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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
2019-08-28 12:04:50	ga_s2am_ard_3-2-1_50JMS_2019-08-28_final
2019-08-28 12:05:00	ga_s2am_ard_3-2-1_50JMR_2019-08-28_final
2019-08-28 12:06:05	ga_s2am_ard_3-2-1_50JLM_2019-08-28_final
2019-08-28 12:06:15	ga_s2am_ard_3-2-1_50JLL_2019-08-28_final
2019-08-29 09:51:13	ga_s2am_ard_3-2-1_55LHC_2019-08-29_final.stac-item
2019-08-29 09:51:17	ga_s2am_ard_3-2-1_55LGC_2019-08-29_final
2019-08-29 09:51:40	ga_s2am_ard_3-2-1_55KFA_2019-08-29_final
2019-08-29 09:51:49	ga_s2am_ard_3-2-1_55KFA_2019-08-29_final
2019-08-29 09:52:18	ga_s2am_ard_3-2-1_55KFU_2019-08-29_final
2019-08-29 09:52:21	ga_s2am_ard_3-2-1_55KEU_2019-08-29_final
2019-08-29 09:52:29	ga_s2am_ard_3-2-1_55KGT_2019-08-29_final
2019-08-29 09:52:32	ga_s2am_ard_3-2-1_55KFT_2019-08-29_final
2019-08-29 09:52:36	ga_s2am_ard_3-2-1_55KET_2019-08-29_final
2019-08-29 09:52:36	ga_s2am_ard_3-2-1_55KHS_2019-08-29_final
2019-08-29 09:52:43	ga_s2am_ard_3-2-1_55KGS_2019-08-29_final
2019-08-29 09:52:47	ga_s2am_ard_3-2-1_55KFS_2019-08-29_final
2019-08-29 09:52:50	ga_s2am_ard_3-2-1_55KES_2019-08-29_final
2019-08-29 09:52:56	ga_s2am_ard_3-2-1_55KDS_2019-08-29_final
2019-08-29 09:53:05	ga_s2am_ard_3-2-1_55KER_2019-08-29_final
2019-08-29 09:53:08	ga_s2am_ard_3-2-1_55KDR_2019-08-29_final
2019-08-29 09:53:12	ga_s2am_ard_3-2-1_55KGQ_2019-08-29_final
2019-08-29 09:53:16	ga_s2am_ard_3-2-1_55KFQ_2019-08-29_final
2019-08-29 09:53:26	ga_s2am_ard_3-2-1_55KGP_2019-08-29_final
2019-08-29 09:54:03	ga_s2am_ard_3-2-1_55JEM_2019-08-29_final
2019-08-29 09:54:06	ga_s2am_ard_3-2-1_55JDM_2019-08-29_final
2019-08-29 09:54:17	ga_s2am_ard_3-2-1_55JEL_2019-08-29_final
2019-08-29 09:54:21	ga_s2am_ard_3-2-1_55JDL_2019-08-29_final
2019-08-29 09:54:39	ga_s2am_ard_3-2-1_55JCK_2019-08-29_final
2019-08-29 09:54:46	ga_s2am_ard_3-2-1_55JEJ_2019-08-29_final
2019-08-29 09:54:50	ga_s2am_ard_3-2-1_55JDJ_2019-08-29_final
2019-08-29 09:55:15	ga_s2am_ard_3-2-1_55JEG_2019-08-29_final
2019-08-29 09:55:19	ga_s2am_ard_3-2-1_55JDG_2019-08-29_final
2019-08-29 09:55:22	ga_s2am_ard_3-2-1_55JCG_2019-08-29_final
2019-08-29 09:55:30	ga_s2am_ard_3-2-1_55JEF_2019-08-29_final
2019-08-29 09:55:34	ga_s2am_ard_3-2-1_55JDF_2019-08-29_final
2019-08-29 09:55:44	ga_s2am_ard_3-2-1_55HEE_2019-08-29_final
2019-08-29 09:55:48	ga_s2am_ard_3-2-1_55HDE_2019-08-29_final
2019-08-29 09:56:06	ga_s2am_ard_3-2-1_55HCD_2019-08-29_final
2019-08-29 09:56:09	ga_s2am_ard_3-2-1_55HBD_2019-08-29_final
2019-08-29 09:56:11	ga_s2am_ard_3-2-1_54HYJ_2019-08-29_final
2019-08-29 09:56:24	ga_s2am_ard_3-2-1_55HBC_2019-08-29_final
2019-08-29 09:56:26	ga_s2am_ard_3-2-1_54HYH_2019-08-29_final
2019-08-29 09:56:32	ga_s2am_ard_3-2-1_55HDB_2019-08-29_final
2019-08-29 09:56:38	ga_s2am_ard_3-2-1_55HBB_2019-08-29_final
2019-08-29 09:56:46	ga_s2am_ard_3-2-1_55HDA_2019-08-29_final
2019-08-29 09:57:19	ga_s2am_ard_3-2-1_55HCU_2019-08-29_final
2019-08-29 09:57:22	ga_s2am_ard_3-2-1_55HBU_2019-08-29_final
2019-08-29 09:57:23	ga_s2am_ard_3-2-1_54HYD_2019-08-29_final
2019-08-29 09:57:27	ga_s2am_ard_3-2-1_54HXD_2019-08-29_final
2019-08-29 11:31:19	ga_s2am_ard_3-2-1_52LBK_2019-08-29_final
2019-08-29 11:31:22	ga_s2am_ard_3-2-1_51LZE_2019-08-29_final
2019-08-29 11:31:25	ga_s2am_ard_3-2-1_51LYE_2019-08-29_final
2019-08-29 11:31:30	ga_s2am_ard_3-2-1_52LBJ_2019-08-29_final
2019-08-29 11:31:32	ga_s2am_ard_3-2-1_51LWE_2019-08-29_final
2019-08-29 11:31:36	ga_s2am_ard_3-2-1_51LZD_2019-08-29_final
2019-08-29 11:31:40	ga_s2am_ard_3-2-1_51LYD_2019-08-29_final
2019-08-29 11:31:43	ga_s2am_ard_3-2-1_51LXD_2019-08-29_final
2019-08-29 11:31:49	ga_s2am_ard_3-2-1_51LZC_2019-08-29_final
2019-08-29 11:31:54	ga_s2am_ard_3-2-1_51LYC_2019-08-29_final
2019-08-29 11:32:01	ga_s2am_ard_3-2-1_51LWC_2019-08-29_final
2019-08-29 11:32:26	ga_s2am_ard_3-2-1_51KXA_2019-08-29_final
2019-08-29 11:32:27	ga_s2am_ard_3-2-1_51KWA_2019-08-29_final
2019-08-29 11:32:29	ga_s2am_ard_3-2-1_51KVA_2019-08-29_final
2019-08-29 11:32:31	ga_s2am_ard_3-2-1_51KYV_2019-08-29_final
2019-08-29 11:32:32	ga_s2am_ard_3-2-1_51KXV_2019-08-29_final
2019-08-29 11:32:32	ga_s2am_ard_3-2-1_51KXA_2019-08-29_final
2019-08-29 11:32:34	ga_s2am_ard_3-2-1_51KWA_2019-08-29_final
2019-08-29 11:32:36	ga_s2am_ard_3-2-1_51KVA_2019-08-29_final
2019-08-29 11:32:38	ga_s2am_ard_3-2-1_51KYV_2019-08-29_final
2019-08-29 11:32:59	ga_s2am_ard_3-2-1_51KWU_2019-08-29_final
2019-08-29 11:33:02	ga_s2am_ard_3-2-1_51KVU_2019-08-29_final
2019-08-29 11:33:03	ga_s2am_ard_3-2-1_51KYT_2019-08-29_final
2019-08-29 11:33:10	ga_s2am_ard_3-2-1_51KXT_2019-08-29_final
2019-08-29 11:33:14	ga_s2am_ard_3-2-1_51KWT_2019-08-29_final
2019-08-29 11:33:17	ga_s2am_ard_3-2-1_51KVT_2019-08-29_final
2019-08-29 11:33:23	ga_s2am_ard_3-2-1_51KUT_2019-08-29_final
2019-08-29 11:33:24	ga_s2am_ard_3-2-1_51KXS_2019-08-29_final
2019-08-29 11:33:28	ga_s2am_ard_3-2-1_51KWS_2019-08-29_final
2019-08-29 11:33:31	ga_s2am_ard_3-2-1_51KVS_2019-08-29_final
2019-08-29 11:33:35	ga_s2am_ard_3-2-1_51KUS_2019-08-29_final
2019-08-29 11:33:43	ga_s2am_ard_3-2-1_51KWR_2019-08-29_final
2019-08-29 11:33:46	ga_s2am_ard_3-2-1_51KVR_2019-08-29_final
2019-08-29 11:33:53	ga_s2am_ard_3-2-1_51KXQ_2019-08-29_final
2019-08-29 11:34:04	ga_s2am_ard_3-2-1_51KUQ_2019-08-29_final
2019-08-29 11:34:06	ga_s2am_ard_3-2-1_51KXP_2019-08-29_final
2019-08-29 11:34:41	ga_s2am_ard_3-2-1_51JWM_2019-08-29_final
2019-08-29 11:34:44	ga_s2am_ard_3-2-1_51JVM_2019-08-29_final
2019-08-29 11:34:55	ga_s2am_ard_3-2-1_51JWL_2019-08-29_final
2019-08-29 11:34:59	ga_s2am_ard_3-2-1_51JVL_2019-08-29_final
2019-08-29 11:35:20	ga_s2am_ard_3-2-1_51JWJ_2019-08-29_final
2019-08-29 11:35:28	ga_s2am_ard_3-2-1_51JVJ_2019-08-29_final
2019-08-29 11:35:57	ga_s2am_ard_3-2-1_51JVG_2019-08-29_final
2019-08-29 11:36:00	ga_s2am_ard_3-2-1_51JUG_2019-08-29_final
2019-08-29 11:36:11	ga_s2am_ard_3-2-1_51JVF_2019-08-29_final
2019-08-29 11:36:44	ga_s2am_ard_3-2-1_51HUD_2019-08-29_final
2019-08-29 11:36:47	ga_s2am_ard_3-2-1_51HTD_2019-08-29_final
2019-08-29 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2019-08-29_final
2019-08-29 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2019-08-29_final
2019-08-29 11:37:02	ga_s2am_ard_3-2-1_51HTC_2019-08-29_final
2019-08-29 11:37:16	ga_s2am_ard_3-2-1_51HTB_2019-08-29_final.stac-item

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