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
2020-07-27 10:03:14	ga_s2am_ard_3-2-1_55KEQ_2020-07-27_final
2020-07-27 10:03:15	ga_s2am_ard_3-2-1_54KZA_2020-07-27_final
2020-07-27 10:03:26	ga_s2am_ard_3-2-1_55KCQ_2020-07-27_final
2020-07-27 10:03:29	ga_s2am_ard_3-2-1_54KZV_2020-07-27_final
2020-07-27 10:03:44	ga_s2am_ard_3-2-1_55KBP_2020-07-27_final
2020-07-27 10:03:48	ga_s2am_ard_3-2-1_54KYU_2020-07-27_final
2020-07-27 10:04:13	ga_s2am_ard_3-2-1_54JZS_2020-07-27_final
2020-07-27 10:04:24	ga_s2am_ard_3-2-1_55JCL_2020-07-27_final
2020-07-27 10:04:29	ga_s2am_ard_3-2-1_55JDK_2020-07-27_final
2020-07-27 10:04:42	ga_s2am_ard_3-2-1_55JBK_2020-07-27_final
2020-07-27 10:05:08	ga_s2am_ard_3-2-1_55JCH_2020-07-27_final
2020-07-27 10:05:14	ga_s2am_ard_3-2-1_54JYN_2020-07-27_final
2020-07-27 10:05:18	ga_s2am_ard_3-2-1_54JXN_2020-07-27_final
2020-07-27 10:05:32	ga_s2am_ard_3-2-1_54JXM_2020-07-27_final
2020-07-27 10:05:34	ga_s2am_ard_3-2-1_55JCF_2020-07-27_final
2020-07-27 10:05:44	ga_s2am_ard_3-2-1_55HCE_2020-07-27_final
2020-07-27 10:05:50	ga_s2am_ard_3-2-1_54JWL_2020-07-27_final
2020-07-27 10:05:55	ga_s2am_ard_3-2-1_55HBE_2020-07-27_final
2020-07-27 10:05:57	ga_s2am_ard_3-2-1_54HYK_2020-07-27_final
2020-07-27 10:06:01	ga_s2am_ard_3-2-1_54HXK_2020-07-27_final
2020-07-27 10:06:09	ga_s2am_ard_3-2-1_55HBD_2020-07-27_final
2020-07-27 10:06:12	ga_s2am_ard_3-2-1_54HYJ_2020-07-27_final
2020-07-27 10:06:16	ga_s2am_ard_3-2-1_54HXJ_2020-07-27_final
2020-07-27 10:06:30	ga_s2am_ard_3-2-1_54HXH_2020-07-27_final
2020-07-27 10:06:38	ga_s2am_ard_3-2-1_55HBB_2020-07-27_final
2020-07-27 10:06:40	ga_s2am_ard_3-2-1_54HYG_2020-07-27_final
2020-07-27 10:06:44	ga_s2am_ard_3-2-1_54HXG_2020-07-27_final
2020-07-27 10:06:48	ga_s2am_ard_3-2-1_54HWG_2020-07-27_final
2020-07-27 10:06:52	ga_s2am_ard_3-2-1_54HVG_2020-07-27_final
2020-07-27 10:06:59	ga_s2am_ard_3-2-1_54HXF_2020-07-27_final
2020-07-27 10:07:01	ga_s2am_ard_3-2-1_55HBV_2020-07-27_final
2020-07-27 10:07:09	ga_s2am_ard_3-2-1_54HYE_2020-07-27_final
2020-07-27 10:07:13	ga_s2am_ard_3-2-1_54HXE_2020-07-27_final
2020-07-27 10:07:17	ga_s2am_ard_3-2-1_54HWE_2020-07-27_final
2020-07-27 10:07:21	ga_s2am_ard_3-2-1_54HVE_2020-07-27_final
2020-07-27 10:07:32	ga_s2am_ard_3-2-1_54HWD_2020-07-27_final
2020-07-27 10:07:35	ga_s2am_ard_3-2-1_54HVD_2020-07-27_final
2020-07-27 10:07:42	ga_s2am_ard_3-2-1_54HXC_2020-07-27_final
2020-07-27 10:07:46	ga_s2am_ard_3-2-1_54HWC_2020-07-27_final
2020-07-27 10:07:50	ga_s2am_ard_3-2-1_54HVC_2020-07-27_final.stac-item
2020-07-27 11:41:21	ga_s2am_ard_3-2-1_51LVF_2020-07-27_final
2020-07-27 11:42:01	ga_s2am_ard_3-2-1_51LWC_2020-07-27_final
2020-07-27 11:42:15	ga_s2am_ard_3-2-1_51KWB_2020-07-27_final
2020-07-27 11:42:19	ga_s2am_ard_3-2-1_51KVB_2020-07-27_final
2020-07-27 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-07-27_final
2020-07-27 11:43:24	ga_s2am_ard_3-2-1_50KRC_2020-07-27_final
2020-07-27 11:44:04	ga_s2am_ard_3-2-1_51KUQ_2020-07-27_final
2020-07-27 11:44:07	ga_s2am_ard_3-2-1_50KRV_2020-07-27_final
2020-07-27 11:44:22	ga_s2am_ard_3-2-1_51KTP_2020-07-27_final
2020-07-27 11:44:25	ga_s2am_ard_3-2-1_50KQU_2020-07-27_final
2020-07-27 11:44:57	ga_s2am_ard_3-2-1_51JUL_2020-07-27_final
2020-07-27 11:45:20	ga_s2am_ard_3-2-1_51JTK_2020-07-27_final
2020-07-27 11:45:35	ga_s2am_ard_3-2-1_51JTJ_2020-07-27_final
2020-07-27 11:45:56	ga_s2am_ard_3-2-1_50JPN_2020-07-27_final
2020-07-27 11:45:59	ga_s2am_ard_3-2-1_50JNN_2020-07-27_final
2020-07-27 11:46:01	ga_s2am_ard_3-2-1_51JTG_2020-07-27_final
2020-07-27 11:46:07	ga_s2am_ard_3-2-1_50JNN_2020-07-27_final
2020-07-27 11:46:08	ga_s2am_ard_3-2-1_51JTG_2020-07-27_final
2020-07-27 11:46:35	ga_s2am_ard_3-2-1_50HQK_2020-07-27_final
2020-07-27 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2020-07-27_final
2020-07-27 11:46:54	ga_s2am_ard_3-2-1_50HPJ_2020-07-27_final
2020-07-27 11:47:08	ga_s2am_ard_3-2-1_50HPH_2020-07-27_final
2020-07-27 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-07-27_final.stac-item
2020-07-27 11:47:30	ga_s2am_ard_3-2-1_50HMG_2020-07-27_final.stac-item
2020-07-27 11:47:32	ga_s2am_ard_3-2-1_50HLG_2020-07-27_final.stac-item
2020-07-28 09:32:51	ga_s2am_ard_3-2-1_56KNB_2020-07-28_final.stac-item
2020-07-28 09:32:52	ga_s2am_ard_3-2-1_56KMB_2020-07-28_final.stac-item
2020-07-28 09:34:06	ga_s2am_ard_3-2-1_55JHM_2020-07-28_final
2020-07-28 09:34:17	ga_s2am_ard_3-2-1_56JLR_2020-07-28_final
2020-07-28 09:34:25	ga_s2am_ard_3-2-1_56JNQ_2020-07-28_final.stac-item
2020-07-28 09:34:28	ga_s2am_ard_3-2-1_56JMQ_2020-07-28_final
2020-07-28 09:34:35	ga_s2am_ard_3-2-1_56JKQ_2020-07-28_final
2020-07-28 09:34:43	ga_s2am_ard_3-2-1_56JMP_2020-07-28_final
2020-07-28 09:34:49	ga_s2am_ard_3-2-1_56JNN_2020-07-28_final
2020-07-28 09:34:57	ga_s2am_ard_3-2-1_56JMN_2020-07-28_final
2020-07-28 09:35:01	ga_s2am_ard_3-2-1_56JLN_2020-07-28_final
2020-07-28 09:35:26	ga_s2am_ard_3-2-1_56JML_2020-07-28_final
2020-07-28 09:35:30	ga_s2am_ard_3-2-1_56JLL_2020-07-28_final
2020-07-28 09:35:36	ga_s2am_ard_3-2-1_55JGF_2020-07-28_final
2020-07-28 09:35:50	ga_s2am_ard_3-2-1_55HGE_2020-07-28_final
2020-07-28 09:35:56	ga_s2am_ard_3-2-1_55HFE_2020-07-28_final
2020-07-28 09:35:59	ga_s2am_ard_3-2-1_56HLJ_2020-07-28_final
2020-07-28 09:36:02	ga_s2am_ard_3-2-1_56HKJ_2020-07-28_final
2020-07-28 09:36:08	ga_s2am_ard_3-2-1_55HFD_2020-07-28_final
2020-07-28 09:36:13	ga_s2am_ard_3-2-1_56HLH_2020-07-28_final.stac-item
2020-07-28 09:36:22	ga_s2am_ard_3-2-1_55HFC_2020-07-28_final
2020-07-28 09:36:31	ga_s2am_ard_3-2-1_56HKG_2020-07-28_final
2020-07-28 09:36:33	ga_s2am_ard_3-2-1_55HGB_2020-07-28_final
2020-07-28 09:36:37	ga_s2am_ard_3-2-1_55HFB_2020-07-28_final
2020-07-28 09:37:02	ga_s2am_ard_3-2-1_55HGV_2020-07-28_final
2020-07-28 09:37:06	ga_s2am_ard_3-2-1_55HFV_2020-07-28_final
2020-07-28 09:37:09	ga_s2am_ard_3-2-1_55HEV_2020-07-28_final
2020-07-28 09:37:35	ga_s2am_ard_3-2-1_55HFT_2020-07-28_final.stac-item
2020-07-28 09:37:39	ga_s2am_ard_3-2-1_55HET_2020-07-28_final
2020-07-28 09:37:45	ga_s2am_ard_3-2-1_55HDT_2020-07-28_final
2020-07-28 09:38:03	ga_s2am_ard_3-2-1_55GFR_2020-07-28_final
2020-07-28 09:38:07	ga_s2am_ard_3-2-1_55GER_2020-07-28_final
2020-07-28 09:38:11	ga_s2am_ard_3-2-1_55GDR_2020-07-28_final
2020-07-28 09:38:46	ga_s2am_ard_3-2-1_55GFN_2020-07-28_final
2020-07-28 09:38:51	ga_s2am_ard_3-2-1_55GEN_2020-07-28_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