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
2019-11-01 09:32:48	ga_s2am_ard_3-2-1_56KNB_2019-11-01_final.stac-item
2019-11-01 09:32:50	ga_s2am_ard_3-2-1_56KMB_2019-11-01_final.stac-item
2019-11-01 09:32:55	ga_s2am_ard_3-2-1_56KNA_2019-11-01_final.stac-item
2019-11-01 09:32:58	ga_s2am_ard_3-2-1_56KMA_2019-11-01_final
2019-11-01 09:33:02	ga_s2am_ard_3-2-1_56KLA_2019-11-01_final
2019-11-01 09:33:16	ga_s2am_ard_3-2-1_56KLV_2019-11-01_final
2019-11-01 09:33:31	ga_s2am_ard_3-2-1_56KLU_2019-11-01_final
2019-11-01 09:33:39	ga_s2am_ard_3-2-1_56JNT_2019-11-01_final
2019-11-01 09:33:42	ga_s2am_ard_3-2-1_56JMT_2019-11-01_final
2019-11-01 09:33:46	ga_s2am_ard_3-2-1_56JLT_2019-11-01_final
2019-11-01 09:33:53	ga_s2am_ard_3-2-1_56JKT_2019-11-01_final
2019-11-01 09:34:00	ga_s2am_ard_3-2-1_56JLS_2019-11-01_final
2019-11-01 09:34:08	ga_s2am_ard_3-2-1_56JNR_2019-11-01_final.stac-item
2019-11-01 09:34:17	ga_s2am_ard_3-2-1_56JKR_2019-11-01_final
2019-11-01 09:34:29	ga_s2am_ard_3-2-1_56JLQ_2019-11-01_final
2019-11-01 09:34:44	ga_s2am_ard_3-2-1_56JLP_2019-11-01_final
2019-11-01 09:34:53	ga_s2am_ard_3-2-1_55JGJ_2019-11-01_final
2019-11-01 09:35:13	ga_s2am_ard_3-2-1_56JLM_2019-11-01_final
2019-11-01 09:35:18	ga_s2am_ard_3-2-1_55JGG_2019-11-01_final
2019-11-01 09:35:24	ga_s2am_ard_3-2-1_56JML_2019-11-01_final
2019-11-01 09:35:27	ga_s2am_ard_3-2-1_56JLL_2019-11-01_final
2019-11-01 09:35:31	ga_s2am_ard_3-2-1_56JKL_2019-11-01_final
2019-11-01 09:35:38	ga_s2am_ard_3-2-1_56HMK_2019-11-01_final
2019-11-01 09:35:45	ga_s2am_ard_3-2-1_56HKK_2019-11-01_final
2019-11-01 09:35:53	ga_s2am_ard_3-2-1_55HFE_2019-11-01_final
2019-11-01 09:36:14	ga_s2am_ard_3-2-1_56HKH_2019-11-01_final
2019-11-01 09:36:16	ga_s2am_ard_3-2-1_55HGC_2019-11-01_final
2019-11-01 09:36:45	ga_s2am_ard_3-2-1_55HGA_2019-11-01_final
2019-11-01 09:36:49	ga_s2am_ard_3-2-1_55HFA_2019-11-01_final
2019-11-01 09:36:53	ga_s2am_ard_3-2-1_55HEA_2019-11-01_final
2019-11-01 09:36:59	ga_s2am_ard_3-2-1_55HGV_2019-11-01_final
2019-11-01 09:37:03	ga_s2am_ard_3-2-1_55HFV_2019-11-01_final
2019-11-01 09:37:07	ga_s2am_ard_3-2-1_55HEV_2019-11-01_final
2019-11-01 09:37:22	ga_s2am_ard_3-2-1_55HEU_2019-11-01_final
2019-11-01 09:37:47	ga_s2am_ard_3-2-1_55HFS_2019-11-01_final.stac-item
2019-11-01 09:38:01	ga_s2am_ard_3-2-1_55GFR_2019-11-01_final
2019-11-01 09:38:05	ga_s2am_ard_3-2-1_55GER_2019-11-01_final
2019-11-01 09:38:08	ga_s2am_ard_3-2-1_55GDR_2019-11-01_final
2019-11-01 09:38:15	ga_s2am_ard_3-2-1_55GFQ_2019-11-01_final
2019-11-01 09:38:23	ga_s2am_ard_3-2-1_55GDQ_2019-11-01_final
2019-11-01 09:38:38	ga_s2am_ard_3-2-1_55GDP_2019-11-01_final
2019-11-01 09:38:43	ga_s2am_ard_3-2-1_55GCP_2019-11-01_final
2019-11-01 11:10:58	ga_s2am_ard_3-2-1_52LFM_2019-11-01_final.stac-item
2019-11-01 11:10:59	ga_s2am_ard_3-2-1_52LEL_2019-11-01_final.stac-item
2019-11-01 11:11:08	ga_s2am_ard_3-2-1_52LEL_2019-11-01_final.stac-item
2019-11-01 11:11:34	ga_s2am_ard_3-2-1_52LFJ_2019-11-01_final
2019-11-01 11:11:37	ga_s2am_ard_3-2-1_52LEJ_2019-11-01_final
2019-11-01 11:11:40	ga_s2am_ard_3-2-1_52LDJ_2019-11-01_final
2019-11-01 11:11:51	ga_s2am_ard_3-2-1_52LEH_2019-11-01_final
2019-11-01 11:11:53	ga_s2am_ard_3-2-1_52KGG_2019-11-01_final
2019-11-01 11:11:55	ga_s2am_ard_3-2-1_52LDH_2019-11-01_final
2019-11-01 11:12:02	ga_s2am_ard_3-2-1_52KFG_2019-11-01_final
2019-11-01 11:12:06	ga_s2am_ard_3-2-1_52KEG_2019-11-01_final
2019-11-01 11:12:09	ga_s2am_ard_3-2-1_52KDG_2019-11-01_final
2019-11-01 11:12:14	ga_s2am_ard_3-2-1_52KCG_2019-11-01_final
2019-11-01 11:12:31	ga_s2am_ard_3-2-1_52KFE_2019-11-01_final
2019-11-01 11:12:35	ga_s2am_ard_3-2-1_52KEE_2019-11-01_final
2019-11-01 11:12:38	ga_s2am_ard_3-2-1_52KDE_2019-11-01_final
2019-11-01 11:12:41	ga_s2am_ard_3-2-1_52KCE_2019-11-01_final
2019-11-01 11:13:18	ga_s2am_ard_3-2-1_52KEB_2019-11-01_final
2019-11-01 11:13:22	ga_s2am_ard_3-2-1_52KDB_2019-11-01_final
2019-11-01 11:13:33	ga_s2am_ard_3-2-1_52KEA_2019-11-01_final
2019-11-01 11:13:36	ga_s2am_ard_3-2-1_52KDA_2019-11-01_final
2019-11-01 11:13:40	ga_s2am_ard_3-2-1_52KCA_2019-11-01_final
2019-11-01 11:13:43	ga_s2am_ard_3-2-1_51KZR_2019-11-01_final
2019-11-01 11:13:54	ga_s2am_ard_3-2-1_52KCV_2019-11-01_final
2019-11-01 11:13:57	ga_s2am_ard_3-2-1_52KBV_2019-11-01_final
2019-11-01 11:14:09	ga_s2am_ard_3-2-1_52KCU_2019-11-01_final
2019-11-01 11:14:10	ga_s2am_ard_3-2-1_52JET_2019-11-01_final
2019-11-01 11:14:12	ga_s2am_ard_3-2-1_51KZP_2019-11-01_final
2019-11-01 11:14:12	ga_s2am_ard_3-2-1_52KBU_2019-11-01_final
2019-11-01 11:14:20	ga_s2am_ard_3-2-1_52JDT_2019-11-01_final
2019-11-01 11:14:23	ga_s2am_ard_3-2-1_52JCT_2019-11-01_final
2019-11-01 11:14:26	ga_s2am_ard_3-2-1_51JZN_2019-11-01_final
2019-11-01 11:14:26	ga_s2am_ard_3-2-1_52JBT_2019-11-01_final
2019-11-01 11:14:32	ga_s2am_ard_3-2-1_51JYN_2019-11-01_final
2019-11-01 11:14:38	ga_s2am_ard_3-2-1_52JCS_2019-11-01_final
2019-11-01 11:14:41	ga_s2am_ard_3-2-1_51JZM_2019-11-01_final
2019-11-01 11:14:49	ga_s2am_ard_3-2-1_52JDR_2019-11-01_final
2019-11-01 11:14:56	ga_s2am_ard_3-2-1_52JBR_2019-11-01_final
2019-11-01 11:14:59	ga_s2am_ard_3-2-1_51JYL_2019-11-01_final
2019-11-01 11:15:03	ga_s2am_ard_3-2-1_52JDQ_2019-11-01_final
2019-11-01 11:15:07	ga_s2am_ard_3-2-1_52JCQ_2019-11-01_final
2019-11-01 11:15:13	ga_s2am_ard_3-2-1_51JYK_2019-11-01_final
2019-11-01 11:15:15	ga_s2am_ard_3-2-1_52JDP_2019-11-01_final
2019-11-01 11:15:21	ga_s2am_ard_3-2-1_52JCP_2019-11-01_final
2019-11-01 11:15:28	ga_s2am_ard_3-2-1_51JYJ_2019-11-01_final
2019-11-01 11:15:33	ga_s2am_ard_3-2-1_51JXJ_2019-11-01_final
2019-11-01 11:15:51	ga_s2am_ard_3-2-1_52JCM_2019-11-01_final
2019-11-01 11:15:54	ga_s2am_ard_3-2-1_52JBM_2019-11-01_final
2019-11-01 11:15:57	ga_s2am_ard_3-2-1_51JYG_2019-11-01_final
2019-11-01 11:16:00	ga_s2am_ard_3-2-1_51JXG_2019-11-01_final
2019-11-01 11:16:09	ga_s2am_ard_3-2-1_52JBL_2019-11-01_final
2019-11-01 11:16:19	ga_s2am_ard_3-2-1_52HCK_2019-11-01_final.stac-item
2019-11-01 11:16:23	ga_s2am_ard_3-2-1_51JWF_2019-11-01_final
2019-11-01 11:16:23	ga_s2am_ard_3-2-1_52HBK_2019-11-01_final
2019-11-01 11:16:28	ga_s2am_ard_3-2-1_51HXE_2019-11-01_final
2019-11-01 11:16:31	ga_s2am_ard_3-2-1_51HWE_2019-11-01_final
2019-11-01 11:16:34	ga_s2am_ard_3-2-1_51HXD_2019-11-01_final
2019-11-01 11:16:35	ga_s2am_ard_3-2-1_51HXE_2019-11-01_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