Search ga_s2am_ard_3 across July 2016

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
2016-07-03 10:48:21	ga_s2am_ard_3-2-1_53JLK_2016-07-03_final.stac-item
2016-07-03 10:48:21	ga_s2am_ard_3-2-1_53JKL_2016-07-03_final.stac-item
2016-07-06 09:22:47	ga_s2am_ard_3-2-1_55GFR_2016-07-05_final.stac-item
2016-07-06 09:22:47	ga_s2am_ard_3-2-1_56JMM_2016-07-05_final.stac-item
2016-07-06 09:22:47	ga_s2am_ard_3-2-1_56JNM_2016-07-05_final.stac-item
2016-07-06 09:22:47	ga_s2am_ard_3-2-1_55HFS_2016-07-05_final.stac-item
2016-07-07 10:28:09	ga_s2am_ard_3-2-1_53JNL_2016-07-07_final.stac-item
2016-07-07 10:28:09	ga_s2am_ard_3-2-1_53JPL_2016-07-07_final.stac-item
2016-07-07 10:28:09	ga_s2am_ard_3-2-1_53JQL_2016-07-07_final.stac-item
2016-07-07 10:28:09	ga_s2am_ard_3-2-1_54JTR_2016-07-07_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JNQ_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_51JTL_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JQR_2016-07-08_final.stac-item
2016-07-09 09:33:19	ga_s2am_ard_3-2-1_56JKR_2016-07-09_final.stac-item
2016-07-09 09:38:39	ga_s2am_ard_3-2-1_55GDP_2016-07-09_final.stac-item
2016-07-09 09:38:39	ga_s2am_ard_3-2-1_55GCP_2016-07-09_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JYL_2016-07-09_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_52JBR_2016-07-09_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53JLK_2016-07-10_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53JMK_2016-07-10_final.stac-item
2016-07-10 10:38:42	ga_s2am_ard_3-2-1_53JNK_2016-07-10_final.stac-item
2016-07-11 10:11:13	ga_s2am_ard_3-2-1_54JYR_2016-07-11_final.stac-item
2016-07-11 10:11:13	ga_s2am_ard_3-2-1_54JWP_2016-07-11_final.stac-item
2016-07-11 10:11:13	ga_s2am_ard_3-2-1_54JWM_2016-07-11_final.stac-item
2016-07-11 10:11:13	ga_s2am_ard_3-2-1_54JVP_2016-07-11_final.stac-item
2016-07-11 10:11:13	ga_s2am_ard_3-2-1_54JVM_2016-07-11_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55JGL_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55GCR_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55GDR_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_54GYA_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55JEJ_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_56JKR_2016-07-12_final.stac-item
2016-07-12 09:42:52	ga_s2am_ard_3-2-1_55JDG_2016-07-12_final.stac-item
2016-07-12 09:47:59	ga_s2am_ard_3-2-1_55GCR_2016-07-12_final.stac-item
2016-07-12 09:47:59	ga_s2am_ard_3-2-1_55GDR_2016-07-12_final.stac-item
2016-07-12 09:47:59	ga_s2am_ard_3-2-1_54GYA_2016-07-12_final.stac-item
2016-07-12 09:47:59	ga_s2am_ard_3-2-1_55GEP_2016-07-12_final.stac-item
2016-07-12 09:47:59	ga_s2am_ard_3-2-1_55GDP_2016-07-12_final.stac-item
2016-07-12 09:47:59	ga_s2am_ard_3-2-1_55HBS_2016-07-12_final.stac-item
2016-07-12 09:47:59	ga_s2am_ard_3-2-1_54HYB_2016-07-12_final.stac-item
2016-07-12 09:47:59	ga_s2am_ard_3-2-1_55GCP_2016-07-12_final.stac-item
2016-07-14 12:02:53	ga_s2am_ard_3-2-1_50JKR_2016-07-14_final.stac-item
2016-07-15 11:32:03	ga_s2am_ard_3-2-1_51JTL_2016-07-15_final.stac-item
2016-07-16 09:22:48	ga_s2am_ard_3-2-1_56JMM_2016-07-15_final.stac-item
2016-07-16 09:22:48	ga_s2am_ard_3-2-1_56JNM_2016-07-15_final.stac-item
2016-07-16 10:57:59	ga_s2am_ard_3-2-1_52JFQ_2016-07-16_final.stac-item
2016-07-16 10:57:59	ga_s2am_ard_3-2-1_52JEQ_2016-07-16_final.stac-item
2016-07-18 10:01:45	ga_s2am_ard_3-2-1_55JCK_2016-07-18_final.stac-item
2016-07-18 10:01:45	ga_s2am_ard_3-2-1_54JYR_2016-07-18_final.stac-item
2016-07-18 10:01:45	ga_s2am_ard_3-2-1_54JWM_2016-07-18_final.stac-item
2016-07-18 10:01:45	ga_s2am_ard_3-2-1_55JBL_2016-07-18_final.stac-item
2016-07-19 09:33:20	ga_s2am_ard_3-2-1_55GDR_2016-07-19_final.stac-item
2016-07-19 09:33:20	ga_s2am_ard_3-2-1_55GFR_2016-07-19_final.stac-item
2016-07-19 09:33:20	ga_s2am_ard_3-2-1_56JMM_2016-07-19_final.stac-item
2016-07-19 09:33:20	ga_s2am_ard_3-2-1_56JKR_2016-07-19_final.stac-item
2016-07-19 09:33:20	ga_s2am_ard_3-2-1_55HDS_2016-07-19_final.stac-item
2016-07-19 09:38:12	ga_s2am_ard_3-2-1_55GEP_2016-07-19_final.stac-item
2016-07-19 09:38:12	ga_s2am_ard_3-2-1_55GDP_2016-07-19_final.stac-item
2016-07-19 09:38:12	ga_s2am_ard_3-2-1_55GCP_2016-07-19_final.stac-item
2016-07-23 10:48:23	ga_s2am_ard_3-2-1_53JKL_2016-07-23_final.stac-item
2016-07-24 10:20:03	ga_s2am_ard_3-2-1_54JWR_2016-07-24_final.stac-item
2016-07-24 10:20:03	ga_s2am_ard_3-2-1_54JTR_2016-07-24_final.stac-item
2016-07-24 10:20:03	ga_s2am_ard_3-2-1_54JVP_2016-07-24_final.stac-item
2016-07-24 10:20:03	ga_s2am_ard_3-2-1_54JVM_2016-07-24_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JMR_2016-07-24_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JKR_2016-07-24_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55GCR_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_54GYA_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55JDJ_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55JEJ_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55HCS_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55HBS_2016-07-25_final.stac-item
2016-07-25 09:52:36	ga_s2am_ard_3-2-1_55JDG_2016-07-25_final.stac-item
2016-07-25 09:57:57	ga_s2am_ard_3-2-1_55GCR_2016-07-25_final.stac-item
2016-07-25 09:57:57	ga_s2am_ard_3-2-1_54GYA_2016-07-25_final.stac-item
2016-07-25 09:57:57	ga_s2am_ard_3-2-1_55HBS_2016-07-25_final.stac-item
2016-07-26 09:23:14	ga_s2am_ard_3-2-1_56JMM_2016-07-25_final.stac-item
2016-07-26 09:23:14	ga_s2am_ard_3-2-1_56JNM_2016-07-25_final.stac-item
2016-07-26 09:27:34	ga_s2am_ard_3-2-1_55GFR_2016-07-25_final.stac-item
2016-07-26 09:27:34	ga_s2am_ard_3-2-1_55HFS_2016-07-25_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JPL_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_53JQL_2016-07-27_final.stac-item
2016-07-27 10:28:06	ga_s2am_ard_3-2-1_54JTR_2016-07-27_final.stac-item
2016-07-27 12:14:46	ga_s2am_ard_3-2-1_49JGL_2016-07-27_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51JTL_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JQR_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_51JUL_2016-07-28_final.stac-item
2016-07-29 09:33:23	ga_s2am_ard_3-2-1_56JKR_2016-07-29_final.stac-item
2016-07-29 09:38:40	ga_s2am_ard_3-2-1_55GDP_2016-07-29_final.stac-item
2016-07-29 09:38:40	ga_s2am_ard_3-2-1_55GCP_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_51JYL_2016-07-29_final.stac-item
2016-07-29 11:09:08	ga_s2am_ard_3-2-1_52JBR_2016-07-29_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JLK_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JMK_2016-07-30_final.stac-item
2016-07-30 10:38:47	ga_s2am_ard_3-2-1_53JNK_2016-07-30_final.stac-item
2016-07-31 10:11:02	ga_s2am_ard_3-2-1_54JYR_2016-07-31_final.stac-item
2016-07-31 10:11:02	ga_s2am_ard_3-2-1_54JWP_2016-07-31_final.stac-item
2016-07-31 10:11:02	ga_s2am_ard_3-2-1_54JWM_2016-07-31_final.stac-item
2016-07-31 10:11:02	ga_s2am_ard_3-2-1_54JVP_2016-07-31_final.stac-item
2016-07-31 10:11:02	ga_s2am_ard_3-2-1_54JUP_2016-07-31_final.stac-item

Return to ga_s2am_ard_3 across July 2016 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

2016

July

All days