Search ga_s2am_ard_3 across July 2018

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
2018-07-01 10:12:01	ga_s2am_ard_3-2-1_54JWQ_2018-07-01_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JMQ_2018-07-01_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JKN_2018-07-01_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JLR_2018-07-01_final
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50JPR_2018-07-01_final
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51JXL_2018-07-02_final
2018-07-03 10:47:26	ga_s2am_ard_3-2-1_53JLL_2018-07-03_final
2018-07-04 10:17:07	ga_s2am_ard_3-2-1_54JTN_2018-07-04_final
2018-07-04 10:17:07	ga_s2am_ard_3-2-1_54JWQ_2018-07-04_final
2018-07-04 10:17:07	ga_s2am_ard_3-2-1_54JUR_2018-07-04_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_50JKN_2018-07-04_final
2018-07-05 09:50:55	ga_s2am_ard_3-2-1_55JFL_2018-07-05_final
2018-07-05 09:50:55	ga_s2am_ard_3-2-1_55JDK_2018-07-05_final
2018-07-05 09:50:55	ga_s2am_ard_3-2-1_55JBH_2018-07-05_final
2018-07-05 11:29:39	ga_s2am_ard_3-2-1_51JWK_2018-07-05_final
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_51JTH_2018-07-05_final
2018-07-06 09:23:51	ga_s2am_ard_3-2-1_56JNQ_2018-07-05_final.stac-item
2018-07-06 09:23:51	ga_s2am_ard_3-2-1_56JMQ_2018-07-05_final
2018-07-06 09:23:51	ga_s2am_ard_3-2-1_55GEP_2018-07-05_final
2018-07-06 10:57:17	ga_s2am_ard_3-2-1_52JCR_2018-07-06_final
2018-07-07 10:27:09	ga_s2am_ard_3-2-1_53JPL_2018-07-07_final
2018-07-07 10:27:09	ga_s2am_ard_3-2-1_54JTN_2018-07-07_final
2018-07-08 09:57:08	ga_s2am_ard_3-2-1_55JDK_2018-07-08_final
2018-07-08 09:57:08	ga_s2am_ard_3-2-1_55JBH_2018-07-08_final
2018-07-08 09:57:08	ga_s2am_ard_3-2-1_55JCL_2018-07-08_final
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_51JTH_2018-07-08_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_51JTH_2018-07-08_final
2018-07-09 09:32:41	ga_s2am_ard_3-2-1_56JNQ_2018-07-09_final.stac-item
2018-07-09 09:32:41	ga_s2am_ard_3-2-1_56JMQ_2018-07-09_final
2018-07-09 09:32:41	ga_s2am_ard_3-2-1_55GEP_2018-07-09_final
2018-07-09 11:13:18	ga_s2am_ard_3-2-1_52JCR_2018-07-09_final
2018-07-10 10:37:28	ga_s2am_ard_3-2-1_53JPL_2018-07-10_final
2018-07-10 10:37:28	ga_s2am_ard_3-2-1_53JKH_2018-07-10_final
2018-07-11 10:07:06	ga_s2am_ard_3-2-1_54JWQ_2018-07-11_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JMQ_2018-07-11_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JKN_2018-07-11_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JLR_2018-07-11_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JPR_2018-07-11_final
2018-07-12 09:41:10	ga_s2am_ard_3-2-1_55JFL_2018-07-12_final
2018-07-12 09:41:10	ga_s2am_ard_3-2-1_56JLR_2018-07-12_final
2018-07-12 09:41:10	ga_s2am_ard_3-2-1_55GEP_2018-07-12_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51JXL_2018-07-12_final
2018-07-13 10:47:26	ga_s2am_ard_3-2-1_53JLL_2018-07-13_final
2018-07-14 10:17:07	ga_s2am_ard_3-2-1_54JTN_2018-07-14_final
2018-07-14 10:17:07	ga_s2am_ard_3-2-1_54JUR_2018-07-14_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JKN_2018-07-14_final
2018-07-15 09:50:55	ga_s2am_ard_3-2-1_55JFL_2018-07-15_final
2018-07-15 09:50:55	ga_s2am_ard_3-2-1_55JBH_2018-07-15_final
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51JTH_2018-07-15_final
2018-07-16 09:22:46	ga_s2am_ard_3-2-1_56JMQ_2018-07-15_final
2018-07-16 09:22:46	ga_s2am_ard_3-2-1_55GEP_2018-07-15_final
2018-07-17 10:27:09	ga_s2am_ard_3-2-1_53JPL_2018-07-17_final
2018-07-17 10:27:09	ga_s2am_ard_3-2-1_54JTN_2018-07-17_final
2018-07-18 09:57:08	ga_s2am_ard_3-2-1_55JBH_2018-07-18_final
2018-07-18 09:57:08	ga_s2am_ard_3-2-1_55JCL_2018-07-18_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_51JTH_2018-07-18_final
2018-07-19 09:32:41	ga_s2am_ard_3-2-1_56JKN_2018-07-19_final
2018-07-19 09:32:41	ga_s2am_ard_3-2-1_56JMQ_2018-07-19_final
2018-07-19 09:32:41	ga_s2am_ard_3-2-1_56JLR_2018-07-19_final
2018-07-19 09:35:49	ga_s2am_ard_3-2-1_55GEP_2018-07-19_final
2018-07-20 10:37:28	ga_s2am_ard_3-2-1_53JPL_2018-07-20_final
2018-07-20 10:37:28	ga_s2am_ard_3-2-1_53JKH_2018-07-20_final
2018-07-21 10:07:06	ga_s2am_ard_3-2-1_54JWQ_2018-07-21_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JMQ_2018-07-21_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JKN_2018-07-21_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JLR_2018-07-21_final
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JPR_2018-07-21_final
2018-07-22 09:41:21	ga_s2am_ard_3-2-1_55JFL_2018-07-22_final
2018-07-22 09:41:21	ga_s2am_ard_3-2-1_56JLR_2018-07-22_final
2018-07-22 09:41:21	ga_s2am_ard_3-2-1_55GEP_2018-07-22_final
2018-07-22 11:23:33	ga_s2am_ard_3-2-1_51JXL_2018-07-22_final
2018-07-23 10:47:26	ga_s2am_ard_3-2-1_53JLL_2018-07-23_final
2018-07-24 10:17:07	ga_s2am_ard_3-2-1_54JTN_2018-07-24_final
2018-07-24 10:17:07	ga_s2am_ard_3-2-1_54JUR_2018-07-24_final
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JKN_2018-07-24_final
2018-07-25 09:50:55	ga_s2am_ard_3-2-1_55JFL_2018-07-25_final
2018-07-25 09:50:55	ga_s2am_ard_3-2-1_55JBH_2018-07-25_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51JWK_2018-07-25_final
2018-07-25 11:32:58	ga_s2am_ard_3-2-1_51JTH_2018-07-25_final
2018-07-26 09:22:46	ga_s2am_ard_3-2-1_56JMQ_2018-07-25_final
2018-07-26 09:25:17	ga_s2am_ard_3-2-1_55GEP_2018-07-25_final
2018-07-26 10:57:17	ga_s2am_ard_3-2-1_52JCR_2018-07-26_final
2018-07-27 10:27:09	ga_s2am_ard_3-2-1_53JPL_2018-07-27_final
2018-07-27 10:27:09	ga_s2am_ard_3-2-1_54JTN_2018-07-27_final
2018-07-28 09:57:08	ga_s2am_ard_3-2-1_55JBH_2018-07-28_final
2018-07-28 09:57:08	ga_s2am_ard_3-2-1_55JCL_2018-07-28_final
2018-07-28 11:40:21	ga_s2am_ard_3-2-1_51JTH_2018-07-28_final
2018-07-28 11:40:21	ga_s2am_ard_3-2-1_51JTG_2018-07-28_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_51JTH_2018-07-28_final
2018-07-29 09:32:41	ga_s2am_ard_3-2-1_56JKN_2018-07-29_final
2018-07-29 09:32:41	ga_s2am_ard_3-2-1_56JMQ_2018-07-29_final
2018-07-29 09:32:41	ga_s2am_ard_3-2-1_56JLR_2018-07-29_final
2018-07-29 09:37:48	ga_s2am_ard_3-2-1_55GEP_2018-07-29_final
2018-07-29 11:13:14	ga_s2am_ard_3-2-1_52JCR_2018-07-29_final
2018-07-30 10:37:28	ga_s2am_ard_3-2-1_53JPL_2018-07-30_final
2018-07-30 10:37:28	ga_s2am_ard_3-2-1_53JKH_2018-07-30_final
2018-07-31 10:07:05	ga_s2am_ard_3-2-1_54JWQ_2018-07-31_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JMQ_2018-07-31_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JKN_2018-07-31_final
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50JLR_2018-07-31_final

Return to ga_s2am_ard_3 across July 2018 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

2018

July

All days