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
2023-12-12 11:57:22	ga_s2am_ard_3-2-1_49HFB_2023-12-12_nrt.stac-item
2023-12-12 11:57:22	ga_s2am_ard_3-2-1_50HMF_2023-12-12_final.stac-item
2023-12-13 09:39:55	ga_s2am_ard_3-2-1_56LLN_2023-12-13_nrt.stac-item
2023-12-13 09:41:16	ga_s2am_ard_3-2-1_56KNG_2023-12-13_nrt.stac-item
2023-12-13 09:41:19	ga_s2am_ard_3-2-1_56KMG_2023-12-13_final.stac-item
2023-12-13 09:41:25	ga_s2am_ard_3-2-1_56KKG_2023-12-13_final.stac-item
2023-12-13 09:41:28	ga_s2am_ard_3-2-1_55KHB_2023-12-13_final.stac-item
2023-12-13 09:41:51	ga_s2am_ard_3-2-1_56KLE_2023-12-13_final.stac-item
2023-12-13 09:42:10	ga_s2am_ard_3-2-1_55KHU_2023-12-13_final.stac-item
2023-12-13 09:42:24	ga_s2am_ard_3-2-1_55KHT_2023-12-13_final.stac-item
2023-12-13 09:42:39	ga_s2am_ard_3-2-1_55KHS_2023-12-13_final.stac-item
2023-12-13 09:42:53	ga_s2am_ard_3-2-1_55KHR_2023-12-13_final.stac-item
2023-12-13 09:43:08	ga_s2am_ard_3-2-1_55KHQ_2023-12-13_final.stac-item
2023-12-13 09:43:22	ga_s2am_ard_3-2-1_55KHP_2023-12-13_final.stac-item
2023-12-13 09:43:36	ga_s2am_ard_3-2-1_55JHN_2023-12-13_final.stac-item
2023-12-13 09:43:48	ga_s2am_ard_3-2-1_56JLS_2023-12-13_final.stac-item
2023-12-13 09:43:51	ga_s2am_ard_3-2-1_55JHM_2023-12-13_final.stac-item
2023-12-13 09:44:01	ga_s2am_ard_3-2-1_56JLR_2023-12-13_final.stac-item
2023-12-13 09:44:06	ga_s2am_ard_3-2-1_56JKR_2023-12-13_final.stac-item
2023-12-13 09:44:09	ga_s2am_ard_3-2-1_55JGL_2023-12-13_final.stac-item
2023-12-13 09:44:12	ga_s2am_ard_3-2-1_56JLQ_2023-12-13_final.stac-item
2023-12-13 09:44:13	ga_s2am_ard_3-2-1_55JFL_2023-12-13_final.stac-item
2023-12-13 09:44:20	ga_s2am_ard_3-2-1_56JKQ_2023-12-13_final.stac-item
2023-12-13 09:44:20	ga_s2am_ard_3-2-1_55JEL_2023-12-13_final.stac-item
2023-12-13 09:44:27	ga_s2am_ard_3-2-1_55JFK_2023-12-13_final.stac-item
2023-12-13 09:44:31	ga_s2am_ard_3-2-1_55JEK_2023-12-13_final.stac-item
2023-12-13 09:44:49	ga_s2am_ard_3-2-1_56JKN_2023-12-13_final.stac-item
2023-12-13 09:44:52	ga_s2am_ard_3-2-1_55JGH_2023-12-13_final.stac-item
2023-12-13 09:44:56	ga_s2am_ard_3-2-1_55JFH_2023-12-13_final.stac-item
2023-12-13 09:45:00	ga_s2am_ard_3-2-1_55JEH_2023-12-13_final.stac-item
2023-12-13 09:45:25	ga_s2am_ard_3-2-1_55JFF_2023-12-13_final.stac-item
2023-12-13 09:45:39	ga_s2am_ard_3-2-1_55HFE_2023-12-13_final.stac-item
2023-12-13 09:45:43	ga_s2am_ard_3-2-1_55HEE_2023-12-13_final.stac-item
2023-12-13 09:45:54	ga_s2am_ard_3-2-1_55HFD_2023-12-13_final.stac-item
2023-12-13 09:46:08	ga_s2am_ard_3-2-1_55HFC_2023-12-13_final.stac-item
2023-12-13 09:46:13	ga_s2am_ard_3-2-1_55HGB_2023-12-13_final.stac-item
2023-12-13 09:46:23	ga_s2am_ard_3-2-1_55HFB_2023-12-13_final.stac-item
2023-12-13 09:46:37	ga_s2am_ard_3-2-1_55HFA_2023-12-13_final.stac-item
2023-12-13 09:46:48	ga_s2am_ard_3-2-1_55HCA_2023-12-13_final.stac-item
2023-12-13 09:47:15	ga_s2am_ard_3-2-1_55HFT_2023-12-13_final.stac-item
2023-12-13 09:47:21	ga_s2am_ard_3-2-1_55HET_2023-12-13_final.stac-item
2023-12-13 09:47:24	ga_s2am_ard_3-2-1_55HDT_2023-12-13_final.stac-item
2023-12-13 09:47:25	ga_s2am_ard_3-2-1_55HCT_2023-12-13_final.stac-item
2023-12-13 09:47:27	ga_s2am_ard_3-2-1_55HBT_2023-12-13_final.stac-item
2023-12-13 09:47:28	ga_s2am_ard_3-2-1_55HET_2023-12-13_final.stac-item
2023-12-13 09:47:30	ga_s2am_ard_3-2-1_55HDT_2023-12-13_final.stac-item
2023-12-13 09:47:32	ga_s2am_ard_3-2-1_55HCT_2023-12-13_final.stac-item
2023-12-13 09:47:36	ga_s2am_ard_3-2-1_55HBT_2023-12-13_final.stac-item
2023-12-13 09:47:40	ga_s2am_ard_3-2-1_54HYC_2023-12-13_final.stac-item
2023-12-13 09:47:54	ga_s2am_ard_3-2-1_55GER_2023-12-13_final.stac-item
2023-12-13 09:47:57	ga_s2am_ard_3-2-1_55GDR_2023-12-13_final.stac-item
2023-12-13 09:48:01	ga_s2am_ard_3-2-1_55GCR_2023-12-13_final.stac-item
2023-12-13 09:48:04	ga_s2am_ard_3-2-1_55GBR_2023-12-13_final.stac-item
2023-12-13 09:48:04	ga_s2am_ard_3-2-1_54GYA_2023-12-13_final.stac-item
2023-12-13 09:48:17	ga_s2am_ard_3-2-1_55GEP_2023-12-13_final.stac-item
2023-12-13 09:48:19	ga_s2am_ard_3-2-1_55GBQ_2023-12-13_final.stac-item
2023-12-13 09:48:19	ga_s2am_ard_3-2-1_54GYV_2023-12-13_final.stac-item
2023-12-13 09:48:26	ga_s2am_ard_3-2-1_55GDP_2023-12-13_final.stac-item
2023-12-13 09:48:30	ga_s2am_ard_3-2-1_55GCP_2023-12-13_final.stac-item
2023-12-13 09:48:33	ga_s2am_ard_3-2-1_54GYU_2023-12-13_nrt.stac-item
2023-12-13 09:48:33	ga_s2am_ard_3-2-1_55GBP_2023-12-13_final.stac-item
2023-12-13 09:48:38	ga_s2am_ard_3-2-1_54GXU_2023-12-13_nrt.stac-item
2023-12-13 11:21:54	ga_s2am_ard_3-2-1_51LYC_2023-12-13_final.stac-item
2023-12-13 11:22:03	ga_s2am_ard_3-2-1_52KBG_2023-12-13_final.stac-item
2023-12-13 11:22:04	ga_s2am_ard_3-2-1_51KZB_2023-12-13_final.stac-item
2023-12-13 11:22:07	ga_s2am_ard_3-2-1_51KYB_2023-12-13_final.stac-item
2023-12-13 11:22:29	ga_s2am_ard_3-2-1_52KCE_2023-12-13_final.stac-item
2023-12-13 11:22:48	ga_s2am_ard_3-2-1_51KZU_2023-12-13_final.stac-item
2023-12-13 11:23:02	ga_s2am_ard_3-2-1_51KZT_2023-12-13_final.stac-item
2023-12-13 11:23:17	ga_s2am_ard_3-2-1_51KZS_2023-12-13_final.stac-item
2023-12-13 11:23:31	ga_s2am_ard_3-2-1_51KZR_2023-12-13_final.stac-item
2023-12-13 11:23:45	ga_s2am_ard_3-2-1_51KZQ_2023-12-13_final.stac-item
2023-12-13 11:24:00	ga_s2am_ard_3-2-1_51KZP_2023-12-13_final.stac-item
2023-12-13 11:24:14	ga_s2am_ard_3-2-1_51JZN_2023-12-13_final.stac-item
2023-12-13 11:24:24	ga_s2am_ard_3-2-1_52JBS_2023-12-13_final.stac-item
2023-12-13 11:24:24	ga_s2am_ard_3-2-1_51JZM_2023-12-13_final.stac-item
2023-12-13 11:24:27	ga_s2am_ard_3-2-1_51JXN_2023-12-13_final.stac-item
2023-12-13 11:24:28	ga_s2am_ard_3-2-1_51JXM_2023-12-13_final.stac-item
2023-12-13 11:24:29	ga_s2am_ard_3-2-1_51JWN_2023-12-13_final.stac-item
2023-12-13 11:24:29	ga_s2am_ard_3-2-1_51JZM_2023-12-13_final.stac-item
2023-12-13 11:24:39	ga_s2am_ard_3-2-1_52JBR_2023-12-13_final.stac-item
2023-12-13 11:24:47	ga_s2am_ard_3-2-1_51JYL_2023-12-13_final.stac-item
2023-12-13 11:24:51	ga_s2am_ard_3-2-1_51JXL_2023-12-13_final.stac-item
2023-12-13 11:25:01	ga_s2am_ard_3-2-1_51JYK_2023-12-13_final.stac-item
2023-12-13 11:25:05	ga_s2am_ard_3-2-1_51JXK_2023-12-13_final.stac-item
2023-12-13 11:25:08	ga_s2am_ard_3-2-1_51JWK_2023-12-13_final.stac-item
2023-12-13 11:25:12	ga_s2am_ard_3-2-1_51JVK_2023-12-13_final.stac-item
2023-12-13 11:25:29	ga_s2am_ard_3-2-1_51JYH_2023-12-13_final.stac-item
2023-12-13 11:25:34	ga_s2am_ard_3-2-1_51JXH_2023-12-13_final.stac-item
2023-12-13 11:25:38	ga_s2am_ard_3-2-1_51JWH_2023-12-13_final.stac-item
2023-12-13 11:25:41	ga_s2am_ard_3-2-1_51JVH_2023-12-13_final.stac-item
2023-12-13 11:26:01	ga_s2am_ard_3-2-1_51JUG_2023-12-13_final.stac-item
2023-12-13 11:26:03	ga_s2am_ard_3-2-1_51JXF_2023-12-13_final.stac-item
2023-12-13 11:26:13	ga_s2am_ard_3-2-1_51JUF_2023-12-13_final.stac-item
2023-12-13 11:26:18	ga_s2am_ard_3-2-1_51HXE_2023-12-13_final.stac-item
2023-12-13 11:26:21	ga_s2am_ard_3-2-1_51HWE_2023-12-13_final.stac-item
2023-12-13 11:26:25	ga_s2am_ard_3-2-1_51HVE_2023-12-13_final.stac-item
2023-12-13 11:26:28	ga_s2am_ard_3-2-1_51HUE_2023-12-13_final.stac-item
2023-12-13 11:26:31	ga_s2am_ard_3-2-1_51HXD_2023-12-13_final.stac-item
2023-12-13 11:26:43	ga_s2am_ard_3-2-1_51HUD_2023-12-13_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