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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
2020-04-08 10:02:52	ga_s2am_ard_3-2-1_55KBS_2020-04-08_final
2020-04-08 10:03:21	ga_s2am_ard_3-2-1_54KZV_2020-04-08_final
2020-04-08 10:03:29	ga_s2am_ard_3-2-1_55KDP_2020-04-08_final
2020-04-08 10:03:36	ga_s2am_ard_3-2-1_54KZU_2020-04-08_final
2020-04-08 10:03:58	ga_s2am_ard_3-2-1_55JDM_2020-04-08_final
2020-04-08 10:04:05	ga_s2am_ard_3-2-1_54JZS_2020-04-08_final
2020-04-08 10:04:11	ga_s2am_ard_3-2-1_55JDL_2020-04-08_final
2020-04-08 10:04:16	ga_s2am_ard_3-2-1_55JCL_2020-04-08_final
2020-04-08 10:04:19	ga_s2am_ard_3-2-1_55JBL_2020-04-08_final
2020-04-08 10:04:21	ga_s2am_ard_3-2-1_55JDK_2020-04-08_final
2020-04-08 10:04:23	ga_s2am_ard_3-2-1_54JYR_2020-04-08_final
2020-04-08 10:04:30	ga_s2am_ard_3-2-1_54JXR_2020-04-08_final
2020-04-08 10:04:30	ga_s2am_ard_3-2-1_55JCK_2020-04-08_final
2020-04-08 10:04:48	ga_s2am_ard_3-2-1_55JBJ_2020-04-08_final
2020-04-08 10:05:03	ga_s2am_ard_3-2-1_55JBH_2020-04-08_final
2020-04-08 10:05:06	ga_s2am_ard_3-2-1_54JYN_2020-04-08_final
2020-04-08 10:05:18	ga_s2am_ard_3-2-1_55JBG_2020-04-08_final
2020-04-08 10:05:20	ga_s2am_ard_3-2-1_54JYM_2020-04-08_final
2020-04-08 10:05:30	ga_s2am_ard_3-2-1_54JWM_2020-04-08_final
2020-04-08 10:05:42	ga_s2am_ard_3-2-1_54JWL_2020-04-08_final
2020-04-08 10:05:53	ga_s2am_ard_3-2-1_54HXK_2020-04-08_final
2020-04-08 10:06:01	ga_s2am_ard_3-2-1_55HBD_2020-04-08_final
2020-04-08 10:06:16	ga_s2am_ard_3-2-1_55HBC_2020-04-08_final
2020-04-08 10:06:18	ga_s2am_ard_3-2-1_54HYH_2020-04-08_final
2020-04-08 10:06:26	ga_s2am_ard_3-2-1_54HWH_2020-04-08_final
2020-04-08 10:06:53	ga_s2am_ard_3-2-1_55HBV_2020-04-08_final
2020-04-08 10:06:55	ga_s2am_ard_3-2-1_54HWF_2020-04-08_final
2020-04-08 10:06:58	ga_s2am_ard_3-2-1_54HVF_2020-04-08_final
2020-04-08 10:07:01	ga_s2am_ard_3-2-1_54HYE_2020-04-08_final
2020-04-08 10:07:05	ga_s2am_ard_3-2-1_54HXE_2020-04-08_final
2020-04-08 10:07:09	ga_s2am_ard_3-2-1_54HWE_2020-04-08_final
2020-04-08 10:07:13	ga_s2am_ard_3-2-1_54HVE_2020-04-08_final
2020-04-08 11:40:48	ga_s2am_ard_3-2-1_51LWG_2020-04-08_final.stac-item
2020-04-08 11:41:23	ga_s2am_ard_3-2-1_51LWE_2020-04-08_final
2020-04-08 11:42:14	ga_s2am_ard_3-2-1_51KUB_2020-04-08_final.stac-item
2020-04-08 11:42:19	ga_s2am_ard_3-2-1_51KWA_2020-04-08_final
2020-04-08 11:42:25	ga_s2am_ard_3-2-1_51KVA_2020-04-08_final
2020-04-08 11:42:29	ga_s2am_ard_3-2-1_51KUA_2020-04-08_final
2020-04-08 11:43:01	ga_s2am_ard_3-2-1_51KTU_2020-04-08_final
2020-04-08 11:43:06	ga_s2am_ard_3-2-1_50KQD_2020-04-08_final.stac-item
2020-04-08 11:43:09	ga_s2am_ard_3-2-1_51KVT_2020-04-08_final
2020-04-08 11:43:15	ga_s2am_ard_3-2-1_51KTT_2020-04-08_final
2020-04-08 11:43:16	ga_s2am_ard_3-2-1_50KRC_2020-04-08_final
2020-04-08 11:43:19	ga_s2am_ard_3-2-1_50KQC_2020-04-08_final
2020-04-08 11:43:30	ga_s2am_ard_3-2-1_51KTS_2020-04-08_final
2020-04-08 11:43:34	ga_s2am_ard_3-2-1_50KQB_2020-04-08_final
2020-04-08 11:43:59	ga_s2am_ard_3-2-1_50KRV_2020-04-08_final
2020-04-08 11:44:14	ga_s2am_ard_3-2-1_50KRU_2020-04-08_final
2020-04-08 11:44:28	ga_s2am_ard_3-2-1_50JRT_2020-04-08_final
2020-04-08 11:44:42	ga_s2am_ard_3-2-1_50JRS_2020-04-08_final
2020-04-08 11:44:49	ga_s2am_ard_3-2-1_51JUL_2020-04-08_final
2020-04-08 11:44:57	ga_s2am_ard_3-2-1_51JTL_2020-04-08_final
2020-04-08 11:45:01	ga_s2am_ard_3-2-1_50JQR_2020-04-08_final
2020-04-08 11:45:04	ga_s2am_ard_3-2-1_50JPR_2020-04-08_final
2020-04-08 11:45:09	ga_s2am_ard_3-2-1_50JNR_2020-04-08_final
2020-04-08 11:45:22	ga_s2am_ard_3-2-1_50JNQ_2020-04-08_final
2020-04-08 11:45:27	ga_s2am_ard_3-2-1_51JTJ_2020-04-08_final
2020-04-08 11:45:41	ga_s2am_ard_3-2-1_51JTH_2020-04-08_final
2020-04-08 11:45:44	ga_s2am_ard_3-2-1_50JQN_2020-04-08_final
2020-04-08 11:45:51	ga_s2am_ard_3-2-1_50JNN_2020-04-08_final
2020-04-08 11:45:54	ga_s2am_ard_3-2-1_51JTG_2020-04-08_final
2020-04-08 11:45:58	ga_s2am_ard_3-2-1_50JQM_2020-04-08_final
2020-04-08 11:46:31	ga_s2am_ard_3-2-1_50HPK_2020-04-08_final
2020-04-08 11:46:51	ga_s2am_ard_3-2-1_50HQH_2020-04-08_final
2020-04-08 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2020-04-08_final
2020-04-09 09:33:22	ga_s2am_ard_3-2-1_56KMU_2020-04-09_final
2020-04-09 09:33:48	ga_s2am_ard_3-2-1_56JNS_2020-04-09_final
2020-04-09 09:33:51	ga_s2am_ard_3-2-1_56JMS_2020-04-09_final
2020-04-09 09:33:58	ga_s2am_ard_3-2-1_55JHM_2020-04-09_final
2020-04-09 09:34:02	ga_s2am_ard_3-2-1_56JNR_2020-04-09_final.stac-item
2020-04-09 09:34:06	ga_s2am_ard_3-2-1_56JMR_2020-04-09_final
2020-04-09 09:34:09	ga_s2am_ard_3-2-1_56JLR_2020-04-09_final
2020-04-09 09:34:12	ga_s2am_ard_3-2-1_56JKR_2020-04-09_final
2020-04-09 09:34:17	ga_s2am_ard_3-2-1_56JNQ_2020-04-09_final.stac-item
2020-04-09 09:34:20	ga_s2am_ard_3-2-1_56JMQ_2020-04-09_final
2020-04-09 09:34:24	ga_s2am_ard_3-2-1_56JLQ_2020-04-09_final
2020-04-09 09:34:41	ga_s2am_ard_3-2-1_56JNN_2020-04-09_final
2020-04-09 09:34:41	ga_s2am_ard_3-2-1_56JKP_2020-04-09_final
2020-04-09 09:34:48	ga_s2am_ard_3-2-1_55JGJ_2020-04-09_final
2020-04-09 09:34:49	ga_s2am_ard_3-2-1_56JMN_2020-04-09_final
2020-04-09 09:34:56	ga_s2am_ard_3-2-1_56JKN_2020-04-09_final
2020-04-09 09:34:59	ga_s2am_ard_3-2-1_55JGH_2020-04-09_final
2020-04-09 09:35:04	ga_s2am_ard_3-2-1_56JMM_2020-04-09_final
2020-04-09 09:35:11	ga_s2am_ard_3-2-1_56JKM_2020-04-09_final
2020-04-09 09:35:13	ga_s2am_ard_3-2-1_55JGG_2020-04-09_final
2020-04-09 09:35:19	ga_s2am_ard_3-2-1_56JML_2020-04-09_final
2020-04-09 09:35:48	ga_s2am_ard_3-2-1_55HFE_2020-04-09_final
2020-04-09 09:36:09	ga_s2am_ard_3-2-1_56HKH_2020-04-09_final
2020-04-09 09:36:11	ga_s2am_ard_3-2-1_55HGC_2020-04-09_final
2020-04-09 09:36:48	ga_s2am_ard_3-2-1_55HEA_2020-04-09_final
2020-04-09 09:36:54	ga_s2am_ard_3-2-1_55HGV_2020-04-09_final
2020-04-09 09:36:58	ga_s2am_ard_3-2-1_55HFV_2020-04-09_final
2020-04-09 09:37:01	ga_s2am_ard_3-2-1_55HEV_2020-04-09_final
2020-04-09 09:37:08	ga_s2am_ard_3-2-1_55HGU_2020-04-09_final.stac-item
2020-04-09 09:37:41	ga_s2am_ard_3-2-1_55HFS_2020-04-09_final.stac-item
2020-04-09 09:37:45	ga_s2am_ard_3-2-1_55HES_2020-04-09_final
2020-04-09 09:37:49	ga_s2am_ard_3-2-1_55HDS_2020-04-09_final
2020-04-09 09:38:24	ga_s2am_ard_3-2-1_55GFP_2020-04-09_final
2020-04-09 09:38:28	ga_s2am_ard_3-2-1_55GEP_2020-04-09_final
2020-04-09 09:38:32	ga_s2am_ard_3-2-1_55GDP_2020-04-09_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