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
2020-03-26 09:54:47	ga_s2am_ard_3-2-1_55JFH_2020-03-26_final
2020-03-26 09:55:03	ga_s2am_ard_3-2-1_55JCH_2020-03-26_final
2020-03-26 09:55:20	ga_s2am_ard_3-2-1_55JBG_2020-03-26_final
2020-03-26 09:55:25	ga_s2am_ard_3-2-1_55JEF_2020-03-26_final
2020-03-26 09:55:29	ga_s2am_ard_3-2-1_55JDF_2020-03-26_final
2020-03-26 09:55:50	ga_s2am_ard_3-2-1_55HED_2020-03-26_final
2020-03-26 09:55:57	ga_s2am_ard_3-2-1_55HDD_2020-03-26_final
2020-03-26 09:56:01	ga_s2am_ard_3-2-1_55HCD_2020-03-26_final
2020-03-26 09:56:04	ga_s2am_ard_3-2-1_55HBD_2020-03-26_final
2020-03-26 09:56:12	ga_s2am_ard_3-2-1_55HDC_2020-03-26_final
2020-03-26 09:56:16	ga_s2am_ard_3-2-1_55HCC_2020-03-26_final
2020-03-26 09:56:19	ga_s2am_ard_3-2-1_55HBC_2020-03-26_final
2020-03-26 09:56:27	ga_s2am_ard_3-2-1_55HDB_2020-03-26_final
2020-03-26 09:56:30	ga_s2am_ard_3-2-1_55HCB_2020-03-26_final
2020-03-26 09:56:33	ga_s2am_ard_3-2-1_55HBB_2020-03-26_final
2020-03-26 09:56:35	ga_s2am_ard_3-2-1_54HYG_2020-03-26_final
2020-03-26 09:56:41	ga_s2am_ard_3-2-1_55HDA_2020-03-26_final
2020-03-26 09:56:42	ga_s2am_ard_3-2-1_54HXG_2020-03-26_final
2020-03-26 09:56:54	ga_s2am_ard_3-2-1_55HDV_2020-03-26_final
2020-03-26 09:57:03	ga_s2am_ard_3-2-1_55HBV_2020-03-26_final
2020-03-26 09:57:04	ga_s2am_ard_3-2-1_54HYE_2020-03-26_final
2020-03-26 09:57:14	ga_s2am_ard_3-2-1_55HCU_2020-03-26_final
2020-03-26 09:57:17	ga_s2am_ard_3-2-1_55HBU_2020-03-26_final
2020-03-26 09:57:18	ga_s2am_ard_3-2-1_54HYD_2020-03-26_final
2020-03-26 09:57:22	ga_s2am_ard_3-2-1_54HXD_2020-03-26_final
2020-03-26 09:57:28	ga_s2am_ard_3-2-1_55HCT_2020-03-26_final
2020-03-26 09:57:32	ga_s2am_ard_3-2-1_55HBT_2020-03-26_final
2020-03-26 09:57:33	ga_s2am_ard_3-2-1_54HYC_2020-03-26_final
2020-03-26 09:57:37	ga_s2am_ard_3-2-1_54HXC_2020-03-26_final
2020-03-26 09:57:42	ga_s2am_ard_3-2-1_54HWC_2020-03-26_final
2020-03-26 09:57:43	ga_s2am_ard_3-2-1_55HCS_2020-03-26_final
2020-03-26 09:57:46	ga_s2am_ard_3-2-1_55HBS_2020-03-26_final
2020-03-26 11:31:14	ga_s2am_ard_3-2-1_52LBK_2020-03-26_final
2020-03-26 11:31:17	ga_s2am_ard_3-2-1_51LZE_2020-03-26_final
2020-03-26 11:31:20	ga_s2am_ard_3-2-1_51LYE_2020-03-26_final
2020-03-26 11:31:25	ga_s2am_ard_3-2-1_52LBJ_2020-03-26_final
2020-03-26 11:31:31	ga_s2am_ard_3-2-1_51LZD_2020-03-26_final
2020-03-26 11:31:35	ga_s2am_ard_3-2-1_51LYD_2020-03-26_final
2020-03-26 11:31:38	ga_s2am_ard_3-2-1_51LXD_2020-03-26_final
2020-03-26 11:31:45	ga_s2am_ard_3-2-1_51LZC_2020-03-26_final
2020-03-26 11:31:53	ga_s2am_ard_3-2-1_51LXC_2020-03-26_final
2020-03-26 11:31:55	ga_s2am_ard_3-2-1_51KZB_2020-03-26_final
2020-03-26 11:31:56	ga_s2am_ard_3-2-1_51LWC_2020-03-26_final
2020-03-26 11:32:04	ga_s2am_ard_3-2-1_51KYB_2020-03-26_final
2020-03-26 11:32:07	ga_s2am_ard_3-2-1_51KXB_2020-03-26_final
2020-03-26 11:32:11	ga_s2am_ard_3-2-1_51KWB_2020-03-26_final
2020-03-26 11:32:16	ga_s2am_ard_3-2-1_51KVB_2020-03-26_final
2020-03-26 11:32:18	ga_s2am_ard_3-2-1_51KYA_2020-03-26_final
2020-03-26 11:32:22	ga_s2am_ard_3-2-1_51KXA_2020-03-26_final
2020-03-26 11:32:25	ga_s2am_ard_3-2-1_51KWA_2020-03-26_final
2020-03-26 11:32:28	ga_s2am_ard_3-2-1_51KVA_2020-03-26_final
2020-03-26 11:32:36	ga_s2am_ard_3-2-1_51KXV_2020-03-26_final
2020-03-26 11:32:40	ga_s2am_ard_3-2-1_51KWV_2020-03-26_final
2020-03-26 11:32:43	ga_s2am_ard_3-2-1_51KVV_2020-03-26_final
2020-03-26 11:32:47	ga_s2am_ard_3-2-1_51KYU_2020-03-26_final
2020-03-26 11:33:23	ga_s2am_ard_3-2-1_51KWS_2020-03-26_final
2020-03-26 11:33:27	ga_s2am_ard_3-2-1_51KVS_2020-03-26_final
2020-03-26 11:33:34	ga_s2am_ard_3-2-1_51KXR_2020-03-26_final
2020-03-26 11:33:38	ga_s2am_ard_3-2-1_51KWR_2020-03-26_final
2020-03-26 11:33:41	ga_s2am_ard_3-2-1_51KVR_2020-03-26_final
2020-03-26 11:33:44	ga_s2am_ard_3-2-1_51KUR_2020-03-26_final
2020-03-26 11:34:02	ga_s2am_ard_3-2-1_51KXP_2020-03-26_final
2020-03-26 11:34:07	ga_s2am_ard_3-2-1_51KWP_2020-03-26_final
2020-03-26 11:34:10	ga_s2am_ard_3-2-1_51KVP_2020-03-26_final
2020-03-26 11:34:12	ga_s2am_ard_3-2-1_51JXN_2020-03-26_final
2020-03-26 11:34:14	ga_s2am_ard_3-2-1_51KUP_2020-03-26_final
2020-03-26 11:34:21	ga_s2am_ard_3-2-1_51JWN_2020-03-26_final
2020-03-26 11:34:25	ga_s2am_ard_3-2-1_51JVN_2020-03-26_final
2020-03-26 11:34:43	ga_s2am_ard_3-2-1_51JUM_2020-03-26_final
2020-03-26 11:35:00	ga_s2am_ard_3-2-1_51JTL_2020-03-26_final
2020-03-26 11:35:41	ga_s2am_ard_3-2-1_51JUH_2020-03-26_final
2020-03-26 11:35:52	ga_s2am_ard_3-2-1_51JVG_2020-03-26_final
2020-03-26 11:36:01	ga_s2am_ard_3-2-1_50JQM_2020-03-26_final
2020-03-26 11:36:06	ga_s2am_ard_3-2-1_51JVF_2020-03-26_final
2020-03-26 11:36:30	ga_s2am_ard_3-2-1_51HVD_2020-03-26_final
2020-03-26 11:36:39	ga_s2am_ard_3-2-1_51HUD_2020-03-26_final
2020-03-26 11:36:43	ga_s2am_ard_3-2-1_51HTD_2020-03-26_final
2020-03-26 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2020-03-26_final
2020-03-26 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-03-26_final
2020-03-26 11:36:54	ga_s2am_ard_3-2-1_51HUC_2020-03-26_final
2020-03-26 11:37:03	ga_s2am_ard_3-2-1_50HPH_2020-03-26_final
2020-03-26 11:37:08	ga_s2am_ard_3-2-1_51HUB_2020-03-26_final.stac-item
2020-03-26 11:37:12	ga_s2am_ard_3-2-1_51HTB_2020-03-26_final.stac-item
2020-03-26 11:37:17	ga_s2am_ard_3-2-1_50HPG_2020-03-26_final.stac-item
2020-03-26 11:37:23	ga_s2am_ard_3-2-1_50HNG_2020-03-26_final.stac-item
2020-03-27 09:23:36	ga_s2am_ard_3-2-1_56JNT_2020-03-26_final
2020-03-27 09:24:05	ga_s2am_ard_3-2-1_56JNR_2020-03-26_final.stac-item
2020-03-27 09:24:34	ga_s2am_ard_3-2-1_56JNP_2020-03-26_final.stac-item
2020-03-27 09:25:18	ga_s2am_ard_3-2-1_56JNL_2020-03-26_final
2020-03-27 09:25:21	ga_s2am_ard_3-2-1_56JML_2020-03-26_final
2020-03-27 09:25:50	ga_s2am_ard_3-2-1_56HMJ_2020-03-26_final
2020-03-27 09:25:53	ga_s2am_ard_3-2-1_56HLJ_2020-03-26_final
2020-03-27 09:26:08	ga_s2am_ard_3-2-1_56HLH_2020-03-26_final.stac-item
2020-03-27 09:26:23	ga_s2am_ard_3-2-1_56HLG_2020-03-26_final.stac-item
2020-03-27 09:26:28	ga_s2am_ard_3-2-1_56HKG_2020-03-26_final
2020-03-27 09:26:57	ga_s2am_ard_3-2-1_55HGV_2020-03-26_final
2020-03-27 09:27:10	ga_s2am_ard_3-2-1_55HGU_2020-03-26_final.stac-item
2020-03-27 09:27:45	ga_s2am_ard_3-2-1_55HFS_2020-03-26_final.stac-item
2020-03-27 09:28:41	ga_s2am_ard_3-2-1_55GFN_2020-03-26_final
2020-03-27 09:28:45	ga_s2am_ard_3-2-1_55GEN_2020-03-26_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