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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
2022-12-18 11:24:54	ga_s2am_ard_3-2-1_51JXL_2022-12-18_final.stac-item
2022-12-18 11:25:09	ga_s2am_ard_3-2-1_51JXK_2022-12-18_final.stac-item
2022-12-18 11:25:12	ga_s2am_ard_3-2-1_51JWK_2022-12-18_final.stac-item
2022-12-18 11:25:15	ga_s2am_ard_3-2-1_51JVK_2022-12-18_final.stac-item
2022-12-18 11:25:19	ga_s2am_ard_3-2-1_51JYJ_2022-12-18_final.stac-item
2022-12-18 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2022-12-18_final.stac-item
2022-12-18 11:25:33	ga_s2am_ard_3-2-1_51JYH_2022-12-18_final.stac-item
2022-12-18 11:25:41	ga_s2am_ard_3-2-1_51JWH_2022-12-18_final.stac-item
2022-12-18 11:25:44	ga_s2am_ard_3-2-1_51JYG_2022-12-18_final.stac-item
2022-12-18 11:25:45	ga_s2am_ard_3-2-1_51JVH_2022-12-18_final.stac-item
2022-12-18 11:26:06	ga_s2am_ard_3-2-1_51JXF_2022-12-18_final.stac-item
2022-12-18 11:26:17	ga_s2am_ard_3-2-1_51JUF_2022-12-18_final.stac-item
2022-12-18 11:26:25	ga_s2am_ard_3-2-1_51HWE_2022-12-18_final.stac-item
2022-12-18 11:26:28	ga_s2am_ard_3-2-1_51HVE_2022-12-18_final.stac-item
2022-12-18 11:26:31	ga_s2am_ard_3-2-1_51HUE_2022-12-18_final.stac-item
2022-12-18 11:26:39	ga_s2am_ard_3-2-1_51HWD_2022-12-18_final.stac-item
2022-12-18 11:27:13	ga_s2am_ard_3-2-1_51HWA_2022-12-18_nrt.stac-item
2022-12-19 09:14:36	ga_s2am_ard_3-2-1_57JVH_2022-12-18_interim.stac-item
2022-12-19 09:15:21	ga_s2am_ard_3-2-1_56JPL_2022-12-18_nrt.stac-item
2022-12-19 10:50:01	ga_s2am_ard_3-2-1_53LQJ_2022-12-19_final.stac-item
2022-12-19 10:50:05	ga_s2am_ard_3-2-1_53LPJ_2022-12-19_final.stac-item
2022-12-19 10:50:08	ga_s2am_ard_3-2-1_53LNJ_2022-12-19_nrt.stac-item
2022-12-19 10:50:11	ga_s2am_ard_3-2-1_53LMJ_2022-12-19_nrt.stac-item
2022-12-19 10:50:15	ga_s2am_ard_3-2-1_53LQH_2022-12-19_final.stac-item
2022-12-19 10:50:19	ga_s2am_ard_3-2-1_53LPH_2022-12-19_final.stac-item
2022-12-19 10:50:23	ga_s2am_ard_3-2-1_53LNH_2022-12-19_final.stac-item
2022-12-19 10:50:26	ga_s2am_ard_3-2-1_53LMH_2022-12-19_final.stac-item
2022-12-19 10:50:26	ga_s2am_ard_3-2-1_53LQG_2022-12-19_final.stac-item
2022-12-19 10:50:33	ga_s2am_ard_3-2-1_53LPG_2022-12-19_final.stac-item
2022-12-19 10:50:37	ga_s2am_ard_3-2-1_53LNG_2022-12-19_final.stac-item
2022-12-19 10:50:46	ga_s2am_ard_3-2-1_53LLG_2022-12-19_final.stac-item
2022-12-19 10:50:48	ga_s2am_ard_3-2-1_53LPF_2022-12-19_final.stac-item
2022-12-19 10:50:52	ga_s2am_ard_3-2-1_53LNF_2022-12-19_final.stac-item
2022-12-19 10:50:55	ga_s2am_ard_3-2-1_53LMF_2022-12-19_final.stac-item
2022-12-19 10:50:58	ga_s2am_ard_3-2-1_53LLF_2022-12-19_final.stac-item
2022-12-19 10:51:03	ga_s2am_ard_3-2-1_53LPE_2022-12-19_final.stac-item
2022-12-19 10:51:06	ga_s2am_ard_3-2-1_53LNE_2022-12-19_final.stac-item
2022-12-19 10:51:09	ga_s2am_ard_3-2-1_53LME_2022-12-19_final.stac-item
2022-12-19 10:51:12	ga_s2am_ard_3-2-1_53LLE_2022-12-19_final.stac-item
2022-12-19 10:51:17	ga_s2am_ard_3-2-1_53LPD_2022-12-19_final.stac-item
2022-12-19 10:51:21	ga_s2am_ard_3-2-1_53LND_2022-12-19_final.stac-item
2022-12-19 10:51:24	ga_s2am_ard_3-2-1_53LMD_2022-12-19_final.stac-item
2022-12-19 10:51:27	ga_s2am_ard_3-2-1_53LLD_2022-12-19_final.stac-item
2022-12-19 10:51:35	ga_s2am_ard_3-2-1_53LNC_2022-12-19_final.stac-item
2022-12-19 10:51:38	ga_s2am_ard_3-2-1_53LMC_2022-12-19_final.stac-item
2022-12-19 10:52:11	ga_s2am_ard_3-2-1_53KLA_2022-12-19_final.stac-item
2022-12-19 10:52:14	ga_s2am_ard_3-2-1_53KKA_2022-12-19_final.stac-item
2022-12-19 10:52:28	ga_s2am_ard_3-2-1_53KKV_2022-12-19_final.stac-item
2022-12-19 10:52:30	ga_s2am_ard_3-2-1_52KHE_2022-12-19_final.stac-item
2022-12-19 10:52:32	ga_s2am_ard_3-2-1_53KNU_2022-12-19_final.stac-item
2022-12-19 10:52:37	ga_s2am_ard_3-2-1_53KMU_2022-12-19_final.stac-item
2022-12-19 10:52:40	ga_s2am_ard_3-2-1_53KLU_2022-12-19_final.stac-item
2022-12-19 10:52:43	ga_s2am_ard_3-2-1_53KKU_2022-12-19_final.stac-item
2022-12-19 10:52:44	ga_s2am_ard_3-2-1_53KNT_2022-12-19_final.stac-item
2022-12-19 10:52:51	ga_s2am_ard_3-2-1_53KMT_2022-12-19_final.stac-item
2022-12-19 10:52:55	ga_s2am_ard_3-2-1_53KLT_2022-12-19_final.stac-item
2022-12-19 10:52:58	ga_s2am_ard_3-2-1_53KKT_2022-12-19_final.stac-item
2022-12-19 10:53:05	ga_s2am_ard_3-2-1_53KMS_2022-12-19_final.stac-item
2022-12-19 10:53:09	ga_s2am_ard_3-2-1_53KLS_2022-12-19_final.stac-item
2022-12-19 10:53:12	ga_s2am_ard_3-2-1_53KKS_2022-12-19_final.stac-item
2022-12-19 10:53:19	ga_s2am_ard_3-2-1_52KGB_2022-12-19_final.stac-item
2022-12-19 10:53:20	ga_s2am_ard_3-2-1_53KMR_2022-12-19_final.stac-item
2022-12-19 10:53:24	ga_s2am_ard_3-2-1_53KLR_2022-12-19_final.stac-item
2022-12-19 10:53:27	ga_s2am_ard_3-2-1_53KKR_2022-12-19_final.stac-item
2022-12-19 10:53:31	ga_s2am_ard_3-2-1_52KGA_2022-12-19_final.stac-item
2022-12-19 10:53:35	ga_s2am_ard_3-2-1_53KMQ_2022-12-19_final.stac-item
2022-12-19 10:53:41	ga_s2am_ard_3-2-1_53KKQ_2022-12-19_final.stac-item
2022-12-19 10:53:45	ga_s2am_ard_3-2-1_52KGV_2022-12-19_final.stac-item
2022-12-19 10:53:48	ga_s2am_ard_3-2-1_53KMP_2022-12-19_final.stac-item
2022-12-19 10:53:53	ga_s2am_ard_3-2-1_53KLP_2022-12-19_final.stac-item
2022-12-19 10:53:56	ga_s2am_ard_3-2-1_53KKP_2022-12-19_final.stac-item
2022-12-19 10:54:00	ga_s2am_ard_3-2-1_52KGU_2022-12-19_final.stac-item
2022-12-19 10:54:11	ga_s2am_ard_3-2-1_53JKN_2022-12-19_final.stac-item
2022-12-19 10:54:14	ga_s2am_ard_3-2-1_52JGT_2022-12-19_final.stac-item
2022-12-19 10:54:20	ga_s2am_ard_3-2-1_52JFT_2022-12-19_final.stac-item
2022-12-19 10:54:22	ga_s2am_ard_3-2-1_53JLM_2022-12-19_final.stac-item
2022-12-19 10:54:25	ga_s2am_ard_3-2-1_53JKM_2022-12-19_final.stac-item
2022-12-19 10:54:28	ga_s2am_ard_3-2-1_52JGS_2022-12-19_final.stac-item
2022-12-19 10:54:32	ga_s2am_ard_3-2-1_52JFS_2022-12-19_final.stac-item
2022-12-19 10:54:36	ga_s2am_ard_3-2-1_53JLL_2022-12-19_final.stac-item
2022-12-19 10:54:40	ga_s2am_ard_3-2-1_53JKL_2022-12-19_final.stac-item
2022-12-19 10:54:43	ga_s2am_ard_3-2-1_52JGR_2022-12-19_final.stac-item
2022-12-19 10:54:45	ga_s2am_ard_3-2-1_52JFR_2022-12-19_final.stac-item
2022-12-19 10:54:50	ga_s2am_ard_3-2-1_52JGR_2022-12-19_final.stac-item
2022-12-19 10:54:51	ga_s2am_ard_3-2-1_52JFR_2022-12-19_final.stac-item
2022-12-19 10:54:53	ga_s2am_ard_3-2-1_53JLK_2022-12-19_final.stac-item
2022-12-19 10:55:01	ga_s2am_ard_3-2-1_52JFQ_2022-12-19_final.stac-item
2022-12-19 10:55:04	ga_s2am_ard_3-2-1_53JLJ_2022-12-19_final.stac-item
2022-12-19 10:55:09	ga_s2am_ard_3-2-1_53JKJ_2022-12-19_final.stac-item
2022-12-19 10:55:12	ga_s2am_ard_3-2-1_52JGP_2022-12-19_final.stac-item
2022-12-19 10:55:15	ga_s2am_ard_3-2-1_52JFP_2022-12-19_final.stac-item
2022-12-19 10:55:23	ga_s2am_ard_3-2-1_53JKH_2022-12-19_final.stac-item
2022-12-19 10:55:26	ga_s2am_ard_3-2-1_52JGN_2022-12-19_final.stac-item
2022-12-19 10:55:33	ga_s2am_ard_3-2-1_52JEN_2022-12-19_final.stac-item
2022-12-19 10:55:38	ga_s2am_ard_3-2-1_53JKG_2022-12-19_final.stac-item
2022-12-19 10:55:41	ga_s2am_ard_3-2-1_52JGM_2022-12-19_final.stac-item
2022-12-19 10:55:59	ga_s2am_ard_3-2-1_52JFL_2022-12-19_final.stac-item
2022-12-19 10:56:17	ga_s2am_ard_3-2-1_52HEK_2022-12-19_nrt.stac-item
2022-12-19 10:56:18	ga_s2am_ard_3-2-1_53HKD_2022-12-19_final.stac-item
2022-12-19 10:56:20	ga_s2am_ard_3-2-1_52HGJ_2022-12-19_nrt.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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