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
2023-06-16 09:45:06	ga_s2am_ard_3-2-1_55JEH_2023-06-16_final.stac-item
2023-06-16 09:45:13	ga_s2am_ard_3-2-1_55JEH_2023-06-16_final.stac-item
2023-06-16 09:45:19	ga_s2am_ard_3-2-1_55JFG_2023-06-16_final.stac-item
2023-06-16 09:45:23	ga_s2am_ard_3-2-1_55JEG_2023-06-16_final.stac-item
2023-06-16 09:45:37	ga_s2am_ard_3-2-1_55JEF_2023-06-16_final.stac-item
2023-06-16 09:45:41	ga_s2am_ard_3-2-1_55JDF_2023-06-16_final.stac-item
2023-06-16 09:45:48	ga_s2am_ard_3-2-1_55HFE_2023-06-16_final.stac-item
2023-06-16 09:45:59	ga_s2am_ard_3-2-1_55HGD_2023-06-16_final.stac-item
2023-06-16 09:46:06	ga_s2am_ard_3-2-1_55HED_2023-06-16_final.stac-item
2023-06-16 09:46:10	ga_s2am_ard_3-2-1_55HDD_2023-06-16_final.stac-item
2023-06-16 09:46:17	ga_s2am_ard_3-2-1_55HFC_2023-06-16_final.stac-item
2023-06-16 09:46:21	ga_s2am_ard_3-2-1_55HEC_2023-06-16_final.stac-item
2023-06-16 09:46:21	ga_s2am_ard_3-2-1_55HGB_2023-06-16_final.stac-item
2023-06-16 09:46:24	ga_s2am_ard_3-2-1_55HDC_2023-06-16_final.stac-item
2023-06-16 09:46:35	ga_s2am_ard_3-2-1_55HEB_2023-06-16_final.stac-item
2023-06-16 09:46:39	ga_s2am_ard_3-2-1_55HDB_2023-06-16_final.stac-item
2023-06-16 09:46:43	ga_s2am_ard_3-2-1_55HCB_2023-06-16_final.stac-item
2023-06-16 09:46:46	ga_s2am_ard_3-2-1_55HFA_2023-06-16_final.stac-item
2023-06-16 09:46:56	ga_s2am_ard_3-2-1_55HCA_2023-06-16_final.stac-item
2023-06-16 09:47:00	ga_s2am_ard_3-2-1_55HFV_2023-06-16_final.stac-item
2023-06-16 09:47:04	ga_s2am_ard_3-2-1_55HEV_2023-06-16_final.stac-item
2023-06-16 09:47:08	ga_s2am_ard_3-2-1_55HDV_2023-06-16_final.stac-item
2023-06-16 09:47:11	ga_s2am_ard_3-2-1_55HCV_2023-06-16_final.stac-item
2023-06-16 09:47:13	ga_s2am_ard_3-2-1_55HFU_2023-06-16_final.stac-item
2023-06-16 09:47:23	ga_s2am_ard_3-2-1_55HFT_2023-06-16_final.stac-item
2023-06-16 09:47:26	ga_s2am_ard_3-2-1_55HCU_2023-06-16_final.stac-item
2023-06-16 09:47:33	ga_s2am_ard_3-2-1_55HET_2023-06-16_final.stac-item
2023-06-16 09:47:33	ga_s2am_ard_3-2-1_55HBU_2023-06-16_final.stac-item
2023-06-16 09:47:37	ga_s2am_ard_3-2-1_55HDT_2023-06-16_final.stac-item
2023-06-16 09:47:40	ga_s2am_ard_3-2-1_55HCT_2023-06-16_final.stac-item
2023-06-16 09:47:44	ga_s2am_ard_3-2-1_55HBT_2023-06-16_final.stac-item
2023-06-16 09:47:48	ga_s2am_ard_3-2-1_54HYC_2023-06-16_final.stac-item
2023-06-16 09:48:15	ga_s2am_ard_3-2-1_55GEQ_2023-06-16_final.stac-item
2023-06-16 09:48:27	ga_s2am_ard_3-2-1_55GBQ_2023-06-16_final.stac-item
2023-06-16 09:48:28	ga_s2am_ard_3-2-1_54GYV_2023-06-16_final.stac-item
2023-06-16 09:48:35	ga_s2am_ard_3-2-1_55GDP_2023-06-16_final.stac-item
2023-06-16 09:48:39	ga_s2am_ard_3-2-1_55GCP_2023-06-16_final.stac-item
2023-06-16 09:48:42	ga_s2am_ard_3-2-1_54GYU_2023-06-16_nrt.stac-item
2023-06-16 09:48:42	ga_s2am_ard_3-2-1_55GBP_2023-06-16_nrt.stac-item
2023-06-16 09:48:47	ga_s2am_ard_3-2-1_54GXU_2023-06-16_nrt.stac-item
2023-06-16 11:20:53	ga_s2am_ard_3-2-1_52LDM_2023-06-16_nrt.stac-item
2023-06-16 11:21:30	ga_s2am_ard_3-2-1_51LZE_2023-06-16_final.stac-item
2023-06-16 11:21:44	ga_s2am_ard_3-2-1_51LZD_2023-06-16_final.stac-item
2023-06-16 11:21:51	ga_s2am_ard_3-2-1_52LDH_2023-06-16_final.stac-item
2023-06-16 11:21:54	ga_s2am_ard_3-2-1_52LCH_2023-06-16_final.stac-item
2023-06-16 11:22:05	ga_s2am_ard_3-2-1_52KDG_2023-06-16_final.stac-item
2023-06-16 11:22:09	ga_s2am_ard_3-2-1_52KCG_2023-06-16_final.stac-item
2023-06-16 11:22:16	ga_s2am_ard_3-2-1_52KDF_2023-06-16_final.stac-item
2023-06-16 11:22:28	ga_s2am_ard_3-2-1_51KZA_2023-06-16_final.stac-item
2023-06-16 11:22:31	ga_s2am_ard_3-2-1_51KYA_2023-06-16_final.stac-item
2023-06-16 11:22:41	ga_s2am_ard_3-2-1_52KBE_2023-06-16_final.stac-item
2023-06-16 11:22:42	ga_s2am_ard_3-2-1_51KZV_2023-06-16_final.stac-item
2023-06-16 11:22:46	ga_s2am_ard_3-2-1_51KYV_2023-06-16_final.stac-item
2023-06-16 11:22:57	ga_s2am_ard_3-2-1_51KZU_2023-06-16_final.stac-item
2023-06-16 11:23:11	ga_s2am_ard_3-2-1_51KZT_2023-06-16_final.stac-item
2023-06-16 11:23:20	ga_s2am_ard_3-2-1_52KBB_2023-06-16_final.stac-item
2023-06-16 11:23:20	ga_s2am_ard_3-2-1_51KZS_2023-06-16_final.stac-item
2023-06-16 11:23:27	ga_s2am_ard_3-2-1_51KZS_2023-06-16_final.stac-item
2023-06-16 11:23:31	ga_s2am_ard_3-2-1_52KCA_2023-06-16_final.stac-item
2023-06-16 11:23:32	ga_s2am_ard_3-2-1_51KXS_2023-06-16_final.stac-item
2023-06-16 11:23:39	ga_s2am_ard_3-2-1_52KBA_2023-06-16_final.stac-item
2023-06-16 11:23:40	ga_s2am_ard_3-2-1_51KZR_2023-06-16_final.stac-item
2023-06-16 11:23:43	ga_s2am_ard_3-2-1_51KYR_2023-06-16_final.stac-item
2023-06-16 11:23:47	ga_s2am_ard_3-2-1_51KXR_2023-06-16_final.stac-item
2023-06-16 11:23:54	ga_s2am_ard_3-2-1_51KZQ_2023-06-16_final.stac-item
2023-06-16 11:24:01	ga_s2am_ard_3-2-1_51KXQ_2023-06-16_final.stac-item
2023-06-16 11:24:06	ga_s2am_ard_3-2-1_51KWQ_2023-06-16_final.stac-item
2023-06-16 11:24:08	ga_s2am_ard_3-2-1_51KZP_2023-06-16_final.stac-item
2023-06-16 11:24:16	ga_s2am_ard_3-2-1_51KXP_2023-06-16_final.stac-item
2023-06-16 11:24:30	ga_s2am_ard_3-2-1_51JXN_2023-06-16_final.stac-item
2023-06-16 11:24:34	ga_s2am_ard_3-2-1_51JWN_2023-06-16_final.stac-item
2023-06-16 11:24:36	ga_s2am_ard_3-2-1_51JZM_2023-06-16_final.stac-item
2023-06-16 11:24:45	ga_s2am_ard_3-2-1_51JXM_2023-06-16_final.stac-item
2023-06-16 11:24:47	ga_s2am_ard_3-2-1_52JBR_2023-06-16_final.stac-item
2023-06-16 11:24:59	ga_s2am_ard_3-2-1_51JXL_2023-06-16_final.stac-item
2023-06-16 11:25:07	ga_s2am_ard_3-2-1_51JVL_2023-06-16_final.stac-item
2023-06-16 11:25:17	ga_s2am_ard_3-2-1_51JWK_2023-06-16_final.stac-item
2023-06-16 11:25:20	ga_s2am_ard_3-2-1_51JVK_2023-06-16_final.stac-item
2023-06-16 11:25:25	ga_s2am_ard_3-2-1_51JYJ_2023-06-16_final.stac-item
2023-06-16 11:25:28	ga_s2am_ard_3-2-1_51JXJ_2023-06-16_final.stac-item
2023-06-16 11:25:32	ga_s2am_ard_3-2-1_51JWJ_2023-06-16_final.stac-item
2023-06-16 11:25:35	ga_s2am_ard_3-2-1_51JVJ_2023-06-16_final.stac-item
2023-06-16 11:25:57	ga_s2am_ard_3-2-1_51JXG_2023-06-16_final.stac-item
2023-06-16 11:26:01	ga_s2am_ard_3-2-1_51JWG_2023-06-16_final.stac-item
2023-06-16 11:26:04	ga_s2am_ard_3-2-1_51JVG_2023-06-16_final.stac-item
2023-06-16 11:26:15	ga_s2am_ard_3-2-1_51JWF_2023-06-16_final.stac-item
2023-06-16 11:26:19	ga_s2am_ard_3-2-1_51JVF_2023-06-16_final.stac-item
2023-06-16 11:26:26	ga_s2am_ard_3-2-1_51HXE_2023-06-16_final.stac-item
2023-06-16 11:26:36	ga_s2am_ard_3-2-1_51HUE_2023-06-16_final.stac-item
2023-06-16 11:26:44	ga_s2am_ard_3-2-1_51HWD_2023-06-16_final.stac-item
2023-06-16 11:26:48	ga_s2am_ard_3-2-1_51HVD_2023-06-16_final.stac-item
2023-06-16 11:26:51	ga_s2am_ard_3-2-1_51HXC_2023-06-16_final.stac-item
2023-06-16 11:26:59	ga_s2am_ard_3-2-1_51HWC_2023-06-16_final.stac-item
2023-06-16 11:27:02	ga_s2am_ard_3-2-1_51HVC_2023-06-16_final.stac-item
2023-06-16 11:27:11	ga_s2am_ard_3-2-1_51HTC_2023-06-16_final.stac-item
2023-06-16 11:27:13	ga_s2am_ard_3-2-1_51HWB_2023-06-16_final.stac-item
2023-06-16 11:27:20	ga_s2am_ard_3-2-1_51HWA_2023-06-16_nrt.stac-item
2023-06-17 09:14:47	ga_s2am_ard_3-2-1_56JPP_2023-06-16_nrt.stac-item
2023-06-17 09:15:11	ga_s2am_ard_3-2-1_56JPM_2023-06-16_nrt.stac-item
2023-06-17 09:15:26	ga_s2am_ard_3-2-1_56JPL_2023-06-16_nrt.stac-item

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

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