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
2023-01-19 12:06:11	ga_s2am_ard_3-2-1_49JFG_2023-01-19_nrt.stac-item
2023-01-20 09:49:31	ga_s2am_ard_3-2-1_56LMP_2023-01-20_nrt.stac-item
2023-01-20 09:49:35	ga_s2am_ard_3-2-1_56LLP_2023-01-20_nrt.stac-item
2023-01-20 09:49:38	ga_s2am_ard_3-2-1_56LKP_2023-01-20_nrt.stac-item
2023-01-20 09:49:40	ga_s2am_ard_3-2-1_55LHJ_2023-01-20_nrt.stac-item
2023-01-20 09:49:44	ga_s2am_ard_3-2-1_55LGJ_2023-01-20_nrt.stac-item
2023-01-20 09:49:54	ga_s2am_ard_3-2-1_56LMM_2023-01-20_nrt.stac-item
2023-01-20 09:49:59	ga_s2am_ard_3-2-1_56LLM_2023-01-20_nrt.stac-item
2023-01-20 09:50:00	ga_s2am_ard_3-2-1_56LKM_2023-01-20_nrt.stac-item
2023-01-20 09:50:01	ga_s2am_ard_3-2-1_55LHG_2023-01-20_nrt.stac-item
2023-01-20 09:51:13	ga_s2am_ard_3-2-1_55LFC_2023-01-20_final.stac-item
2023-01-20 09:51:28	ga_s2am_ard_3-2-1_55KFB_2023-01-20_final.stac-item
2023-01-20 09:51:34	ga_s2am_ard_3-2-1_56KKF_2023-01-20_final.stac-item
2023-01-20 09:51:35	ga_s2am_ard_3-2-1_55KHA_2023-01-20_nrt.stac-item
2023-01-20 09:51:39	ga_s2am_ard_3-2-1_55KGA_2023-01-20_final.stac-item
2023-01-20 09:51:48	ga_s2am_ard_3-2-1_55KEA_2023-01-20_final.stac-item
2023-01-20 09:51:50	ga_s2am_ard_3-2-1_55KHV_2023-01-20_nrt.stac-item
2023-01-20 09:51:57	ga_s2am_ard_3-2-1_55KFV_2023-01-20_final.stac-item
2023-01-20 09:52:00	ga_s2am_ard_3-2-1_55KEV_2023-01-20_final.stac-item
2023-01-20 09:52:12	ga_s2am_ard_3-2-1_55KFU_2023-01-20_final.stac-item
2023-01-20 09:52:29	ga_s2am_ard_3-2-1_55KET_2023-01-20_final.stac-item
2023-01-20 09:52:37	ga_s2am_ard_3-2-1_55KGS_2023-01-20_final.stac-item
2023-01-20 09:52:44	ga_s2am_ard_3-2-1_55KES_2023-01-20_final.stac-item
2023-01-20 09:52:50	ga_s2am_ard_3-2-1_55KDS_2023-01-20_final.stac-item
2023-01-20 09:52:51	ga_s2am_ard_3-2-1_55KGR_2023-01-20_final.stac-item
2023-01-20 09:52:55	ga_s2am_ard_3-2-1_55KFR_2023-01-20_final.stac-item
2023-01-20 09:53:28	ga_s2am_ard_3-2-1_55KEP_2023-01-20_final.stac-item
2023-01-20 09:53:31	ga_s2am_ard_3-2-1_55KDP_2023-01-20_final.stac-item
2023-01-20 09:53:53	ga_s2am_ard_3-2-1_55JCN_2023-01-20_final.stac-item
2023-01-20 09:54:11	ga_s2am_ard_3-2-1_55JEL_2023-01-20_final.stac-item
2023-01-20 09:54:22	ga_s2am_ard_3-2-1_55JFK_2023-01-20_final.stac-item
2023-01-20 09:54:32	ga_s2am_ard_3-2-1_55JCK_2023-01-20_final.stac-item
2023-01-20 09:55:09	ga_s2am_ard_3-2-1_55JEG_2023-01-20_final.stac-item
2023-01-20 09:55:13	ga_s2am_ard_3-2-1_55JDG_2023-01-20_final.stac-item
2023-01-20 09:55:16	ga_s2am_ard_3-2-1_55JCG_2023-01-20_final.stac-item
2023-01-20 09:55:24	ga_s2am_ard_3-2-1_55JEF_2023-01-20_final.stac-item
2023-01-20 09:55:27	ga_s2am_ard_3-2-1_55JDF_2023-01-20_final.stac-item
2023-01-20 09:55:37	ga_s2am_ard_3-2-1_55HEE_2023-01-20_final.stac-item
2023-01-20 09:55:42	ga_s2am_ard_3-2-1_55HDE_2023-01-20_final.stac-item
2023-01-20 09:55:45	ga_s2am_ard_3-2-1_55HCE_2023-01-20_final.stac-item
2023-01-20 09:55:48	ga_s2am_ard_3-2-1_55HBE_2023-01-20_final.stac-item
2023-01-20 09:56:03	ga_s2am_ard_3-2-1_55HBD_2023-01-20_final.stac-item
2023-01-20 09:56:05	ga_s2am_ard_3-2-1_54HYJ_2023-01-20_final.stac-item
2023-01-20 09:56:17	ga_s2am_ard_3-2-1_55HBC_2023-01-20_final.stac-item
2023-01-20 09:56:19	ga_s2am_ard_3-2-1_54HYH_2023-01-20_final.stac-item
2023-01-20 09:56:40	ga_s2am_ard_3-2-1_55HDA_2023-01-20_final.stac-item
2023-01-20 09:56:53	ga_s2am_ard_3-2-1_55HDV_2023-01-20_final.stac-item
2023-01-20 09:56:58	ga_s2am_ard_3-2-1_55HCV_2023-01-20_final.stac-item
2023-01-20 09:57:02	ga_s2am_ard_3-2-1_54HYE_2023-01-20_final.stac-item
2023-01-20 09:57:06	ga_s2am_ard_3-2-1_54HXE_2023-01-20_final.stac-item
2023-01-20 09:57:42	ga_s2am_ard_3-2-1_55HCS_2023-01-20_final.stac-item
2023-01-20 09:57:45	ga_s2am_ard_3-2-1_55HBS_2023-01-20_final.stac-item
2023-01-20 09:57:45	ga_s2am_ard_3-2-1_54HYB_2023-01-20_final.stac-item
2023-01-20 09:57:49	ga_s2am_ard_3-2-1_54HXB_2023-01-20_final.stac-item
2023-01-20 09:57:53	ga_s2am_ard_3-2-1_54HWB_2023-01-20_nrt.stac-item
2023-01-20 11:30:09	ga_s2am_ard_3-2-1_52LCP_2023-01-20_nrt.stac-item
2023-01-20 11:30:15	ga_s2am_ard_3-2-1_52LBP_2023-01-20_nrt.stac-item
2023-01-20 11:30:18	ga_s2am_ard_3-2-1_51LZJ_2023-01-20_nrt.stac-item
2023-01-20 11:30:21	ga_s2am_ard_3-2-1_51LYJ_2023-01-20_nrt.stac-item
2023-01-20 11:30:24	ga_s2am_ard_3-2-1_51LXJ_2023-01-20_nrt.stac-item
2023-01-20 11:30:45	ga_s2am_ard_3-2-1_52LBM_2023-01-20_nrt.stac-item
2023-01-20 11:30:46	ga_s2am_ard_3-2-1_51LZG_2023-01-20_nrt.stac-item
2023-01-20 11:30:50	ga_s2am_ard_3-2-1_51LYG_2023-01-20_nrt.stac-item
2023-01-20 11:30:53	ga_s2am_ard_3-2-1_51LXG_2023-01-20_nrt.stac-item
2023-01-20 11:31:13	ga_s2am_ard_3-2-1_52LBK_2023-01-20_final.stac-item
2023-01-20 11:31:15	ga_s2am_ard_3-2-1_51LZE_2023-01-20_final.stac-item
2023-01-20 11:31:19	ga_s2am_ard_3-2-1_51LYE_2023-01-20_final.stac-item
2023-01-20 11:32:06	ga_s2am_ard_3-2-1_51KXB_2023-01-20_final.stac-item
2023-01-20 11:32:09	ga_s2am_ard_3-2-1_51KWB_2023-01-20_final.stac-item
2023-01-20 11:32:14	ga_s2am_ard_3-2-1_51KVB_2023-01-20_final.stac-item
2023-01-20 11:32:17	ga_s2am_ard_3-2-1_51KYA_2023-01-20_final.stac-item
2023-01-20 11:32:24	ga_s2am_ard_3-2-1_51KWA_2023-01-20_final.stac-item
2023-01-20 11:32:27	ga_s2am_ard_3-2-1_51KVA_2023-01-20_final.stac-item
2023-01-20 11:32:35	ga_s2am_ard_3-2-1_51KXV_2023-01-20_final.stac-item
2023-01-20 11:32:38	ga_s2am_ard_3-2-1_51KWV_2023-01-20_final.stac-item
2023-01-20 11:32:41	ga_s2am_ard_3-2-1_51KVV_2023-01-20_final.stac-item
2023-01-20 11:32:49	ga_s2am_ard_3-2-1_51KXU_2023-01-20_final.stac-item
2023-01-20 11:33:07	ga_s2am_ard_3-2-1_51KWT_2023-01-20_final.stac-item
2023-01-20 11:33:11	ga_s2am_ard_3-2-1_51KVT_2023-01-20_final.stac-item
2023-01-20 11:33:17	ga_s2am_ard_3-2-1_51KUT_2023-01-20_final.stac-item
2023-01-20 11:33:22	ga_s2am_ard_3-2-1_51KWS_2023-01-20_final.stac-item
2023-01-20 11:33:25	ga_s2am_ard_3-2-1_51KVS_2023-01-20_final.stac-item
2023-01-20 11:33:33	ga_s2am_ard_3-2-1_51KXR_2023-01-20_final.stac-item
2023-01-20 11:33:43	ga_s2am_ard_3-2-1_51KUR_2023-01-20_final.stac-item
2023-01-20 11:34:05	ga_s2am_ard_3-2-1_51KWP_2023-01-20_final.stac-item
2023-01-20 11:34:09	ga_s2am_ard_3-2-1_51KVP_2023-01-20_final.stac-item
2023-01-20 11:34:27	ga_s2am_ard_3-2-1_51JUN_2023-01-20_final.stac-item
2023-01-20 11:34:49	ga_s2am_ard_3-2-1_51JWL_2023-01-20_final.stac-item
2023-01-20 11:34:52	ga_s2am_ard_3-2-1_51JVL_2023-01-20_final.stac-item
2023-01-20 11:35:10	ga_s2am_ard_3-2-1_51JUK_2023-01-20_final.stac-item
2023-01-20 11:35:51	ga_s2am_ard_3-2-1_51JVG_2023-01-20_final.stac-item
2023-01-20 11:35:54	ga_s2am_ard_3-2-1_51JUG_2023-01-20_final.stac-item
2023-01-20 11:36:05	ga_s2am_ard_3-2-1_51JVF_2023-01-20_final.stac-item
2023-01-20 11:36:21	ga_s2am_ard_3-2-1_50JPL_2023-01-20_final.stac-item
2023-01-20 11:36:23	ga_s2am_ard_3-2-1_51HUE_2023-01-20_final.stac-item
2023-01-20 11:36:26	ga_s2am_ard_3-2-1_51HTE_2023-01-20_final.stac-item
2023-01-20 11:36:33	ga_s2am_ard_3-2-1_50HPK_2023-01-20_final.stac-item
2023-01-20 11:36:41	ga_s2am_ard_3-2-1_51HTD_2023-01-20_final.stac-item
2023-01-20 11:36:43	ga_s2am_ard_3-2-1_50HQJ_2023-01-20_final.stac-item
2023-01-20 11:36:55	ga_s2am_ard_3-2-1_51HTC_2023-01-20_final.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

Other products

All years