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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
2023-02-01 12:14:06	ga_s2am_ard_3-2-1_50KKV_2023-02-01_final.stac-item
2023-02-01 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2023-02-01_final.stac-item
2023-02-01 12:14:11	ga_s2am_ard_3-2-1_49KGQ_2023-02-01_final.stac-item
2023-02-01 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-02-01_final.stac-item
2023-02-01 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-02-01_final.stac-item
2023-02-02 10:00:33	ga_s2am_ard_3-2-1_55LEF_2023-02-02_nrt.stac-item
2023-02-02 10:00:36	ga_s2am_ard_3-2-1_55LDF_2023-02-02_nrt.stac-item
2023-02-02 10:00:50	ga_s2am_ard_3-2-1_55LGD_2023-02-02_nrt.stac-item
2023-02-02 10:00:58	ga_s2am_ard_3-2-1_55LFD_2023-02-02_nrt.stac-item
2023-02-02 10:01:02	ga_s2am_ard_3-2-1_55LED_2023-02-02_nrt.stac-item
2023-02-02 10:01:05	ga_s2am_ard_3-2-1_55LDD_2023-02-02_nrt.stac-item
2023-02-02 10:01:10	ga_s2am_ard_3-2-1_55LCD_2023-02-02_final.stac-item
2023-02-02 10:01:12	ga_s2am_ard_3-2-1_55LFC_2023-02-02_final.stac-item
2023-02-02 10:01:16	ga_s2am_ard_3-2-1_55LEC_2023-02-02_final.stac-item
2023-02-02 10:01:19	ga_s2am_ard_3-2-1_55LDC_2023-02-02_nrt.stac-item
2023-02-02 10:01:23	ga_s2am_ard_3-2-1_55LCC_2023-02-02_final.stac-item
2023-02-02 10:01:27	ga_s2am_ard_3-2-1_55KFB_2023-02-02_final.stac-item
2023-02-02 10:01:31	ga_s2am_ard_3-2-1_55KEB_2023-02-02_final.stac-item
2023-02-02 10:01:34	ga_s2am_ard_3-2-1_55KDB_2023-02-02_final.stac-item
2023-02-02 10:01:45	ga_s2am_ard_3-2-1_55KEA_2023-02-02_nrt.stac-item
2023-02-02 10:01:49	ga_s2am_ard_3-2-1_55KDA_2023-02-02_final.stac-item
2023-02-02 10:01:53	ga_s2am_ard_3-2-1_55KFV_2023-02-02_nrt.stac-item
2023-02-02 10:01:59	ga_s2am_ard_3-2-1_55KEV_2023-02-02_final.stac-item
2023-02-02 10:02:03	ga_s2am_ard_3-2-1_55KDV_2023-02-02_final.stac-item
2023-02-02 10:02:06	ga_s2am_ard_3-2-1_55KCV_2023-02-02_final.stac-item
2023-02-02 10:02:13	ga_s2am_ard_3-2-1_55KBV_2023-02-02_final.stac-item
2023-02-02 10:02:43	ga_s2am_ard_3-2-1_55KES_2023-02-02_final.stac-item
2023-02-02 10:02:47	ga_s2am_ard_3-2-1_55KDS_2023-02-02_final.stac-item
2023-02-02 10:02:55	ga_s2am_ard_3-2-1_55KER_2023-02-02_final.stac-item
2023-02-02 10:03:00	ga_s2am_ard_3-2-1_55KCR_2023-02-02_final.stac-item
2023-02-02 10:03:01	ga_s2am_ard_3-2-1_55KBS_2023-02-02_final.stac-item
2023-02-02 10:03:01	ga_s2am_ard_3-2-1_54KZA_2023-02-02_final.stac-item
2023-02-02 10:03:01	ga_s2am_ard_3-2-1_55KBR_2023-02-02_final.stac-item
2023-02-02 10:03:22	ga_s2am_ard_3-2-1_54KZV_2023-02-02_final.stac-item
2023-02-02 10:03:34	ga_s2am_ard_3-2-1_55KCP_2023-02-02_final.stac-item
2023-02-02 10:03:37	ga_s2am_ard_3-2-1_55KBP_2023-02-02_final.stac-item
2023-02-02 10:03:41	ga_s2am_ard_3-2-1_54KYU_2023-02-02_final.stac-item
2023-02-02 10:03:45	ga_s2am_ard_3-2-1_55JDN_2023-02-02_final.stac-item
2023-02-02 10:03:51	ga_s2am_ard_3-2-1_54JZT_2023-02-02_final.stac-item
2023-02-02 10:03:51	ga_s2am_ard_3-2-1_55JBN_2023-02-02_final.stac-item
2023-02-02 10:03:55	ga_s2am_ard_3-2-1_54JYT_2023-02-02_final.stac-item
2023-02-02 10:04:12	ga_s2am_ard_3-2-1_55JDL_2023-02-02_final.stac-item
2023-02-02 10:05:15	ga_s2am_ard_3-2-1_55JCG_2023-02-02_final.stac-item
2023-02-02 10:05:25	ga_s2am_ard_3-2-1_54JXM_2023-02-02_final.stac-item
2023-02-02 10:05:37	ga_s2am_ard_3-2-1_55HCE_2023-02-02_final.stac-item
2023-02-02 10:05:43	ga_s2am_ard_3-2-1_54JWL_2023-02-02_final.stac-item
2023-02-02 10:06:02	ga_s2am_ard_3-2-1_55HBD_2023-02-02_final.stac-item
2023-02-02 10:06:05	ga_s2am_ard_3-2-1_54HYJ_2023-02-02_final.stac-item
2023-02-02 10:06:17	ga_s2am_ard_3-2-1_55HBC_2023-02-02_final.stac-item
2023-02-02 10:06:19	ga_s2am_ard_3-2-1_54HYH_2023-02-02_final.stac-item
2023-02-02 10:06:27	ga_s2am_ard_3-2-1_54HWH_2023-02-02_final.stac-item
2023-02-02 10:06:32	ga_s2am_ard_3-2-1_54HVH_2023-02-02_final.stac-item
2023-02-02 10:06:54	ga_s2am_ard_3-2-1_55HBV_2023-02-02_final.stac-item
2023-02-02 10:06:56	ga_s2am_ard_3-2-1_54HWF_2023-02-02_final.stac-item
2023-02-02 10:06:59	ga_s2am_ard_3-2-1_54HVF_2023-02-02_final.stac-item
2023-02-02 10:07:13	ga_s2am_ard_3-2-1_54HYD_2023-02-02_final.stac-item
2023-02-02 10:07:39	ga_s2am_ard_3-2-1_54HWC_2023-02-02_final.stac-item
2023-02-02 10:07:43	ga_s2am_ard_3-2-1_54HVC_2023-02-02_final.stac-item
2023-02-02 11:41:10	ga_s2am_ard_3-2-1_51LWF_2023-02-02_nrt.stac-item
2023-02-02 11:41:14	ga_s2am_ard_3-2-1_51LVF_2023-02-02_final.stac-item
2023-02-02 11:41:39	ga_s2am_ard_3-2-1_51LWD_2023-02-02_nrt.stac-item
2023-02-02 11:41:43	ga_s2am_ard_3-2-1_51LVD_2023-02-02_nrt.stac-item
2023-02-02 11:41:46	ga_s2am_ard_3-2-1_51LUD_2023-02-02_final.stac-item
2023-02-02 11:41:49	ga_s2am_ard_3-2-1_51LTD_2023-02-02_nrt.stac-item
2023-02-02 11:41:54	ga_s2am_ard_3-2-1_51LWC_2023-02-02_final.stac-item
2023-02-02 11:41:57	ga_s2am_ard_3-2-1_51LVC_2023-02-02_final.stac-item
2023-02-02 11:42:00	ga_s2am_ard_3-2-1_51LUC_2023-02-02_final.stac-item
2023-02-02 11:42:08	ga_s2am_ard_3-2-1_51KWB_2023-02-02_final.stac-item
2023-02-02 11:42:12	ga_s2am_ard_3-2-1_51KVB_2023-02-02_final.stac-item
2023-02-02 11:42:18	ga_s2am_ard_3-2-1_51KTB_2023-02-02_nrt.stac-item
2023-02-02 11:42:19	ga_s2am_ard_3-2-1_50KRG_2023-02-02_nrt.stac-item
2023-02-02 11:42:20	ga_s2am_ard_3-2-1_51KWA_2023-02-02_final.stac-item
2023-02-02 11:42:26	ga_s2am_ard_3-2-1_51KVA_2023-02-02_final.stac-item
2023-02-02 11:42:33	ga_s2am_ard_3-2-1_51KTA_2023-02-02_nrt.stac-item
2023-02-02 11:42:33	ga_s2am_ard_3-2-1_50KRF_2023-02-02_nrt.stac-item
2023-02-02 11:42:41	ga_s2am_ard_3-2-1_51KVV_2023-02-02_final.stac-item
2023-02-02 11:42:44	ga_s2am_ard_3-2-1_51KUV_2023-02-02_final.stac-item
2023-02-02 11:42:47	ga_s2am_ard_3-2-1_51KTV_2023-02-02_nrt.stac-item
2023-02-02 11:42:48	ga_s2am_ard_3-2-1_50KRE_2023-02-02_nrt.stac-item
2023-02-02 11:43:23	ga_s2am_ard_3-2-1_51KVS_2023-02-02_final.stac-item
2023-02-02 11:43:46	ga_s2am_ard_3-2-1_50KRA_2023-02-02_final.stac-item
2023-02-02 11:44:04	ga_s2am_ard_3-2-1_50KQV_2023-02-02_final.stac-item
2023-02-02 11:44:15	ga_s2am_ard_3-2-1_51KTP_2023-02-02_final.stac-item
2023-02-02 11:44:18	ga_s2am_ard_3-2-1_50KQU_2023-02-02_final.stac-item
2023-02-02 11:44:22	ga_s2am_ard_3-2-1_50KPU_2023-02-02_final.stac-item
2023-02-02 11:44:29	ga_s2am_ard_3-2-1_50JRT_2023-02-02_final.stac-item
2023-02-02 11:44:29	ga_s2am_ard_3-2-1_51JTN_2023-02-02_final.stac-item
2023-02-02 11:44:33	ga_s2am_ard_3-2-1_50JQT_2023-02-02_final.stac-item
2023-02-02 11:44:43	ga_s2am_ard_3-2-1_50JRS_2023-02-02_final.stac-item
2023-02-02 11:45:52	ga_s2am_ard_3-2-1_50JNN_2023-02-02_final.stac-item
2023-02-02 11:46:03	ga_s2am_ard_3-2-1_50JPM_2023-02-02_final.stac-item
2023-02-02 11:46:21	ga_s2am_ard_3-2-1_50JNL_2023-02-02_final.stac-item
2023-02-02 11:46:25	ga_s2am_ard_3-2-1_50JML_2023-02-02_final.stac-item
2023-02-02 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2023-02-02_final.stac-item
2023-02-02 11:46:52	ga_s2am_ard_3-2-1_50HQH_2023-02-02_final.stac-item
2023-02-02 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-02-02_final.stac-item
2023-02-02 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-02-02_final.stac-item
2023-02-02 11:47:10	ga_s2am_ard_3-2-1_50HLH_2023-02-02_final.stac-item
2023-02-02 11:47:12	ga_s2am_ard_3-2-1_50HNH_2023-02-02_final.stac-item
2023-02-02 11:47:14	ga_s2am_ard_3-2-1_50HMH_2023-02-02_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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