_53JKF_2019-08-22_final
2019-08-22 10:56:02	ga_s2bm_ard_3-2-1_52JGL_2019-08-22_final
2019-08-23 10:25:52	ga_s2bm_ard_3-2-1_54JTL_2019-08-23_final
2019-08-23 10:25:54	ga_s2bm_ard_3-2-1_53JQF_2019-08-23_final
2019-08-23 10:26:55	ga_s2bm_ard_3-2-1_53HPB_2019-08-23_final
2019-08-24 09:55:05	ga_s2bm_ard_3-2-1_55JEH_2019-08-24_final
2019-08-24 09:55:44	ga_s2bm_ard_3-2-1_55JBF_2019-08-24_final
2019-08-24 09:56:51	ga_s2bm_ard_3-2-1_54HXG_2019-08-24_final
2019-08-24 11:36:25	ga_s2bm_ard_3-2-1_50JQL_2019-08-24_final
2019-08-24 11:37:17	ga_s2bm_ard_3-2-1_51HUB_2019-08-24_final.stac-item
2019-08-24 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2019-08-24_final.stac-item
2019-08-25 09:24:57	ga_s2bm_ard_3-2-1_56JNN_2019-08-24_final
2019-08-25 09:25:01	ga_s2bm_ard_3-2-1_56JMN_2019-08-24_final
2019-08-25 09:26:31	ga_s2bm_ard_3-2-1_56HLG_2019-08-24_final.stac-item
2019-08-25 11:05:02	ga_s2bm_ard_3-2-1_52JFQ_2019-08-25_final
2019-08-25 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2019-08-25_final
2019-08-26 10:35:49	ga_s2bm_ard_3-2-1_53JQF_2019-08-26_final
2019-08-26 10:36:51	ga_s2bm_ard_3-2-1_53HPB_2019-08-26_final
2019-08-27 10:04:37	ga_s2bm_ard_3-2-1_55JCK_2019-08-27_final
2019-08-27 10:05:39	ga_s2bm_ard_3-2-1_55JBF_2019-08-27_final
2019-08-27 10:06:43	ga_s2bm_ard_3-2-1_54HXG_2019-08-27_final
2019-08-27 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2019-08-27_final
2019-08-27 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2019-08-27_final.stac-item
2019-08-27 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2019-08-27_final.stac-item
2019-08-28 09:34:48	ga_s2bm_ard_3-2-1_56JNN_2019-08-28_final
2019-08-28 09:34:56	ga_s2bm_ard_3-2-1_56JMN_2019-08-28_final
2019-08-28 09:36:36	ga_s2bm_ard_3-2-1_55HFB_2019-08-28_final
2019-08-28 11:16:10	ga_s2bm_ard_3-2-1_52JBL_2019-08-28_final
2019-08-28 11:16:12	ga_s2bm_ard_3-2-1_51JYF_2019-08-28_final
2019-08-29 10:46:02	ga_s2bm_ard_3-2-1_53JKF_2019-08-29_final
2019-08-29 10:46:04	ga_s2bm_ard_3-2-1_52JGL_2019-08-29_final

Return to ga_s2bm_ard_3 across August 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

August

All days