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
2022-05-24 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-05-24_final
2022-05-24 12:04:50	ga_s2am_ard_3-2-1_50JKT_2022-05-24_final
2022-05-24 12:04:53	ga_s2am_ard_3-2-1_49JGN_2022-05-24_final
2022-05-24 12:04:56	ga_s2am_ard_3-2-1_50JMS_2022-05-24_final
2022-05-24 12:05:06	ga_s2am_ard_3-2-1_50JMR_2022-05-24_final
2022-05-24 12:05:15	ga_s2am_ard_3-2-1_50JLR_2022-05-24_final
2022-05-24 12:05:19	ga_s2am_ard_3-2-1_50JKR_2022-05-24_final
2022-05-24 12:05:22	ga_s2am_ard_3-2-1_49JGL_2022-05-24_final
2022-05-24 12:05:30	ga_s2am_ard_3-2-1_50JLQ_2022-05-24_final
2022-05-24 12:05:36	ga_s2am_ard_3-2-1_49JGK_2022-05-24_final
2022-05-24 12:05:58	ga_s2am_ard_3-2-1_50JLN_2022-05-24_final
2022-05-24 12:06:02	ga_s2am_ard_3-2-1_50JKN_2022-05-24_final
2022-05-24 12:06:05	ga_s2am_ard_3-2-1_49JGH_2022-05-24_final.stac-item
2022-05-24 12:06:17	ga_s2am_ard_3-2-1_50JKM_2022-05-24_final
2022-05-25 09:51:32	ga_s2am_ard_3-2-1_56KKG_2022-05-25_final.stac-item
2022-05-25 09:51:33	ga_s2am_ard_3-2-1_55KHB_2022-05-25_final.stac-item
2022-05-25 09:51:37	ga_s2am_ard_3-2-1_55KGB_2022-05-25_final
2022-05-25 09:51:47	ga_s2am_ard_3-2-1_56KKF_2022-05-25_final
2022-05-25 09:51:55	ga_s2am_ard_3-2-1_55KFA_2022-05-25_final
2022-05-25 09:52:24	ga_s2am_ard_3-2-1_55KFU_2022-05-25_final
2022-05-25 09:52:53	ga_s2am_ard_3-2-1_55KFS_2022-05-25_final
2022-05-25 09:52:56	ga_s2am_ard_3-2-1_55KES_2022-05-25_final
2022-05-25 09:53:02	ga_s2am_ard_3-2-1_55KDS_2022-05-25_final
2022-05-25 09:53:04	ga_s2am_ard_3-2-1_55KGR_2022-05-25_final
2022-05-25 09:53:08	ga_s2am_ard_3-2-1_55KFR_2022-05-25_final
2022-05-25 09:53:11	ga_s2am_ard_3-2-1_55KER_2022-05-25_final
2022-05-25 09:53:14	ga_s2am_ard_3-2-1_55KDR_2022-05-25_final
2022-05-25 09:53:18	ga_s2am_ard_3-2-1_55KGQ_2022-05-25_final
2022-05-25 09:53:22	ga_s2am_ard_3-2-1_55KFQ_2022-05-25_final
2022-05-25 09:53:25	ga_s2am_ard_3-2-1_55KEQ_2022-05-25_final
2022-05-25 09:53:28	ga_s2am_ard_3-2-1_55KDQ_2022-05-25_final
2022-05-25 09:53:32	ga_s2am_ard_3-2-1_55KGP_2022-05-25_final
2022-05-25 09:53:36	ga_s2am_ard_3-2-1_55KFP_2022-05-25_final
2022-05-25 09:53:45	ga_s2am_ard_3-2-1_55JGN_2022-05-25_final
2022-05-25 09:53:55	ga_s2am_ard_3-2-1_55JEN_2022-05-25_final
2022-05-25 09:53:55	ga_s2am_ard_3-2-1_55JGM_2022-05-25_final
2022-05-25 09:53:58	ga_s2am_ard_3-2-1_55JDN_2022-05-25_final
2022-05-25 09:54:09	ga_s2am_ard_3-2-1_55JEM_2022-05-25_final
2022-05-25 09:54:12	ga_s2am_ard_3-2-1_55JDM_2022-05-25_final
2022-05-25 09:54:20	ga_s2am_ard_3-2-1_55JFL_2022-05-25_final
2022-05-25 09:54:24	ga_s2am_ard_3-2-1_55JEL_2022-05-25_final
2022-05-25 09:54:30	ga_s2am_ard_3-2-1_55JCL_2022-05-25_final
2022-05-25 09:54:34	ga_s2am_ard_3-2-1_55JFK_2022-05-25_final
2022-05-25 09:54:38	ga_s2am_ard_3-2-1_55JEK_2022-05-25_final
2022-05-25 09:54:42	ga_s2am_ard_3-2-1_55JDK_2022-05-25_final
2022-05-25 09:54:45	ga_s2am_ard_3-2-1_55JCK_2022-05-25_final
2022-05-25 09:54:52	ga_s2am_ard_3-2-1_55JEJ_2022-05-25_final
2022-05-25 09:55:14	ga_s2am_ard_3-2-1_55JCH_2022-05-25_final
2022-05-25 09:55:18	ga_s2am_ard_3-2-1_55JBH_2022-05-25_final
2022-05-25 09:55:31	ga_s2am_ard_3-2-1_55JBG_2022-05-25_final
2022-05-25 09:55:36	ga_s2am_ard_3-2-1_55JEF_2022-05-25_final
2022-05-25 09:55:40	ga_s2am_ard_3-2-1_55JDF_2022-05-25_final
2022-05-25 09:55:46	ga_s2am_ard_3-2-1_55JBF_2022-05-25_final
2022-05-25 09:56:01	ga_s2am_ard_3-2-1_55HBE_2022-05-25_final
2022-05-25 09:56:27	ga_s2am_ard_3-2-1_55HCC_2022-05-25_final
2022-05-25 09:56:30	ga_s2am_ard_3-2-1_55HBC_2022-05-25_final
2022-05-25 09:56:32	ga_s2am_ard_3-2-1_54HYH_2022-05-25_final
2022-05-25 09:57:52	ga_s2am_ard_3-2-1_54HWC_2022-05-25_final
2022-05-25 11:31:38	ga_s2am_ard_3-2-1_51LWE_2022-05-25_final
2022-05-25 11:31:49	ga_s2am_ard_3-2-1_51LXD_2022-05-25_final
2022-05-25 11:32:06	ga_s2am_ard_3-2-1_51KZB_2022-05-25_final
2022-05-25 11:32:14	ga_s2am_ard_3-2-1_51KYB_2022-05-25_final
2022-05-25 11:32:29	ga_s2am_ard_3-2-1_51KYA_2022-05-25_final
2022-05-25 11:32:33	ga_s2am_ard_3-2-1_51KXA_2022-05-25_final
2022-05-25 11:33:02	ga_s2am_ard_3-2-1_51KXU_2022-05-25_final
2022-05-25 11:33:31	ga_s2am_ard_3-2-1_51KXS_2022-05-25_final
2022-05-25 11:33:34	ga_s2am_ard_3-2-1_51KWS_2022-05-25_final
2022-05-25 11:33:38	ga_s2am_ard_3-2-1_51KVS_2022-05-25_final
2022-05-25 11:33:41	ga_s2am_ard_3-2-1_51KUS_2022-05-25_final
2022-05-25 11:33:45	ga_s2am_ard_3-2-1_51KXR_2022-05-25_final
2022-05-25 11:33:49	ga_s2am_ard_3-2-1_51KWR_2022-05-25_final
2022-05-25 11:33:52	ga_s2am_ard_3-2-1_51KVR_2022-05-25_final
2022-05-25 11:33:55	ga_s2am_ard_3-2-1_51KUR_2022-05-25_final
2022-05-25 11:34:00	ga_s2am_ard_3-2-1_51KXQ_2022-05-25_final
2022-05-25 11:34:03	ga_s2am_ard_3-2-1_51KWQ_2022-05-25_final
2022-05-25 11:34:07	ga_s2am_ard_3-2-1_51KVQ_2022-05-25_final
2022-05-25 11:34:10	ga_s2am_ard_3-2-1_51KUQ_2022-05-25_final
2022-05-25 11:34:12	ga_s2am_ard_3-2-1_51KXP_2022-05-25_final
2022-05-25 11:34:25	ga_s2am_ard_3-2-1_51KUP_2022-05-25_final
2022-05-25 11:34:43	ga_s2am_ard_3-2-1_51JTN_2022-05-25_final
2022-05-25 11:34:44	ga_s2am_ard_3-2-1_50JRT_2022-05-25_final
2022-05-25 11:34:47	ga_s2am_ard_3-2-1_51JWM_2022-05-25_final
2022-05-25 11:34:50	ga_s2am_ard_3-2-1_51JVM_2022-05-25_final
2022-05-25 11:35:01	ga_s2am_ard_3-2-1_51JWL_2022-05-25_final
2022-05-25 11:35:05	ga_s2am_ard_3-2-1_51JVL_2022-05-25_final
2022-05-25 11:35:08	ga_s2am_ard_3-2-1_51JUL_2022-05-25_final
2022-05-25 11:35:11	ga_s2am_ard_3-2-1_51JTL_2022-05-25_final
2022-05-25 11:35:23	ga_s2am_ard_3-2-1_51JUK_2022-05-25_final
2022-05-25 11:35:48	ga_s2am_ard_3-2-1_51JVH_2022-05-25_final
2022-05-25 11:35:52	ga_s2am_ard_3-2-1_51JUH_2022-05-25_final
2022-05-25 11:35:55	ga_s2am_ard_3-2-1_51JTH_2022-05-25_final
2022-05-25 11:35:57	ga_s2am_ard_3-2-1_50JQN_2022-05-25_final
2022-05-25 11:36:03	ga_s2am_ard_3-2-1_51JVG_2022-05-25_final
2022-05-25 11:36:10	ga_s2am_ard_3-2-1_51JTG_2022-05-25_final
2022-05-25 11:36:12	ga_s2am_ard_3-2-1_50JQM_2022-05-25_final
2022-05-25 11:36:17	ga_s2am_ard_3-2-1_51JVF_2022-05-25_final
2022-05-25 11:36:24	ga_s2am_ard_3-2-1_51JTF_2022-05-25_final
2022-05-25 11:36:39	ga_s2am_ard_3-2-1_51HTE_2022-05-25_final
2022-05-25 11:37:08	ga_s2am_ard_3-2-1_51HTC_2022-05-25_final
2022-05-25 11:37:10	ga_s2am_ard_3-2-1_50HQH_2022-05-25_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