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
2023-01-29 12:05:35	ga_s2am_ard_3-2-1_50JLP_2023-01-29_final.stac-item
2023-01-29 12:05:39	ga_s2am_ard_3-2-1_50JKP_2023-01-29_final.stac-item
2023-01-29 12:05:45	ga_s2am_ard_3-2-1_49JFJ_2023-01-29_nrt.stac-item
2023-01-29 12:05:56	ga_s2am_ard_3-2-1_49JGH_2023-01-29_final.stac-item
2023-01-29 12:06:02	ga_s2am_ard_3-2-1_50JLM_2023-01-29_final.stac-item
2023-01-29 12:06:08	ga_s2am_ard_3-2-1_50JKM_2023-01-29_final.stac-item
2023-01-29 12:06:11	ga_s2am_ard_3-2-1_49JGG_2023-01-29_nrt.stac-item
2023-01-29 12:06:14	ga_s2am_ard_3-2-1_49JFG_2023-01-29_nrt.stac-item
2023-01-30 09:51:23	ga_s2am_ard_3-2-1_56KKG_2023-01-30_final.stac-item
2023-01-30 09:51:24	ga_s2am_ard_3-2-1_55KHB_2023-01-30_final.stac-item
2023-01-30 09:51:28	ga_s2am_ard_3-2-1_55KGB_2023-01-30_final.stac-item
2023-01-30 09:51:39	ga_s2am_ard_3-2-1_55KHA_2023-01-30_final.stac-item
2023-01-30 09:51:43	ga_s2am_ard_3-2-1_55KGA_2023-01-30_final.stac-item
2023-01-30 09:52:55	ga_s2am_ard_3-2-1_55KGR_2023-01-30_final.stac-item
2023-01-30 09:52:58	ga_s2am_ard_3-2-1_55KFR_2023-01-30_final.stac-item
2023-01-30 09:53:03	ga_s2am_ard_3-2-1_55KGR_2023-01-30_final.stac-item
2023-01-30 09:53:04	ga_s2am_ard_3-2-1_55KFR_2023-01-30_final.stac-item
2023-01-30 09:53:06	ga_s2am_ard_3-2-1_55KER_2023-01-30_final.stac-item
2023-01-30 09:53:08	ga_s2am_ard_3-2-1_55KDR_2023-01-30_final.stac-item
2023-01-30 09:53:27	ga_s2am_ard_3-2-1_55KFP_2023-01-30_final.stac-item
2023-01-30 09:53:42	ga_s2am_ard_3-2-1_55JFN_2023-01-30_final.stac-item
2023-01-30 09:53:45	ga_s2am_ard_3-2-1_55JEN_2023-01-30_final.stac-item
2023-01-30 09:53:46	ga_s2am_ard_3-2-1_55JGM_2023-01-30_final.stac-item
2023-01-30 09:53:49	ga_s2am_ard_3-2-1_55JDN_2023-01-30_final.stac-item
2023-01-30 09:53:56	ga_s2am_ard_3-2-1_55JCN_2023-01-30_final.stac-item
2023-01-30 09:53:56	ga_s2am_ard_3-2-1_55JFM_2023-01-30_final.stac-item
2023-01-30 09:54:11	ga_s2am_ard_3-2-1_55JFL_2023-01-30_final.stac-item
2023-01-30 09:54:25	ga_s2am_ard_3-2-1_55JFK_2023-01-30_final.stac-item
2023-01-30 09:54:38	ga_s2am_ard_3-2-1_55JFJ_2023-01-30_final.stac-item
2023-01-30 09:54:49	ga_s2am_ard_3-2-1_55JFH_2023-01-30_final.stac-item
2023-01-30 09:54:50	ga_s2am_ard_3-2-1_55JCJ_2023-01-30_final.stac-item
2023-01-30 09:54:58	ga_s2am_ard_3-2-1_55JEH_2023-01-30_final.stac-item
2023-01-30 09:55:02	ga_s2am_ard_3-2-1_55JDH_2023-01-30_final.stac-item
2023-01-30 09:55:09	ga_s2am_ard_3-2-1_55JBH_2023-01-30_final.stac-item
2023-01-30 09:55:19	ga_s2am_ard_3-2-1_55JCG_2023-01-30_final.stac-item
2023-01-30 09:55:34	ga_s2am_ard_3-2-1_55JCF_2023-01-30_final.stac-item
2023-01-30 09:55:41	ga_s2am_ard_3-2-1_55HEE_2023-01-30_final.stac-item
2023-01-30 09:55:45	ga_s2am_ard_3-2-1_55HDE_2023-01-30_final.stac-item
2023-01-30 09:55:48	ga_s2am_ard_3-2-1_55HCE_2023-01-30_final.stac-item
2023-01-30 09:55:52	ga_s2am_ard_3-2-1_55HBE_2023-01-30_final.stac-item
2023-01-30 09:56:06	ga_s2am_ard_3-2-1_55HBD_2023-01-30_final.stac-item
2023-01-30 09:56:08	ga_s2am_ard_3-2-1_54HYJ_2023-01-30_final.stac-item
2023-01-30 09:56:21	ga_s2am_ard_3-2-1_55HBC_2023-01-30_final.stac-item
2023-01-30 09:56:23	ga_s2am_ard_3-2-1_54HYH_2023-01-30_final.stac-item
2023-01-30 09:56:47	ga_s2am_ard_3-2-1_55HCA_2023-01-30_final.stac-item
2023-01-30 09:56:50	ga_s2am_ard_3-2-1_55HBA_2023-01-30_final.stac-item
2023-01-30 09:56:51	ga_s2am_ard_3-2-1_54HYF_2023-01-30_final.stac-item
2023-01-30 09:56:55	ga_s2am_ard_3-2-1_54HXF_2023-01-30_final.stac-item
2023-01-30 09:56:56	ga_s2am_ard_3-2-1_55HDV_2023-01-30_final.stac-item
2023-01-30 09:57:01	ga_s2am_ard_3-2-1_55HCV_2023-01-30_final.stac-item
2023-01-30 09:57:06	ga_s2am_ard_3-2-1_54HYE_2023-01-30_final.stac-item
2023-01-30 09:57:10	ga_s2am_ard_3-2-1_54HXE_2023-01-30_final.stac-item
2023-01-30 09:57:45	ga_s2am_ard_3-2-1_55HCS_2023-01-30_final.stac-item
2023-01-30 09:57:53	ga_s2am_ard_3-2-1_54HXB_2023-01-30_final.stac-item
2023-01-30 09:57:59	ga_s2am_ard_3-2-1_55GCR_2023-01-30_final.stac-item
2023-01-30 09:58:03	ga_s2am_ard_3-2-1_55GBR_2023-01-30_final.stac-item
2023-01-30 09:58:03	ga_s2am_ard_3-2-1_54GYA_2023-01-30_final.stac-item
2023-01-30 09:58:07	ga_s2am_ard_3-2-1_54GXA_2023-01-30_nrt.stac-item
2023-01-30 09:58:11	ga_s2am_ard_3-2-1_54GWA_2023-01-30_nrt.stac-item
2023-01-30 09:58:12	ga_s2am_ard_3-2-1_55GCQ_2023-01-30_final.stac-item
2023-01-30 09:58:17	ga_s2am_ard_3-2-1_55GBQ_2023-01-30_final.stac-item
2023-01-30 09:58:17	ga_s2am_ard_3-2-1_54GYV_2023-01-30_final.stac-item
2023-01-30 09:58:21	ga_s2am_ard_3-2-1_54GXV_2023-01-30_nrt.stac-item
2023-01-30 09:58:22	ga_s2am_ard_3-2-1_55GCP_2023-01-30_final.stac-item
2023-01-30 09:58:24	ga_s2am_ard_3-2-1_54GWV_2023-01-30_nrt.stac-item
2023-01-30 11:31:43	ga_s2am_ard_3-2-1_51LWD_2023-01-30_final.stac-item
2023-01-30 11:31:57	ga_s2am_ard_3-2-1_51KZB_2023-01-30_final.stac-item
2023-01-30 11:32:05	ga_s2am_ard_3-2-1_51KYB_2023-01-30_final.stac-item
2023-01-30 11:33:25	ga_s2am_ard_3-2-1_51KWS_2023-01-30_final.stac-item
2023-01-30 11:33:28	ga_s2am_ard_3-2-1_51KVS_2023-01-30_final.stac-item
2023-01-30 11:33:32	ga_s2am_ard_3-2-1_51KUS_2023-01-30_final.stac-item
2023-01-30 11:33:40	ga_s2am_ard_3-2-1_51KWR_2023-01-30_final.stac-item
2023-01-30 11:33:43	ga_s2am_ard_3-2-1_51KVR_2023-01-30_final.stac-item
2023-01-30 11:34:23	ga_s2am_ard_3-2-1_51JWN_2023-01-30_final.stac-item
2023-01-30 11:34:27	ga_s2am_ard_3-2-1_51JVN_2023-01-30_final.stac-item
2023-01-30 11:34:34	ga_s2am_ard_3-2-1_51JTN_2023-01-30_final.stac-item
2023-01-30 11:34:44	ga_s2am_ard_3-2-1_51JUM_2023-01-30_final.stac-item
2023-01-30 11:35:02	ga_s2am_ard_3-2-1_51JTL_2023-01-30_final.stac-item
2023-01-30 11:35:17	ga_s2am_ard_3-2-1_51JWJ_2023-01-30_final.stac-item
2023-01-30 11:35:28	ga_s2am_ard_3-2-1_51JUJ_2023-01-30_final.stac-item
2023-01-30 11:35:31	ga_s2am_ard_3-2-1_51JTJ_2023-01-30_final.stac-item
2023-01-30 11:35:39	ga_s2am_ard_3-2-1_51JVH_2023-01-30_final.stac-item
2023-01-30 11:35:46	ga_s2am_ard_3-2-1_51JTH_2023-01-30_final.stac-item
2023-01-30 11:35:48	ga_s2am_ard_3-2-1_50JQN_2023-01-30_final.stac-item
2023-01-30 11:35:57	ga_s2am_ard_3-2-1_51JUG_2023-01-30_final.stac-item
2023-01-30 11:36:03	ga_s2am_ard_3-2-1_50JQM_2023-01-30_final.stac-item
2023-01-30 11:36:12	ga_s2am_ard_3-2-1_51JUF_2023-01-30_final.stac-item
2023-01-30 11:36:21	ga_s2am_ard_3-2-1_51HVE_2023-01-30_final.stac-item
2023-01-30 11:36:26	ga_s2am_ard_3-2-1_51HUE_2023-01-30_final.stac-item
2023-01-30 11:36:36	ga_s2am_ard_3-2-1_50HPK_2023-01-30_final.stac-item
2023-01-30 11:36:44	ga_s2am_ard_3-2-1_51HTD_2023-01-30_final.stac-item
2023-01-30 11:36:46	ga_s2am_ard_3-2-1_50HQJ_2023-01-30_final.stac-item
2023-01-30 11:36:59	ga_s2am_ard_3-2-1_51HTC_2023-01-30_final.stac-item
2023-01-30 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-01-30_final.stac-item
2023-01-30 11:37:24	ga_s2am_ard_3-2-1_51HUA_2023-01-30_nrt.stac-item
2023-01-30 11:37:27	ga_s2am_ard_3-2-1_51HTA_2023-01-30_nrt.stac-item
2023-01-30 11:37:27	ga_s2am_ard_3-2-1_50HQF_2023-01-30_nrt.stac-item
2023-01-30 11:37:29	ga_s2am_ard_3-2-1_50HPF_2023-01-30_nrt.stac-item
2023-01-30 11:37:31	ga_s2am_ard_3-2-1_50HNF_2023-01-30_final.stac-item
2023-01-30 11:37:32	ga_s2am_ard_3-2-1_51HUV_2023-01-30_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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