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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
2020-09-02 09:56:50	ga_s2am_ard_3-2-1_55HDA_2020-09-02_final
2020-09-02 09:56:53	ga_s2am_ard_3-2-1_55HCA_2020-09-02_final
2020-09-02 09:56:57	ga_s2am_ard_3-2-1_55HBA_2020-09-02_final
2020-09-02 09:56:58	ga_s2am_ard_3-2-1_54HYF_2020-09-02_final
2020-09-02 09:57:02	ga_s2am_ard_3-2-1_54HXF_2020-09-02_final
2020-09-02 09:57:03	ga_s2am_ard_3-2-1_55HDV_2020-09-02_final
2020-09-02 09:57:08	ga_s2am_ard_3-2-1_55HCV_2020-09-02_final
2020-09-02 09:57:11	ga_s2am_ard_3-2-1_55HBV_2020-09-02_final
2020-09-02 09:57:12	ga_s2am_ard_3-2-1_54HYE_2020-09-02_final
2020-09-02 09:57:13	ga_s2am_ard_3-2-1_55HDU_2020-09-02_final
2020-09-02 09:57:16	ga_s2am_ard_3-2-1_54HXE_2020-09-02_final
2020-09-02 09:57:22	ga_s2am_ard_3-2-1_55HCU_2020-09-02_final
2020-09-02 09:57:31	ga_s2am_ard_3-2-1_54HXD_2020-09-02_final
2020-09-02 09:57:52	ga_s2am_ard_3-2-1_55HCS_2020-09-02_final
2020-09-02 09:57:55	ga_s2am_ard_3-2-1_55HBS_2020-09-02_final
2020-09-02 09:57:56	ga_s2am_ard_3-2-1_54HYB_2020-09-02_final
2020-09-02 09:58:06	ga_s2am_ard_3-2-1_55GCR_2020-09-02_final
2020-09-02 09:58:10	ga_s2am_ard_3-2-1_55GBR_2020-09-02_final
2020-09-02 09:58:10	ga_s2am_ard_3-2-1_54GYA_2020-09-02_final
2020-09-02 09:58:28	ga_s2am_ard_3-2-1_55GCP_2020-09-02_final
2020-09-02 11:33:13	ga_s2am_ard_3-2-1_51KYT_2020-09-02_final
2020-09-02 11:33:19	ga_s2am_ard_3-2-1_51KWT_2020-09-02_final
2020-09-02 11:33:21	ga_s2am_ard_3-2-1_51KVT_2020-09-02_final
2020-09-02 11:33:28	ga_s2am_ard_3-2-1_51KXS_2020-09-02_final
2020-09-02 11:33:32	ga_s2am_ard_3-2-1_51KWS_2020-09-02_final
2020-09-02 11:33:35	ga_s2am_ard_3-2-1_51KVS_2020-09-02_final
2020-09-02 11:33:39	ga_s2am_ard_3-2-1_51KUS_2020-09-02_final
2020-09-02 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-09-02_final
2020-09-02 11:33:46	ga_s2am_ard_3-2-1_51KWR_2020-09-02_final
2020-09-02 11:33:50	ga_s2am_ard_3-2-1_51KVR_2020-09-02_final
2020-09-02 11:33:53	ga_s2am_ard_3-2-1_51KUR_2020-09-02_final
2020-09-02 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2020-09-02_final
2020-09-02 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2020-09-02_final
2020-09-02 11:34:04	ga_s2am_ard_3-2-1_51KVQ_2020-09-02_final
2020-09-02 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2020-09-02_final
2020-09-02 11:34:10	ga_s2am_ard_3-2-1_51KXP_2020-09-02_final
2020-09-02 11:34:22	ga_s2am_ard_3-2-1_51KUP_2020-09-02_final
2020-09-02 11:34:30	ga_s2am_ard_3-2-1_51JWN_2020-09-02_final
2020-09-02 11:34:33	ga_s2am_ard_3-2-1_51JVN_2020-09-02_final
2020-09-02 11:34:37	ga_s2am_ard_3-2-1_51JUN_2020-09-02_final
2020-09-02 11:34:41	ga_s2am_ard_3-2-1_51JTN_2020-09-02_final
2020-09-02 11:34:41	ga_s2am_ard_3-2-1_50JRT_2020-09-02_final
2020-09-02 11:34:44	ga_s2am_ard_3-2-1_51JWM_2020-09-02_final
2020-09-02 11:34:48	ga_s2am_ard_3-2-1_51JVM_2020-09-02_final
2020-09-02 11:34:51	ga_s2am_ard_3-2-1_51JUM_2020-09-02_final
2020-09-02 11:34:54	ga_s2am_ard_3-2-1_50JRS_2020-09-02_final
2020-09-02 11:34:54	ga_s2am_ard_3-2-1_51JTM_2020-09-02_final
2020-09-02 11:34:59	ga_s2am_ard_3-2-1_51JWL_2020-09-02_final
2020-09-02 11:35:02	ga_s2am_ard_3-2-1_51JVL_2020-09-02_final
2020-09-02 11:35:09	ga_s2am_ard_3-2-1_51JTL_2020-09-02_final
2020-09-02 11:35:13	ga_s2am_ard_3-2-1_51JWK_2020-09-02_final
2020-09-02 11:35:17	ga_s2am_ard_3-2-1_51JVK_2020-09-02_final
2020-09-02 11:35:20	ga_s2am_ard_3-2-1_51JUK_2020-09-02_final
2020-09-02 11:35:23	ga_s2am_ard_3-2-1_51JTK_2020-09-02_final
2020-09-02 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2020-09-02_final
2020-09-02 11:35:31	ga_s2am_ard_3-2-1_51JVJ_2020-09-02_final
2020-09-02 11:35:38	ga_s2am_ard_3-2-1_51JTJ_2020-09-02_final
2020-09-02 11:35:46	ga_s2am_ard_3-2-1_51JVH_2020-09-02_final
2020-09-02 11:35:55	ga_s2am_ard_3-2-1_50JQN_2020-09-02_final
2020-09-02 11:36:01	ga_s2am_ard_3-2-1_51JVG_2020-09-02_final
2020-09-02 11:36:04	ga_s2am_ard_3-2-1_51JUG_2020-09-02_final
2020-09-02 11:36:07	ga_s2am_ard_3-2-1_51JTG_2020-09-02_final
2020-09-02 11:36:10	ga_s2am_ard_3-2-1_50JQM_2020-09-02_final
2020-09-02 11:36:15	ga_s2am_ard_3-2-1_51JVF_2020-09-02_final
2020-09-02 11:36:19	ga_s2am_ard_3-2-1_51JUF_2020-09-02_final
2020-09-02 11:36:22	ga_s2am_ard_3-2-1_51JTF_2020-09-02_final
2020-09-02 11:36:24	ga_s2am_ard_3-2-1_50JQL_2020-09-02_final
2020-09-02 11:36:28	ga_s2am_ard_3-2-1_51HVE_2020-09-02_final
2020-09-02 11:36:31	ga_s2am_ard_3-2-1_50JPL_2020-09-02_final
2020-09-02 11:36:36	ga_s2am_ard_3-2-1_51HTE_2020-09-02_final
2020-09-02 11:36:39	ga_s2am_ard_3-2-1_50HQK_2020-09-02_final
2020-09-02 11:36:47	ga_s2am_ard_3-2-1_51HUD_2020-09-02_final
2020-09-02 11:36:51	ga_s2am_ard_3-2-1_51HTD_2020-09-02_final
2020-09-02 11:37:02	ga_s2am_ard_3-2-1_51HUC_2020-09-02_final
2020-09-02 11:37:05	ga_s2am_ard_3-2-1_51HTC_2020-09-02_final
2020-09-02 11:37:07	ga_s2am_ard_3-2-1_50HQH_2020-09-02_final
2020-09-02 11:37:11	ga_s2am_ard_3-2-1_50HPH_2020-09-02_final
2020-09-03 09:23:44	ga_s2am_ard_3-2-1_56JNT_2020-09-02_final
2020-09-03 09:23:59	ga_s2am_ard_3-2-1_56JNS_2020-09-02_final
2020-09-03 09:24:14	ga_s2am_ard_3-2-1_56JNR_2020-09-02_final.stac-item
2020-09-03 09:24:28	ga_s2am_ard_3-2-1_56JNQ_2020-09-02_final.stac-item
2020-09-03 09:24:33	ga_s2am_ard_3-2-1_56JMQ_2020-09-02_final
2020-09-03 09:24:43	ga_s2am_ard_3-2-1_56JNP_2020-09-02_final.stac-item
2020-09-03 09:24:46	ga_s2am_ard_3-2-1_56JMP_2020-09-02_final
2020-09-03 09:24:57	ga_s2am_ard_3-2-1_56JNN_2020-09-02_final
2020-09-03 09:25:00	ga_s2am_ard_3-2-1_56JMN_2020-09-02_final
2020-09-03 09:25:12	ga_s2am_ard_3-2-1_56JNM_2020-09-02_final
2020-09-03 09:25:15	ga_s2am_ard_3-2-1_56JMM_2020-09-02_final
2020-09-03 09:25:26	ga_s2am_ard_3-2-1_56JNL_2020-09-02_final
2020-09-03 09:25:30	ga_s2am_ard_3-2-1_56JML_2020-09-02_final
2020-09-03 09:25:34	ga_s2am_ard_3-2-1_56JLL_2020-09-02_final
2020-09-03 09:25:44	ga_s2am_ard_3-2-1_56HMK_2020-09-02_final
2020-09-03 09:26:02	ga_s2am_ard_3-2-1_56HLJ_2020-09-02_final
2020-09-03 09:26:17	ga_s2am_ard_3-2-1_56HLH_2020-09-02_final.stac-item
2020-09-03 09:26:49	ga_s2am_ard_3-2-1_56HKF_2020-09-02_final
2020-09-03 09:27:05	ga_s2am_ard_3-2-1_55HGV_2020-09-02_final
2020-09-03 09:27:54	ga_s2am_ard_3-2-1_55HFS_2020-09-02_final.stac-item
2020-09-03 09:28:06	ga_s2am_ard_3-2-1_55GFR_2020-09-02_final
2020-09-03 09:28:35	ga_s2am_ard_3-2-1_55GFP_2020-09-02_final
2020-09-03 09:28:42	ga_s2am_ard_3-2-1_55GEP_2020-09-02_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