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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
2020-09-19 09:41:34	ga_s2am_ard_3-2-1_56KKG_2020-09-19_final.stac-item
2020-09-19 09:41:37	ga_s2am_ard_3-2-1_55KHB_2020-09-19_final.stac-item
2020-09-19 09:41:49	ga_s2am_ard_3-2-1_56KKF_2020-09-19_final
2020-09-19 09:42:38	ga_s2am_ard_3-2-1_55KGT_2020-09-19_final
2020-09-19 09:42:41	ga_s2am_ard_3-2-1_56KMB_2020-09-19_final.stac-item
2020-09-19 09:42:48	ga_s2am_ard_3-2-1_55KHS_2020-09-19_final
2020-09-19 09:42:54	ga_s2am_ard_3-2-1_56KMA_2020-09-19_final
2020-09-19 09:42:59	ga_s2am_ard_3-2-1_56KLA_2020-09-19_final
2020-09-19 09:43:02	ga_s2am_ard_3-2-1_56KKA_2020-09-19_final
2020-09-19 09:43:06	ga_s2am_ard_3-2-1_55KGR_2020-09-19_final
2020-09-19 09:43:13	ga_s2am_ard_3-2-1_56KLV_2020-09-19_final
2020-09-19 09:43:17	ga_s2am_ard_3-2-1_56KKV_2020-09-19_final
2020-09-19 09:43:17	ga_s2am_ard_3-2-1_55KHQ_2020-09-19_final
2020-09-19 09:43:21	ga_s2am_ard_3-2-1_55KGQ_2020-09-19_final
2020-09-19 09:43:28	ga_s2am_ard_3-2-1_56KLU_2020-09-19_final
2020-09-19 09:43:31	ga_s2am_ard_3-2-1_56KKU_2020-09-19_final
2020-09-19 09:43:31	ga_s2am_ard_3-2-1_55KHP_2020-09-19_final
2020-09-19 09:43:35	ga_s2am_ard_3-2-1_55KGP_2020-09-19_final
2020-09-19 09:43:39	ga_s2am_ard_3-2-1_55KFP_2020-09-19_final
2020-09-19 09:43:46	ga_s2am_ard_3-2-1_55JHN_2020-09-19_final
2020-09-19 09:43:46	ga_s2am_ard_3-2-1_56JKT_2020-09-19_final
2020-09-19 09:43:49	ga_s2am_ard_3-2-1_55JGN_2020-09-19_final
2020-09-19 09:43:57	ga_s2am_ard_3-2-1_56JLS_2020-09-19_final
2020-09-19 09:44:00	ga_s2am_ard_3-2-1_55JHM_2020-09-19_final
2020-09-19 09:44:07	ga_s2am_ard_3-2-1_55JFM_2020-09-19_final
2020-09-19 09:44:21	ga_s2am_ard_3-2-1_56JLQ_2020-09-19_final
2020-09-19 09:44:33	ga_s2am_ard_3-2-1_55JGK_2020-09-19_final
2020-09-19 09:44:44	ga_s2am_ard_3-2-1_56JKP_2020-09-19_final
2020-09-19 09:44:51	ga_s2am_ard_3-2-1_55JFJ_2020-09-19_final
2020-09-19 09:45:26	ga_s2am_ard_3-2-1_56JKL_2020-09-19_final
2020-09-19 09:45:30	ga_s2am_ard_3-2-1_55JGF_2020-09-19_final
2020-09-19 09:45:34	ga_s2am_ard_3-2-1_55JFF_2020-09-19_final
2020-09-19 09:46:12	ga_s2am_ard_3-2-1_55HGC_2020-09-19_final
2020-09-19 09:46:47	ga_s2am_ard_3-2-1_55HFA_2020-09-19_final
2020-09-19 09:46:50	ga_s2am_ard_3-2-1_55HEA_2020-09-19_final
2020-09-19 09:46:54	ga_s2am_ard_3-2-1_55HDA_2020-09-19_final
2020-09-19 09:46:57	ga_s2am_ard_3-2-1_55HCA_2020-09-19_final
2020-09-19 09:47:01	ga_s2am_ard_3-2-1_55HFV_2020-09-19_final
2020-09-19 09:47:05	ga_s2am_ard_3-2-1_55HEV_2020-09-19_final
2020-09-19 09:47:12	ga_s2am_ard_3-2-1_55HCV_2020-09-19_final
2020-09-19 09:47:19	ga_s2am_ard_3-2-1_55HEU_2020-09-19_final
2020-09-19 09:47:23	ga_s2am_ard_3-2-1_55HDU_2020-09-19_final
2020-09-19 09:47:48	ga_s2am_ard_3-2-1_55HES_2020-09-19_final
2020-09-19 09:47:52	ga_s2am_ard_3-2-1_55HDS_2020-09-19_final
2020-09-19 09:47:58	ga_s2am_ard_3-2-1_55HBS_2020-09-19_final
2020-09-19 09:48:16	ga_s2am_ard_3-2-1_55GEQ_2020-09-19_final
2020-09-19 09:48:21	ga_s2am_ard_3-2-1_55GDQ_2020-09-19_final
2020-09-19 09:48:28	ga_s2am_ard_3-2-1_55GBQ_2020-09-19_final.stac-item
2020-09-19 11:21:02	ga_s2am_ard_3-2-1_52LEL_2020-09-19_final.stac-item
2020-09-19 11:21:29	ga_s2am_ard_3-2-1_52LBK_2020-09-19_final
2020-09-19 11:21:30	ga_s2am_ard_3-2-1_51LZE_2020-09-19_final
2020-09-19 11:21:37	ga_s2am_ard_3-2-1_52LDJ_2020-09-19_final
2020-09-19 11:21:40	ga_s2am_ard_3-2-1_52LCJ_2020-09-19_final
2020-09-19 11:21:43	ga_s2am_ard_3-2-1_52LBJ_2020-09-19_final
2020-09-19 11:21:45	ga_s2am_ard_3-2-1_51LZD_2020-09-19_final
2020-09-19 11:21:51	ga_s2am_ard_3-2-1_52LDH_2020-09-19_final
2020-09-19 11:21:58	ga_s2am_ard_3-2-1_52LBH_2020-09-19_final
2020-09-19 11:21:59	ga_s2am_ard_3-2-1_51LZC_2020-09-19_final
2020-09-19 11:22:03	ga_s2am_ard_3-2-1_51LYC_2020-09-19_final
2020-09-19 11:22:12	ga_s2am_ard_3-2-1_52KBG_2020-09-19_final
2020-09-19 11:22:13	ga_s2am_ard_3-2-1_51KZB_2020-09-19_final
2020-09-19 11:22:17	ga_s2am_ard_3-2-1_51KYB_2020-09-19_final
2020-09-19 11:22:27	ga_s2am_ard_3-2-1_52KBF_2020-09-19_final
2020-09-19 11:22:28	ga_s2am_ard_3-2-1_51KZA_2020-09-19_final
2020-09-19 11:22:31	ga_s2am_ard_3-2-1_51KYA_2020-09-19_final
2020-09-19 11:22:42	ga_s2am_ard_3-2-1_52KBE_2020-09-19_final
2020-09-19 11:22:42	ga_s2am_ard_3-2-1_51KZV_2020-09-19_final
2020-09-19 11:22:46	ga_s2am_ard_3-2-1_51KYV_2020-09-19_final
2020-09-19 11:22:56	ga_s2am_ard_3-2-1_52KBD_2020-09-19_final
2020-09-19 11:22:57	ga_s2am_ard_3-2-1_51KZU_2020-09-19_final
2020-09-19 11:23:00	ga_s2am_ard_3-2-1_51KYU_2020-09-19_final
2020-09-19 11:23:11	ga_s2am_ard_3-2-1_52KBC_2020-09-19_final
2020-09-19 11:23:15	ga_s2am_ard_3-2-1_51KYT_2020-09-19_final
2020-09-19 11:23:26	ga_s2am_ard_3-2-1_51KZS_2020-09-19_final
2020-09-19 11:23:32	ga_s2am_ard_3-2-1_52KCA_2020-09-19_final
2020-09-19 11:23:40	ga_s2am_ard_3-2-1_52KBA_2020-09-19_final
2020-09-19 11:23:40	ga_s2am_ard_3-2-1_51KZR_2020-09-19_final
2020-09-19 11:23:44	ga_s2am_ard_3-2-1_51KYR_2020-09-19_final
2020-09-19 11:23:47	ga_s2am_ard_3-2-1_51KXR_2020-09-19_final
2020-09-19 11:23:54	ga_s2am_ard_3-2-1_52KBV_2020-09-19_final
2020-09-19 11:23:54	ga_s2am_ard_3-2-1_51KZQ_2020-09-19_final
2020-09-19 11:23:58	ga_s2am_ard_3-2-1_51KYQ_2020-09-19_final
2020-09-19 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2020-09-19_final
2020-09-19 11:24:09	ga_s2am_ard_3-2-1_52KBU_2020-09-19_final
2020-09-19 11:24:13	ga_s2am_ard_3-2-1_51KYP_2020-09-19_final
2020-09-19 11:24:16	ga_s2am_ard_3-2-1_51KXP_2020-09-19_final
2020-09-19 11:24:20	ga_s2am_ard_3-2-1_51KWP_2020-09-19_final
2020-09-19 11:24:24	ga_s2am_ard_3-2-1_52JBT_2020-09-19_final
2020-09-19 11:24:27	ga_s2am_ard_3-2-1_51JYN_2020-09-19_final
2020-09-19 11:24:34	ga_s2am_ard_3-2-1_51JWN_2020-09-19_final
2020-09-19 11:24:37	ga_s2am_ard_3-2-1_51JZM_2020-09-19_final
2020-09-19 11:24:45	ga_s2am_ard_3-2-1_51JXM_2020-09-19_final
2020-09-19 11:25:18	ga_s2am_ard_3-2-1_51JWK_2020-09-19_final
2020-09-19 11:25:21	ga_s2am_ard_3-2-1_51JVK_2020-09-19_final
2020-09-19 11:25:25	ga_s2am_ard_3-2-1_51JYJ_2020-09-19_final
2020-09-19 11:25:29	ga_s2am_ard_3-2-1_51JXJ_2020-09-19_final
2020-09-19 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2020-09-19_final
2020-09-19 11:25:36	ga_s2am_ard_3-2-1_51JVJ_2020-09-19_final
2020-09-19 11:25:49	ga_s2am_ard_3-2-1_51JYG_2020-09-19_final
2020-09-19 11:26:12	ga_s2am_ard_3-2-1_51JXF_2020-09-19_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