Search ga_s2am_ard_3 whole collection

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

60 results

Time (local)	Label
2018-12-04 12:14:47	ga_s2am_ard_3-2-1_49JGM_2018-12-04_final
2018-12-04 12:14:51	ga_s2am_ard_3-2-1_49JFM_2018-12-04_final
2018-12-04 12:15:02	ga_s2am_ard_3-2-1_49JGL_2018-12-04_final
2018-12-04 12:15:11	ga_s2am_ard_3-2-1_49JGK_2018-12-04_final
2018-12-05 11:44:19	ga_s2am_ard_3-2-1_50KQU_2018-12-05_final
2018-12-05 11:44:20	ga_s2am_ard_3-2-1_50KPU_2018-12-05_final
2018-12-05 11:44:22	ga_s2am_ard_3-2-1_51JUN_2018-12-05_final
2018-12-05 11:44:24	ga_s2am_ard_3-2-1_50JRT_2018-12-05_final
2018-12-05 11:44:24	ga_s2am_ard_3-2-1_51JTN_2018-12-05_final
2018-12-05 11:44:26	ga_s2am_ard_3-2-1_50JQT_2018-12-05_final
2018-12-05 11:44:29	ga_s2am_ard_3-2-1_50JPT_2018-12-05_final
2018-12-05 11:44:32	ga_s2am_ard_3-2-1_51JUM_2018-12-05_final
2018-12-05 11:44:36	ga_s2am_ard_3-2-1_50JRS_2018-12-05_final
2018-12-05 11:44:37	ga_s2am_ard_3-2-1_51JTM_2018-12-05_final
2018-12-05 11:44:40	ga_s2am_ard_3-2-1_50JQS_2018-12-05_final
2018-12-05 11:44:43	ga_s2am_ard_3-2-1_51JUL_2018-12-05_final
2018-12-05 11:44:44	ga_s2am_ard_3-2-1_50JPS_2018-12-05_final
2018-12-05 11:44:51	ga_s2am_ard_3-2-1_51JTL_2018-12-05_final
2018-12-05 11:44:55	ga_s2am_ard_3-2-1_50JQR_2018-12-05_final
2018-12-05 11:44:58	ga_s2am_ard_3-2-1_50JPR_2018-12-05_final
2018-12-05 11:45:03	ga_s2am_ard_3-2-1_50JNR_2018-12-05_final
2018-12-05 11:45:06	ga_s2am_ard_3-2-1_51JTK_2018-12-05_final
2018-12-05 11:45:09	ga_s2am_ard_3-2-1_50JQQ_2018-12-05_final
2018-12-05 11:45:13	ga_s2am_ard_3-2-1_50JPQ_2018-12-05_final
2018-12-05 11:45:16	ga_s2am_ard_3-2-1_50JNQ_2018-12-05_final
2018-12-05 11:45:21	ga_s2am_ard_3-2-1_51JTJ_2018-12-05_final
2018-12-05 11:45:24	ga_s2am_ard_3-2-1_50JQP_2018-12-05_final
2018-12-05 11:45:27	ga_s2am_ard_3-2-1_50JPP_2018-12-05_final
2018-12-05 11:45:31	ga_s2am_ard_3-2-1_50JNP_2018-12-05_final
2018-12-05 11:45:35	ga_s2am_ard_3-2-1_51JTH_2018-12-05_final
2018-12-05 11:45:38	ga_s2am_ard_3-2-1_50JQN_2018-12-05_final
2018-12-05 11:45:42	ga_s2am_ard_3-2-1_50JPN_2018-12-05_final
2018-12-05 11:45:45	ga_s2am_ard_3-2-1_50JNN_2018-12-05_final
2018-12-05 11:45:48	ga_s2am_ard_3-2-1_51JTG_2018-12-05_final
2018-12-05 11:45:52	ga_s2am_ard_3-2-1_50JQM_2018-12-05_final
2018-12-05 11:45:56	ga_s2am_ard_3-2-1_50JPM_2018-12-05_final
2018-12-05 11:45:59	ga_s2am_ard_3-2-1_51JTF_2018-12-05_final
2018-12-05 11:46:00	ga_s2am_ard_3-2-1_50JNM_2018-12-05_final
2018-12-05 11:46:04	ga_s2am_ard_3-2-1_50JMM_2018-12-05_final
2018-12-05 11:46:07	ga_s2am_ard_3-2-1_50JQL_2018-12-05_final
2018-12-05 11:46:11	ga_s2am_ard_3-2-1_50JPL_2018-12-05_final
2018-12-05 11:46:14	ga_s2am_ard_3-2-1_50JNL_2018-12-05_final
2018-12-05 11:46:17	ga_s2am_ard_3-2-1_50JML_2018-12-05_final
2018-12-05 11:46:21	ga_s2am_ard_3-2-1_50HQK_2018-12-05_final
2018-12-05 11:46:25	ga_s2am_ard_3-2-1_50HPK_2018-12-05_final
2018-12-05 11:46:29	ga_s2am_ard_3-2-1_50HNK_2018-12-05_final
2018-12-05 11:46:32	ga_s2am_ard_3-2-1_50HMK_2018-12-05_final
2018-12-05 11:46:35	ga_s2am_ard_3-2-1_50HQJ_2018-12-05_final
2018-12-05 11:46:40	ga_s2am_ard_3-2-1_50HPJ_2018-12-05_final
2018-12-05 11:46:43	ga_s2am_ard_3-2-1_50HNJ_2018-12-05_final
2018-12-05 11:46:45	ga_s2am_ard_3-2-1_50HQH_2018-12-05_final
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final
2018-12-05 11:46:54	ga_s2am_ard_3-2-1_50HPH_2018-12-05_final
2018-12-05 11:46:58	ga_s2am_ard_3-2-1_50HNH_2018-12-05_final
2018-12-05 11:47:01	ga_s2am_ard_3-2-1_50HMH_2018-12-05_final
2018-12-05 11:47:06	ga_s2am_ard_3-2-1_50HLH_2018-12-05_final
2018-12-05 11:47:08	ga_s2am_ard_3-2-1_50HPG_2018-12-05_final.stac-item
2018-12-05 11:47:12	ga_s2am_ard_3-2-1_50HNG_2018-12-05_final.stac-item
2018-12-05 11:47:16	ga_s2am_ard_3-2-1_50HMG_2018-12-05_final.stac-item
2018-12-05 11:47:19	ga_s2am_ard_3-2-1_50HLG_2018-12-05_final.stac-item

Return to ga_s2am_ard_3 whole collection 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

All years