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 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
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMA_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMU_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMV_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KNA_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KNU_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KNV_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KPA_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KPU_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KPV_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KQA_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KQU_2016-03-03_final
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KQV_2016-03-03_final
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JTM_2016-03-07_final
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KLB_2016-03-16_final
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KLC_2016-03-16_final
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KMB_2016-03-16_final
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KNB_2016-03-16_final
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KNC_2016-03-16_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNR_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPP_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPQ_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPR_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPS_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPT_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQN_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQP_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQQ_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQR_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQS_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQT_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JRS_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JRT_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51JTJ_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51JTL_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51JTM_2016-03-20_final
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51JTN_2016-03-20_final
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KKB_2016-06-04_final
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KLB_2016-06-04_final
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KLC_2016-06-04_final
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KMB_2016-06-04_final
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KMC_2016-06-04_final
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KNB_2016-06-04_final
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQN_2016-06-05_final
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50JQP_2016-06-05_final
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JTH_2016-06-05_final
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JTJ_2016-06-05_final
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JTK_2016-06-05_final
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JPR_2016-06-11_final
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPH_2016-06-25_final
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPJ_2016-06-25_final
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HQH_2016-06-25_final
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HQJ_2016-06-25_final
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51HTC_2016-06-25_final
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51HTD_2016-06-25_final
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51HUC_2016-06-25_final
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51HUD_2016-06-25_final
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51HVD_2016-06-25_final
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JKP_2016-07-21_final
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51HVC_2016-08-31_final
2022-11-24 11:43:21	ga_s2am_ard_3-2-1_50KQC_2022-11-24_final
2022-11-24 11:43:32	ga_s2am_ard_3-2-1_50KRB_2022-11-24_final
2022-11-24 11:43:36	ga_s2am_ard_3-2-1_50KQB_2022-11-24_final
2022-11-24 11:44:15	ga_s2am_ard_3-2-1_50KRU_2022-11-24_final
2022-11-24 11:44:19	ga_s2am_ard_3-2-1_50KQU_2022-11-24_final
2022-11-24 11:44:22	ga_s2am_ard_3-2-1_50KPU_2022-11-24_final
2022-11-24 11:44:30	ga_s2am_ard_3-2-1_50JRT_2022-11-24_final
2022-11-24 11:44:34	ga_s2am_ard_3-2-1_50JQT_2022-11-24_final
2022-11-24 11:44:37	ga_s2am_ard_3-2-1_50JPT_2022-11-24_final
2022-11-24 11:44:44	ga_s2am_ard_3-2-1_51JTM_2022-11-24_final
2022-11-24 11:44:52	ga_s2am_ard_3-2-1_50JPS_2022-11-24_final
2022-11-24 11:45:11	ga_s2am_ard_3-2-1_50JNR_2022-11-24_final
2022-11-24 11:45:14	ga_s2am_ard_3-2-1_51JTK_2022-11-24_final
2022-11-24 11:45:21	ga_s2am_ard_3-2-1_50JPQ_2022-11-24_final
2022-11-24 11:45:24	ga_s2am_ard_3-2-1_50JNQ_2022-11-24_final
2022-11-24 11:45:28	ga_s2am_ard_3-2-1_51JTJ_2022-11-24_final
2022-11-24 11:45:35	ga_s2am_ard_3-2-1_50JPP_2022-11-24_final
2022-11-24 11:45:50	ga_s2am_ard_3-2-1_50JPN_2022-11-24_final
2022-11-24 11:45:53	ga_s2am_ard_3-2-1_50JNN_2022-11-24_final
2022-11-24 11:46:00	ga_s2am_ard_3-2-1_50JQM_2022-11-24_final
2022-11-24 11:46:04	ga_s2am_ard_3-2-1_50JPM_2022-11-24_final
2022-11-24 11:46:07	ga_s2am_ard_3-2-1_51JTF_2022-11-24_final
2022-11-24 11:46:08	ga_s2am_ard_3-2-1_50JNM_2022-11-24_final
2022-11-24 11:46:12	ga_s2am_ard_3-2-1_50JMM_2022-11-24_final
2022-11-24 11:46:18	ga_s2am_ard_3-2-1_50JPL_2022-11-24_final
2022-11-24 11:46:22	ga_s2am_ard_3-2-1_50JNL_2022-11-24_final
2022-11-24 11:46:25	ga_s2am_ard_3-2-1_50JML_2022-11-24_final
2022-11-24 11:46:33	ga_s2am_ard_3-2-1_50HPK_2022-11-24_final
2022-11-24 11:46:37	ga_s2am_ard_3-2-1_50HNK_2022-11-24_final
2022-11-24 11:46:40	ga_s2am_ard_3-2-1_50HMK_2022-11-24_final
2022-11-24 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2022-11-24_final
2022-11-24 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2022-11-24_final
2022-11-24 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2022-11-24_final
2022-11-24 11:47:02	ga_s2am_ard_3-2-1_50HPH_2022-11-24_final
2022-11-24 11:47:06	ga_s2am_ard_3-2-1_50HNH_2022-11-24_final
2022-11-24 11:47:14	ga_s2am_ard_3-2-1_50HLH_2022-11-24_final
2022-11-25 11:16:22	ga_s2am_ard_3-2-1_51HYE_2022-11-25_final
2022-11-25 11:16:25	ga_s2am_ard_3-2-1_51HXE_2022-11-25_final
2022-11-25 11:16:30	ga_s2am_ard_3-2-1_51HWE_2022-11-25_final
2022-11-25 11:16:36	ga_s2am_ard_3-2-1_51HYD_2022-11-25_final
2022-11-25 11:16:40	ga_s2am_ard_3-2-1_51HXD_2022-11-25_final

Return to ga_s2am_ard_3 whole collection 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

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