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
2022-05-12 09:46:06	ga_s2am_ard_3-2-1_55HED_2022-05-12_final
2022-05-12 09:46:09	ga_s2am_ard_3-2-1_55HDD_2022-05-12_final
2022-05-12 09:46:31	ga_s2am_ard_3-2-1_55HCC_2022-05-12_final
2022-05-12 09:46:35	ga_s2am_ard_3-2-1_55HEB_2022-05-12_final
2022-05-12 09:46:38	ga_s2am_ard_3-2-1_55HDB_2022-05-12_final
2022-05-12 09:46:42	ga_s2am_ard_3-2-1_55HCB_2022-05-12_final
2022-05-12 09:46:49	ga_s2am_ard_3-2-1_55HEA_2022-05-12_final
2022-05-12 09:46:53	ga_s2am_ard_3-2-1_55HDA_2022-05-12_final
2022-05-12 09:46:56	ga_s2am_ard_3-2-1_55HCA_2022-05-12_final
2022-05-12 09:47:04	ga_s2am_ard_3-2-1_55HEV_2022-05-12_final
2022-05-12 09:47:07	ga_s2am_ard_3-2-1_55HDV_2022-05-12_final
2022-05-12 09:47:25	ga_s2am_ard_3-2-1_55HCU_2022-05-12_final
2022-05-12 09:47:32	ga_s2am_ard_3-2-1_55HET_2022-05-12_final
2022-05-12 09:47:36	ga_s2am_ard_3-2-1_55HDT_2022-05-12_final
2022-05-12 09:47:40	ga_s2am_ard_3-2-1_55HCT_2022-05-12_final
2022-05-12 09:47:44	ga_s2am_ard_3-2-1_55HBT_2022-05-12_final
2022-05-12 09:47:47	ga_s2am_ard_3-2-1_55HES_2022-05-12_final
2022-05-12 09:47:48	ga_s2am_ard_3-2-1_54HYC_2022-05-12_final
2022-05-12 09:47:51	ga_s2am_ard_3-2-1_55HDS_2022-05-12_final
2022-05-12 09:47:54	ga_s2am_ard_3-2-1_55HCS_2022-05-12_final
2022-05-12 09:47:57	ga_s2am_ard_3-2-1_55HBS_2022-05-12_final
2022-05-12 09:47:58	ga_s2am_ard_3-2-1_54HYB_2022-05-12_final
2022-05-12 09:48:01	ga_s2am_ard_3-2-1_55GER_2022-05-12_final
2022-05-12 09:48:05	ga_s2am_ard_3-2-1_55GDR_2022-05-12_final
2022-05-12 09:48:09	ga_s2am_ard_3-2-1_55GCR_2022-05-12_final
2022-05-12 09:48:12	ga_s2am_ard_3-2-1_55GBR_2022-05-12_final
2022-05-12 09:48:12	ga_s2am_ard_3-2-1_54GYA_2022-05-12_final
2022-05-12 09:48:15	ga_s2am_ard_3-2-1_55GEQ_2022-05-12_final
2022-05-12 09:48:20	ga_s2am_ard_3-2-1_55GDQ_2022-05-12_final
2022-05-12 09:48:23	ga_s2am_ard_3-2-1_55GCQ_2022-05-12_final
2022-05-12 09:48:25	ga_s2am_ard_3-2-1_55GEP_2022-05-12_final
2022-05-12 09:48:27	ga_s2am_ard_3-2-1_55GBQ_2022-05-12_final
2022-05-12 09:48:27	ga_s2am_ard_3-2-1_54GYV_2022-05-12_final
2022-05-12 09:48:34	ga_s2am_ard_3-2-1_55GDP_2022-05-12_final
2022-05-12 09:48:38	ga_s2am_ard_3-2-1_55GCP_2022-05-12_final
2022-05-12 09:48:49	ga_s2am_ard_3-2-1_55GDN_2022-05-12_final
2022-05-12 09:48:52	ga_s2am_ard_3-2-1_55GCN_2022-05-12_final
2022-05-12 09:49:03	ga_s2am_ard_3-2-1_55GDM_2022-05-12_final
2022-05-12 09:49:05	ga_s2am_ard_3-2-1_55GCM_2022-05-12_final
2022-05-12 11:21:01	ga_s2am_ard_3-2-1_52LEL_2022-05-12_final
2022-05-12 11:21:11	ga_s2am_ard_3-2-1_52LEK_2022-05-12_final
2022-05-12 11:21:24	ga_s2am_ard_3-2-1_52LCK_2022-05-12_final
2022-05-12 11:21:28	ga_s2am_ard_3-2-1_52LBK_2022-05-12_final
2022-05-12 11:21:29	ga_s2am_ard_3-2-1_51LZE_2022-05-12_final
2022-05-12 11:21:35	ga_s2am_ard_3-2-1_52LDJ_2022-05-12_final
2022-05-12 11:21:39	ga_s2am_ard_3-2-1_52LCJ_2022-05-12_final
2022-05-12 11:21:42	ga_s2am_ard_3-2-1_52LBJ_2022-05-12_final
2022-05-12 11:21:43	ga_s2am_ard_3-2-1_51LZD_2022-05-12_final
2022-05-12 11:21:50	ga_s2am_ard_3-2-1_52LDH_2022-05-12_final
2022-05-12 11:21:53	ga_s2am_ard_3-2-1_52LCH_2022-05-12_final
2022-05-12 11:21:57	ga_s2am_ard_3-2-1_52LBH_2022-05-12_final
2022-05-12 11:21:58	ga_s2am_ard_3-2-1_51LZC_2022-05-12_final
2022-05-12 11:22:02	ga_s2am_ard_3-2-1_51LYC_2022-05-12_final
2022-05-12 11:22:04	ga_s2am_ard_3-2-1_52KDG_2022-05-12_final
2022-05-12 11:22:08	ga_s2am_ard_3-2-1_52KCG_2022-05-12_final
2022-05-12 11:22:11	ga_s2am_ard_3-2-1_52KBG_2022-05-12_final
2022-05-12 11:22:12	ga_s2am_ard_3-2-1_51KZB_2022-05-12_final
2022-05-12 11:22:15	ga_s2am_ard_3-2-1_51KYB_2022-05-12_final
2022-05-12 11:22:16	ga_s2am_ard_3-2-1_52KDF_2022-05-12_final
2022-05-12 11:22:22	ga_s2am_ard_3-2-1_52KCF_2022-05-12_final
2022-05-12 11:22:26	ga_s2am_ard_3-2-1_52KBF_2022-05-12_final
2022-05-12 11:25:02	ga_s2am_ard_3-2-1_51JWL_2022-05-12_final
2022-05-12 11:25:07	ga_s2am_ard_3-2-1_51JVL_2022-05-12_final
2022-05-12 11:25:09	ga_s2am_ard_3-2-1_51JYK_2022-05-12_final
2022-05-12 11:25:13	ga_s2am_ard_3-2-1_51JXK_2022-05-12_final
2022-05-12 11:25:16	ga_s2am_ard_3-2-1_51JWK_2022-05-12_final
2022-05-12 11:25:20	ga_s2am_ard_3-2-1_51JVK_2022-05-12_final
2022-05-12 11:25:24	ga_s2am_ard_3-2-1_51JYJ_2022-05-12_final
2022-05-12 11:25:28	ga_s2am_ard_3-2-1_51JXJ_2022-05-12_final
2022-05-12 11:25:31	ga_s2am_ard_3-2-1_51JWJ_2022-05-12_final
2022-05-12 11:25:34	ga_s2am_ard_3-2-1_51JVJ_2022-05-12_final
2022-05-12 11:25:37	ga_s2am_ard_3-2-1_51JYH_2022-05-12_final
2022-05-12 11:25:42	ga_s2am_ard_3-2-1_51JXH_2022-05-12_final
2022-05-12 11:25:46	ga_s2am_ard_3-2-1_51JWH_2022-05-12_final
2022-05-12 11:25:48	ga_s2am_ard_3-2-1_51JYG_2022-05-12_final
2022-05-12 11:25:49	ga_s2am_ard_3-2-1_51JVH_2022-05-12_final
2022-05-12 11:25:56	ga_s2am_ard_3-2-1_51JXG_2022-05-12_final
2022-05-12 11:26:00	ga_s2am_ard_3-2-1_51JWG_2022-05-12_final
2022-05-12 11:26:04	ga_s2am_ard_3-2-1_51JVG_2022-05-12_final
2022-05-12 11:26:09	ga_s2am_ard_3-2-1_51JUG_2022-05-12_final
2022-05-12 11:26:11	ga_s2am_ard_3-2-1_51JXF_2022-05-12_final
2022-05-12 11:26:15	ga_s2am_ard_3-2-1_51JWF_2022-05-12_final
2022-05-12 11:26:18	ga_s2am_ard_3-2-1_51JVF_2022-05-12_final
2022-05-12 11:26:21	ga_s2am_ard_3-2-1_51JUF_2022-05-12_final
2022-05-12 11:26:25	ga_s2am_ard_3-2-1_51HXE_2022-05-12_final
2022-05-12 11:26:29	ga_s2am_ard_3-2-1_51HWE_2022-05-12_final
2022-05-12 11:26:33	ga_s2am_ard_3-2-1_51HVE_2022-05-12_final
2022-05-12 11:26:36	ga_s2am_ard_3-2-1_51HUE_2022-05-12_final
2022-05-12 11:26:39	ga_s2am_ard_3-2-1_51HXD_2022-05-12_final
2022-05-12 11:26:44	ga_s2am_ard_3-2-1_51HWD_2022-05-12_final
2022-05-12 11:26:47	ga_s2am_ard_3-2-1_51HVD_2022-05-12_final
2022-05-12 11:26:51	ga_s2am_ard_3-2-1_51HUD_2022-05-12_final
2022-05-12 11:26:51	ga_s2am_ard_3-2-1_51HXC_2022-05-12_final
2022-05-12 11:26:58	ga_s2am_ard_3-2-1_51HWC_2022-05-12_final
2022-05-12 11:27:02	ga_s2am_ard_3-2-1_51HVC_2022-05-12_final
2022-05-12 11:27:05	ga_s2am_ard_3-2-1_51HUC_2022-05-12_final
2022-05-12 11:27:11	ga_s2am_ard_3-2-1_51HTC_2022-05-12_final
2022-05-12 11:27:12	ga_s2am_ard_3-2-1_51HWB_2022-05-12_final
2022-05-12 11:27:14	ga_s2am_ard_3-2-1_51HVB_2022-05-12_final
2022-05-12 11:27:16	ga_s2am_ard_3-2-1_51HUB_2022-05-12_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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