Search ga_s2am_ard_3 on 27th March 2022

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 s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s2cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s2cloudless 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
2022-03-27 09:23:42	ga_s2am_ard_3-2-1_56JNT_2022-03-26_final
2022-03-27 09:23:57	ga_s2am_ard_3-2-1_56JNS_2022-03-26_final
2022-03-27 09:24:12	ga_s2am_ard_3-2-1_56JNR_2022-03-26_final
2022-03-27 09:24:26	ga_s2am_ard_3-2-1_56JNQ_2022-03-26_final
2022-03-27 09:24:31	ga_s2am_ard_3-2-1_56JMQ_2022-03-26_final
2022-03-27 09:24:41	ga_s2am_ard_3-2-1_56JNP_2022-03-26_final
2022-03-27 09:24:44	ga_s2am_ard_3-2-1_56JMP_2022-03-26_final
2022-03-27 09:24:55	ga_s2am_ard_3-2-1_56JNN_2022-03-26_final
2022-03-27 09:24:58	ga_s2am_ard_3-2-1_56JMN_2022-03-26_final
2022-03-27 09:25:10	ga_s2am_ard_3-2-1_56JNM_2022-03-26_final
2022-03-27 09:25:13	ga_s2am_ard_3-2-1_56JMM_2022-03-26_final
2022-03-27 09:25:24	ga_s2am_ard_3-2-1_56JNL_2022-03-26_final
2022-03-27 09:25:28	ga_s2am_ard_3-2-1_56JML_2022-03-26_final
2022-03-27 09:25:32	ga_s2am_ard_3-2-1_56JLL_2022-03-26_final
2022-03-27 09:25:42	ga_s2am_ard_3-2-1_56HMK_2022-03-26_final
2022-03-27 09:25:45	ga_s2am_ard_3-2-1_56HLK_2022-03-26_final
2022-03-27 09:25:57	ga_s2am_ard_3-2-1_56HMJ_2022-03-26_final
2022-03-27 09:26:00	ga_s2am_ard_3-2-1_56HLJ_2022-03-26_final
2022-03-27 09:26:15	ga_s2am_ard_3-2-1_56HLH_2022-03-26_final
2022-03-27 09:26:29	ga_s2am_ard_3-2-1_56HLG_2022-03-26_final
2022-03-27 09:26:34	ga_s2am_ard_3-2-1_56HKG_2022-03-26_final
2022-03-27 09:26:47	ga_s2am_ard_3-2-1_56HKF_2022-03-26_final
2022-03-27 09:27:03	ga_s2am_ard_3-2-1_55HGV_2022-03-26_final
2022-03-27 09:27:17	ga_s2am_ard_3-2-1_55HGU_2022-03-26_final
2022-03-27 09:27:52	ga_s2am_ard_3-2-1_55HFS_2022-03-26_final
2022-03-27 09:28:04	ga_s2am_ard_3-2-1_55GFR_2022-03-26_final
2022-03-27 09:28:19	ga_s2am_ard_3-2-1_55GFQ_2022-03-26_final
2022-03-27 09:28:33	ga_s2am_ard_3-2-1_55GFP_2022-03-26_final
2022-03-27 09:28:40	ga_s2am_ard_3-2-1_55GEP_2022-03-26_final
2022-03-27 09:28:47	ga_s2am_ard_3-2-1_55GFN_2022-03-26_final
2022-03-27 09:28:51	ga_s2am_ard_3-2-1_55GEN_2022-03-26_final
2022-03-27 09:29:03	ga_s2am_ard_3-2-1_55GEM_2022-03-26_final
2022-03-27 11:00:17	ga_s2am_ard_3-2-1_53LKJ_2022-03-27_final
2022-03-27 11:00:25	ga_s2am_ard_3-2-1_53LMH_2022-03-27_final
2022-03-27 11:00:28	ga_s2am_ard_3-2-1_53LLH_2022-03-27_final
2022-03-27 11:00:31	ga_s2am_ard_3-2-1_53LKH_2022-03-27_final
2022-03-27 11:00:33	ga_s2am_ard_3-2-1_52LHN_2022-03-27_final
2022-03-27 11:00:39	ga_s2am_ard_3-2-1_53LMG_2022-03-27_final
2022-03-27 11:00:40	ga_s2am_ard_3-2-1_52LGN_2022-03-27_final
2022-03-27 11:00:43	ga_s2am_ard_3-2-1_53LLG_2022-03-27_final
2022-03-27 11:00:46	ga_s2am_ard_3-2-1_53LKG_2022-03-27_final
2022-03-27 11:00:47	ga_s2am_ard_3-2-1_52LHM_2022-03-27_final
2022-03-27 11:00:51	ga_s2am_ard_3-2-1_53LMF_2022-03-27_final
2022-03-27 11:00:51	ga_s2am_ard_3-2-1_52LGM_2022-03-27_final
2022-03-27 11:02:06	ga_s2am_ard_3-2-1_52KFG_2022-03-27_final
2022-03-27 11:02:18	ga_s2am_ard_3-2-1_52KGF_2022-03-27_final
2022-03-27 11:02:21	ga_s2am_ard_3-2-1_52KFF_2022-03-27_final
2022-03-27 11:02:32	ga_s2am_ard_3-2-1_52KGE_2022-03-27_final
2022-03-27 11:02:36	ga_s2am_ard_3-2-1_52KFE_2022-03-27_final
2022-03-27 11:02:54	ga_s2am_ard_3-2-1_52KED_2022-03-27_final
2022-03-27 11:03:34	ga_s2am_ard_3-2-1_52KFA_2022-03-27_final
2022-03-27 11:03:48	ga_s2am_ard_3-2-1_52KFV_2022-03-27_final
2022-03-27 11:03:56	ga_s2am_ard_3-2-1_52KDV_2022-03-27_final
2022-03-27 11:03:59	ga_s2am_ard_3-2-1_52KGU_2022-03-27_final
2022-03-27 11:04:03	ga_s2am_ard_3-2-1_52KFU_2022-03-27_final
2022-03-27 11:04:06	ga_s2am_ard_3-2-1_52KEU_2022-03-27_final
2022-03-27 11:04:09	ga_s2am_ard_3-2-1_52KDU_2022-03-27_final
2022-03-27 11:04:13	ga_s2am_ard_3-2-1_52JGT_2022-03-27_final
2022-03-27 11:04:17	ga_s2am_ard_3-2-1_52JFT_2022-03-27_final
2022-03-27 11:04:21	ga_s2am_ard_3-2-1_52JET_2022-03-27_final
2022-03-27 11:04:24	ga_s2am_ard_3-2-1_52JDT_2022-03-27_final
2022-03-27 11:04:27	ga_s2am_ard_3-2-1_52JGS_2022-03-27_final
2022-03-27 11:04:31	ga_s2am_ard_3-2-1_52JFS_2022-03-27_final
2022-03-27 11:04:35	ga_s2am_ard_3-2-1_52JES_2022-03-27_final
2022-03-27 11:04:38	ga_s2am_ard_3-2-1_52JGR_2022-03-27_final
2022-03-27 11:04:38	ga_s2am_ard_3-2-1_52JDS_2022-03-27_final
2022-03-27 11:04:46	ga_s2am_ard_3-2-1_52JFR_2022-03-27_final
2022-03-27 11:04:50	ga_s2am_ard_3-2-1_52JER_2022-03-27_final
2022-03-27 11:04:53	ga_s2am_ard_3-2-1_52JDR_2022-03-27_final
2022-03-27 11:04:58	ga_s2am_ard_3-2-1_52JCR_2022-03-27_final
2022-03-27 11:05:00	ga_s2am_ard_3-2-1_52JFQ_2022-03-27_final
2022-03-27 11:05:04	ga_s2am_ard_3-2-1_52JEQ_2022-03-27_final
2022-03-27 11:05:07	ga_s2am_ard_3-2-1_52JDQ_2022-03-27_final
2022-03-27 11:05:11	ga_s2am_ard_3-2-1_52JCQ_2022-03-27_final
2022-03-27 11:05:15	ga_s2am_ard_3-2-1_52JFP_2022-03-27_final
2022-03-27 11:05:19	ga_s2am_ard_3-2-1_52JEP_2022-03-27_final
2022-03-27 11:05:22	ga_s2am_ard_3-2-1_52JDP_2022-03-27_final
2022-03-27 11:05:25	ga_s2am_ard_3-2-1_52JCP_2022-03-27_final
2022-03-27 11:05:29	ga_s2am_ard_3-2-1_52JFN_2022-03-27_final
2022-03-27 11:05:33	ga_s2am_ard_3-2-1_52JEN_2022-03-27_final
2022-03-27 11:05:36	ga_s2am_ard_3-2-1_52JDN_2022-03-27_final
2022-03-27 11:05:38	ga_s2am_ard_3-2-1_52JCN_2022-03-27_final
2022-03-27 11:05:39	ga_s2am_ard_3-2-1_52JFM_2022-03-27_final
2022-03-27 11:05:41	ga_s2am_ard_3-2-1_52JEM_2022-03-27_final
2022-03-27 11:05:41	ga_s2am_ard_3-2-1_52JEN_2022-03-27_final
2022-03-27 11:05:43	ga_s2am_ard_3-2-1_52JDM_2022-03-27_final
2022-03-27 11:05:43	ga_s2am_ard_3-2-1_52JDN_2022-03-27_final
2022-03-27 11:05:43	ga_s2am_ard_3-2-1_52JFM_2022-03-27_final
2022-03-27 11:05:44	ga_s2am_ard_3-2-1_52JCN_2022-03-27_final
2022-03-27 11:05:48	ga_s2am_ard_3-2-1_52JEM_2022-03-27_final
2022-03-27 11:05:51	ga_s2am_ard_3-2-1_52JDM_2022-03-27_final
2022-03-27 11:05:55	ga_s2am_ard_3-2-1_52JCM_2022-03-27_final
2022-03-27 11:06:01	ga_s2am_ard_3-2-1_52JBM_2022-03-27_final
2022-03-27 11:06:02	ga_s2am_ard_3-2-1_52JEL_2022-03-27_final
2022-03-27 11:06:06	ga_s2am_ard_3-2-1_52JDL_2022-03-27_final
2022-03-27 11:06:09	ga_s2am_ard_3-2-1_52JCL_2022-03-27_final
2022-03-27 11:06:13	ga_s2am_ard_3-2-1_52JBL_2022-03-27_final
2022-03-27 11:06:20	ga_s2am_ard_3-2-1_52HDK_2022-03-27_final
2022-03-27 11:06:24	ga_s2am_ard_3-2-1_52HCK_2022-03-27_final
2022-03-27 11:06:26	ga_s2am_ard_3-2-1_52HBK_2022-03-27_final

Return to ga_s2am_ard_3 on 27th March 2022 overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

GA Collection 3

USGS Products

Collection 2 NBAR

Collection 2 NBAR Tiled

Pixel Quality

Collection 2 Level1

Tidal

Water Observations

Fractional Cover

Sentinel 2

Ingested Pixel Quality

Geomedians

TMAD

Telemetry data

Summary

Other Products

2022

March

27th