Search ga_s2am_ard_3 across August 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
2016-08-01 09:42:53	ga_s2am_ard_3-2-1_56JLR_2016-08-01_final.stac-item
2016-08-01 09:42:53	ga_s2am_ard_3-2-1_55JGJ_2016-08-01_final.stac-item
2016-08-01 09:42:53	ga_s2am_ard_3-2-1_55JEK_2016-08-01_final.stac-item
2016-08-01 09:42:53	ga_s2am_ard_3-2-1_55JEJ_2016-08-01_final.stac-item
2016-08-01 09:42:53	ga_s2am_ard_3-2-1_55JDG_2016-08-01_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_50JKP_2016-08-03_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51JTJ_2016-08-04_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HPK_2016-08-04_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51JVG_2016-08-04_final.stac-item
2016-08-05 09:22:48	ga_s2am_ard_3-2-1_56JNQ_2016-08-04_final.stac-item
2016-08-05 09:22:48	ga_s2am_ard_3-2-1_56JMQ_2016-08-04_final.stac-item
2016-08-05 11:01:22	ga_s2am_ard_3-2-1_52JDM_2016-08-05_final.stac-item
2016-08-07 10:01:45	ga_s2am_ard_3-2-1_54HXK_2016-08-07_final.stac-item
2016-08-07 10:01:45	ga_s2am_ard_3-2-1_54JYP_2016-08-07_final.stac-item
2016-08-07 10:01:45	ga_s2am_ard_3-2-1_54HWF_2016-08-07_final.stac-item
2016-08-07 10:01:45	ga_s2am_ard_3-2-1_55JBJ_2016-08-07_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_56JLQ_2016-08-08_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_56JNQ_2016-08-08_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_56JLR_2016-08-08_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_56JMQ_2016-08-08_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_56JKN_2016-08-08_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_55HEA_2016-08-08_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_56JMM_2016-08-08_final.stac-item
2016-08-10 10:15:57	ga_s2am_ard_3-2-1_54HWF_2016-08-10_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JLR_2016-08-10_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JLP_2016-08-10_final.stac-item
2016-08-11 11:22:31	ga_s2am_ard_3-2-1_51JWG_2016-08-11_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_53JLL_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52JGP_2016-08-12_final.stac-item
2016-08-12 10:55:06	ga_s2am_ard_3-2-1_52JGP_2016-08-12_final.stac-item
2016-08-13 10:20:02	ga_s2am_ard_3-2-1_54JUR_2016-08-13_final.stac-item
2016-08-13 10:20:02	ga_s2am_ard_3-2-1_54JVQ_2016-08-13_final.stac-item
2016-08-13 10:20:02	ga_s2am_ard_3-2-1_54JVP_2016-08-13_final.stac-item
2016-08-13 10:20:02	ga_s2am_ard_3-2-1_53HPE_2016-08-13_final.stac-item
2016-08-13 10:20:02	ga_s2am_ard_3-2-1_54JUL_2016-08-13_final.stac-item
2016-08-13 10:20:02	ga_s2am_ard_3-2-1_54JTP_2016-08-13_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_50JLQ_2016-08-13_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JDK_2016-08-14_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JCK_2016-08-14_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JEK_2016-08-14_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JDJ_2016-08-14_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JEJ_2016-08-14_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JCL_2016-08-14_final.stac-item
2016-08-14 09:52:35	ga_s2am_ard_3-2-1_55JDG_2016-08-14_final.stac-item
2016-08-15 09:22:48	ga_s2am_ard_3-2-1_56JNQ_2016-08-14_final.stac-item
2016-08-15 09:22:48	ga_s2am_ard_3-2-1_56JMQ_2016-08-14_final.stac-item
2016-08-16 10:34:31	ga_s2am_ard_3-2-1_53JNG_2016-08-16_final.stac-item
2016-08-16 10:34:31	ga_s2am_ard_3-2-1_53JQJ_2016-08-16_final.stac-item
2016-08-16 10:34:31	ga_s2am_ard_3-2-1_53HPE_2016-08-16_final.stac-item
2016-08-16 10:34:31	ga_s2am_ard_3-2-1_53HPV_2016-08-16_final.stac-item
2016-08-16 10:34:31	ga_s2am_ard_3-2-1_54JTP_2016-08-16_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_51JTJ_2016-08-17_final.stac-item
2016-08-18 09:32:20	ga_s2am_ard_3-2-1_56JLQ_2016-08-18_final.stac-item
2016-08-18 09:32:20	ga_s2am_ard_3-2-1_56JNQ_2016-08-18_final.stac-item
2016-08-18 09:32:20	ga_s2am_ard_3-2-1_56JLR_2016-08-18_final.stac-item
2016-08-18 09:32:20	ga_s2am_ard_3-2-1_56JMQ_2016-08-18_final.stac-item
2016-08-18 09:32:20	ga_s2am_ard_3-2-1_56JKN_2016-08-18_final.stac-item
2016-08-18 09:36:38	ga_s2am_ard_3-2-1_56HKF_2016-08-18_final.stac-item
2016-08-18 09:36:38	ga_s2am_ard_3-2-1_55HGA_2016-08-18_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52JCR_2016-08-18_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52HCK_2016-08-18_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_52JBP_2016-08-18_final.stac-item
2016-08-19 10:38:46	ga_s2am_ard_3-2-1_53JKL_2016-08-19_final.stac-item
2016-08-19 10:45:23	ga_s2am_ard_3-2-1_53JNG_2016-08-19_final.stac-item
2016-08-20 10:11:12	ga_s2am_ard_3-2-1_54JVQ_2016-08-20_final.stac-item
2016-08-20 10:11:12	ga_s2am_ard_3-2-1_54HXK_2016-08-20_final.stac-item
2016-08-20 10:11:12	ga_s2am_ard_3-2-1_54JYP_2016-08-20_final.stac-item
2016-08-20 10:11:12	ga_s2am_ard_3-2-1_54JWP_2016-08-20_final.stac-item
2016-08-20 10:11:12	ga_s2am_ard_3-2-1_54JUP_2016-08-20_final.stac-item
2016-08-20 10:11:12	ga_s2am_ard_3-2-1_54HWF_2016-08-20_final.stac-item
2016-08-20 10:11:12	ga_s2am_ard_3-2-1_54JWQ_2016-08-20_final.stac-item
2016-08-20 10:11:12	ga_s2am_ard_3-2-1_54JVP_2016-08-20_final.stac-item
2016-08-20 10:17:02	ga_s2am_ard_3-2-1_53HQA_2016-08-20_final.stac-item
2016-08-21 09:42:15	ga_s2am_ard_3-2-1_56JLQ_2016-08-21_final.stac-item
2016-08-21 09:42:15	ga_s2am_ard_3-2-1_56JLR_2016-08-21_final.stac-item
2016-08-21 09:42:15	ga_s2am_ard_3-2-1_55JEK_2016-08-21_final.stac-item
2016-08-21 09:42:15	ga_s2am_ard_3-2-1_55JGJ_2016-08-21_final.stac-item
2016-08-21 09:44:28	ga_s2am_ard_3-2-1_55JGJ_2016-08-21_final.stac-item
2016-08-21 09:44:28	ga_s2am_ard_3-2-1_55JEK_2016-08-21_final.stac-item
2016-08-21 09:44:28	ga_s2am_ard_3-2-1_55JFK_2016-08-21_final.stac-item
2016-08-21 09:44:28	ga_s2am_ard_3-2-1_56JKQ_2016-08-21_final.stac-item
2016-08-21 09:44:28	ga_s2am_ard_3-2-1_55JEJ_2016-08-21_final.stac-item
2016-08-21 09:44:28	ga_s2am_ard_3-2-1_55HEA_2016-08-21_final.stac-item
2016-08-21 09:44:28	ga_s2am_ard_3-2-1_55JDG_2016-08-21_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JLQ_2016-08-23_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50JKP_2016-08-23_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JTJ_2016-08-24_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_50HPK_2016-08-24_final.stac-item
2016-08-25 11:03:18	ga_s2am_ard_3-2-1_52JBM_2016-08-25_final.stac-item
2016-08-25 11:03:18	ga_s2am_ard_3-2-1_52JDM_2016-08-25_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_54HXK_2016-08-27_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_54JYP_2016-08-27_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_54JXL_2016-08-27_final.stac-item
2016-08-27 10:01:42	ga_s2am_ard_3-2-1_54HWF_2016-08-27_final.stac-item
2016-08-28 09:32:19	ga_s2am_ard_3-2-1_56JLR_2016-08-28_final.stac-item
2016-08-28 09:34:11	ga_s2am_ard_3-2-1_56JMM_2016-08-28_final.stac-item
2016-08-30 10:15:54	ga_s2am_ard_3-2-1_54HWF_2016-08-30_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLP_2016-08-30_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JKP_2016-08-30_final.stac-item
2016-08-31 09:46:26	ga_s2am_ard_3-2-1_55HEA_2016-08-31_final.stac-item

Return to ga_s2am_ard_3 across August 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

August

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