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
2021-10-10 10:05:43	ga_s2am_ard_3-2-1_54JYL_2021-10-10_final
2021-10-10 10:05:54	ga_s2am_ard_3-2-1_55HBE_2021-10-10_final
2021-10-10 10:05:57	ga_s2am_ard_3-2-1_54HYK_2021-10-10_final
2021-10-10 10:06:01	ga_s2am_ard_3-2-1_54HXK_2021-10-10_final
2021-10-10 10:06:24	ga_s2am_ard_3-2-1_55HBC_2021-10-10_final
2021-10-10 10:06:26	ga_s2am_ard_3-2-1_54HYH_2021-10-10_final
2021-10-10 10:06:44	ga_s2am_ard_3-2-1_54HXG_2021-10-10_final
2021-10-10 10:07:02	ga_s2am_ard_3-2-1_54HWF_2021-10-10_final
2021-10-10 10:07:06	ga_s2am_ard_3-2-1_54HVF_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 11:41:02	ga_s2am_ard_3-2-1_51LWG_2021-10-10_final.stac-item
2021-10-10 11:41:06	ga_s2am_ard_3-2-1_51LVG_2021-10-10_final
2021-10-10 11:41:20	ga_s2am_ard_3-2-1_51LVF_2021-10-10_final
2021-10-10 11:41:52	ga_s2am_ard_3-2-1_51LUD_2021-10-10_final.stac-item
2021-10-10 11:42:14	ga_s2am_ard_3-2-1_51KWB_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 11:42:47	ga_s2am_ard_3-2-1_51KVV_2021-10-10_final
2021-10-10 11:42:51	ga_s2am_ard_3-2-1_51KUV_2021-10-10_final
2021-10-10 11:43:09	ga_s2am_ard_3-2-1_50KRD_2021-10-10_final
2021-10-10 11:43:24	ga_s2am_ard_3-2-1_50KRC_2021-10-10_final
2021-10-10 11:43:38	ga_s2am_ard_3-2-1_50KRB_2021-10-10_final
2021-10-10 11:43:53	ga_s2am_ard_3-2-1_50KRA_2021-10-10_final
2021-10-10 11:44:07	ga_s2am_ard_3-2-1_51KTQ_2021-10-10_final
2021-10-10 11:44:07	ga_s2am_ard_3-2-1_50KRV_2021-10-10_final
2021-10-10 11:44:11	ga_s2am_ard_3-2-1_50KQV_2021-10-10_final
2021-10-10 11:44:18	ga_s2am_ard_3-2-1_51KUP_2021-10-10_final
2021-10-10 11:44:21	ga_s2am_ard_3-2-1_50KRU_2021-10-10_final
2021-10-10 11:44:21	ga_s2am_ard_3-2-1_51KTP_2021-10-10_final
2021-10-10 11:44:25	ga_s2am_ard_3-2-1_50KQU_2021-10-10_final
2021-10-10 11:44:28	ga_s2am_ard_3-2-1_50KPU_2021-10-10_final
2021-10-10 11:44:32	ga_s2am_ard_3-2-1_51JUN_2021-10-10_final
2021-10-10 11:44:36	ga_s2am_ard_3-2-1_50JRT_2021-10-10_final
2021-10-10 11:44:36	ga_s2am_ard_3-2-1_51JTN_2021-10-10_final
2021-10-10 11:44:40	ga_s2am_ard_3-2-1_50JQT_2021-10-10_final
2021-10-10 11:44:43	ga_s2am_ard_3-2-1_50JPT_2021-10-10_final
2021-10-10 11:44:46	ga_s2am_ard_3-2-1_51JUM_2021-10-10_final
2021-10-10 11:44:50	ga_s2am_ard_3-2-1_50JRS_2021-10-10_final
2021-10-10 11:44:56	ga_s2am_ard_3-2-1_51JUL_2021-10-10_final
2021-10-10 11:44:58	ga_s2am_ard_3-2-1_50JPS_2021-10-10_final
2021-10-10 11:45:12	ga_s2am_ard_3-2-1_50JPR_2021-10-10_final
2021-10-10 11:45:19	ga_s2am_ard_3-2-1_51JTK_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 11:45:44	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 11:46:12	ga_s2am_ard_3-2-1_51JTF_2021-10-10_final
2021-10-10 11:46:20	ga_s2am_ard_3-2-1_50JQL_2021-10-10_final
2021-10-10 11:46:31	ga_s2am_ard_3-2-1_50JML_2021-10-10_final
2021-10-10 11:46:35	ga_s2am_ard_3-2-1_50HQK_2021-10-10_final
2021-10-10 11:46:39	ga_s2am_ard_3-2-1_50HPK_2021-10-10_final
2021-10-10 11:46:58	ga_s2am_ard_3-2-1_50HQH_2021-10-10_final
2021-10-10 11:47:22	ga_s2am_ard_3-2-1_50HPG_2021-10-10_final.stac-item
2021-10-10 11:47:33	ga_s2am_ard_3-2-1_50HLG_2021-10-10_final.stac-item
2021-10-11 09:32:58	ga_s2am_ard_3-2-1_56KNA_2021-10-11_final.stac-item
2021-10-11 09:33:01	ga_s2am_ard_3-2-1_56KMA_2021-10-11_final
2021-10-11 09:33:33	ga_s2am_ard_3-2-1_56KLU_2021-10-11_final
2021-10-11 09:33:41	ga_s2am_ard_3-2-1_56JNT_2021-10-11_final
2021-10-11 09:33:44	ga_s2am_ard_3-2-1_56JMT_2021-10-11_final
2021-10-11 09:33:48	ga_s2am_ard_3-2-1_56JLT_2021-10-11_final
2021-10-11 09:33:55	ga_s2am_ard_3-2-1_56JKT_2021-10-11_final
2021-10-11 09:34:02	ga_s2am_ard_3-2-1_56JLS_2021-10-11_final
2021-10-11 09:34:06	ga_s2am_ard_3-2-1_55JHM_2021-10-11_final
2021-10-11 09:34:10	ga_s2am_ard_3-2-1_56JNR_2021-10-11_final.stac-item
2021-10-11 09:34:13	ga_s2am_ard_3-2-1_56JMR_2021-10-11_final
2021-10-11 09:34:17	ga_s2am_ard_3-2-1_56JLR_2021-10-11_final
2021-10-11 09:34:24	ga_s2am_ard_3-2-1_56JNQ_2021-10-11_final.stac-item
2021-10-11 09:34:28	ga_s2am_ard_3-2-1_56JMQ_2021-10-11_final
2021-10-11 09:34:31	ga_s2am_ard_3-2-1_56JLQ_2021-10-11_final
2021-10-11 09:34:34	ga_s2am_ard_3-2-1_56JKQ_2021-10-11_final
2021-10-11 09:34:38	ga_s2am_ard_3-2-1_56JNP_2021-10-11_final.stac-item
2021-10-11 09:34:42	ga_s2am_ard_3-2-1_56JMP_2021-10-11_final
2021-10-11 09:35:00	ga_s2am_ard_3-2-1_56JLN_2021-10-11_final
2021-10-11 09:35:04	ga_s2am_ard_3-2-1_56JKN_2021-10-11_final
2021-10-11 09:35:07	ga_s2am_ard_3-2-1_55JGH_2021-10-11_final
2021-10-11 09:35:33	ga_s2am_ard_3-2-1_56JKL_2021-10-11_final
2021-10-11 09:35:35	ga_s2am_ard_3-2-1_55JGF_2021-10-11_final
2021-10-11 09:35:47	ga_s2am_ard_3-2-1_56HKK_2021-10-11_final
2021-10-11 09:35:50	ga_s2am_ard_3-2-1_55HGE_2021-10-11_final
2021-10-11 09:35:55	ga_s2am_ard_3-2-1_55HFE_2021-10-11_final
2021-10-11 09:36:17	ga_s2am_ard_3-2-1_56HKH_2021-10-11_final
2021-10-11 09:36:18	ga_s2am_ard_3-2-1_55HGC_2021-10-11_final
2021-10-11 09:36:28	ga_s2am_ard_3-2-1_56HLG_2021-10-11_final.stac-item
2021-10-11 09:36:37	ga_s2am_ard_3-2-1_55HFB_2021-10-11_final
2021-10-11 09:36:56	ga_s2am_ard_3-2-1_55HEA_2021-10-11_final
2021-10-11 09:37:24	ga_s2am_ard_3-2-1_55HEU_2021-10-11_final
2021-10-11 09:37:34	ga_s2am_ard_3-2-1_55HFT_2021-10-11_final.stac-item
2021-10-11 09:37:38	ga_s2am_ard_3-2-1_55HET_2021-10-11_final
2021-10-11 09:37:45	ga_s2am_ard_3-2-1_55HDT_2021-10-11_final
2021-10-11 09:38:32	ga_s2am_ard_3-2-1_55GFP_2021-10-11_final
2021-10-11 09:38:36	ga_s2am_ard_3-2-1_55GEP_2021-10-11_final
2021-10-11 09:38:40	ga_s2am_ard_3-2-1_55GDP_2021-10-11_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