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
2019-04-20 12:05:01	ga_s2am_ard_3-2-1_50JMR_2019-04-20_final
2019-04-20 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-04-20_final
2019-04-20 12:05:18	ga_s2am_ard_3-2-1_49JGL_2019-04-20_final
2019-04-20 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2019-04-20_final
2019-04-20 12:05:32	ga_s2am_ard_3-2-1_49JGK_2019-04-20_final
2019-04-20 12:05:40	ga_s2am_ard_3-2-1_50JLP_2019-04-20_final
2019-04-20 12:05:44	ga_s2am_ard_3-2-1_50JKP_2019-04-20_final
2019-04-20 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-04-20_final
2019-04-20 12:05:54	ga_s2am_ard_3-2-1_50JLN_2019-04-20_final
2019-04-20 12:06:07	ga_s2am_ard_3-2-1_50JLM_2019-04-20_final
2019-04-20 12:06:17	ga_s2am_ard_3-2-1_50JLL_2019-04-20_final
2019-04-21 09:54:19	ga_s2am_ard_3-2-1_55JEL_2019-04-21_final
2019-04-21 09:54:23	ga_s2am_ard_3-2-1_55JDL_2019-04-21_final
2019-04-21 09:54:41	ga_s2am_ard_3-2-1_55JCK_2019-04-21_final
2019-04-21 09:54:43	ga_s2am_ard_3-2-1_55JFJ_2019-04-21_final
2019-04-21 09:54:48	ga_s2am_ard_3-2-1_55JEJ_2019-04-21_final
2019-04-21 09:54:52	ga_s2am_ard_3-2-1_55JDJ_2019-04-21_final
2019-04-21 09:54:53	ga_s2am_ard_3-2-1_55JFH_2019-04-21_final
2019-04-21 09:55:06	ga_s2am_ard_3-2-1_55JDH_2019-04-21_final
2019-04-21 09:55:10	ga_s2am_ard_3-2-1_55JCH_2019-04-21_final
2019-04-21 09:55:17	ga_s2am_ard_3-2-1_55JEG_2019-04-21_final
2019-04-21 09:55:21	ga_s2am_ard_3-2-1_55JDG_2019-04-21_final
2019-04-21 09:55:24	ga_s2am_ard_3-2-1_55JCG_2019-04-21_final
2019-04-21 09:55:32	ga_s2am_ard_3-2-1_55JEF_2019-04-21_final
2019-04-21 09:55:35	ga_s2am_ard_3-2-1_55JDF_2019-04-21_final
2019-04-21 09:55:42	ga_s2am_ard_3-2-1_55JBF_2019-04-21_final
2019-04-21 09:55:46	ga_s2am_ard_3-2-1_55HEE_2019-04-21_final
2019-04-21 09:55:53	ga_s2am_ard_3-2-1_55HCE_2019-04-21_final
2019-04-21 09:55:57	ga_s2am_ard_3-2-1_55HBE_2019-04-21_final
2019-04-21 09:55:57	ga_s2am_ard_3-2-1_55HED_2019-04-21_final
2019-04-21 09:56:00	ga_s2am_ard_3-2-1_54HYK_2019-04-21_final
2019-04-21 09:56:04	ga_s2am_ard_3-2-1_55HDD_2019-04-21_final
2019-04-21 09:56:08	ga_s2am_ard_3-2-1_55HCD_2019-04-21_final
2019-04-21 09:56:11	ga_s2am_ard_3-2-1_55HBD_2019-04-21_final
2019-04-21 09:56:19	ga_s2am_ard_3-2-1_55HDC_2019-04-21_final
2019-04-21 09:56:22	ga_s2am_ard_3-2-1_55HCC_2019-04-21_final
2019-04-21 09:56:34	ga_s2am_ard_3-2-1_55HDB_2019-04-21_final
2019-04-21 09:56:37	ga_s2am_ard_3-2-1_55HCB_2019-04-21_final
2019-04-21 09:56:40	ga_s2am_ard_3-2-1_55HBB_2019-04-21_final
2019-04-21 09:56:42	ga_s2am_ard_3-2-1_54HYG_2019-04-21_final
2019-04-21 09:56:48	ga_s2am_ard_3-2-1_55HDA_2019-04-21_final
2019-04-21 09:56:49	ga_s2am_ard_3-2-1_54HXG_2019-04-21_final
2019-04-21 09:56:52	ga_s2am_ard_3-2-1_55HCA_2019-04-21_final
2019-04-21 09:56:55	ga_s2am_ard_3-2-1_55HBA_2019-04-21_final
2019-04-21 09:56:56	ga_s2am_ard_3-2-1_54HYF_2019-04-21_final
2019-04-21 09:57:00	ga_s2am_ard_3-2-1_54HXF_2019-04-21_final
2019-04-21 09:57:09	ga_s2am_ard_3-2-1_55HBV_2019-04-21_final
2019-04-21 09:57:11	ga_s2am_ard_3-2-1_54HYE_2019-04-21_final
2019-04-21 09:57:11	ga_s2am_ard_3-2-1_55HDU_2019-04-21_final
2019-04-21 09:57:14	ga_s2am_ard_3-2-1_54HXE_2019-04-21_final
2019-04-21 09:57:20	ga_s2am_ard_3-2-1_55HCU_2019-04-21_final
2019-04-21 09:57:24	ga_s2am_ard_3-2-1_55HBU_2019-04-21_final
2019-04-21 09:57:25	ga_s2am_ard_3-2-1_54HYD_2019-04-21_final
2019-04-21 09:57:29	ga_s2am_ard_3-2-1_54HXD_2019-04-21_final
2019-04-21 09:57:35	ga_s2am_ard_3-2-1_55HCT_2019-04-21_final
2019-04-21 09:57:39	ga_s2am_ard_3-2-1_55HBT_2019-04-21_final
2019-04-21 09:57:40	ga_s2am_ard_3-2-1_54HYC_2019-04-21_final
2019-04-21 09:57:43	ga_s2am_ard_3-2-1_54HXC_2019-04-21_final
2019-04-21 09:57:48	ga_s2am_ard_3-2-1_54HWC_2019-04-21_final
2019-04-21 11:31:21	ga_s2am_ard_3-2-1_52LBK_2019-04-21_final
2019-04-21 11:31:24	ga_s2am_ard_3-2-1_51LZE_2019-04-21_final
2019-04-21 11:31:27	ga_s2am_ard_3-2-1_51LYE_2019-04-21_final
2019-04-21 11:31:32	ga_s2am_ard_3-2-1_52LBJ_2019-04-21_final
2019-04-21 11:31:38	ga_s2am_ard_3-2-1_51LZD_2019-04-21_final
2019-04-21 11:31:42	ga_s2am_ard_3-2-1_51LYD_2019-04-21_final
2019-04-21 11:32:03	ga_s2am_ard_3-2-1_51LWC_2019-04-21_final
2019-04-21 11:32:32	ga_s2am_ard_3-2-1_51KWA_2019-04-21_final
2019-04-21 11:32:35	ga_s2am_ard_3-2-1_51KVA_2019-04-21_final
2019-04-21 11:34:57	ga_s2am_ard_3-2-1_51JWL_2019-04-21_final
2019-04-21 11:35:01	ga_s2am_ard_3-2-1_51JVL_2019-04-21_final
2019-04-21 11:35:07	ga_s2am_ard_3-2-1_51JTL_2019-04-21_final
2019-04-21 11:35:19	ga_s2am_ard_3-2-1_51JUK_2019-04-21_final
2019-04-21 11:35:22	ga_s2am_ard_3-2-1_51JTK_2019-04-21_final
2019-04-21 11:35:29	ga_s2am_ard_3-2-1_51JVJ_2019-04-21_final
2019-04-21 11:35:36	ga_s2am_ard_3-2-1_51JTJ_2019-04-21_final
2019-04-21 11:35:40	ga_s2am_ard_3-2-1_50JQP_2019-04-21_final
2019-04-21 11:35:44	ga_s2am_ard_3-2-1_51JVH_2019-04-21_final
2019-04-21 11:35:48	ga_s2am_ard_3-2-1_51JUH_2019-04-21_final
2019-04-21 11:35:59	ga_s2am_ard_3-2-1_51JVG_2019-04-21_final
2019-04-21 11:36:02	ga_s2am_ard_3-2-1_51JUG_2019-04-21_final
2019-04-21 11:36:13	ga_s2am_ard_3-2-1_51JVF_2019-04-21_final
2019-04-21 11:36:20	ga_s2am_ard_3-2-1_51JTF_2019-04-21_final
2019-04-21 11:36:23	ga_s2am_ard_3-2-1_50JQL_2019-04-21_final
2019-04-21 11:36:26	ga_s2am_ard_3-2-1_51HVE_2019-04-21_final
2019-04-21 11:36:29	ga_s2am_ard_3-2-1_50JPL_2019-04-21_final
2019-04-21 11:36:31	ga_s2am_ard_3-2-1_51HUE_2019-04-21_final
2019-04-21 11:36:35	ga_s2am_ard_3-2-1_51HTE_2019-04-21_final
2019-04-21 11:36:37	ga_s2am_ard_3-2-1_51HVD_2019-04-21_final
2019-04-21 11:36:37	ga_s2am_ard_3-2-1_50HQK_2019-04-21_final
2019-04-21 11:36:41	ga_s2am_ard_3-2-1_50HPK_2019-04-21_final
2019-04-21 11:36:46	ga_s2am_ard_3-2-1_51HUD_2019-04-21_final
2019-04-21 11:36:49	ga_s2am_ard_3-2-1_51HTD_2019-04-21_final
2019-04-21 11:36:51	ga_s2am_ard_3-2-1_50HQJ_2019-04-21_final
2019-04-21 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2019-04-21_final
2019-04-21 11:37:00	ga_s2am_ard_3-2-1_51HUC_2019-04-21_final
2019-04-21 11:37:10	ga_s2am_ard_3-2-1_50HPH_2019-04-21_final
2019-04-21 11:37:15	ga_s2am_ard_3-2-1_51HUB_2019-04-21_final.stac-item
2019-04-21 11:37:18	ga_s2am_ard_3-2-1_51HTB_2019-04-21_final.stac-item
2019-04-21 11:37:20	ga_s2am_ard_3-2-1_50HQG_2019-04-21_final.stac-item
2019-04-21 11:37:24	ga_s2am_ard_3-2-1_50HPG_2019-04-21_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

Other products

All years