Search ga_s2am_ard_3 across June 2017

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
2017-06-01 09:22:47	ga_s2am_ard_3-2-1_56JNR_2017-05-31_final.stac-item
2017-06-01 09:24:03	ga_s2am_ard_3-2-1_56JML_2017-05-31_final
2017-06-01 09:24:03	ga_s2am_ard_3-2-1_56HMK_2017-05-31_final
2017-06-01 09:24:03	ga_s2am_ard_3-2-1_56JNL_2017-05-31_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JFP_2017-06-01_final
2017-06-01 11:03:01	ga_s2am_ard_3-2-1_52JFR_2017-06-01_final
2017-06-03 10:01:18	ga_s2am_ard_3-2-1_54JYP_2017-06-03_final
2017-06-03 10:01:18	ga_s2am_ard_3-2-1_54HYH_2017-06-03_final
2017-06-03 10:01:18	ga_s2am_ard_3-2-1_55HBC_2017-06-03_final
2017-06-03 10:01:18	ga_s2am_ard_3-2-1_54JYM_2017-06-03_final
2017-06-04 09:32:20	ga_s2am_ard_3-2-1_56JNP_2017-06-04_final.stac-item
2017-06-04 09:34:37	ga_s2am_ard_3-2-1_55HDS_2017-06-04_final
2017-06-04 09:34:37	ga_s2am_ard_3-2-1_56JML_2017-06-04_final
2017-06-04 09:34:37	ga_s2am_ard_3-2-1_56HKH_2017-06-04_final
2017-06-04 09:34:37	ga_s2am_ard_3-2-1_55HGC_2017-06-04_final
2017-06-04 09:34:37	ga_s2am_ard_3-2-1_56JKM_2017-06-04_final
2017-06-04 09:34:37	ga_s2am_ard_3-2-1_55JGG_2017-06-04_final
2017-06-06 11:51:13	ga_s2am_ard_3-2-1_50JPR_2017-06-06_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JYJ_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JXJ_2017-06-07_final
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51HXC_2017-06-07_final.stac-item
2017-06-07 11:23:45	ga_s2am_ard_3-2-1_51JYG_2017-06-07_final
2017-06-08 10:53:16	ga_s2am_ard_3-2-1_52JGP_2017-06-08_final
2017-06-08 10:53:16	ga_s2am_ard_3-2-1_52JFP_2017-06-08_final
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_54JWR_2017-06-09_final
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_54JWQ_2017-06-09_final
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_53HQC_2017-06-09_final
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_53JQJ_2017-06-09_final
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_54JTM_2017-06-09_final
2017-06-09 10:23:08	ga_s2am_ard_3-2-1_53JQG_2017-06-09_final
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_54HYB_2017-06-10_final
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55JDF_2017-06-10_final
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_54HYH_2017-06-10_final
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55JFJ_2017-06-10_final
2017-06-10 09:52:47	ga_s2am_ard_3-2-1_55HBC_2017-06-10_final
2017-06-11 09:22:46	ga_s2am_ard_3-2-1_56JML_2017-06-10_final
2017-06-11 09:22:46	ga_s2am_ard_3-2-1_56JNL_2017-06-10_final
2017-06-12 10:32:12	ga_s2am_ard_3-2-1_53JPJ_2017-06-12_final
2017-06-12 10:32:12	ga_s2am_ard_3-2-1_53JQJ_2017-06-12_final
2017-06-12 10:32:12	ga_s2am_ard_3-2-1_53JQG_2017-06-12_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50HQH_2017-06-13_final
2017-06-13 11:43:06	ga_s2am_ard_3-2-1_50JQP_2017-06-13_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51JYJ_2017-06-14_final
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51JXJ_2017-06-14_final
2017-06-15 10:42:56	ga_s2am_ard_3-2-1_53HMC_2017-06-15_final.stac-item
2017-06-15 10:42:56	ga_s2am_ard_3-2-1_53JKG_2017-06-15_final
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54JWR_2017-06-16_final
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54JYP_2017-06-16_final
2017-06-16 10:11:32	ga_s2am_ard_3-2-1_54JXR_2017-06-16_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_54HYB_2017-06-17_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_55HDS_2017-06-17_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_55JDF_2017-06-17_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_55JGJ_2017-06-17_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_55HGC_2017-06-17_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_55JFJ_2017-06-17_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_56JKM_2017-06-17_final
2017-06-17 09:42:49	ga_s2am_ard_3-2-1_55JGG_2017-06-17_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JGJ_2017-06-19_final
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_50JKM_2017-06-19_final
2017-06-20 09:55:54	ga_s2am_ard_3-2-1_54HYH_2017-06-20_final
2017-06-20 09:55:54	ga_s2am_ard_3-2-1_55HBC_2017-06-20_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_50HQH_2017-06-20_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_50JQP_2017-06-20_final
2017-06-21 11:02:58	ga_s2am_ard_3-2-1_52JFP_2017-06-21_final
2017-06-21 11:02:58	ga_s2am_ard_3-2-1_52JFR_2017-06-21_final
2017-06-22 10:27:07	ga_s2am_ard_3-2-1_53JPJ_2017-06-22_final
2017-06-22 10:27:07	ga_s2am_ard_3-2-1_53JQJ_2017-06-22_final
2017-06-22 10:34:52	ga_s2am_ard_3-2-1_53JQJ_2017-06-22_final
2017-06-22 10:34:52	ga_s2am_ard_3-2-1_53JPJ_2017-06-22_final
2017-06-22 10:34:52	ga_s2am_ard_3-2-1_53JQG_2017-06-22_final
2017-06-23 10:01:15	ga_s2am_ard_3-2-1_54JYP_2017-06-23_final
2017-06-23 10:01:15	ga_s2am_ard_3-2-1_54HYH_2017-06-23_final
2017-06-23 10:01:15	ga_s2am_ard_3-2-1_55HBC_2017-06-23_final
2017-06-23 10:01:15	ga_s2am_ard_3-2-1_54JYM_2017-06-23_final
2017-06-23 10:01:15	ga_s2am_ard_3-2-1_54JXR_2017-06-23_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_55HFS_2017-06-24_final.stac-item
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_55HDS_2017-06-24_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_56JML_2017-06-24_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_55JGJ_2017-06-24_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_56HKH_2017-06-24_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_55HGC_2017-06-24_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_56JKM_2017-06-24_final
2017-06-24 09:32:16	ga_s2am_ard_3-2-1_55JGG_2017-06-24_final
2017-06-24 09:37:48	ga_s2am_ard_3-2-1_55HDS_2017-06-24_final
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50JPR_2017-06-26_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JYJ_2017-06-27_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JXJ_2017-06-27_final
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_52JGP_2017-06-28_final
2017-06-28 10:53:13	ga_s2am_ard_3-2-1_52JFP_2017-06-28_final
2017-06-29 10:23:05	ga_s2am_ard_3-2-1_54JWR_2017-06-29_final
2017-06-29 10:23:05	ga_s2am_ard_3-2-1_53HQC_2017-06-29_final
2017-06-29 10:23:05	ga_s2am_ard_3-2-1_53JQJ_2017-06-29_final
2017-06-29 10:23:05	ga_s2am_ard_3-2-1_54JTM_2017-06-29_final
2017-06-29 10:23:05	ga_s2am_ard_3-2-1_53JQG_2017-06-29_final
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_54HYB_2017-06-30_final
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_55JDF_2017-06-30_final
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_54HYH_2017-06-30_final
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_55JFJ_2017-06-30_final
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_55HBC_2017-06-30_final
2017-06-30 09:52:34	ga_s2am_ard_3-2-1_55JBG_2017-06-30_final

Return to ga_s2am_ard_3 across June 2017 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

2017

June

All days