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
2022-12-30 12:05:18	ga_s2am_ard_3-2-1_49JFL_2022-12-30_final.stac-item
2022-12-30 12:05:25	ga_s2am_ard_3-2-1_50JKQ_2022-12-30_final.stac-item
2022-12-30 12:05:28	ga_s2am_ard_3-2-1_49JGK_2022-12-30_final.stac-item
2022-12-30 12:05:36	ga_s2am_ard_3-2-1_50JLP_2022-12-30_final.stac-item
2022-12-30 12:05:46	ga_s2am_ard_3-2-1_49JFJ_2022-12-30_nrt.stac-item
2022-12-30 12:05:50	ga_s2am_ard_3-2-1_50JLN_2022-12-30_final.stac-item
2022-12-30 12:06:01	ga_s2am_ard_3-2-1_49JFH_2022-12-30_nrt.stac-item
2022-12-30 12:06:15	ga_s2am_ard_3-2-1_49JFG_2022-12-30_nrt.stac-item
2022-12-30 12:06:21	ga_s2am_ard_3-2-1_50JKL_2022-12-30_final.stac-item
2022-12-30 12:06:23	ga_s2am_ard_3-2-1_49JGF_2022-12-30_nrt.stac-item
2022-12-30 12:06:24	ga_s2am_ard_3-2-1_49JFF_2022-12-30_nrt.stac-item
2022-12-31 09:49:53	ga_s2am_ard_3-2-1_56LLN_2022-12-31_nrt.stac-item
2022-12-31 09:51:03	ga_s2am_ard_3-2-1_56LLH_2022-12-31_nrt.stac-item
2022-12-31 09:51:14	ga_s2am_ard_3-2-1_55LGC_2022-12-31_final.stac-item
2022-12-31 09:51:25	ga_s2am_ard_3-2-1_55KHB_2022-12-31_final.stac-item
2022-12-31 09:51:39	ga_s2am_ard_3-2-1_55KHA_2022-12-31_final.stac-item
2022-12-31 09:52:01	ga_s2am_ard_3-2-1_55KFV_2022-12-31_final.stac-item
2022-12-31 09:52:04	ga_s2am_ard_3-2-1_55KEV_2022-12-31_final.stac-item
2022-12-31 09:52:07	ga_s2am_ard_3-2-1_56KKD_2022-12-31_nrt.stac-item
2022-12-31 09:52:09	ga_s2am_ard_3-2-1_55KHU_2022-12-31_final.stac-item
2022-12-31 09:53:10	ga_s2am_ard_3-2-1_55KGQ_2022-12-31_final.stac-item
2022-12-31 09:54:08	ga_s2am_ard_3-2-1_55JCM_2022-12-31_final.stac-item
2022-12-31 09:54:25	ga_s2am_ard_3-2-1_55JFK_2022-12-31_final.stac-item
2022-12-31 09:54:30	ga_s2am_ard_3-2-1_55JCK_2022-12-31_final.stac-item
2022-12-31 09:54:32	ga_s2am_ard_3-2-1_55JFK_2022-12-31_final.stac-item
2022-12-31 09:54:34	ga_s2am_ard_3-2-1_55JEK_2022-12-31_final.stac-item
2022-12-31 09:54:36	ga_s2am_ard_3-2-1_55JDK_2022-12-31_final.stac-item
2022-12-31 09:54:39	ga_s2am_ard_3-2-1_55JFJ_2022-12-31_final.stac-item
2022-12-31 09:54:44	ga_s2am_ard_3-2-1_55JEJ_2022-12-31_final.stac-item
2022-12-31 09:54:48	ga_s2am_ard_3-2-1_55JDJ_2022-12-31_final.stac-item
2022-12-31 09:55:06	ga_s2am_ard_3-2-1_55JCH_2022-12-31_final.stac-item
2022-12-31 09:55:13	ga_s2am_ard_3-2-1_55JEG_2022-12-31_final.stac-item
2022-12-31 09:55:17	ga_s2am_ard_3-2-1_55JDG_2022-12-31_final.stac-item
2022-12-31 09:55:28	ga_s2am_ard_3-2-1_55JEF_2022-12-31_final.stac-item
2022-12-31 09:55:31	ga_s2am_ard_3-2-1_55JDF_2022-12-31_final.stac-item
2022-12-31 09:55:35	ga_s2am_ard_3-2-1_55JCF_2022-12-31_final.stac-item
2022-12-31 09:55:38	ga_s2am_ard_3-2-1_55JBF_2022-12-31_final.stac-item
2022-12-31 09:55:49	ga_s2am_ard_3-2-1_55HCE_2022-12-31_final.stac-item
2022-12-31 09:55:53	ga_s2am_ard_3-2-1_55HED_2022-12-31_final.stac-item
2022-12-31 09:55:56	ga_s2am_ard_3-2-1_54HYK_2022-12-31_final.stac-item
2022-12-31 09:56:33	ga_s2am_ard_3-2-1_55HCB_2022-12-31_final.stac-item
2022-12-31 09:56:36	ga_s2am_ard_3-2-1_55HBB_2022-12-31_final.stac-item
2022-12-31 09:56:38	ga_s2am_ard_3-2-1_54HYG_2022-12-31_final.stac-item
2022-12-31 09:56:45	ga_s2am_ard_3-2-1_54HXG_2022-12-31_final.stac-item
2022-12-31 09:56:51	ga_s2am_ard_3-2-1_55HBA_2022-12-31_final.stac-item
2022-12-31 09:56:57	ga_s2am_ard_3-2-1_55HDV_2022-12-31_final.stac-item
2022-12-31 09:57:02	ga_s2am_ard_3-2-1_55HCV_2022-12-31_final.stac-item
2022-12-31 09:57:05	ga_s2am_ard_3-2-1_55HBV_2022-12-31_final.stac-item
2022-12-31 09:57:07	ga_s2am_ard_3-2-1_54HYE_2022-12-31_final.stac-item
2022-12-31 09:57:10	ga_s2am_ard_3-2-1_54HXE_2022-12-31_final.stac-item
2022-12-31 09:57:31	ga_s2am_ard_3-2-1_55HCT_2022-12-31_final.stac-item
2022-12-31 09:57:34	ga_s2am_ard_3-2-1_55HBT_2022-12-31_final.stac-item
2022-12-31 09:57:44	ga_s2am_ard_3-2-1_54HWC_2022-12-31_final.stac-item
2022-12-31 09:57:49	ga_s2am_ard_3-2-1_55HBS_2022-12-31_final.stac-item
2022-12-31 09:57:50	ga_s2am_ard_3-2-1_54HYB_2022-12-31_final.stac-item
2022-12-31 09:58:18	ga_s2am_ard_3-2-1_55GBQ_2022-12-31_final.stac-item
2022-12-31 09:58:18	ga_s2am_ard_3-2-1_54GYV_2022-12-31_final.stac-item
2022-12-31 09:58:25	ga_s2am_ard_3-2-1_54GWV_2022-12-31_nrt.stac-item
2022-12-31 09:58:28	ga_s2am_ard_3-2-1_54GYU_2022-12-31_nrt.stac-item
2022-12-31 09:58:28	ga_s2am_ard_3-2-1_55GBP_2022-12-31_final.stac-item
2022-12-31 11:30:43	ga_s2am_ard_3-2-1_51LXH_2022-12-31_nrt.stac-item
2022-12-31 11:31:47	ga_s2am_ard_3-2-1_51LZC_2022-12-31_final.stac-item
2022-12-31 11:31:52	ga_s2am_ard_3-2-1_51LYC_2022-12-31_final.stac-item
2022-12-31 11:31:58	ga_s2am_ard_3-2-1_51KZB_2022-12-31_final.stac-item
2022-12-31 11:32:18	ga_s2am_ard_3-2-1_51KVB_2022-12-31_final.stac-item
2022-12-31 11:32:39	ga_s2am_ard_3-2-1_51KXV_2022-12-31_final.stac-item
2022-12-31 11:32:42	ga_s2am_ard_3-2-1_51KWV_2022-12-31_final.stac-item
2022-12-31 11:32:45	ga_s2am_ard_3-2-1_51KVV_2022-12-31_final.stac-item
2022-12-31 11:32:49	ga_s2am_ard_3-2-1_51KYU_2022-12-31_final.stac-item
2022-12-31 11:33:01	ga_s2am_ard_3-2-1_51KYT_2022-12-31_final.stac-item
2022-12-31 11:33:41	ga_s2am_ard_3-2-1_51KWR_2022-12-31_final.stac-item
2022-12-31 11:33:44	ga_s2am_ard_3-2-1_51KVR_2022-12-31_final.stac-item
2022-12-31 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2022-12-31_final.stac-item
2022-12-31 11:34:04	ga_s2am_ard_3-2-1_51KXP_2022-12-31_final.stac-item
2022-12-31 11:34:36	ga_s2am_ard_3-2-1_50JRT_2022-12-31_final.stac-item
2022-12-31 11:34:48	ga_s2am_ard_3-2-1_50JRS_2022-12-31_final.stac-item
2022-12-31 11:34:57	ga_s2am_ard_3-2-1_51JVL_2022-12-31_final.stac-item
2022-12-31 11:35:00	ga_s2am_ard_3-2-1_51JUL_2022-12-31_final.stac-item
2022-12-31 11:35:03	ga_s2am_ard_3-2-1_51JTL_2022-12-31_final.stac-item
2022-12-31 11:35:07	ga_s2am_ard_3-2-1_51JWK_2022-12-31_final.stac-item
2022-12-31 11:35:11	ga_s2am_ard_3-2-1_51JVK_2022-12-31_final.stac-item
2022-12-31 11:35:18	ga_s2am_ard_3-2-1_51JTK_2022-12-31_final.stac-item
2022-12-31 11:35:25	ga_s2am_ard_3-2-1_51JVJ_2022-12-31_final.stac-item
2022-12-31 11:35:44	ga_s2am_ard_3-2-1_51JUH_2022-12-31_final.stac-item
2022-12-31 11:35:55	ga_s2am_ard_3-2-1_51JVG_2022-12-31_final.stac-item
2022-12-31 11:36:09	ga_s2am_ard_3-2-1_51JVF_2022-12-31_final.stac-item
2022-12-31 11:36:16	ga_s2am_ard_3-2-1_51JTF_2022-12-31_final.stac-item
2022-12-31 11:36:18	ga_s2am_ard_3-2-1_50JQL_2022-12-31_final.stac-item
2022-12-31 11:36:25	ga_s2am_ard_3-2-1_50JPL_2022-12-31_final.stac-item
2022-12-31 11:36:33	ga_s2am_ard_3-2-1_50HQK_2022-12-31_final.stac-item
2022-12-31 11:36:37	ga_s2am_ard_3-2-1_50HPK_2022-12-31_final.stac-item
2022-12-31 11:36:56	ga_s2am_ard_3-2-1_51HUC_2022-12-31_final.stac-item
2022-12-31 11:37:05	ga_s2am_ard_3-2-1_50HPH_2022-12-31_final.stac-item
2022-12-31 11:37:11	ga_s2am_ard_3-2-1_51HUB_2022-12-31_final.stac-item
2022-12-31 11:37:14	ga_s2am_ard_3-2-1_51HTB_2022-12-31_final.stac-item
2022-12-31 11:37:16	ga_s2am_ard_3-2-1_50HQG_2022-12-31_final.stac-item
2022-12-31 11:37:20	ga_s2am_ard_3-2-1_50HPG_2022-12-31_final.stac-item
2022-12-31 11:37:25	ga_s2am_ard_3-2-1_51HUA_2022-12-31_nrt.stac-item
2022-12-31 11:37:27	ga_s2am_ard_3-2-1_51HTA_2022-12-31_nrt.stac-item
2022-12-31 11:37:28	ga_s2am_ard_3-2-1_50HQF_2022-12-31_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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