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
2021-05-19 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-05-19_final
2021-05-19 12:05:23	ga_s2am_ard_3-2-1_50JLQ_2021-05-19_final
2021-05-19 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-05-19_final
2021-05-19 12:05:36	ga_s2am_ard_3-2-1_50JLP_2021-05-19_final
2021-05-19 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-05-19_final
2021-05-19 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2021-05-19_final
2021-05-19 12:05:45	ga_s2am_ard_3-2-1_50JKP_2021-05-19_final
2021-05-19 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2021-05-19_final
2021-05-19 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-05-19_final
2021-05-19 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-05-19_final
2021-05-19 12:05:58	ga_s2am_ard_3-2-1_49JGH_2021-05-19_final.stac-item
2021-05-19 12:06:04	ga_s2am_ard_3-2-1_50JLM_2021-05-19_final
2021-05-19 12:06:10	ga_s2am_ard_3-2-1_50JKM_2021-05-19_final
2021-05-20 09:51:19	ga_s2am_ard_3-2-1_55LFC_2021-05-20_final
2021-05-20 09:51:48	ga_s2am_ard_3-2-1_55KFA_2021-05-20_final
2021-05-20 09:52:06	ga_s2am_ard_3-2-1_55KEV_2021-05-20_final
2021-05-20 09:54:17	ga_s2am_ard_3-2-1_55JEL_2021-05-20_final
2021-05-20 09:54:20	ga_s2am_ard_3-2-1_55JDL_2021-05-20_final
2021-05-20 09:54:23	ga_s2am_ard_3-2-1_55JCL_2021-05-20_final
2021-05-20 09:54:31	ga_s2am_ard_3-2-1_55JEK_2021-05-20_final
2021-05-20 09:54:35	ga_s2am_ard_3-2-1_55JDK_2021-05-20_final
2021-05-20 09:54:41	ga_s2am_ard_3-2-1_55JFJ_2021-05-20_final
2021-05-20 09:54:46	ga_s2am_ard_3-2-1_55JEJ_2021-05-20_final
2021-05-20 09:54:49	ga_s2am_ard_3-2-1_55JDJ_2021-05-20_final
2021-05-20 09:54:51	ga_s2am_ard_3-2-1_55JFH_2021-05-20_final
2021-05-20 09:54:53	ga_s2am_ard_3-2-1_55JCJ_2021-05-20_final
2021-05-20 09:55:00	ga_s2am_ard_3-2-1_55JEH_2021-05-20_final
2021-05-20 09:55:04	ga_s2am_ard_3-2-1_55JDH_2021-05-20_final
2021-05-20 09:55:07	ga_s2am_ard_3-2-1_55JCH_2021-05-20_final
2021-05-20 09:55:11	ga_s2am_ard_3-2-1_55JBH_2021-05-20_final
2021-05-20 09:55:21	ga_s2am_ard_3-2-1_55JCG_2021-05-20_final
2021-05-20 09:55:24	ga_s2am_ard_3-2-1_55JBG_2021-05-20_final
2021-05-20 09:55:29	ga_s2am_ard_3-2-1_55JEF_2021-05-20_final
2021-05-20 09:55:33	ga_s2am_ard_3-2-1_55JDF_2021-05-20_final
2021-05-20 09:55:39	ga_s2am_ard_3-2-1_55JBF_2021-05-20_final
2021-05-20 09:55:43	ga_s2am_ard_3-2-1_55HEE_2021-05-20_final
2021-05-20 09:55:47	ga_s2am_ard_3-2-1_55HDE_2021-05-20_final
2021-05-20 09:55:51	ga_s2am_ard_3-2-1_55HCE_2021-05-20_final
2021-05-20 09:55:54	ga_s2am_ard_3-2-1_55HBE_2021-05-20_final
2021-05-20 09:56:05	ga_s2am_ard_3-2-1_55HCD_2021-05-20_final
2021-05-20 09:56:16	ga_s2am_ard_3-2-1_55HDC_2021-05-20_final
2021-05-20 09:56:23	ga_s2am_ard_3-2-1_55HBC_2021-05-20_final
2021-05-20 09:56:25	ga_s2am_ard_3-2-1_54HYH_2021-05-20_final
2021-05-20 09:56:46	ga_s2am_ard_3-2-1_54HXG_2021-05-20_final
2021-05-20 09:56:49	ga_s2am_ard_3-2-1_55HCA_2021-05-20_final
2021-05-20 09:56:54	ga_s2am_ard_3-2-1_54HYF_2021-05-20_final
2021-05-20 09:56:58	ga_s2am_ard_3-2-1_54HXF_2021-05-20_final
2021-05-20 09:56:58	ga_s2am_ard_3-2-1_55HDV_2021-05-20_final
2021-05-20 09:57:03	ga_s2am_ard_3-2-1_55HCV_2021-05-20_final
2021-05-20 09:57:07	ga_s2am_ard_3-2-1_55HBV_2021-05-20_final
2021-05-20 09:57:08	ga_s2am_ard_3-2-1_54HYE_2021-05-20_final
2021-05-20 09:57:12	ga_s2am_ard_3-2-1_54HXE_2021-05-20_final
2021-05-20 09:57:21	ga_s2am_ard_3-2-1_55HBU_2021-05-20_final
2021-05-20 09:57:26	ga_s2am_ard_3-2-1_54HXD_2021-05-20_final
2021-05-20 09:57:36	ga_s2am_ard_3-2-1_55HBT_2021-05-20_final
2021-05-20 09:57:37	ga_s2am_ard_3-2-1_54HYC_2021-05-20_final
2021-05-20 09:57:41	ga_s2am_ard_3-2-1_54HXC_2021-05-20_final
2021-05-20 09:58:20	ga_s2am_ard_3-2-1_55GBQ_2021-05-20_final.stac-item
2021-05-20 09:58:24	ga_s2am_ard_3-2-1_55GCP_2021-05-20_final
2021-05-20 11:31:18	ga_s2am_ard_3-2-1_52LBK_2021-05-20_final
2021-05-20 11:31:21	ga_s2am_ard_3-2-1_51LZE_2021-05-20_final
2021-05-20 11:31:24	ga_s2am_ard_3-2-1_51LYE_2021-05-20_final
2021-05-20 11:31:29	ga_s2am_ard_3-2-1_52LBJ_2021-05-20_final
2021-05-20 11:31:39	ga_s2am_ard_3-2-1_51LYD_2021-05-20_final
2021-05-20 11:31:57	ga_s2am_ard_3-2-1_51LXC_2021-05-20_final
2021-05-20 11:32:26	ga_s2am_ard_3-2-1_51KXA_2021-05-20_final
2021-05-20 11:32:29	ga_s2am_ard_3-2-1_51KWA_2021-05-20_final
2021-05-20 11:32:32	ga_s2am_ard_3-2-1_51KVA_2021-05-20_final
2021-05-20 11:32:40	ga_s2am_ard_3-2-1_51KXV_2021-05-20_final
2021-05-20 11:32:47	ga_s2am_ard_3-2-1_51KVV_2021-05-20_final
2021-05-20 11:33:09	ga_s2am_ard_3-2-1_51KXT_2021-05-20_final
2021-05-20 11:33:22	ga_s2am_ard_3-2-1_51KUT_2021-05-20_final
2021-05-20 11:34:55	ga_s2am_ard_3-2-1_51JWL_2021-05-20_final
2021-05-20 11:34:58	ga_s2am_ard_3-2-1_51JVL_2021-05-20_final
2021-05-20 11:35:01	ga_s2am_ard_3-2-1_51JUL_2021-05-20_final
2021-05-20 11:35:08	ga_s2am_ard_3-2-1_51JWK_2021-05-20_final
2021-05-20 11:35:12	ga_s2am_ard_3-2-1_51JVK_2021-05-20_final
2021-05-20 11:35:16	ga_s2am_ard_3-2-1_51JUK_2021-05-20_final
2021-05-20 11:35:19	ga_s2am_ard_3-2-1_51JWJ_2021-05-20_final
2021-05-20 11:35:27	ga_s2am_ard_3-2-1_51JVJ_2021-05-20_final
2021-05-20 11:35:34	ga_s2am_ard_3-2-1_51JTJ_2021-05-20_final
2021-05-20 11:35:37	ga_s2am_ard_3-2-1_50JQP_2021-05-20_final
2021-05-20 11:35:41	ga_s2am_ard_3-2-1_51JVH_2021-05-20_final
2021-05-20 11:35:45	ga_s2am_ard_3-2-1_51JUH_2021-05-20_final
2021-05-20 11:35:48	ga_s2am_ard_3-2-1_51JTH_2021-05-20_final
2021-05-20 11:35:51	ga_s2am_ard_3-2-1_50JQN_2021-05-20_final
2021-05-20 11:36:00	ga_s2am_ard_3-2-1_51JUG_2021-05-20_final
2021-05-20 11:36:03	ga_s2am_ard_3-2-1_51JTG_2021-05-20_final
2021-05-20 11:36:05	ga_s2am_ard_3-2-1_50JQM_2021-05-20_final
2021-05-20 11:36:17	ga_s2am_ard_3-2-1_51JTF_2021-05-20_final
2021-05-20 11:36:24	ga_s2am_ard_3-2-1_51HVE_2021-05-20_final
2021-05-20 11:36:27	ga_s2am_ard_3-2-1_50JPL_2021-05-20_final
2021-05-20 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-05-20_final
2021-05-20 11:36:32	ga_s2am_ard_3-2-1_51HTE_2021-05-20_final
2021-05-20 11:36:38	ga_s2am_ard_3-2-1_50HPK_2021-05-20_final
2021-05-20 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-05-20_final
2021-05-20 11:36:52	ga_s2am_ard_3-2-1_50HPJ_2021-05-20_final
2021-05-20 11:37:01	ga_s2am_ard_3-2-1_51HTC_2021-05-20_final
2021-05-20 11:37:03	ga_s2am_ard_3-2-1_50HQH_2021-05-20_final
2021-05-20 11:37:11	ga_s2am_ard_3-2-1_50HQH_2021-05-20_final

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