Search ga_s2am_ard_3 across January 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
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JKN_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JKP_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55GEP_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55GCP_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55GDP_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55GFP_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JMQ_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JNN_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JNQ_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JMN_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_56JLR_2016-01-01_final.stac-item
2016-01-01 09:39:15	ga_s2am_ard_3-2-1_55JGH_2016-01-01_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JKP_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JPP_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JNQ_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JLR_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JKN_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JNR_2016-01-03_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_54JTP_2016-01-06_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_54JVQ_2016-01-06_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_54JWR_2016-01-06_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_54JUR_2016-01-06_final.stac-item
2016-01-06 10:27:28	ga_s2am_ard_3-2-1_54JVN_2016-01-06_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JVH_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JTJ_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JUL_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JWJ_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_50JQN_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JVK_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JWK_2016-01-07_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51JVL_2016-01-07_final.stac-item
2016-01-10 10:05:29	ga_s2am_ard_3-2-1_55JBJ_2016-01-10_final.stac-item
2016-01-10 10:05:29	ga_s2am_ard_3-2-1_55JBH_2016-01-10_final.stac-item
2016-01-10 10:05:29	ga_s2am_ard_3-2-1_54JYN_2016-01-10_final.stac-item
2016-01-11 09:34:10	ga_s2am_ard_3-2-1_56JLR_2016-01-11_final.stac-item
2016-01-11 09:34:10	ga_s2am_ard_3-2-1_56JNR_2016-01-11_final.stac-item
2016-01-11 09:34:25	ga_s2am_ard_3-2-1_56JMQ_2016-01-11_final.stac-item
2016-01-11 09:34:25	ga_s2am_ard_3-2-1_56JNQ_2016-01-11_final.stac-item
2016-01-11 09:34:25	ga_s2am_ard_3-2-1_56JLR_2016-01-11_final.stac-item
2016-01-11 09:38:56	ga_s2am_ard_3-2-1_55GCP_2016-01-11_final.stac-item
2016-01-11 09:38:56	ga_s2am_ard_3-2-1_55GDP_2016-01-11_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JBP_2016-01-11_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JDP_2016-01-11_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JCR_2016-01-11_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JBN_2016-01-11_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_52JDQ_2016-01-11_final.stac-item
2016-01-14 09:44:49	ga_s2am_ard_3-2-1_55JFH_2016-01-14_final.stac-item
2016-01-14 09:44:49	ga_s2am_ard_3-2-1_55JEK_2016-01-14_final.stac-item
2016-01-14 09:44:49	ga_s2am_ard_3-2-1_56JLR_2016-01-14_final.stac-item
2016-01-14 09:44:49	ga_s2am_ard_3-2-1_55JEL_2016-01-14_final.stac-item
2016-01-14 09:44:49	ga_s2am_ard_3-2-1_55JGH_2016-01-14_final.stac-item
2016-01-14 09:44:49	ga_s2am_ard_3-2-1_56JKN_2016-01-14_final.stac-item
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_55GEP_2016-01-14_final.stac-item
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_55GCP_2016-01-14_final.stac-item
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_55GDP_2016-01-14_final.stac-item
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_55JEH_2016-01-14_final.stac-item
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_56JKN_2016-01-14_final.stac-item
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_55JGH_2016-01-14_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_53JKJ_2016-01-15_final.stac-item
2016-01-15 10:56:39	ga_s2am_ard_3-2-1_53JLL_2016-01-15_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKP_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50JKN_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGH_2016-01-16_final.stac-item
2016-01-18 09:29:15	ga_s2am_ard_3-2-1_56JMQ_2016-01-17_final.stac-item
2016-01-18 09:29:15	ga_s2am_ard_3-2-1_56JNN_2016-01-17_final.stac-item
2016-01-18 09:29:15	ga_s2am_ard_3-2-1_56JNQ_2016-01-17_final.stac-item
2016-01-18 09:29:15	ga_s2am_ard_3-2-1_56JMN_2016-01-17_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNQ_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_51JTJ_2016-01-20_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JQN_2016-01-20_final.stac-item
2016-01-21 09:34:22	ga_s2am_ard_3-2-1_56JLR_2016-01-21_final.stac-item
2016-01-21 09:38:56	ga_s2am_ard_3-2-1_55GCP_2016-01-21_final.stac-item
2016-01-21 09:38:56	ga_s2am_ard_3-2-1_55GDP_2016-01-21_final.stac-item
2016-01-23 10:15:08	ga_s2am_ard_3-2-1_54JWQ_2016-01-23_final.stac-item
2016-01-23 10:15:08	ga_s2am_ard_3-2-1_54JVQ_2016-01-23_final.stac-item
2016-01-23 10:17:44	ga_s2am_ard_3-2-1_54JXN_2016-01-23_final.stac-item
2016-01-23 10:17:44	ga_s2am_ard_3-2-1_54JWN_2016-01-23_final.stac-item
2016-01-23 10:17:44	ga_s2am_ard_3-2-1_54JVN_2016-01-23_final.stac-item
2016-01-24 09:48:52	ga_s2am_ard_3-2-1_55GCP_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JWH_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JVH_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JXL_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JVK_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JWK_2016-01-24_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51JVL_2016-01-24_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_54JTP_2016-01-29_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53JPL_2016-01-29_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53JQH_2016-01-29_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53JNK_2016-01-29_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JKN_2016-01-31_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JKP_2016-01-31_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JMQ_2016-01-31_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JNN_2016-01-31_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JNQ_2016-01-31_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JMN_2016-01-31_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_56JLR_2016-01-31_final.stac-item
2016-01-31 09:32:38	ga_s2am_ard_3-2-1_55JGH_2016-01-31_final.stac-item
2016-01-31 09:36:51	ga_s2am_ard_3-2-1_55GEP_2016-01-31_final.stac-item
2016-01-31 09:36:51	ga_s2am_ard_3-2-1_55GCP_2016-01-31_final.stac-item
2016-01-31 09:36:51	ga_s2am_ard_3-2-1_55GDP_2016-01-31_final.stac-item

Return to ga_s2am_ard_3 across January 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

January

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