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
2021-05-10 09:56:48	ga_s2am_ard_3-2-1_55HCA_2021-05-10_final
2021-05-10 09:56:51	ga_s2am_ard_3-2-1_55HBA_2021-05-10_final
2021-05-10 09:56:52	ga_s2am_ard_3-2-1_54HYF_2021-05-10_final
2021-05-10 09:56:56	ga_s2am_ard_3-2-1_54HXF_2021-05-10_final
2021-05-10 09:56:57	ga_s2am_ard_3-2-1_55HDV_2021-05-10_final
2021-05-10 09:57:02	ga_s2am_ard_3-2-1_55HCV_2021-05-10_final
2021-05-10 09:57:06	ga_s2am_ard_3-2-1_55HBV_2021-05-10_final
2021-05-10 09:57:07	ga_s2am_ard_3-2-1_54HYE_2021-05-10_final
2021-05-10 09:57:11	ga_s2am_ard_3-2-1_54HXE_2021-05-10_final
2021-05-10 09:57:17	ga_s2am_ard_3-2-1_55HCU_2021-05-10_final
2021-05-10 09:57:20	ga_s2am_ard_3-2-1_55HBU_2021-05-10_final
2021-05-10 09:57:21	ga_s2am_ard_3-2-1_54HYD_2021-05-10_final
2021-05-10 09:57:25	ga_s2am_ard_3-2-1_54HXD_2021-05-10_final
2021-05-10 09:57:46	ga_s2am_ard_3-2-1_55HCS_2021-05-10_final
2021-05-10 09:57:49	ga_s2am_ard_3-2-1_55HBS_2021-05-10_final
2021-05-10 09:57:50	ga_s2am_ard_3-2-1_54HYB_2021-05-10_final
2021-05-10 09:58:13	ga_s2am_ard_3-2-1_55GCQ_2021-05-10_final
2021-05-10 09:58:18	ga_s2am_ard_3-2-1_55GBQ_2021-05-10_final.stac-item
2021-05-10 09:58:19	ga_s2am_ard_3-2-1_54GYV_2021-05-10_final.stac-item
2021-05-10 09:58:23	ga_s2am_ard_3-2-1_55GCP_2021-05-10_final
2021-05-10 11:31:17	ga_s2am_ard_3-2-1_52LBK_2021-05-10_final
2021-05-10 11:31:20	ga_s2am_ard_3-2-1_51LZE_2021-05-10_final
2021-05-10 11:31:23	ga_s2am_ard_3-2-1_51LYE_2021-05-10_final
2021-05-10 11:31:28	ga_s2am_ard_3-2-1_52LBJ_2021-05-10_final
2021-05-10 11:31:34	ga_s2am_ard_3-2-1_51LZD_2021-05-10_final
2021-05-10 11:31:48	ga_s2am_ard_3-2-1_51LZC_2021-05-10_final
2021-05-10 11:31:52	ga_s2am_ard_3-2-1_51LYC_2021-05-10_final
2021-05-10 11:31:56	ga_s2am_ard_3-2-1_51LXC_2021-05-10_final
2021-05-10 11:31:58	ga_s2am_ard_3-2-1_51KZB_2021-05-10_final
2021-05-10 11:32:07	ga_s2am_ard_3-2-1_51KYB_2021-05-10_final
2021-05-10 11:32:10	ga_s2am_ard_3-2-1_51KXB_2021-05-10_final
2021-05-10 11:32:14	ga_s2am_ard_3-2-1_51KWB_2021-05-10_final
2021-05-10 11:32:19	ga_s2am_ard_3-2-1_51KVB_2021-05-10_final
2021-05-10 11:32:39	ga_s2am_ard_3-2-1_51KXV_2021-05-10_final
2021-05-10 11:32:43	ga_s2am_ard_3-2-1_51KWV_2021-05-10_final
2021-05-10 11:32:46	ga_s2am_ard_3-2-1_51KVV_2021-05-10_final
2021-05-10 11:32:50	ga_s2am_ard_3-2-1_51KYU_2021-05-10_final
2021-05-10 11:32:54	ga_s2am_ard_3-2-1_51KXU_2021-05-10_final
2021-05-10 11:33:01	ga_s2am_ard_3-2-1_51KYT_2021-05-10_final
2021-05-10 11:33:12	ga_s2am_ard_3-2-1_51KWT_2021-05-10_final
2021-05-10 11:33:15	ga_s2am_ard_3-2-1_51KVT_2021-05-10_final
2021-05-10 11:33:21	ga_s2am_ard_3-2-1_51KUT_2021-05-10_final
2021-05-10 11:33:23	ga_s2am_ard_3-2-1_51KXS_2021-05-10_final
2021-05-10 11:33:33	ga_s2am_ard_3-2-1_51KUS_2021-05-10_final
2021-05-10 11:33:44	ga_s2am_ard_3-2-1_51KVR_2021-05-10_final
2021-05-10 11:33:55	ga_s2am_ard_3-2-1_51KWQ_2021-05-10_final
2021-05-10 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2021-05-10_final
2021-05-10 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2021-05-10_final
2021-05-10 11:34:14	ga_s2am_ard_3-2-1_51JXN_2021-05-10_final
2021-05-10 11:34:31	ga_s2am_ard_3-2-1_51JUN_2021-05-10_final
2021-05-10 11:34:35	ga_s2am_ard_3-2-1_51JTN_2021-05-10_final
2021-05-10 11:34:36	ga_s2am_ard_3-2-1_50JRT_2021-05-10_final
2021-05-10 11:34:42	ga_s2am_ard_3-2-1_51JVM_2021-05-10_final
2021-05-10 11:34:46	ga_s2am_ard_3-2-1_51JUM_2021-05-10_final
2021-05-10 11:34:48	ga_s2am_ard_3-2-1_50JRS_2021-05-10_final
2021-05-10 11:34:48	ga_s2am_ard_3-2-1_51JTM_2021-05-10_final
2021-05-10 11:34:53	ga_s2am_ard_3-2-1_51JWL_2021-05-10_final
2021-05-10 11:34:57	ga_s2am_ard_3-2-1_51JVL_2021-05-10_final
2021-05-10 11:35:03	ga_s2am_ard_3-2-1_51JTL_2021-05-10_final
2021-05-10 11:35:15	ga_s2am_ard_3-2-1_51JUK_2021-05-10_final
2021-05-10 11:35:18	ga_s2am_ard_3-2-1_51JTK_2021-05-10_final
2021-05-10 11:35:55	ga_s2am_ard_3-2-1_51JVG_2021-05-10_final
2021-05-10 11:35:58	ga_s2am_ard_3-2-1_51JUG_2021-05-10_final
2021-05-10 11:36:02	ga_s2am_ard_3-2-1_51JTG_2021-05-10_final
2021-05-10 11:36:04	ga_s2am_ard_3-2-1_50JQM_2021-05-10_final
2021-05-10 11:36:09	ga_s2am_ard_3-2-1_51JVF_2021-05-10_final
2021-05-10 11:36:13	ga_s2am_ard_3-2-1_51JUF_2021-05-10_final
2021-05-10 11:36:16	ga_s2am_ard_3-2-1_51JTF_2021-05-10_final
2021-05-10 11:36:23	ga_s2am_ard_3-2-1_51HVE_2021-05-10_final
2021-05-10 11:36:26	ga_s2am_ard_3-2-1_50JPL_2021-05-10_final
2021-05-10 11:36:27	ga_s2am_ard_3-2-1_51HUE_2021-05-10_final
2021-05-10 11:36:31	ga_s2am_ard_3-2-1_51HTE_2021-05-10_final
2021-05-10 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-05-10_final
2021-05-10 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-05-10_final
2021-05-10 11:36:46	ga_s2am_ard_3-2-1_51HTD_2021-05-10_final
2021-05-10 11:37:00	ga_s2am_ard_3-2-1_51HTC_2021-05-10_final
2021-05-10 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-05-10_final
2021-05-10 11:37:08	ga_s2am_ard_3-2-1_51HUB_2021-05-10_final.stac-item
2021-05-10 11:37:09	ga_s2am_ard_3-2-1_51HTB_2021-05-10_final.stac-item
2021-05-10 11:37:10	ga_s2am_ard_3-2-1_50HQH_2021-05-10_final
2021-05-10 11:37:16	ga_s2am_ard_3-2-1_51HTB_2021-05-10_final.stac-item
2021-05-10 11:37:17	ga_s2am_ard_3-2-1_50HQG_2021-05-10_final.stac-item
2021-05-11 09:23:39	ga_s2am_ard_3-2-1_56JNT_2021-05-10_final
2021-05-11 09:23:54	ga_s2am_ard_3-2-1_56JNS_2021-05-10_final
2021-05-11 09:24:08	ga_s2am_ard_3-2-1_56JNR_2021-05-10_final.stac-item
2021-05-11 09:24:37	ga_s2am_ard_3-2-1_56JNP_2021-05-10_final.stac-item
2021-05-11 09:24:40	ga_s2am_ard_3-2-1_56JMP_2021-05-10_final
2021-05-11 09:25:10	ga_s2am_ard_3-2-1_56JMM_2021-05-10_final
2021-05-11 09:25:21	ga_s2am_ard_3-2-1_56JNL_2021-05-10_final
2021-05-11 09:25:24	ga_s2am_ard_3-2-1_56JML_2021-05-10_final
2021-05-11 09:25:29	ga_s2am_ard_3-2-1_56JLL_2021-05-10_final
2021-05-11 09:25:39	ga_s2am_ard_3-2-1_56HMK_2021-05-10_final
2021-05-11 09:25:42	ga_s2am_ard_3-2-1_56HLK_2021-05-10_final
2021-05-11 09:25:53	ga_s2am_ard_3-2-1_56HMJ_2021-05-10_final
2021-05-11 09:26:31	ga_s2am_ard_3-2-1_56HKG_2021-05-10_final
2021-05-11 09:26:44	ga_s2am_ard_3-2-1_56HKF_2021-05-10_final
2021-05-11 09:27:00	ga_s2am_ard_3-2-1_55HGV_2021-05-10_final
2021-05-11 09:27:13	ga_s2am_ard_3-2-1_55HGU_2021-05-10_final.stac-item
2021-05-11 09:27:48	ga_s2am_ard_3-2-1_55HFS_2021-05-10_final.stac-item
2021-05-11 09:28:15	ga_s2am_ard_3-2-1_55GFQ_2021-05-10_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