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:

Add field

First 100 results (query limit)

Time (local)	Label
2023-03-07 11:57:08	ga_s2am_ard_3-2-1_50HKH_2023-03-07_nrt.stac-item
2023-03-07 11:57:10	ga_s2am_ard_3-2-1_49HGC_2023-03-07_nrt.stac-item
2023-03-08 09:40:07	ga_s2am_ard_3-2-1_56LPL_2023-03-08_nrt.stac-item
2023-03-08 09:41:13	ga_s2am_ard_3-2-1_56LKH_2023-03-08_nrt.stac-item
2023-03-08 09:41:16	ga_s2am_ard_3-2-1_56KNG_2023-03-08_nrt.stac-item
2023-03-08 09:41:19	ga_s2am_ard_3-2-1_56KMG_2023-03-08_final.stac-item
2023-03-08 09:41:42	ga_s2am_ard_3-2-1_56KNE_2023-03-08_nrt.stac-item
2023-03-08 09:41:48	ga_s2am_ard_3-2-1_56KME_2023-03-08_final.stac-item
2023-03-08 09:41:52	ga_s2am_ard_3-2-1_56KLE_2023-03-08_final.stac-item
2023-03-08 09:42:09	ga_s2am_ard_3-2-1_56KKD_2023-03-08_nrt.stac-item
2023-03-08 09:42:24	ga_s2am_ard_3-2-1_56KKC_2023-03-08_nrt.stac-item
2023-03-08 09:42:29	ga_s2am_ard_3-2-1_55KGT_2023-03-08_final.stac-item
2023-03-08 09:42:32	ga_s2am_ard_3-2-1_56KMB_2023-03-08_final.stac-item
2023-03-08 09:42:45	ga_s2am_ard_3-2-1_56KMA_2023-03-08_final.stac-item
2023-03-08 09:42:50	ga_s2am_ard_3-2-1_56KLA_2023-03-08_final.stac-item
2023-03-08 09:42:53	ga_s2am_ard_3-2-1_55KHR_2023-03-08_final.stac-item
2023-03-08 09:42:57	ga_s2am_ard_3-2-1_55KGR_2023-03-08_final.stac-item
2023-03-08 09:43:08	ga_s2am_ard_3-2-1_56KKV_2023-03-08_final.stac-item
2023-03-08 09:43:26	ga_s2am_ard_3-2-1_55KGP_2023-03-08_final.stac-item
2023-03-08 09:43:36	ga_s2am_ard_3-2-1_55JHN_2023-03-08_final.stac-item
2023-03-08 09:43:37	ga_s2am_ard_3-2-1_56JKT_2023-03-08_final.stac-item
2023-03-08 09:43:40	ga_s2am_ard_3-2-1_55JGN_2023-03-08_final.stac-item
2023-03-08 09:43:48	ga_s2am_ard_3-2-1_56JLS_2023-03-08_final.stac-item
2023-03-08 09:43:51	ga_s2am_ard_3-2-1_55JHM_2023-03-08_final.stac-item
2023-03-08 09:43:58	ga_s2am_ard_3-2-1_55JFM_2023-03-08_final.stac-item
2023-03-08 09:44:06	ga_s2am_ard_3-2-1_56JKR_2023-03-08_final.stac-item
2023-03-08 09:44:09	ga_s2am_ard_3-2-1_55JGL_2023-03-08_final.stac-item
2023-03-08 09:44:45	ga_s2am_ard_3-2-1_55JEJ_2023-03-08_final.stac-item
2023-03-08 09:45:04	ga_s2am_ard_3-2-1_56JKM_2023-03-08_final.stac-item
2023-03-08 09:45:07	ga_s2am_ard_3-2-1_55JGG_2023-03-08_final.stac-item
2023-03-08 09:45:14	ga_s2am_ard_3-2-1_55JEG_2023-03-08_final.stac-item
2023-03-08 09:45:22	ga_s2am_ard_3-2-1_55JDG_2023-03-08_final.stac-item
2023-03-08 09:45:25	ga_s2am_ard_3-2-1_55JFF_2023-03-08_final.stac-item
2023-03-08 09:45:29	ga_s2am_ard_3-2-1_55JEF_2023-03-08_final.stac-item
2023-03-08 09:45:33	ga_s2am_ard_3-2-1_55JDF_2023-03-08_final.stac-item
2023-03-08 09:46:03	ga_s2am_ard_3-2-1_55HGC_2023-03-08_final.stac-item
2023-03-08 09:46:39	ga_s2am_ard_3-2-1_55HFA_2023-03-08_final.stac-item
2023-03-08 09:46:41	ga_s2am_ard_3-2-1_55HEA_2023-03-08_final.stac-item
2023-03-08 09:46:45	ga_s2am_ard_3-2-1_55HDA_2023-03-08_final.stac-item
2023-03-08 09:46:52	ga_s2am_ard_3-2-1_55HFV_2023-03-08_final.stac-item
2023-03-08 09:46:56	ga_s2am_ard_3-2-1_55HEV_2023-03-08_final.stac-item
2023-03-08 09:46:59	ga_s2am_ard_3-2-1_55HDV_2023-03-08_final.stac-item
2023-03-08 09:47:03	ga_s2am_ard_3-2-1_55HCV_2023-03-08_final.stac-item
2023-03-08 09:47:39	ga_s2am_ard_3-2-1_55HES_2023-03-08_final.stac-item
2023-03-08 09:47:43	ga_s2am_ard_3-2-1_55HDS_2023-03-08_final.stac-item
2023-03-08 09:47:46	ga_s2am_ard_3-2-1_55HCS_2023-03-08_final.stac-item
2023-03-08 09:47:49	ga_s2am_ard_3-2-1_55HBS_2023-03-08_final.stac-item
2023-03-08 09:47:50	ga_s2am_ard_3-2-1_54HYB_2023-03-08_final.stac-item
2023-03-08 09:48:18	ga_s2am_ard_3-2-1_55GEP_2023-03-08_final.stac-item
2023-03-08 09:48:26	ga_s2am_ard_3-2-1_55GDP_2023-03-08_final.stac-item
2023-03-08 09:48:30	ga_s2am_ard_3-2-1_55GCP_2023-03-08_final.stac-item
2023-03-08 09:48:33	ga_s2am_ard_3-2-1_54GYU_2023-03-08_nrt.stac-item
2023-03-08 09:48:33	ga_s2am_ard_3-2-1_55GBP_2023-03-08_nrt.stac-item
2023-03-08 09:48:38	ga_s2am_ard_3-2-1_54GXU_2023-03-08_nrt.stac-item
2023-03-08 11:20:53	ga_s2am_ard_3-2-1_52LEL_2023-03-08_final.stac-item
2023-03-08 11:20:58	ga_s2am_ard_3-2-1_52LDL_2023-03-08_nrt.stac-item
2023-03-08 11:21:03	ga_s2am_ard_3-2-1_52LEK_2023-03-08_final.stac-item
2023-03-08 11:21:05	ga_s2am_ard_3-2-1_52LBL_2023-03-08_nrt.stac-item
2023-03-08 11:21:06	ga_s2am_ard_3-2-1_51LZF_2023-03-08_nrt.stac-item
2023-03-08 11:21:13	ga_s2am_ard_3-2-1_52LDK_2023-03-08_nrt.stac-item
2023-03-08 11:21:27	ga_s2am_ard_3-2-1_52LDJ_2023-03-08_final.stac-item
2023-03-08 11:21:46	ga_s2am_ard_3-2-1_52LCH_2023-03-08_final.stac-item
2023-03-08 11:21:49	ga_s2am_ard_3-2-1_52LBH_2023-03-08_final.stac-item
2023-03-08 11:21:50	ga_s2am_ard_3-2-1_51LZC_2023-03-08_final.stac-item
2023-03-08 11:21:54	ga_s2am_ard_3-2-1_51LYC_2023-03-08_final.stac-item
2023-03-08 11:21:56	ga_s2am_ard_3-2-1_52KDG_2023-03-08_final.stac-item
2023-03-08 11:22:00	ga_s2am_ard_3-2-1_52KCG_2023-03-08_final.stac-item
2023-03-08 11:22:19	ga_s2am_ard_3-2-1_51KZA_2023-03-08_final.stac-item
2023-03-08 11:22:29	ga_s2am_ard_3-2-1_52KCE_2023-03-08_final.stac-item
2023-03-08 11:22:47	ga_s2am_ard_3-2-1_52KBD_2023-03-08_final.stac-item
2023-03-08 11:22:48	ga_s2am_ard_3-2-1_51KZU_2023-03-08_final.stac-item
2023-03-08 11:22:51	ga_s2am_ard_3-2-1_51KYU_2023-03-08_final.stac-item
2023-03-08 11:23:02	ga_s2am_ard_3-2-1_52KBC_2023-03-08_final.stac-item
2023-03-08 11:23:06	ga_s2am_ard_3-2-1_51KYT_2023-03-08_final.stac-item
2023-03-08 11:23:23	ga_s2am_ard_3-2-1_52KCA_2023-03-08_final.stac-item
2023-03-08 11:23:30	ga_s2am_ard_3-2-1_52KBA_2023-03-08_final.stac-item
2023-03-08 11:23:35	ga_s2am_ard_3-2-1_51KYR_2023-03-08_final.stac-item
2023-03-08 11:23:38	ga_s2am_ard_3-2-1_51KXR_2023-03-08_final.stac-item
2023-03-08 11:23:45	ga_s2am_ard_3-2-1_52KBV_2023-03-08_final.stac-item
2023-03-08 11:23:57	ga_s2am_ard_3-2-1_51KWQ_2023-03-08_final.stac-item
2023-03-08 11:24:00	ga_s2am_ard_3-2-1_52KBU_2023-03-08_final.stac-item
2023-03-08 11:24:14	ga_s2am_ard_3-2-1_52JBT_2023-03-08_final.stac-item
2023-03-08 11:24:18	ga_s2am_ard_3-2-1_51JYN_2023-03-08_final.stac-item
2023-03-08 11:24:25	ga_s2am_ard_3-2-1_51JWN_2023-03-08_final.stac-item
2023-03-08 11:24:28	ga_s2am_ard_3-2-1_51JZM_2023-03-08_final.stac-item
2023-03-08 11:24:36	ga_s2am_ard_3-2-1_51JXM_2023-03-08_final.stac-item
2023-03-08 11:24:39	ga_s2am_ard_3-2-1_52JBR_2023-03-08_final.stac-item
2023-03-08 11:24:47	ga_s2am_ard_3-2-1_51JYL_2023-03-08_final.stac-item
2023-03-08 11:24:54	ga_s2am_ard_3-2-1_51JWL_2023-03-08_final.stac-item
2023-03-08 11:24:59	ga_s2am_ard_3-2-1_51JVL_2023-03-08_final.stac-item
2023-03-08 11:25:09	ga_s2am_ard_3-2-1_51JWK_2023-03-08_final.stac-item
2023-03-08 11:25:12	ga_s2am_ard_3-2-1_51JVK_2023-03-08_final.stac-item
2023-03-08 11:25:23	ga_s2am_ard_3-2-1_51JWJ_2023-03-08_final.stac-item
2023-03-08 11:25:26	ga_s2am_ard_3-2-1_51JVJ_2023-03-08_final.stac-item
2023-03-08 11:25:41	ga_s2am_ard_3-2-1_51JYG_2023-03-08_final.stac-item
2023-03-08 11:25:52	ga_s2am_ard_3-2-1_51JWG_2023-03-08_final.stac-item
2023-03-08 11:25:56	ga_s2am_ard_3-2-1_51JVG_2023-03-08_final.stac-item
2023-03-08 11:26:07	ga_s2am_ard_3-2-1_51JWF_2023-03-08_final.stac-item
2023-03-08 11:26:10	ga_s2am_ard_3-2-1_51JVF_2023-03-08_final.stac-item
2023-03-08 11:26:43	ga_s2am_ard_3-2-1_51HXC_2023-03-08_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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