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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
2023-05-23 11:46:04	ga_s2am_ard_3-2-1_50JQM_2023-05-23_final.stac-item
2023-05-23 11:46:22	ga_s2am_ard_3-2-1_50JPL_2023-05-23_final.stac-item
2023-05-23 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2023-05-23_final.stac-item
2023-05-23 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2023-05-23_final.stac-item
2023-05-23 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2023-05-23_final.stac-item
2023-05-23 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2023-05-23_final.stac-item
2023-05-23 11:47:05	ga_s2am_ard_3-2-1_50HPH_2023-05-23_final.stac-item
2023-05-23 11:47:17	ga_s2am_ard_3-2-1_50HLH_2023-05-23_final.stac-item
2023-05-23 11:47:24	ga_s2am_ard_3-2-1_50HNG_2023-05-23_final.stac-item
2023-05-23 11:47:27	ga_s2am_ard_3-2-1_50HMG_2023-05-23_final.stac-item
2023-05-23 11:47:30	ga_s2am_ard_3-2-1_50HLG_2023-05-23_final.stac-item
2023-05-23 11:47:32	ga_s2am_ard_3-2-1_50HPF_2023-05-23_nrt.stac-item
2023-05-23 11:47:34	ga_s2am_ard_3-2-1_50HNF_2023-05-23_nrt.stac-item
2023-05-23 11:47:36	ga_s2am_ard_3-2-1_50HMF_2023-05-23_nrt.stac-item
2023-05-24 09:32:55	ga_s2am_ard_3-2-1_56KNA_2023-05-24_final.stac-item
2023-05-24 09:34:00	ga_s2am_ard_3-2-1_56JLS_2023-05-24_final.stac-item
2023-05-24 09:34:44	ga_s2am_ard_3-2-1_56JLP_2023-05-24_final.stac-item
2023-05-24 09:34:47	ga_s2am_ard_3-2-1_56JKP_2023-05-24_final.stac-item
2023-05-24 09:35:01	ga_s2am_ard_3-2-1_56JKN_2023-05-24_final.stac-item
2023-05-24 09:35:09	ga_s2am_ard_3-2-1_56JMM_2023-05-24_final.stac-item
2023-05-24 09:35:13	ga_s2am_ard_3-2-1_56JLM_2023-05-24_final.stac-item
2023-05-24 09:35:18	ga_s2am_ard_3-2-1_55JGG_2023-05-24_final.stac-item
2023-05-24 09:35:24	ga_s2am_ard_3-2-1_56JML_2023-05-24_final.stac-item
2023-05-24 09:35:27	ga_s2am_ard_3-2-1_56JLL_2023-05-24_final.stac-item
2023-05-24 09:35:38	ga_s2am_ard_3-2-1_56HMK_2023-05-24_final.stac-item
2023-05-24 09:35:51	ga_s2am_ard_3-2-1_56HMJ_2023-05-24_final.stac-item
2023-05-24 09:35:53	ga_s2am_ard_3-2-1_55HFE_2023-05-24_final.stac-item
2023-05-24 09:35:56	ga_s2am_ard_3-2-1_56HLJ_2023-05-24_final.stac-item
2023-05-24 09:36:00	ga_s2am_ard_3-2-1_56HKJ_2023-05-24_final.stac-item
2023-05-24 09:36:01	ga_s2am_ard_3-2-1_56HMH_2023-05-24_nrt.stac-item
2023-05-24 09:36:02	ga_s2am_ard_3-2-1_55HGD_2023-05-24_final.stac-item
2023-05-24 09:36:05	ga_s2am_ard_3-2-1_55HFD_2023-05-24_final.stac-item
2023-05-24 09:36:11	ga_s2am_ard_3-2-1_56HLH_2023-05-24_final.stac-item
2023-05-24 09:36:20	ga_s2am_ard_3-2-1_55HFC_2023-05-24_final.stac-item
2023-05-24 09:36:29	ga_s2am_ard_3-2-1_56HKG_2023-05-24_final.stac-item
2023-05-24 09:36:31	ga_s2am_ard_3-2-1_55HGB_2023-05-24_final.stac-item
2023-05-24 09:36:44	ga_s2am_ard_3-2-1_56HKF_2023-05-24_final.stac-item
2023-05-24 09:36:45	ga_s2am_ard_3-2-1_55HGA_2023-05-24_final.stac-item
2023-05-24 09:36:49	ga_s2am_ard_3-2-1_55HFA_2023-05-24_final.stac-item
2023-05-24 09:36:53	ga_s2am_ard_3-2-1_55HEA_2023-05-24_final.stac-item
2023-05-24 09:37:06	ga_s2am_ard_3-2-1_56HLD_2023-05-24_nrt.stac-item
2023-05-24 09:37:13	ga_s2am_ard_3-2-1_56HKD_2023-05-24_final.stac-item
2023-05-24 09:37:14	ga_s2am_ard_3-2-1_55HGU_2023-05-24_final.stac-item
2023-05-24 09:37:18	ga_s2am_ard_3-2-1_55HFU_2023-05-24_final.stac-item
2023-05-24 09:37:27	ga_s2am_ard_3-2-1_56HKC_2023-05-24_nrt.stac-item
2023-05-24 09:37:28	ga_s2am_ard_3-2-1_55HGT_2023-05-24_nrt.stac-item
2023-05-24 09:37:32	ga_s2am_ard_3-2-1_55HFT_2023-05-24_final.stac-item
2023-05-24 09:37:36	ga_s2am_ard_3-2-1_55HET_2023-05-24_final.stac-item
2023-05-24 09:37:43	ga_s2am_ard_3-2-1_55HDT_2023-05-24_final.stac-item
2023-05-24 09:37:47	ga_s2am_ard_3-2-1_55HFS_2023-05-24_final.stac-item
2023-05-24 09:37:54	ga_s2am_ard_3-2-1_55HDS_2023-05-24_final.stac-item
2023-05-24 09:37:57	ga_s2am_ard_3-2-1_56GKA_2023-05-24_nrt.stac-item
2023-05-24 09:37:57	ga_s2am_ard_3-2-1_55GGR_2023-05-24_nrt.stac-item
2023-05-24 09:38:01	ga_s2am_ard_3-2-1_55GFR_2023-05-24_final.stac-item
2023-05-24 09:38:05	ga_s2am_ard_3-2-1_55GER_2023-05-24_final.stac-item
2023-05-24 09:38:08	ga_s2am_ard_3-2-1_55GDR_2023-05-24_final.stac-item
2023-05-24 09:38:11	ga_s2am_ard_3-2-1_56GKV_2023-05-24_nrt.stac-item
2023-05-24 09:38:11	ga_s2am_ard_3-2-1_55GGQ_2023-05-24_nrt.stac-item
2023-05-24 09:38:15	ga_s2am_ard_3-2-1_55GFQ_2023-05-24_final.stac-item
2023-05-24 09:38:19	ga_s2am_ard_3-2-1_55GEQ_2023-05-24_final.stac-item
2023-05-24 09:38:23	ga_s2am_ard_3-2-1_55GDQ_2023-05-24_final.stac-item
2023-05-24 09:38:44	ga_s2am_ard_3-2-1_55GFN_2023-05-24_final.stac-item
2023-05-24 09:38:48	ga_s2am_ard_3-2-1_55GEN_2023-05-24_final.stac-item
2023-05-24 09:38:52	ga_s2am_ard_3-2-1_55GDN_2023-05-24_final.stac-item
2023-05-24 09:38:56	ga_s2am_ard_3-2-1_55GCN_2023-05-24_final.stac-item
2023-05-24 09:38:59	ga_s2am_ard_3-2-1_55GFM_2023-05-24_nrt.stac-item
2023-05-24 09:39:03	ga_s2am_ard_3-2-1_55GEM_2023-05-24_final.stac-item
2023-05-24 09:39:05	ga_s2am_ard_3-2-1_55GDM_2023-05-24_final.stac-item
2023-05-24 09:39:06	ga_s2am_ard_3-2-1_55GCM_2023-05-24_final.stac-item
2023-05-24 11:11:01	ga_s2am_ard_3-2-1_52LGL_2023-05-24_final.stac-item
2023-05-24 11:11:15	ga_s2am_ard_3-2-1_52LGK_2023-05-24_final.stac-item
2023-05-24 11:11:30	ga_s2am_ard_3-2-1_52LGJ_2023-05-24_final.stac-item
2023-05-24 11:11:34	ga_s2am_ard_3-2-1_52LFJ_2023-05-24_final.stac-item
2023-05-24 11:11:37	ga_s2am_ard_3-2-1_52LEJ_2023-05-24_final.stac-item
2023-05-24 11:11:40	ga_s2am_ard_3-2-1_52LDJ_2023-05-24_final.stac-item
2023-05-24 11:11:51	ga_s2am_ard_3-2-1_52LEH_2023-05-24_final.stac-item
2023-05-24 11:11:55	ga_s2am_ard_3-2-1_52LDH_2023-05-24_final.stac-item
2023-05-24 11:12:20	ga_s2am_ard_3-2-1_52KEF_2023-05-24_final.stac-item
2023-05-24 11:12:24	ga_s2am_ard_3-2-1_52KDF_2023-05-24_final.stac-item
2023-05-24 11:12:35	ga_s2am_ard_3-2-1_52KEE_2023-05-24_final.stac-item
2023-05-24 11:12:38	ga_s2am_ard_3-2-1_52KDE_2023-05-24_final.stac-item
2023-05-24 11:13:36	ga_s2am_ard_3-2-1_52KDA_2023-05-24_final.stac-item
2023-05-24 11:13:57	ga_s2am_ard_3-2-1_52KBV_2023-05-24_final.stac-item
2023-05-24 11:14:38	ga_s2am_ard_3-2-1_52JCS_2023-05-24_final.stac-item
2023-05-24 11:15:21	ga_s2am_ard_3-2-1_52JCP_2023-05-24_final.stac-item
2023-05-24 11:15:28	ga_s2am_ard_3-2-1_51JYJ_2023-05-24_final.stac-item
2023-05-24 11:15:54	ga_s2am_ard_3-2-1_52JBM_2023-05-24_final.stac-item
2023-05-24 11:15:57	ga_s2am_ard_3-2-1_51JYG_2023-05-24_final.stac-item
2023-05-24 11:16:05	ga_s2am_ard_3-2-1_52JCL_2023-05-24_final.stac-item
2023-05-24 11:16:15	ga_s2am_ard_3-2-1_51JXF_2023-05-24_final.stac-item
2023-05-24 11:16:26	ga_s2am_ard_3-2-1_51HYE_2023-05-24_final.stac-item
2023-05-24 11:16:30	ga_s2am_ard_3-2-1_52HCJ_2023-05-24_nrt.stac-item
2023-05-24 11:16:38	ga_s2am_ard_3-2-1_52HBJ_2023-05-24_nrt.stac-item
2023-05-24 11:16:40	ga_s2am_ard_3-2-1_51HYD_2023-05-24_final.stac-item
2023-05-24 11:16:44	ga_s2am_ard_3-2-1_51HXD_2023-05-24_final.stac-item
2023-05-24 11:16:47	ga_s2am_ard_3-2-1_51HWD_2023-05-24_final.stac-item
2023-05-24 11:16:58	ga_s2am_ard_3-2-1_51HXC_2023-05-24_final.stac-item
2023-05-24 11:17:05	ga_s2am_ard_3-2-1_52HBG_2023-05-24_nrt.stac-item
2023-05-24 11:17:06	ga_s2am_ard_3-2-1_51HYB_2023-05-24_nrt.stac-item
2023-05-24 11:17:08	ga_s2am_ard_3-2-1_51HXB_2023-05-24_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

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