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
2020-05-12 09:46:43	ga_s2am_ard_3-2-1_55HCB_2020-05-12_final
2020-05-12 09:46:46	ga_s2am_ard_3-2-1_55HFA_2020-05-12_final
2020-05-12 09:46:50	ga_s2am_ard_3-2-1_55HEA_2020-05-12_final
2020-05-12 09:46:54	ga_s2am_ard_3-2-1_55HDA_2020-05-12_final
2020-05-12 09:46:57	ga_s2am_ard_3-2-1_55HCA_2020-05-12_final
2020-05-12 09:47:01	ga_s2am_ard_3-2-1_55HFV_2020-05-12_final
2020-05-12 09:47:05	ga_s2am_ard_3-2-1_55HEV_2020-05-12_final
2020-05-12 09:47:08	ga_s2am_ard_3-2-1_55HDV_2020-05-12_final
2020-05-12 09:47:12	ga_s2am_ard_3-2-1_55HCV_2020-05-12_final
2020-05-12 09:47:19	ga_s2am_ard_3-2-1_55HEU_2020-05-12_final
2020-05-12 09:47:23	ga_s2am_ard_3-2-1_55HDU_2020-05-12_final
2020-05-12 09:47:24	ga_s2am_ard_3-2-1_55HFT_2020-05-12_final.stac-item
2020-05-12 09:47:33	ga_s2am_ard_3-2-1_55HET_2020-05-12_final
2020-05-12 09:47:37	ga_s2am_ard_3-2-1_55HDT_2020-05-12_final
2020-05-12 09:47:41	ga_s2am_ard_3-2-1_55HCT_2020-05-12_final
2020-05-12 09:47:45	ga_s2am_ard_3-2-1_55HBT_2020-05-12_final
2020-05-12 09:47:49	ga_s2am_ard_3-2-1_54HYC_2020-05-12_final
2020-05-12 09:47:59	ga_s2am_ard_3-2-1_54HYB_2020-05-12_final
2020-05-12 09:48:16	ga_s2am_ard_3-2-1_55GEQ_2020-05-12_final
2020-05-12 09:48:21	ga_s2am_ard_3-2-1_55GDQ_2020-05-12_final
2020-05-12 09:48:24	ga_s2am_ard_3-2-1_55GCQ_2020-05-12_final
2020-05-12 09:48:28	ga_s2am_ard_3-2-1_55GBQ_2020-05-12_final.stac-item
2020-05-12 09:48:28	ga_s2am_ard_3-2-1_54GYV_2020-05-12_final.stac-item
2020-05-12 09:48:35	ga_s2am_ard_3-2-1_55GDP_2020-05-12_final
2020-05-12 09:48:39	ga_s2am_ard_3-2-1_55GCP_2020-05-12_final
2020-05-12 09:48:50	ga_s2am_ard_3-2-1_55GDN_2020-05-12_final
2020-05-12 09:48:53	ga_s2am_ard_3-2-1_55GCN_2020-05-12_final
2020-05-12 09:49:03	ga_s2am_ard_3-2-1_55GDM_2020-05-12_final.stac-item
2020-05-12 09:49:05	ga_s2am_ard_3-2-1_55GCM_2020-05-12_final.stac-item
2020-05-12 11:21:02	ga_s2am_ard_3-2-1_52LEL_2020-05-12_final.stac-item
2020-05-12 11:21:29	ga_s2am_ard_3-2-1_52LBK_2020-05-12_final
2020-05-12 11:21:30	ga_s2am_ard_3-2-1_51LZE_2020-05-12_final
2020-05-12 11:21:37	ga_s2am_ard_3-2-1_52LDJ_2020-05-12_final
2020-05-12 11:21:43	ga_s2am_ard_3-2-1_52LBJ_2020-05-12_final
2020-05-12 11:21:45	ga_s2am_ard_3-2-1_51LZD_2020-05-12_final
2020-05-12 11:21:51	ga_s2am_ard_3-2-1_52LDH_2020-05-12_final
2020-05-12 11:21:55	ga_s2am_ard_3-2-1_52LCH_2020-05-12_final
2020-05-12 11:22:05	ga_s2am_ard_3-2-1_52KDG_2020-05-12_final
2020-05-12 11:22:09	ga_s2am_ard_3-2-1_52KCG_2020-05-12_final
2020-05-12 11:22:12	ga_s2am_ard_3-2-1_52KBG_2020-05-12_final
2020-05-12 11:22:17	ga_s2am_ard_3-2-1_51KYB_2020-05-12_final
2020-05-12 11:22:17	ga_s2am_ard_3-2-1_52KDF_2020-05-12_final
2020-05-12 11:22:27	ga_s2am_ard_3-2-1_52KBF_2020-05-12_final
2020-05-12 11:22:28	ga_s2am_ard_3-2-1_51KZA_2020-05-12_final
2020-05-12 11:22:31	ga_s2am_ard_3-2-1_51KYA_2020-05-12_final
2020-05-12 11:22:38	ga_s2am_ard_3-2-1_52KCE_2020-05-12_final
2020-05-12 11:22:42	ga_s2am_ard_3-2-1_52KBE_2020-05-12_final
2020-05-12 11:22:42	ga_s2am_ard_3-2-1_51KZV_2020-05-12_final
2020-05-12 11:22:46	ga_s2am_ard_3-2-1_51KYV_2020-05-12_final
2020-05-12 11:22:57	ga_s2am_ard_3-2-1_51KZU_2020-05-12_final
2020-05-12 11:23:00	ga_s2am_ard_3-2-1_51KYU_2020-05-12_final
2020-05-12 11:23:11	ga_s2am_ard_3-2-1_51KZT_2020-05-12_final
2020-05-12 11:23:26	ga_s2am_ard_3-2-1_51KZS_2020-05-12_final
2020-05-12 11:23:32	ga_s2am_ard_3-2-1_52KCA_2020-05-12_final
2020-05-12 11:23:40	ga_s2am_ard_3-2-1_52KBA_2020-05-12_final
2020-05-12 11:23:40	ga_s2am_ard_3-2-1_51KZR_2020-05-12_final
2020-05-12 11:23:44	ga_s2am_ard_3-2-1_51KYR_2020-05-12_final
2020-05-12 11:23:47	ga_s2am_ard_3-2-1_51KXR_2020-05-12_final
2020-05-12 11:23:54	ga_s2am_ard_3-2-1_52KBV_2020-05-12_final
2020-05-12 11:23:54	ga_s2am_ard_3-2-1_51KZQ_2020-05-12_final
2020-05-12 11:23:58	ga_s2am_ard_3-2-1_51KYQ_2020-05-12_final
2020-05-12 11:24:00	ga_s2am_ard_3-2-1_51KXQ_2020-05-12_final
2020-05-12 11:24:03	ga_s2am_ard_3-2-1_51KZQ_2020-05-12_final
2020-05-12 11:24:03	ga_s2am_ard_3-2-1_51KZP_2020-05-12_final
2020-05-12 11:24:03	ga_s2am_ard_3-2-1_52KBU_2020-05-12_final
2020-05-12 11:24:05	ga_s2am_ard_3-2-1_51KYQ_2020-05-12_final
2020-05-12 11:24:05	ga_s2am_ard_3-2-1_51KYP_2020-05-12_final
2020-05-12 11:24:06	ga_s2am_ard_3-2-1_51KXQ_2020-05-12_final
2020-05-12 11:24:10	ga_s2am_ard_3-2-1_51KZP_2020-05-12_final
2020-05-12 11:24:10	ga_s2am_ard_3-2-1_52KBU_2020-05-12_final
2020-05-12 11:24:13	ga_s2am_ard_3-2-1_51KYP_2020-05-12_final
2020-05-12 11:24:16	ga_s2am_ard_3-2-1_51KXP_2020-05-12_final
2020-05-12 11:24:19	ga_s2am_ard_3-2-1_51KWP_2020-05-12_final
2020-05-12 11:24:23	ga_s2am_ard_3-2-1_51JZN_2020-05-12_final
2020-05-12 11:24:31	ga_s2am_ard_3-2-1_51JXN_2020-05-12_final
2020-05-12 11:24:37	ga_s2am_ard_3-2-1_51JZM_2020-05-12_final
2020-05-12 11:24:45	ga_s2am_ard_3-2-1_51JXM_2020-05-12_final
2020-05-12 11:24:48	ga_s2am_ard_3-2-1_52JBR_2020-05-12_final
2020-05-12 11:24:56	ga_s2am_ard_3-2-1_51JYL_2020-05-12_final
2020-05-12 11:25:14	ga_s2am_ard_3-2-1_51JXK_2020-05-12_final
2020-05-12 11:25:25	ga_s2am_ard_3-2-1_51JYJ_2020-05-12_final
2020-05-12 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2020-05-12_final
2020-05-12 11:25:36	ga_s2am_ard_3-2-1_51JVJ_2020-05-12_final
2020-05-12 11:25:38	ga_s2am_ard_3-2-1_51JYH_2020-05-12_final
2020-05-12 11:25:43	ga_s2am_ard_3-2-1_51JXH_2020-05-12_final
2020-05-12 11:25:49	ga_s2am_ard_3-2-1_51JYG_2020-05-12_final
2020-05-12 11:25:50	ga_s2am_ard_3-2-1_51JVH_2020-05-12_final
2020-05-12 11:26:01	ga_s2am_ard_3-2-1_51JWG_2020-05-12_final
2020-05-12 11:26:05	ga_s2am_ard_3-2-1_51JVG_2020-05-12_final
2020-05-12 11:26:19	ga_s2am_ard_3-2-1_51JVF_2020-05-12_final
2020-05-12 11:26:40	ga_s2am_ard_3-2-1_51HXD_2020-05-12_final
2020-05-12 11:26:45	ga_s2am_ard_3-2-1_51HWD_2020-05-12_final
2020-05-12 11:26:48	ga_s2am_ard_3-2-1_51HVD_2020-05-12_final
2020-05-12 11:26:52	ga_s2am_ard_3-2-1_51HUD_2020-05-12_final
2020-05-12 11:26:52	ga_s2am_ard_3-2-1_51HXC_2020-05-12_final.stac-item
2020-05-12 11:26:59	ga_s2am_ard_3-2-1_51HWC_2020-05-12_final.stac-item
2020-05-12 11:27:02	ga_s2am_ard_3-2-1_51HVC_2020-05-12_final
2020-05-12 11:27:04	ga_s2am_ard_3-2-1_51HUC_2020-05-12_final
2020-05-12 11:27:07	ga_s2am_ard_3-2-1_51HWB_2020-05-12_final.stac-item
2020-05-12 11:27:08	ga_s2am_ard_3-2-1_51HTC_2020-05-12_final

Return to ga_s2am_ard_3 whole collection overview

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

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years