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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
2020-01-16 11:32:41	ga_s2am_ard_3-2-1_51KVV_2020-01-16_final
2020-01-16 11:32:45	ga_s2am_ard_3-2-1_51KYU_2020-01-16_final
2020-01-16 11:32:49	ga_s2am_ard_3-2-1_51KXU_2020-01-16_final
2020-01-16 11:33:07	ga_s2am_ard_3-2-1_51KWT_2020-01-16_final
2020-01-16 11:33:10	ga_s2am_ard_3-2-1_51KVT_2020-01-16_final
2020-01-16 11:33:17	ga_s2am_ard_3-2-1_51KXS_2020-01-16_final
2020-01-16 11:33:28	ga_s2am_ard_3-2-1_51KUS_2020-01-16_final
2020-01-16 11:34:10	ga_s2am_ard_3-2-1_51JXN_2020-01-16_final
2020-01-16 11:34:26	ga_s2am_ard_3-2-1_51JUN_2020-01-16_final
2020-01-16 11:34:30	ga_s2am_ard_3-2-1_51JTN_2020-01-16_final
2020-01-16 11:34:43	ga_s2am_ard_3-2-1_50JRS_2020-01-16_final
2020-01-16 11:34:55	ga_s2am_ard_3-2-1_51JUL_2020-01-16_final
2020-01-16 11:34:58	ga_s2am_ard_3-2-1_51JTL_2020-01-16_final
2020-01-16 11:35:02	ga_s2am_ard_3-2-1_51JWK_2020-01-16_final
2020-01-16 11:35:06	ga_s2am_ard_3-2-1_51JVK_2020-01-16_final
2020-01-16 11:35:10	ga_s2am_ard_3-2-1_51JUK_2020-01-16_final
2020-01-16 11:35:13	ga_s2am_ard_3-2-1_51JWJ_2020-01-16_final
2020-01-16 11:35:21	ga_s2am_ard_3-2-1_51JVJ_2020-01-16_final
2020-01-16 11:35:24	ga_s2am_ard_3-2-1_51JUJ_2020-01-16_final
2020-01-16 11:35:27	ga_s2am_ard_3-2-1_51JTJ_2020-01-16_final
2020-01-16 11:35:31	ga_s2am_ard_3-2-1_50JQP_2020-01-16_final
2020-01-16 11:35:35	ga_s2am_ard_3-2-1_51JVH_2020-01-16_final
2020-01-16 11:35:42	ga_s2am_ard_3-2-1_51JTH_2020-01-16_final
2020-01-16 11:35:44	ga_s2am_ard_3-2-1_50JQN_2020-01-16_final
2020-01-16 11:35:50	ga_s2am_ard_3-2-1_51JVG_2020-01-16_final
2020-01-16 11:35:56	ga_s2am_ard_3-2-1_51JTG_2020-01-16_final
2020-01-16 11:35:59	ga_s2am_ard_3-2-1_50JQM_2020-01-16_final
2020-01-16 11:36:08	ga_s2am_ard_3-2-1_51JUF_2020-01-16_final
2020-01-16 11:36:11	ga_s2am_ard_3-2-1_51JTF_2020-01-16_final
2020-01-16 11:36:21	ga_s2am_ard_3-2-1_50JPL_2020-01-16_final
2020-01-16 11:36:21	ga_s2am_ard_3-2-1_51HTE_2020-01-16_final
2020-01-16 11:36:22	ga_s2am_ard_3-2-1_50HQK_2020-01-16_final
2020-01-16 11:36:23	ga_s2am_ard_3-2-1_50JPL_2020-01-16_final
2020-01-16 11:36:28	ga_s2am_ard_3-2-1_51HTE_2020-01-16_final
2020-01-16 11:36:29	ga_s2am_ard_3-2-1_50HQK_2020-01-16_final
2020-01-16 11:36:37	ga_s2am_ard_3-2-1_51HUD_2020-01-16_final
2020-01-16 11:36:40	ga_s2am_ard_3-2-1_51HTD_2020-01-16_final
2020-01-16 11:36:42	ga_s2am_ard_3-2-1_50HQJ_2020-01-16_final
2020-01-16 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2020-01-16_final
2020-01-16 11:36:51	ga_s2am_ard_3-2-1_51HUC_2020-01-16_final
2020-01-16 11:36:55	ga_s2am_ard_3-2-1_51HTC_2020-01-16_final
2020-01-16 11:36:57	ga_s2am_ard_3-2-1_50HQH_2020-01-16_final
2020-01-16 11:37:01	ga_s2am_ard_3-2-1_50HPH_2020-01-16_final
2020-01-16 11:37:21	ga_s2am_ard_3-2-1_50HNG_2020-01-16_final.stac-item
2020-01-17 09:24:17	ga_s2am_ard_3-2-1_56JNQ_2020-01-16_final.stac-item
2020-01-17 09:24:22	ga_s2am_ard_3-2-1_56JMQ_2020-01-16_final
2020-01-17 09:24:32	ga_s2am_ard_3-2-1_56JNP_2020-01-16_final.stac-item
2020-01-17 09:24:35	ga_s2am_ard_3-2-1_56JMP_2020-01-16_final
2020-01-17 09:24:47	ga_s2am_ard_3-2-1_56JNN_2020-01-16_final
2020-01-17 09:24:50	ga_s2am_ard_3-2-1_56JMN_2020-01-16_final
2020-01-17 09:25:01	ga_s2am_ard_3-2-1_56JNM_2020-01-16_final
2020-01-17 09:25:24	ga_s2am_ard_3-2-1_56JLL_2020-01-16_final
2020-01-17 09:25:48	ga_s2am_ard_3-2-1_56HMJ_2020-01-16_final
2020-01-17 09:25:51	ga_s2am_ard_3-2-1_56HLJ_2020-01-16_final
2020-01-17 09:26:06	ga_s2am_ard_3-2-1_56HLH_2020-01-16_final.stac-item
2020-01-17 09:27:55	ga_s2am_ard_3-2-1_55GFR_2020-01-16_final
2020-01-17 09:28:10	ga_s2am_ard_3-2-1_55GFQ_2020-01-16_final
2020-01-17 09:28:24	ga_s2am_ard_3-2-1_55GFP_2020-01-16_final
2020-01-17 09:28:32	ga_s2am_ard_3-2-1_55GEP_2020-01-16_final
2020-01-17 09:28:39	ga_s2am_ard_3-2-1_55GFN_2020-01-16_final
2020-01-17 11:00:24	ga_s2am_ard_3-2-1_52LHN_2020-01-17_final
2020-01-17 11:00:30	ga_s2am_ard_3-2-1_53LMG_2020-01-17_final
2020-01-17 11:00:31	ga_s2am_ard_3-2-1_52LGN_2020-01-17_final
2020-01-17 11:01:06	ga_s2am_ard_3-2-1_53LKE_2020-01-17_final
2020-01-17 11:01:08	ga_s2am_ard_3-2-1_52LHK_2020-01-17_final
2020-01-17 11:01:11	ga_s2am_ard_3-2-1_52LGK_2020-01-17_final
2020-01-17 11:01:32	ga_s2am_ard_3-2-1_53LLC_2020-01-17_final
2020-01-17 11:01:44	ga_s2am_ard_3-2-1_52LFH_2020-01-17_final
2020-01-17 11:01:46	ga_s2am_ard_3-2-1_53KLB_2020-01-17_final
2020-01-17 11:01:57	ga_s2am_ard_3-2-1_53KLA_2020-01-17_final
2020-01-17 11:01:58	ga_s2am_ard_3-2-1_52KFG_2020-01-17_final
2020-01-17 11:02:34	ga_s2am_ard_3-2-1_53KKU_2020-01-17_final
2020-01-17 11:02:34	ga_s2am_ard_3-2-1_52KHD_2020-01-17_final
2020-01-17 11:02:38	ga_s2am_ard_3-2-1_52KGD_2020-01-17_final
2020-01-17 11:02:41	ga_s2am_ard_3-2-1_52KFD_2020-01-17_final
2020-01-17 11:02:49	ga_s2am_ard_3-2-1_52KHC_2020-01-17_final
2020-01-17 11:02:56	ga_s2am_ard_3-2-1_52KFC_2020-01-17_final
2020-01-17 11:02:59	ga_s2am_ard_3-2-1_52KEC_2020-01-17_final
2020-01-17 11:03:03	ga_s2am_ard_3-2-1_52KHB_2020-01-17_final
2020-01-17 11:03:10	ga_s2am_ard_3-2-1_52KFB_2020-01-17_final
2020-01-17 11:03:17	ga_s2am_ard_3-2-1_52KHA_2020-01-17_final
2020-01-17 11:04:08	ga_s2am_ard_3-2-1_52JFT_2020-01-17_final
2020-01-17 11:04:30	ga_s2am_ard_3-2-1_52JGR_2020-01-17_final
2020-01-17 11:04:37	ga_s2am_ard_3-2-1_52JFR_2020-01-17_final
2020-01-17 11:04:41	ga_s2am_ard_3-2-1_52JER_2020-01-17_final
2020-01-17 11:04:50	ga_s2am_ard_3-2-1_52JCR_2020-01-17_final
2020-01-17 11:04:55	ga_s2am_ard_3-2-1_52JEQ_2020-01-17_final
2020-01-17 11:04:59	ga_s2am_ard_3-2-1_52JDQ_2020-01-17_final
2020-01-17 11:05:02	ga_s2am_ard_3-2-1_52JCQ_2020-01-17_final
2020-01-17 11:05:06	ga_s2am_ard_3-2-1_52JFP_2020-01-17_final
2020-01-17 11:05:10	ga_s2am_ard_3-2-1_52JEP_2020-01-17_final
2020-01-17 11:05:13	ga_s2am_ard_3-2-1_52JDP_2020-01-17_final
2020-01-17 11:05:16	ga_s2am_ard_3-2-1_52JCP_2020-01-17_final
2020-01-17 11:05:24	ga_s2am_ard_3-2-1_52JEN_2020-01-17_final
2020-01-17 11:05:28	ga_s2am_ard_3-2-1_52JDN_2020-01-17_final
2020-01-17 11:05:39	ga_s2am_ard_3-2-1_52JEM_2020-01-17_final
2020-01-17 11:05:52	ga_s2am_ard_3-2-1_52JBM_2020-01-17_final
2020-01-17 11:06:00	ga_s2am_ard_3-2-1_52JCL_2020-01-17_final
2020-01-17 11:06:04	ga_s2am_ard_3-2-1_52JBL_2020-01-17_final
2020-01-17 11:06:18	ga_s2am_ard_3-2-1_52HBK_2020-01-17_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

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