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
2021-10-09 12:15:25	ga_s2am_ard_3-2-1_49JGK_2021-10-09_final
2021-10-10 10:01:34	ga_s2am_ard_3-2-1_55KFB_2021-10-10_final
2021-10-10 10:01:37	ga_s2am_ard_3-2-1_55KEB_2021-10-10_final
2021-10-10 10:01:41	ga_s2am_ard_3-2-1_55KDB_2021-10-10_final
2021-10-10 10:01:48	ga_s2am_ard_3-2-1_55KFA_2021-10-10_final
2021-10-10 10:01:58	ga_s2am_ard_3-2-1_55KCA_2021-10-10_final
2021-10-10 10:02:06	ga_s2am_ard_3-2-1_55KEV_2021-10-10_final
2021-10-10 10:02:13	ga_s2am_ard_3-2-1_55KCV_2021-10-10_final
2021-10-10 10:02:20	ga_s2am_ard_3-2-1_55KBV_2021-10-10_final
2021-10-10 10:02:21	ga_s2am_ard_3-2-1_55KEU_2021-10-10_final
2021-10-10 10:02:24	ga_s2am_ard_3-2-1_55KDU_2021-10-10_final
2021-10-10 10:02:35	ga_s2am_ard_3-2-1_55KET_2021-10-10_final
2021-10-10 10:02:42	ga_s2am_ard_3-2-1_55KCT_2021-10-10_final
2021-10-10 10:03:14	ga_s2am_ard_3-2-1_55KEQ_2021-10-10_final
2021-10-10 10:03:26	ga_s2am_ard_3-2-1_55KCQ_2021-10-10_final
2021-10-10 10:03:43	ga_s2am_ard_3-2-1_55KBP_2021-10-10_final
2021-10-10 10:03:58	ga_s2am_ard_3-2-1_54JZT_2021-10-10_final
2021-10-10 10:03:58	ga_s2am_ard_3-2-1_55JBN_2021-10-10_final
2021-10-10 10:04:01	ga_s2am_ard_3-2-1_54JYT_2021-10-10_final
2021-10-10 10:04:06	ga_s2am_ard_3-2-1_55JDM_2021-10-10_final
2021-10-10 10:04:24	ga_s2am_ard_3-2-1_55JCL_2021-10-10_final
2021-10-10 10:04:28	ga_s2am_ard_3-2-1_55JDK_2021-10-10_final
2021-10-10 10:04:37	ga_s2am_ard_3-2-1_54JXR_2021-10-10_final
2021-10-10 10:04:38	ga_s2am_ard_3-2-1_55JCK_2021-10-10_final
2021-10-10 10:04:49	ga_s2am_ard_3-2-1_54JXQ_2021-10-10_final
2021-10-10 10:04:53	ga_s2am_ard_3-2-1_55JCJ_2021-10-10_final
2021-10-10 10:04:56	ga_s2am_ard_3-2-1_55JBJ_2021-10-10_final
2021-10-10 10:04:59	ga_s2am_ard_3-2-1_54JYP_2021-10-10_final
2021-10-10 10:05:08	ga_s2am_ard_3-2-1_55JCH_2021-10-10_final
2021-10-10 10:05:11	ga_s2am_ard_3-2-1_55JBH_2021-10-10_final
2021-10-10 10:05:14	ga_s2am_ard_3-2-1_54JYN_2021-10-10_final
2021-10-10 10:05:17	ga_s2am_ard_3-2-1_54JXN_2021-10-10_final
2021-10-10 10:05:22	ga_s2am_ard_3-2-1_55JCG_2021-10-10_final
2021-10-10 10:05:32	ga_s2am_ard_3-2-1_54JXM_2021-10-10_final
2021-10-10 10:05:34	ga_s2am_ard_3-2-1_55JCF_2021-10-10_final
2021-10-10 10:05:50	ga_s2am_ard_3-2-1_54JWL_2021-10-10_final
2021-10-10 10:05:54	ga_s2am_ard_3-2-1_55HBE_2021-10-10_final
2021-10-10 10:06:01	ga_s2am_ard_3-2-1_54HXK_2021-10-10_final
2021-10-10 10:06:04	ga_s2am_ard_3-2-1_54HWK_2021-10-10_final
2021-10-10 10:06:26	ga_s2am_ard_3-2-1_54HYH_2021-10-10_final
2021-10-10 10:06:30	ga_s2am_ard_3-2-1_54HXH_2021-10-10_final
2021-10-10 10:06:38	ga_s2am_ard_3-2-1_55HBB_2021-10-10_final
2021-10-10 10:06:40	ga_s2am_ard_3-2-1_54HYG_2021-10-10_final
2021-10-10 10:06:44	ga_s2am_ard_3-2-1_54HXG_2021-10-10_final
2021-10-10 10:06:51	ga_s2am_ard_3-2-1_55HBA_2021-10-10_final
2021-10-10 10:06:51	ga_s2am_ard_3-2-1_54HVG_2021-10-10_final
2021-10-10 10:06:55	ga_s2am_ard_3-2-1_54HYF_2021-10-10_final
2021-10-10 10:06:59	ga_s2am_ard_3-2-1_54HXF_2021-10-10_final
2021-10-10 10:07:01	ga_s2am_ard_3-2-1_55HBV_2021-10-10_final
2021-10-10 10:07:08	ga_s2am_ard_3-2-1_54HYE_2021-10-10_final
2021-10-10 10:07:13	ga_s2am_ard_3-2-1_54HXE_2021-10-10_final
2021-10-10 10:07:17	ga_s2am_ard_3-2-1_54HWE_2021-10-10_final
2021-10-10 10:07:20	ga_s2am_ard_3-2-1_54HVE_2021-10-10_final
2021-10-10 10:07:31	ga_s2am_ard_3-2-1_54HWD_2021-10-10_final
2021-10-10 10:07:35	ga_s2am_ard_3-2-1_54HVD_2021-10-10_final
2021-10-10 10:07:42	ga_s2am_ard_3-2-1_54HXC_2021-10-10_final
2021-10-10 10:07:46	ga_s2am_ard_3-2-1_54HWC_2021-10-10_final
2021-10-10 10:07:49	ga_s2am_ard_3-2-1_54HVC_2021-10-10_final.stac-item
2021-10-10 11:41:31	ga_s2am_ard_3-2-1_51LWE_2021-10-10_final
2021-10-10 11:41:35	ga_s2am_ard_3-2-1_51LVE_2021-10-10_final
2021-10-10 11:41:38	ga_s2am_ard_3-2-1_51LUE_2021-10-10_final
2021-10-10 11:42:18	ga_s2am_ard_3-2-1_51KVB_2021-10-10_final
2021-10-10 11:42:22	ga_s2am_ard_3-2-1_51KUB_2021-10-10_final.stac-item
2021-10-10 11:42:26	ga_s2am_ard_3-2-1_51KWA_2021-10-10_final
2021-10-10 11:42:33	ga_s2am_ard_3-2-1_51KVA_2021-10-10_final
2021-10-10 11:42:36	ga_s2am_ard_3-2-1_51KUA_2021-10-10_final
2021-10-10 11:42:51	ga_s2am_ard_3-2-1_51KUV_2021-10-10_final
2021-10-10 11:43:02	ga_s2am_ard_3-2-1_51KVU_2021-10-10_final
2021-10-10 11:43:20	ga_s2am_ard_3-2-1_51KUT_2021-10-10_final
2021-10-10 11:44:18	ga_s2am_ard_3-2-1_51KUP_2021-10-10_final
2021-10-10 11:44:28	ga_s2am_ard_3-2-1_50KPU_2021-10-10_final
2021-10-10 11:44:36	ga_s2am_ard_3-2-1_50JRT_2021-10-10_final
2021-10-10 11:44:40	ga_s2am_ard_3-2-1_50JQT_2021-10-10_final
2021-10-10 11:44:56	ga_s2am_ard_3-2-1_51JUL_2021-10-10_final
2021-10-10 11:45:09	ga_s2am_ard_3-2-1_50JQR_2021-10-10_final
2021-10-10 11:45:12	ga_s2am_ard_3-2-1_50JPR_2021-10-10_final
2021-10-10 11:45:23	ga_s2am_ard_3-2-1_50JQQ_2021-10-10_final
2021-10-10 11:45:26	ga_s2am_ard_3-2-1_50JPQ_2021-10-10_final
2021-10-10 11:45:30	ga_s2am_ard_3-2-1_50JNQ_2021-10-10_final
2021-10-10 11:45:34	ga_s2am_ard_3-2-1_51JTJ_2021-10-10_final
2021-10-10 11:45:37	ga_s2am_ard_3-2-1_50JQP_2021-10-10_final
2021-10-10 11:45:44	ga_s2am_ard_3-2-1_50JNP_2021-10-10_final
2021-10-10 11:45:49	ga_s2am_ard_3-2-1_51JTH_2021-10-10_final
2021-10-10 11:45:52	ga_s2am_ard_3-2-1_50JQN_2021-10-10_final
2021-10-10 11:45:55	ga_s2am_ard_3-2-1_50JPN_2021-10-10_final
2021-10-10 11:45:59	ga_s2am_ard_3-2-1_50JNN_2021-10-10_final
2021-10-10 11:46:10	ga_s2am_ard_3-2-1_50JPM_2021-10-10_final
2021-10-10 11:46:24	ga_s2am_ard_3-2-1_50JPL_2021-10-10_final
2021-10-10 11:46:28	ga_s2am_ard_3-2-1_50JNL_2021-10-10_final
2021-10-10 11:46:31	ga_s2am_ard_3-2-1_50JML_2021-10-10_final
2021-10-10 11:46:43	ga_s2am_ard_3-2-1_50HNK_2021-10-10_final
2021-10-10 11:46:46	ga_s2am_ard_3-2-1_50HMK_2021-10-10_final
2021-10-10 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2021-10-10_final
2021-10-10 11:46:57	ga_s2am_ard_3-2-1_50HNJ_2021-10-10_final
2021-10-10 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-10_final
2021-10-10 11:47:07	ga_s2am_ard_3-2-1_50HPH_2021-10-10_final
2021-10-10 11:47:19	ga_s2am_ard_3-2-1_50HLH_2021-10-10_final
2021-10-10 11:47:22	ga_s2am_ard_3-2-1_50HPG_2021-10-10_final.stac-item
2021-10-10 11:47:26	ga_s2am_ard_3-2-1_50HNG_2021-10-10_final.stac-item
2021-10-10 11:47:29	ga_s2am_ard_3-2-1_50HMG_2021-10-10_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