Search ga_s2am_ard_3 on 12th 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
2022-03-12 10:10:44	ga_s2am_ard_3-2-1_54LZL_2022-03-12_final
2022-03-12 10:11:04	ga_s2am_ard_3-2-1_54LYK_2022-03-12_final
2022-03-12 10:11:13	ga_s2am_ard_3-2-1_54LZJ_2022-03-12_final
2022-03-12 10:11:17	ga_s2am_ard_3-2-1_54LYJ_2022-03-12_final
2022-03-12 10:11:28	ga_s2am_ard_3-2-1_54LZH_2022-03-12_final
2022-03-12 10:11:31	ga_s2am_ard_3-2-1_54LYH_2022-03-12_final
2022-03-12 10:11:42	ga_s2am_ard_3-2-1_54KZG_2022-03-12_final
2022-03-12 10:11:46	ga_s2am_ard_3-2-1_54KYG_2022-03-12_final
2022-03-12 10:11:57	ga_s2am_ard_3-2-1_54KZF_2022-03-12_final
2022-03-12 10:12:00	ga_s2am_ard_3-2-1_54KYF_2022-03-12_final
2022-03-12 10:12:06	ga_s2am_ard_3-2-1_54KXF_2022-03-12_final
2022-03-12 10:12:11	ga_s2am_ard_3-2-1_54KZE_2022-03-12_final
2022-03-12 10:12:15	ga_s2am_ard_3-2-1_54KYE_2022-03-12_final
2022-03-12 10:12:18	ga_s2am_ard_3-2-1_54KXE_2022-03-12_final
2022-03-12 10:12:26	ga_s2am_ard_3-2-1_54KZD_2022-03-12_final
2022-03-12 10:12:29	ga_s2am_ard_3-2-1_54KYD_2022-03-12_final
2022-03-12 10:12:32	ga_s2am_ard_3-2-1_54KXD_2022-03-12_final
2022-03-12 10:12:44	ga_s2am_ard_3-2-1_54KYC_2022-03-12_final
2022-03-12 10:12:47	ga_s2am_ard_3-2-1_54KXC_2022-03-12_final
2022-03-12 10:12:54	ga_s2am_ard_3-2-1_54KZB_2022-03-12_final
2022-03-12 10:12:58	ga_s2am_ard_3-2-1_54KYB_2022-03-12_final
2022-03-12 10:13:02	ga_s2am_ard_3-2-1_54KXB_2022-03-12_final
2022-03-12 10:13:08	ga_s2am_ard_3-2-1_54KWB_2022-03-12_final
2022-03-12 10:13:09	ga_s2am_ard_3-2-1_54KZA_2022-03-12_final
2022-03-12 10:13:13	ga_s2am_ard_3-2-1_54KYA_2022-03-12_final
2022-03-12 10:13:16	ga_s2am_ard_3-2-1_54KXA_2022-03-12_final
2022-03-12 10:13:20	ga_s2am_ard_3-2-1_54KWA_2022-03-12_final
2022-03-12 10:13:23	ga_s2am_ard_3-2-1_54KZV_2022-03-12_final
2022-03-12 10:13:27	ga_s2am_ard_3-2-1_54KYV_2022-03-12_final
2022-03-12 10:13:31	ga_s2am_ard_3-2-1_54KXV_2022-03-12_final
2022-03-12 10:13:34	ga_s2am_ard_3-2-1_54KWV_2022-03-12_final
2022-03-12 10:13:37	ga_s2am_ard_3-2-1_54KZU_2022-03-12_final
2022-03-12 10:13:41	ga_s2am_ard_3-2-1_54KYU_2022-03-12_final
2022-03-12 10:13:45	ga_s2am_ard_3-2-1_54KXU_2022-03-12_final
2022-03-12 10:13:49	ga_s2am_ard_3-2-1_54KWU_2022-03-12_final
2022-03-12 10:13:49	ga_s2am_ard_3-2-1_54JZT_2022-03-12_final
2022-03-12 10:13:56	ga_s2am_ard_3-2-1_54JYT_2022-03-12_final
2022-03-12 10:14:00	ga_s2am_ard_3-2-1_54JXT_2022-03-12_final
2022-03-12 10:14:03	ga_s2am_ard_3-2-1_54JWT_2022-03-12_final
2022-03-12 10:14:10	ga_s2am_ard_3-2-1_54JVT_2022-03-12_final
2022-03-12 10:14:10	ga_s2am_ard_3-2-1_54JYS_2022-03-12_final
2022-03-12 10:14:14	ga_s2am_ard_3-2-1_54JXS_2022-03-12_final
2022-03-12 10:14:17	ga_s2am_ard_3-2-1_54JWS_2022-03-12_final
2022-03-12 10:14:21	ga_s2am_ard_3-2-1_54JVS_2022-03-12_final
2022-03-12 10:14:25	ga_s2am_ard_3-2-1_54JYR_2022-03-12_final
2022-03-12 10:14:29	ga_s2am_ard_3-2-1_54JXR_2022-03-12_final
2022-03-12 10:14:32	ga_s2am_ard_3-2-1_54JWR_2022-03-12_final
2022-03-12 10:14:35	ga_s2am_ard_3-2-1_54JVR_2022-03-12_final
2022-03-12 10:14:39	ga_s2am_ard_3-2-1_54JYQ_2022-03-12_final
2022-03-12 10:17:30	ga_s2am_ard_3-2-1_54HVD_2022-03-12_final
2022-03-12 10:17:33	ga_s2am_ard_3-2-1_54HUD_2022-03-12_final
2022-03-12 10:17:42	ga_s2am_ard_3-2-1_54HVC_2022-03-12_final
2022-03-12 11:51:17	ga_s2am_ard_3-2-1_51LUF_2022-03-12_final
2022-03-12 11:51:31	ga_s2am_ard_3-2-1_51LUE_2022-03-12_final
2022-03-12 11:51:42	ga_s2am_ard_3-2-1_51LUD_2022-03-12_final
2022-03-12 11:52:24	ga_s2am_ard_3-2-1_50KQG_2022-03-12_final
2022-03-12 11:52:38	ga_s2am_ard_3-2-1_50KQF_2022-03-12_final
2022-03-12 11:52:41	ga_s2am_ard_3-2-1_50KPF_2022-03-12_final
2022-03-12 11:52:53	ga_s2am_ard_3-2-1_50KQE_2022-03-12_final
2022-03-12 11:52:58	ga_s2am_ard_3-2-1_51KTU_2022-03-12_final
2022-03-12 11:53:03	ga_s2am_ard_3-2-1_50KRD_2022-03-12_final
2022-03-12 11:53:07	ga_s2am_ard_3-2-1_50KQD_2022-03-12_final
2022-03-12 11:53:11	ga_s2am_ard_3-2-1_50KPD_2022-03-12_final
2022-03-12 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-03-12_final
2022-03-12 11:53:21	ga_s2am_ard_3-2-1_50KQC_2022-03-12_final
2022-03-12 11:53:25	ga_s2am_ard_3-2-1_50KPC_2022-03-12_final
2022-03-12 11:53:28	ga_s2am_ard_3-2-1_50KNC_2022-03-12_final
2022-03-12 11:53:35	ga_s2am_ard_3-2-1_50KMC_2022-03-12_final
2022-03-12 11:53:36	ga_s2am_ard_3-2-1_50KQB_2022-03-12_final
2022-03-12 11:53:40	ga_s2am_ard_3-2-1_50KPB_2022-03-12_final
2022-03-12 11:53:43	ga_s2am_ard_3-2-1_50KNB_2022-03-12_final
2022-03-12 11:53:47	ga_s2am_ard_3-2-1_50KMB_2022-03-12_final
2022-03-12 11:53:50	ga_s2am_ard_3-2-1_50KQA_2022-03-12_final
2022-03-12 11:53:54	ga_s2am_ard_3-2-1_50KPA_2022-03-12_final
2022-03-12 11:53:57	ga_s2am_ard_3-2-1_50KNA_2022-03-12_final
2022-03-12 11:54:00	ga_s2am_ard_3-2-1_50KMA_2022-03-12_final
2022-03-12 11:54:05	ga_s2am_ard_3-2-1_50KQV_2022-03-12_final
2022-03-12 11:54:09	ga_s2am_ard_3-2-1_50KPV_2022-03-12_final
2022-03-12 11:54:12	ga_s2am_ard_3-2-1_50KNV_2022-03-12_final
2022-03-12 11:54:15	ga_s2am_ard_3-2-1_50KMV_2022-03-12_final
2022-03-12 11:54:17	ga_s2am_ard_3-2-1_50KQU_2022-03-12_final
2022-03-12 11:54:23	ga_s2am_ard_3-2-1_50KPU_2022-03-12_final
2022-03-12 11:54:27	ga_s2am_ard_3-2-1_50KNU_2022-03-12_final
2022-03-12 11:54:27	ga_s2am_ard_3-2-1_50JQT_2022-03-12_final
2022-03-12 11:54:30	ga_s2am_ard_3-2-1_50KMU_2022-03-12_final
2022-03-12 11:54:37	ga_s2am_ard_3-2-1_50KLU_2022-03-12_final
2022-03-12 11:54:37	ga_s2am_ard_3-2-1_50JPT_2022-03-12_final
2022-03-12 11:54:41	ga_s2am_ard_3-2-1_50JNT_2022-03-12_final
2022-03-12 11:54:44	ga_s2am_ard_3-2-1_50JMT_2022-03-12_final
2022-03-12 11:54:48	ga_s2am_ard_3-2-1_50JLT_2022-03-12_final
2022-03-12 11:54:52	ga_s2am_ard_3-2-1_50JPS_2022-03-12_final
2022-03-12 11:54:56	ga_s2am_ard_3-2-1_50JNS_2022-03-12_final
2022-03-12 11:54:59	ga_s2am_ard_3-2-1_50JMS_2022-03-12_final
2022-03-12 11:55:02	ga_s2am_ard_3-2-1_50JLS_2022-03-12_final
2022-03-12 11:55:06	ga_s2am_ard_3-2-1_50JPR_2022-03-12_final
2022-03-12 11:55:10	ga_s2am_ard_3-2-1_50JNR_2022-03-12_final
2022-03-12 11:55:14	ga_s2am_ard_3-2-1_50JMR_2022-03-12_final
2022-03-12 11:55:17	ga_s2am_ard_3-2-1_50JLR_2022-03-12_final
2022-03-12 11:55:20	ga_s2am_ard_3-2-1_50JPQ_2022-03-12_final
2022-03-12 11:55:24	ga_s2am_ard_3-2-1_50JNQ_2022-03-12_final

Return to ga_s2am_ard_3 on 12th 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

12th