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

First 100 results (query limit)

Time (local)	Label
2021-11-28 12:14:21	ga_s2am_ard_3-2-1_49KHP_2021-11-28_final
2021-11-28 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-11-28_final
2021-11-28 12:14:31	ga_s2am_ard_3-2-1_49JHN_2021-11-28_final
2021-11-28 12:14:45	ga_s2am_ard_3-2-1_49JFN_2021-11-28_final
2021-11-28 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-11-28_final
2021-11-28 12:15:20	ga_s2am_ard_3-2-1_49JGK_2021-11-28_final
2021-11-29 10:01:11	ga_s2am_ard_3-2-1_55LCD_2021-11-29_final
2021-11-29 10:01:17	ga_s2am_ard_3-2-1_55LEC_2021-11-29_final
2021-11-29 10:01:28	ga_s2am_ard_3-2-1_55KFB_2021-11-29_final
2021-11-29 10:01:32	ga_s2am_ard_3-2-1_55KEB_2021-11-29_final
2021-11-29 10:01:35	ga_s2am_ard_3-2-1_55KDB_2021-11-29_final
2021-11-29 10:01:50	ga_s2am_ard_3-2-1_55KDA_2021-11-29_final
2021-11-29 10:02:01	ga_s2am_ard_3-2-1_55KEV_2021-11-29_final
2021-11-29 10:02:04	ga_s2am_ard_3-2-1_55KDV_2021-11-29_final
2021-11-29 10:02:08	ga_s2am_ard_3-2-1_55KCV_2021-11-29_final
2021-11-29 10:02:41	ga_s2am_ard_3-2-1_54KZC_2021-11-29_final
2021-11-29 10:02:44	ga_s2am_ard_3-2-1_55KES_2021-11-29_final
2021-11-29 10:02:48	ga_s2am_ard_3-2-1_55KDS_2021-11-29_final
2021-11-29 10:02:59	ga_s2am_ard_3-2-1_54KZA_2021-11-29_final
2021-11-29 10:03:09	ga_s2am_ard_3-2-1_54KZA_2021-11-29_final
2021-11-29 10:03:17	ga_s2am_ard_3-2-1_55KDQ_2021-11-29_final
2021-11-29 10:03:23	ga_s2am_ard_3-2-1_55KBQ_2021-11-29_final
2021-11-29 10:03:24	ga_s2am_ard_3-2-1_54KZV_2021-11-29_final
2021-11-29 10:03:38	ga_s2am_ard_3-2-1_55KBP_2021-11-29_final
2021-11-29 10:03:38	ga_s2am_ard_3-2-1_54KZU_2021-11-29_final
2021-11-29 10:03:49	ga_s2am_ard_3-2-1_55JCN_2021-11-29_final
2021-11-29 10:03:52	ga_s2am_ard_3-2-1_54JZT_2021-11-29_final
2021-11-29 10:04:04	ga_s2am_ard_3-2-1_55JCM_2021-11-29_final
2021-11-29 10:04:13	ga_s2am_ard_3-2-1_55JDL_2021-11-29_final
2021-11-29 10:04:18	ga_s2am_ard_3-2-1_55JCL_2021-11-29_final
2021-11-29 10:04:23	ga_s2am_ard_3-2-1_55JDK_2021-11-29_final
2021-11-29 10:04:32	ga_s2am_ard_3-2-1_54JXR_2021-11-29_final
2021-11-29 10:04:39	ga_s2am_ard_3-2-1_54JYQ_2021-11-29_final
2021-11-29 10:05:06	ga_s2am_ard_3-2-1_55JBH_2021-11-29_final
2021-11-29 10:05:08	ga_s2am_ard_3-2-1_54JYN_2021-11-29_final
2021-11-29 10:05:16	ga_s2am_ard_3-2-1_55JCG_2021-11-29_final
2021-11-29 10:05:27	ga_s2am_ard_3-2-1_54JXM_2021-11-29_final
2021-11-29 10:05:34	ga_s2am_ard_3-2-1_55JBF_2021-11-29_final
2021-11-29 10:05:39	ga_s2am_ard_3-2-1_55HCE_2021-11-29_final
2021-11-29 10:05:49	ga_s2am_ard_3-2-1_55HBE_2021-11-29_final
2021-11-29 10:05:52	ga_s2am_ard_3-2-1_54HYK_2021-11-29_final
2021-11-29 10:05:59	ga_s2am_ard_3-2-1_54HWK_2021-11-29_final
2021-11-29 10:06:04	ga_s2am_ard_3-2-1_55HBD_2021-11-29_final
2021-11-29 10:06:06	ga_s2am_ard_3-2-1_54HYJ_2021-11-29_final
2021-11-29 10:06:18	ga_s2am_ard_3-2-1_55HBC_2021-11-29_final
2021-11-29 10:06:20	ga_s2am_ard_3-2-1_54HYH_2021-11-29_final
2021-11-29 10:06:28	ga_s2am_ard_3-2-1_54HWH_2021-11-29_final
2021-11-29 10:06:34	ga_s2am_ard_3-2-1_54HVH_2021-11-29_final
2021-11-29 10:06:45	ga_s2am_ard_3-2-1_55HBA_2021-11-29_final
2021-11-29 10:06:49	ga_s2am_ard_3-2-1_54HYF_2021-11-29_final
2021-11-29 10:06:53	ga_s2am_ard_3-2-1_54HXF_2021-11-29_final
2021-11-29 10:06:57	ga_s2am_ard_3-2-1_54HWF_2021-11-29_final
2021-11-29 10:07:00	ga_s2am_ard_3-2-1_54HVF_2021-11-29_final
2021-11-29 10:07:14	ga_s2am_ard_3-2-1_54HYD_2021-11-29_final
2021-11-29 10:07:40	ga_s2am_ard_3-2-1_54HWC_2021-11-29_final
2021-11-29 10:07:44	ga_s2am_ard_3-2-1_54HVC_2021-11-29_final.stac-item
2021-11-29 11:41:00	ga_s2am_ard_3-2-1_51LVG_2021-11-29_final
2021-11-29 11:41:05	ga_s2am_ard_3-2-1_51LWG_2021-11-29_final.stac-item
2021-11-29 11:41:06	ga_s2am_ard_3-2-1_51LVG_2021-11-29_final
2021-11-29 11:41:07	ga_s2am_ard_3-2-1_51LVF_2021-11-29_final
2021-11-29 11:41:15	ga_s2am_ard_3-2-1_51LVF_2021-11-29_final
2021-11-29 11:41:47	ga_s2am_ard_3-2-1_51LUD_2021-11-29_final.stac-item
2021-11-29 11:41:58	ga_s2am_ard_3-2-1_51LVC_2021-11-29_final
2021-11-29 11:42:09	ga_s2am_ard_3-2-1_51KWB_2021-11-29_final
2021-11-29 11:42:13	ga_s2am_ard_3-2-1_51KVB_2021-11-29_final
2021-11-29 11:42:16	ga_s2am_ard_3-2-1_51KUB_2021-11-29_final.stac-item
2021-11-29 11:42:27	ga_s2am_ard_3-2-1_51KVA_2021-11-29_final
2021-11-29 11:42:42	ga_s2am_ard_3-2-1_51KVV_2021-11-29_final
2021-11-29 11:43:04	ga_s2am_ard_3-2-1_50KRD_2021-11-29_final
2021-11-29 11:43:15	ga_s2am_ard_3-2-1_51KUT_2021-11-29_final
2021-11-29 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-11-29_final
2021-11-29 11:43:47	ga_s2am_ard_3-2-1_50KRA_2021-11-29_final
2021-11-29 11:44:02	ga_s2am_ard_3-2-1_50KRV_2021-11-29_final
2021-11-29 11:44:13	ga_s2am_ard_3-2-1_51KUP_2021-11-29_final
2021-11-29 11:44:16	ga_s2am_ard_3-2-1_50KRU_2021-11-29_final
2021-11-29 11:44:16	ga_s2am_ard_3-2-1_51KTP_2021-11-29_final
2021-11-29 11:44:20	ga_s2am_ard_3-2-1_50KQU_2021-11-29_final
2021-11-29 11:44:27	ga_s2am_ard_3-2-1_51JUN_2021-11-29_final
2021-11-29 11:44:30	ga_s2am_ard_3-2-1_50JRT_2021-11-29_final
2021-11-29 11:44:38	ga_s2am_ard_3-2-1_50JPT_2021-11-29_final
2021-11-29 11:44:40	ga_s2am_ard_3-2-1_51JUM_2021-11-29_final
2021-11-29 11:44:51	ga_s2am_ard_3-2-1_51JUL_2021-11-29_final
2021-11-29 11:44:52	ga_s2am_ard_3-2-1_50JPS_2021-11-29_final
2021-11-29 11:45:07	ga_s2am_ard_3-2-1_50JPR_2021-11-29_final
2021-11-29 11:45:14	ga_s2am_ard_3-2-1_51JTK_2021-11-29_final
2021-11-29 11:45:17	ga_s2am_ard_3-2-1_50JQQ_2021-11-29_final
2021-11-29 11:45:24	ga_s2am_ard_3-2-1_50JNQ_2021-11-29_final
2021-11-29 11:45:43	ga_s2am_ard_3-2-1_51JTH_2021-11-29_final
2021-11-29 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-11-29_final
2021-11-29 11:45:54	ga_s2am_ard_3-2-1_50JNN_2021-11-29_final
2021-11-29 11:45:57	ga_s2am_ard_3-2-1_51JTG_2021-11-29_final
2021-11-29 11:46:05	ga_s2am_ard_3-2-1_50JPM_2021-11-29_final
2021-11-29 11:46:07	ga_s2am_ard_3-2-1_51JTF_2021-11-29_final
2021-11-29 11:46:15	ga_s2am_ard_3-2-1_50JQL_2021-11-29_final
2021-11-29 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-11-29_final
2021-11-29 11:46:26	ga_s2am_ard_3-2-1_50JML_2021-11-29_final
2021-11-29 11:46:30	ga_s2am_ard_3-2-1_50HQK_2021-11-29_final
2021-11-29 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-11-29_final
2021-11-29 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-11-29_final
2021-11-29 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2021-11-29_final

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