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
2020-06-03 12:04:49	ga_s2am_ard_3-2-1_50JKT_2020-06-03_final
2020-06-03 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-06-03_final
2020-06-03 12:04:55	ga_s2am_ard_3-2-1_50JMS_2020-06-03_final
2020-06-03 12:05:00	ga_s2am_ard_3-2-1_50JLS_2020-06-03_final
2020-06-03 12:05:03	ga_s2am_ard_3-2-1_49JHM_2020-06-03_final
2020-06-03 12:05:05	ga_s2am_ard_3-2-1_50JMR_2020-06-03_final
2020-06-03 12:05:15	ga_s2am_ard_3-2-1_49JFM_2020-06-03_final
2020-06-03 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-06-03_final
2020-06-03 12:06:10	ga_s2am_ard_3-2-1_50JLM_2020-06-03_final
2020-06-03 12:06:16	ga_s2am_ard_3-2-1_50JKM_2020-06-03_final
2020-06-04 09:51:18	ga_s2am_ard_3-2-1_55LHC_2020-06-04_final.stac-item
2020-06-04 09:51:22	ga_s2am_ard_3-2-1_55LGC_2020-06-04_final
2020-06-04 09:51:25	ga_s2am_ard_3-2-1_55LFC_2020-06-04_final
2020-06-04 09:51:31	ga_s2am_ard_3-2-1_56KKG_2020-06-04_final.stac-item
2020-06-04 09:51:33	ga_s2am_ard_3-2-1_55KHB_2020-06-04_final.stac-item
2020-06-04 09:51:36	ga_s2am_ard_3-2-1_55KGB_2020-06-04_final
2020-06-04 09:51:43	ga_s2am_ard_3-2-1_56KKF_2020-06-04_final
2020-06-04 09:51:49	ga_s2am_ard_3-2-1_56KKF_2020-06-04_final
2020-06-04 09:52:12	ga_s2am_ard_3-2-1_55KEV_2020-06-04_final
2020-06-04 09:52:41	ga_s2am_ard_3-2-1_55KHS_2020-06-04_final
2020-06-04 09:53:01	ga_s2am_ard_3-2-1_55KDS_2020-06-04_final
2020-06-04 09:53:07	ga_s2am_ard_3-2-1_55KFR_2020-06-04_final
2020-06-04 09:53:10	ga_s2am_ard_3-2-1_55KER_2020-06-04_final
2020-06-04 09:53:13	ga_s2am_ard_3-2-1_55KDR_2020-06-04_final
2020-06-04 09:53:21	ga_s2am_ard_3-2-1_55KFQ_2020-06-04_final
2020-06-04 09:53:44	ga_s2am_ard_3-2-1_55JGN_2020-06-04_final
2020-06-04 09:53:50	ga_s2am_ard_3-2-1_55JFN_2020-06-04_final
2020-06-04 09:53:54	ga_s2am_ard_3-2-1_55JEN_2020-06-04_final
2020-06-04 09:53:57	ga_s2am_ard_3-2-1_55JDN_2020-06-04_final
2020-06-04 09:54:04	ga_s2am_ard_3-2-1_55JFM_2020-06-04_final
2020-06-04 09:54:15	ga_s2am_ard_3-2-1_55JCM_2020-06-04_final
2020-06-04 09:54:23	ga_s2am_ard_3-2-1_55JEL_2020-06-04_final
2020-06-04 09:54:26	ga_s2am_ard_3-2-1_55JDL_2020-06-04_final
2020-06-04 09:54:44	ga_s2am_ard_3-2-1_55JCK_2020-06-04_final
2020-06-04 09:54:51	ga_s2am_ard_3-2-1_55JEJ_2020-06-04_final
2020-06-04 09:54:55	ga_s2am_ard_3-2-1_55JDJ_2020-06-04_final
2020-06-04 09:55:24	ga_s2am_ard_3-2-1_55JDG_2020-06-04_final
2020-06-04 09:55:27	ga_s2am_ard_3-2-1_55JCG_2020-06-04_final
2020-06-04 09:55:39	ga_s2am_ard_3-2-1_55JDF_2020-06-04_final
2020-06-04 09:55:42	ga_s2am_ard_3-2-1_55JCF_2020-06-04_final
2020-06-04 09:55:53	ga_s2am_ard_3-2-1_55HDE_2020-06-04_final
2020-06-04 09:55:57	ga_s2am_ard_3-2-1_55HCE_2020-06-04_final
2020-06-04 09:56:03	ga_s2am_ard_3-2-1_54HYK_2020-06-04_final
2020-06-04 09:56:29	ga_s2am_ard_3-2-1_55HBC_2020-06-04_final
2020-06-04 09:56:51	ga_s2am_ard_3-2-1_55HDA_2020-06-04_final
2020-06-04 09:56:58	ga_s2am_ard_3-2-1_55HBA_2020-06-04_final
2020-06-04 09:57:00	ga_s2am_ard_3-2-1_54HYF_2020-06-04_final
2020-06-04 09:57:04	ga_s2am_ard_3-2-1_55HDV_2020-06-04_final
2020-06-04 09:57:09	ga_s2am_ard_3-2-1_55HCV_2020-06-04_final
2020-06-04 09:57:18	ga_s2am_ard_3-2-1_54HXE_2020-06-04_final
2020-06-04 09:57:53	ga_s2am_ard_3-2-1_55HCS_2020-06-04_final
2020-06-04 09:57:57	ga_s2am_ard_3-2-1_55HBS_2020-06-04_final
2020-06-04 09:58:07	ga_s2am_ard_3-2-1_55GCR_2020-06-04_final
2020-06-04 09:58:11	ga_s2am_ard_3-2-1_55GBR_2020-06-04_final
2020-06-04 11:31:40	ga_s2am_ard_3-2-1_51LZD_2020-06-04_final
2020-06-04 11:31:42	ga_s2am_ard_3-2-1_51LYD_2020-06-04_final
2020-06-04 11:31:44	ga_s2am_ard_3-2-1_51LXD_2020-06-04_final.stac-item
2020-06-04 11:31:45	ga_s2am_ard_3-2-1_51LZD_2020-06-04_final
2020-06-04 11:31:47	ga_s2am_ard_3-2-1_51LYD_2020-06-04_final
2020-06-04 11:31:55	ga_s2am_ard_3-2-1_51LZC_2020-06-04_final
2020-06-04 11:31:59	ga_s2am_ard_3-2-1_51LYC_2020-06-04_final
2020-06-04 11:32:03	ga_s2am_ard_3-2-1_51LXC_2020-06-04_final
2020-06-04 11:32:05	ga_s2am_ard_3-2-1_51KZB_2020-06-04_final
2020-06-04 11:32:14	ga_s2am_ard_3-2-1_51KYB_2020-06-04_final
2020-06-04 11:32:21	ga_s2am_ard_3-2-1_51KWB_2020-06-04_final
2020-06-04 11:32:25	ga_s2am_ard_3-2-1_51KVB_2020-06-04_final
2020-06-04 11:32:43	ga_s2am_ard_3-2-1_51KYV_2020-06-04_final
2020-06-04 11:32:50	ga_s2am_ard_3-2-1_51KWV_2020-06-04_final
2020-06-04 11:32:53	ga_s2am_ard_3-2-1_51KVV_2020-06-04_final
2020-06-04 11:32:57	ga_s2am_ard_3-2-1_51KYU_2020-06-04_final
2020-06-04 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-06-04_final
2020-06-04 11:33:33	ga_s2am_ard_3-2-1_51KWS_2020-06-04_final
2020-06-04 11:33:37	ga_s2am_ard_3-2-1_51KVS_2020-06-04_final
2020-06-04 11:33:44	ga_s2am_ard_3-2-1_51KXR_2020-06-04_final
2020-06-04 11:33:48	ga_s2am_ard_3-2-1_51KWR_2020-06-04_final
2020-06-04 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-06-04_final
2020-06-04 11:33:54	ga_s2am_ard_3-2-1_51KUR_2020-06-04_final
2020-06-04 11:34:09	ga_s2am_ard_3-2-1_51KUQ_2020-06-04_final
2020-06-04 11:34:24	ga_s2am_ard_3-2-1_51KUP_2020-06-04_final
2020-06-04 11:34:31	ga_s2am_ard_3-2-1_51JWN_2020-06-04_final
2020-06-04 11:34:35	ga_s2am_ard_3-2-1_51JVN_2020-06-04_final
2020-06-04 11:34:42	ga_s2am_ard_3-2-1_51JTN_2020-06-04_final
2020-06-04 11:34:46	ga_s2am_ard_3-2-1_51JWM_2020-06-04_final
2020-06-04 11:34:49	ga_s2am_ard_3-2-1_51JVM_2020-06-04_final
2020-06-04 11:34:53	ga_s2am_ard_3-2-1_51JUM_2020-06-04_final
2020-06-04 11:34:55	ga_s2am_ard_3-2-1_50JRS_2020-06-04_final
2020-06-04 11:35:01	ga_s2am_ard_3-2-1_51JWL_2020-06-04_final
2020-06-04 11:35:04	ga_s2am_ard_3-2-1_51JVL_2020-06-04_final
2020-06-04 11:35:22	ga_s2am_ard_3-2-1_51JUK_2020-06-04_final
2020-06-04 11:35:25	ga_s2am_ard_3-2-1_51JWJ_2020-06-04_final
2020-06-04 11:35:33	ga_s2am_ard_3-2-1_51JVJ_2020-06-04_final
2020-06-04 11:36:06	ga_s2am_ard_3-2-1_51JUG_2020-06-04_final
2020-06-04 11:36:09	ga_s2am_ard_3-2-1_51JTG_2020-06-04_final
2020-06-04 11:36:11	ga_s2am_ard_3-2-1_50JQM_2020-06-04_final
2020-06-04 11:36:16	ga_s2am_ard_3-2-1_51JVF_2020-06-04_final
2020-06-04 11:36:20	ga_s2am_ard_3-2-1_51JUF_2020-06-04_final
2020-06-04 11:36:35	ga_s2am_ard_3-2-1_51HUE_2020-06-04_final
2020-06-04 11:36:40	ga_s2am_ard_3-2-1_50HQK_2020-06-04_final
2020-06-04 11:36:44	ga_s2am_ard_3-2-1_50HPK_2020-06-04_final
2020-06-04 11:37:07	ga_s2am_ard_3-2-1_51HTC_2020-06-04_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