Search ga_s2am_ard_3 whole collection

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:

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First 100 results (query limit)

Time (local)	Label
2023-11-18 12:14:05	ga_s2am_ard_3-2-1_50KKV_2023-11-18_final.stac-item
2023-11-18 12:14:10	ga_s2am_ard_3-2-1_49KGQ_2023-11-18_final.stac-item
2023-11-18 12:14:14	ga_s2am_ard_3-2-1_49KFQ_2023-11-18_nrt.stac-item
2023-11-18 12:14:28	ga_s2am_ard_3-2-1_49KFP_2023-11-18_nrt.stac-item
2023-11-18 12:15:17	ga_s2am_ard_3-2-1_49JGK_2023-11-18_final.stac-item
2023-11-18 12:15:18	ga_s2am_ard_3-2-1_49JFK_2023-11-18_nrt.stac-item
2023-11-19 10:00:02	ga_s2am_ard_3-2-1_55LEH_2023-11-19_nrt.stac-item
2023-11-19 10:00:06	ga_s2am_ard_3-2-1_55LDH_2023-11-19_nrt.stac-item
2023-11-19 10:00:25	ga_s2am_ard_3-2-1_55LGF_2023-11-19_nrt.stac-item
2023-11-19 10:00:42	ga_s2am_ard_3-2-1_55LFE_2023-11-19_nrt.stac-item
2023-11-19 10:00:46	ga_s2am_ard_3-2-1_55LEE_2023-11-19_nrt.stac-item
2023-11-19 10:00:49	ga_s2am_ard_3-2-1_55LDE_2023-11-19_nrt.stac-item
2023-11-19 10:00:57	ga_s2am_ard_3-2-1_55LFD_2023-11-19_nrt.stac-item
2023-11-19 10:01:01	ga_s2am_ard_3-2-1_55LED_2023-11-19_nrt.stac-item
2023-11-19 10:01:04	ga_s2am_ard_3-2-1_55LDD_2023-11-19_nrt.stac-item
2023-11-19 10:01:09	ga_s2am_ard_3-2-1_55LCD_2023-11-19_final.stac-item
2023-11-19 10:02:13	ga_s2am_ard_3-2-1_55KEU_2023-11-19_final.stac-item
2023-11-19 10:02:17	ga_s2am_ard_3-2-1_55KDU_2023-11-19_final.stac-item
2023-11-19 10:02:37	ga_s2am_ard_3-2-1_55KBT_2023-11-19_final.stac-item
2023-11-19 10:02:52	ga_s2am_ard_3-2-1_55KBS_2023-11-19_final.stac-item
2023-11-19 10:03:06	ga_s2am_ard_3-2-1_55KEQ_2023-11-19_final.stac-item
2023-11-19 10:03:18	ga_s2am_ard_3-2-1_55KCQ_2023-11-19_final.stac-item
2023-11-19 10:03:21	ga_s2am_ard_3-2-1_55KBQ_2023-11-19_final.stac-item
2023-11-19 10:03:32	ga_s2am_ard_3-2-1_55KCP_2023-11-19_final.stac-item
2023-11-19 10:04:21	ga_s2am_ard_3-2-1_55JDK_2023-11-19_final.stac-item
2023-11-19 10:04:30	ga_s2am_ard_3-2-1_55JCK_2023-11-19_final.stac-item
2023-11-19 10:04:34	ga_s2am_ard_3-2-1_55JBK_2023-11-19_final.stac-item
2023-11-19 10:04:37	ga_s2am_ard_3-2-1_54JYQ_2023-11-19_final.stac-item
2023-11-19 10:04:41	ga_s2am_ard_3-2-1_54JXQ_2023-11-19_final.stac-item
2023-11-19 10:04:45	ga_s2am_ard_3-2-1_55JCJ_2023-11-19_final.stac-item
2023-11-19 10:04:55	ga_s2am_ard_3-2-1_54JXP_2023-11-19_final.stac-item
2023-11-19 10:05:00	ga_s2am_ard_3-2-1_55JCH_2023-11-19_final.stac-item
2023-11-19 10:05:10	ga_s2am_ard_3-2-1_54JXN_2023-11-19_final.stac-item
2023-11-19 10:05:18	ga_s2am_ard_3-2-1_55JBG_2023-11-19_final.stac-item
2023-11-19 10:05:20	ga_s2am_ard_3-2-1_54JYM_2023-11-19_final.stac-item
2023-11-19 10:05:30	ga_s2am_ard_3-2-1_54JWM_2023-11-19_final.stac-item
2023-11-19 10:05:32	ga_s2am_ard_3-2-1_55JBF_2023-11-19_final.stac-item
2023-11-19 10:05:35	ga_s2am_ard_3-2-1_54JYL_2023-11-19_final.stac-item
2023-11-19 10:05:47	ga_s2am_ard_3-2-1_55HBE_2023-11-19_final.stac-item
2023-11-19 10:05:49	ga_s2am_ard_3-2-1_54HYK_2023-11-19_final.stac-item
2023-11-19 10:05:56	ga_s2am_ard_3-2-1_54HWK_2023-11-19_final.stac-item
2023-11-19 10:06:07	ga_s2am_ard_3-2-1_54HXJ_2023-11-19_final.stac-item
2023-11-19 10:06:30	ga_s2am_ard_3-2-1_55HBB_2023-11-19_final.stac-item
2023-11-19 10:06:32	ga_s2am_ard_3-2-1_54HYG_2023-11-19_final.stac-item
2023-11-19 10:06:36	ga_s2am_ard_3-2-1_54HXG_2023-11-19_final.stac-item
2023-11-19 10:06:43	ga_s2am_ard_3-2-1_55HBA_2023-11-19_final.stac-item
2023-11-19 10:06:47	ga_s2am_ard_3-2-1_54HYF_2023-11-19_final.stac-item
2023-11-19 10:06:51	ga_s2am_ard_3-2-1_54HXF_2023-11-19_final.stac-item
2023-11-19 10:06:53	ga_s2am_ard_3-2-1_55HBV_2023-11-19_final.stac-item
2023-11-19 10:06:55	ga_s2am_ard_3-2-1_54HWF_2023-11-19_final.stac-item
2023-11-19 10:06:58	ga_s2am_ard_3-2-1_54HVF_2023-11-19_final.stac-item
2023-11-19 10:07:01	ga_s2am_ard_3-2-1_54HYE_2023-11-19_final.stac-item
2023-11-19 10:07:05	ga_s2am_ard_3-2-1_54HXE_2023-11-19_final.stac-item
2023-11-19 10:07:09	ga_s2am_ard_3-2-1_54HWE_2023-11-19_final.stac-item
2023-11-19 10:07:13	ga_s2am_ard_3-2-1_54HVE_2023-11-19_final.stac-item
2023-11-19 10:07:23	ga_s2am_ard_3-2-1_54HWD_2023-11-19_final.stac-item
2023-11-19 10:07:27	ga_s2am_ard_3-2-1_54HVD_2023-11-19_final.stac-item
2023-11-19 10:07:38	ga_s2am_ard_3-2-1_54HWC_2023-11-19_final.stac-item
2023-11-19 10:07:41	ga_s2am_ard_3-2-1_54HVC_2023-11-19_final.stac-item
2023-11-19 11:40:40	ga_s2am_ard_3-2-1_51LWH_2023-11-19_nrt.stac-item
2023-11-19 11:40:43	ga_s2am_ard_3-2-1_51LVH_2023-11-19_nrt.stac-item
2023-11-19 11:41:15	ga_s2am_ard_3-2-1_51LXE_2023-11-19_nrt.stac-item
2023-11-19 11:41:23	ga_s2am_ard_3-2-1_51LWE_2023-11-19_final.stac-item
2023-11-19 11:41:27	ga_s2am_ard_3-2-1_51LVE_2023-11-19_final.stac-item
2023-11-19 11:41:30	ga_s2am_ard_3-2-1_51LUE_2023-11-19_final.stac-item
2023-11-19 11:41:38	ga_s2am_ard_3-2-1_51LWD_2023-11-19_nrt.stac-item
2023-11-19 11:41:41	ga_s2am_ard_3-2-1_51LVD_2023-11-19_nrt.stac-item
2023-11-19 11:41:45	ga_s2am_ard_3-2-1_51LUD_2023-11-19_final.stac-item
2023-11-19 11:42:05	ga_s2am_ard_3-2-1_50LRH_2023-11-19_nrt.stac-item
2023-11-19 11:42:54	ga_s2am_ard_3-2-1_51KVU_2023-11-19_final.stac-item
2023-11-19 11:43:30	ga_s2am_ard_3-2-1_51KTS_2023-11-19_final.stac-item
2023-11-19 11:43:55	ga_s2am_ard_3-2-1_51KUQ_2023-11-19_final.stac-item
2023-11-19 11:43:59	ga_s2am_ard_3-2-1_51KTQ_2023-11-19_final.stac-item
2023-11-19 11:44:03	ga_s2am_ard_3-2-1_50KQV_2023-11-19_final.stac-item
2023-11-19 11:44:07	ga_s2am_ard_3-2-1_50KPV_2023-11-19_final.stac-item
2023-11-19 11:44:10	ga_s2am_ard_3-2-1_51KUP_2023-11-19_final.stac-item
2023-11-19 11:44:20	ga_s2am_ard_3-2-1_50KPU_2023-11-19_final.stac-item
2023-11-19 11:45:12	ga_s2am_ard_3-2-1_51JTK_2023-11-19_final.stac-item
2023-11-19 11:45:15	ga_s2am_ard_3-2-1_50JQQ_2023-11-19_final.stac-item
2023-11-19 11:45:19	ga_s2am_ard_3-2-1_50JPQ_2023-11-19_final.stac-item
2023-11-19 11:45:33	ga_s2am_ard_3-2-1_50JPP_2023-11-19_final.stac-item
2023-11-19 11:45:37	ga_s2am_ard_3-2-1_50JNP_2023-11-19_final.stac-item
2023-11-19 11:45:48	ga_s2am_ard_3-2-1_50JPN_2023-11-19_final.stac-item
2023-11-19 11:45:54	ga_s2am_ard_3-2-1_51JTG_2023-11-19_final.stac-item
2023-11-19 11:45:58	ga_s2am_ard_3-2-1_50JQM_2023-11-19_final.stac-item
2023-11-19 11:46:05	ga_s2am_ard_3-2-1_51JTF_2023-11-19_final.stac-item
2023-11-19 11:46:06	ga_s2am_ard_3-2-1_50JNM_2023-11-19_final.stac-item
2023-11-19 11:46:10	ga_s2am_ard_3-2-1_50JMM_2023-11-19_final.stac-item
2023-11-19 11:46:13	ga_s2am_ard_3-2-1_50JQL_2023-11-19_final.stac-item
2023-11-19 11:46:20	ga_s2am_ard_3-2-1_50JNL_2023-11-19_final.stac-item
2023-11-19 11:46:23	ga_s2am_ard_3-2-1_50JML_2023-11-19_final.stac-item
2023-11-19 11:46:27	ga_s2am_ard_3-2-1_50HQK_2023-11-19_final.stac-item
2023-11-19 11:46:31	ga_s2am_ard_3-2-1_50HPK_2023-11-19_final.stac-item
2023-11-19 11:46:35	ga_s2am_ard_3-2-1_50HNK_2023-11-19_final.stac-item
2023-11-19 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-11-19_final.stac-item
2023-11-19 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-11-19_final.stac-item
2023-11-19 11:47:14	ga_s2am_ard_3-2-1_50HPG_2023-11-19_final.stac-item
2023-11-19 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-11-19_final.stac-item
2023-11-19 11:47:26	ga_s2am_ard_3-2-1_50HPF_2023-11-19_nrt.stac-item
2023-11-19 11:47:27	ga_s2am_ard_3-2-1_50HNF_2023-11-19_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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