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
2022-12-17 11:56:43	ga_s2am_ard_3-2-1_50HKK_2022-12-17_nrt.stac-item
2022-12-17 11:56:45	ga_s2am_ard_3-2-1_49HGE_2022-12-17_nrt.stac-item
2022-12-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2022-12-17_final.stac-item
2022-12-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-12-17_final.stac-item
2022-12-17 11:57:22	ga_s2am_ard_3-2-1_49HFC_2022-12-17_nrt.stac-item
2022-12-17 11:57:22	ga_s2am_ard_3-2-1_50HLG_2022-12-17_final.stac-item
2022-12-17 11:57:24	ga_s2am_ard_3-2-1_50HKG_2022-12-17_nrt.stac-item
2022-12-17 11:57:25	ga_s2am_ard_3-2-1_49HGB_2022-12-17_nrt.stac-item
2022-12-17 11:57:27	ga_s2am_ard_3-2-1_49HFB_2022-12-17_nrt.stac-item
2022-12-18 09:44:05	ga_s2am_ard_3-2-1_56JLR_2022-12-18_final.stac-item
2022-12-18 09:44:15	ga_s2am_ard_3-2-1_56JLQ_2022-12-18_final.stac-item
2022-12-18 09:44:16	ga_s2am_ard_3-2-1_55JFL_2022-12-18_final.stac-item
2022-12-18 09:44:24	ga_s2am_ard_3-2-1_56JKQ_2022-12-18_final.stac-item
2022-12-18 09:44:24	ga_s2am_ard_3-2-1_55JEL_2022-12-18_final.stac-item
2022-12-18 09:44:27	ga_s2am_ard_3-2-1_55JGK_2022-12-18_final.stac-item
2022-12-18 09:44:31	ga_s2am_ard_3-2-1_55JFK_2022-12-18_final.stac-item
2022-12-18 09:44:35	ga_s2am_ard_3-2-1_55JEK_2022-12-18_final.stac-item
2022-12-18 09:44:41	ga_s2am_ard_3-2-1_55JGJ_2022-12-18_final.stac-item
2022-12-18 09:44:45	ga_s2am_ard_3-2-1_55JFJ_2022-12-18_final.stac-item
2022-12-18 09:44:53	ga_s2am_ard_3-2-1_56JKN_2022-12-18_final.stac-item
2022-12-18 09:44:56	ga_s2am_ard_3-2-1_55JGH_2022-12-18_final.stac-item
2022-12-18 09:45:00	ga_s2am_ard_3-2-1_55JFH_2022-12-18_final.stac-item
2022-12-18 09:45:03	ga_s2am_ard_3-2-1_55JEH_2022-12-18_final.stac-item
2022-12-18 09:45:07	ga_s2am_ard_3-2-1_56JKM_2022-12-18_final.stac-item
2022-12-18 09:45:14	ga_s2am_ard_3-2-1_55JFG_2022-12-18_final.stac-item
2022-12-18 09:45:21	ga_s2am_ard_3-2-1_56JKL_2022-12-18_final.stac-item
2022-12-18 09:45:24	ga_s2am_ard_3-2-1_55JGF_2022-12-18_final.stac-item
2022-12-18 09:45:32	ga_s2am_ard_3-2-1_56HKK_2022-12-18_final.stac-item
2022-12-18 09:45:39	ga_s2am_ard_3-2-1_55HGE_2022-12-18_final.stac-item
2022-12-18 09:45:43	ga_s2am_ard_3-2-1_55HFE_2022-12-18_final.stac-item
2022-12-18 09:45:47	ga_s2am_ard_3-2-1_55HEE_2022-12-18_final.stac-item
2022-12-18 09:45:50	ga_s2am_ard_3-2-1_55HDE_2022-12-18_final.stac-item
2022-12-18 09:45:58	ga_s2am_ard_3-2-1_55HFD_2022-12-18_final.stac-item
2022-12-18 09:46:12	ga_s2am_ard_3-2-1_55HFC_2022-12-18_final.stac-item
2022-12-18 09:46:16	ga_s2am_ard_3-2-1_55HGB_2022-12-18_final.stac-item
2022-12-18 09:46:26	ga_s2am_ard_3-2-1_55HFB_2022-12-18_final.stac-item
2022-12-18 09:47:13	ga_s2am_ard_3-2-1_55HEU_2022-12-18_final.stac-item
2022-12-18 09:47:17	ga_s2am_ard_3-2-1_55HDU_2022-12-18_final.stac-item
2022-12-18 09:47:18	ga_s2am_ard_3-2-1_55HFT_2022-12-18_final.stac-item
2022-12-18 09:47:23	ga_s2am_ard_3-2-1_55HET_2022-12-18_final.stac-item
2022-12-18 09:47:25	ga_s2am_ard_3-2-1_55HDT_2022-12-18_final.stac-item
2022-12-18 09:47:25	ga_s2am_ard_3-2-1_55HDU_2022-12-18_final.stac-item
2022-12-18 09:47:26	ga_s2am_ard_3-2-1_55HCT_2022-12-18_final.stac-item
2022-12-18 09:47:30	ga_s2am_ard_3-2-1_55HET_2022-12-18_final.stac-item
2022-12-18 09:47:32	ga_s2am_ard_3-2-1_55HDT_2022-12-18_final.stac-item
2022-12-18 09:47:35	ga_s2am_ard_3-2-1_55HCT_2022-12-18_final.stac-item
2022-12-18 09:47:39	ga_s2am_ard_3-2-1_55HBT_2022-12-18_final.stac-item
2022-12-18 09:47:42	ga_s2am_ard_3-2-1_55HES_2022-12-18_final.stac-item
2022-12-18 09:47:43	ga_s2am_ard_3-2-1_54HYC_2022-12-18_final.stac-item
2022-12-18 09:47:50	ga_s2am_ard_3-2-1_55HCS_2022-12-18_final.stac-item
2022-12-18 09:47:53	ga_s2am_ard_3-2-1_55HBS_2022-12-18_final.stac-item
2022-12-18 09:47:57	ga_s2am_ard_3-2-1_55GER_2022-12-18_final.stac-item
2022-12-18 09:48:01	ga_s2am_ard_3-2-1_55GDR_2022-12-18_final.stac-item
2022-12-18 09:48:04	ga_s2am_ard_3-2-1_55GCR_2022-12-18_final.stac-item
2022-12-18 09:48:08	ga_s2am_ard_3-2-1_55GBR_2022-12-18_final.stac-item
2022-12-18 09:48:08	ga_s2am_ard_3-2-1_54GYA_2022-12-18_final.stac-item
2022-12-18 09:48:10	ga_s2am_ard_3-2-1_55GEQ_2022-12-18_final.stac-item
2022-12-18 09:48:15	ga_s2am_ard_3-2-1_55GDQ_2022-12-18_final.stac-item
2022-12-18 09:48:19	ga_s2am_ard_3-2-1_55GCQ_2022-12-18_final.stac-item
2022-12-18 09:48:21	ga_s2am_ard_3-2-1_55GEP_2022-12-18_final.stac-item
2022-12-18 09:48:22	ga_s2am_ard_3-2-1_55GBQ_2022-12-18_final.stac-item
2022-12-18 09:48:22	ga_s2am_ard_3-2-1_54GYV_2022-12-18_final.stac-item
2022-12-18 09:48:30	ga_s2am_ard_3-2-1_55GDP_2022-12-18_final.stac-item
2022-12-18 09:48:33	ga_s2am_ard_3-2-1_55GCP_2022-12-18_final.stac-item
2022-12-18 09:48:37	ga_s2am_ard_3-2-1_54GYU_2022-12-18_nrt.stac-item
2022-12-18 09:48:37	ga_s2am_ard_3-2-1_55GBP_2022-12-18_nrt.stac-item
2022-12-18 09:48:42	ga_s2am_ard_3-2-1_54GXU_2022-12-18_nrt.stac-item
2022-12-18 09:48:44	ga_s2am_ard_3-2-1_55GDN_2022-12-18_final.stac-item
2022-12-18 09:48:48	ga_s2am_ard_3-2-1_55GCN_2022-12-18_final.stac-item
2022-12-18 09:48:51	ga_s2am_ard_3-2-1_54GYT_2022-12-18_nrt.stac-item
2022-12-18 09:48:55	ga_s2am_ard_3-2-1_54GXT_2022-12-18_nrt.stac-item
2022-12-18 09:48:57	ga_s2am_ard_3-2-1_55GDM_2022-12-18_final.stac-item
2022-12-18 09:48:59	ga_s2am_ard_3-2-1_55GCM_2022-12-18_final.stac-item
2022-12-18 09:49:01	ga_s2am_ard_3-2-1_54GYS_2022-12-18_nrt.stac-item
2022-12-18 09:49:02	ga_s2am_ard_3-2-1_54GXS_2022-12-18_nrt.stac-item
2022-12-18 11:21:38	ga_s2am_ard_3-2-1_52LBJ_2022-12-18_final.stac-item
2022-12-18 11:21:39	ga_s2am_ard_3-2-1_51LZD_2022-12-18_final.stac-item
2022-12-18 11:24:54	ga_s2am_ard_3-2-1_51JXL_2022-12-18_final.stac-item
2022-12-18 11:25:02	ga_s2am_ard_3-2-1_51JVL_2022-12-18_final.stac-item
2022-12-18 11:25:05	ga_s2am_ard_3-2-1_51JYK_2022-12-18_final.stac-item
2022-12-18 11:25:12	ga_s2am_ard_3-2-1_51JWK_2022-12-18_final.stac-item
2022-12-18 11:25:15	ga_s2am_ard_3-2-1_51JVK_2022-12-18_final.stac-item
2022-12-18 11:25:19	ga_s2am_ard_3-2-1_51JYJ_2022-12-18_final.stac-item
2022-12-18 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2022-12-18_final.stac-item
2022-12-18 11:25:33	ga_s2am_ard_3-2-1_51JYH_2022-12-18_final.stac-item
2022-12-18 11:25:37	ga_s2am_ard_3-2-1_51JXH_2022-12-18_final.stac-item
2022-12-18 11:25:41	ga_s2am_ard_3-2-1_51JWH_2022-12-18_final.stac-item
2022-12-18 11:25:44	ga_s2am_ard_3-2-1_51JYG_2022-12-18_final.stac-item
2022-12-18 11:25:45	ga_s2am_ard_3-2-1_51JVH_2022-12-18_final.stac-item
2022-12-18 11:25:52	ga_s2am_ard_3-2-1_51JXG_2022-12-18_final.stac-item
2022-12-18 11:26:06	ga_s2am_ard_3-2-1_51JXF_2022-12-18_final.stac-item
2022-12-18 11:26:17	ga_s2am_ard_3-2-1_51JUF_2022-12-18_final.stac-item
2022-12-18 11:26:21	ga_s2am_ard_3-2-1_51HXE_2022-12-18_final.stac-item
2022-12-18 11:26:25	ga_s2am_ard_3-2-1_51HWE_2022-12-18_final.stac-item
2022-12-18 11:26:35	ga_s2am_ard_3-2-1_51HXD_2022-12-18_final.stac-item
2022-12-18 11:26:46	ga_s2am_ard_3-2-1_51HUD_2022-12-18_final.stac-item
2022-12-18 11:27:01	ga_s2am_ard_3-2-1_51HUC_2022-12-18_final.stac-item
2022-12-18 11:27:07	ga_s2am_ard_3-2-1_51HWB_2022-12-18_final.stac-item
2022-12-18 11:27:09	ga_s2am_ard_3-2-1_51HVB_2022-12-18_final.stac-item
2022-12-18 11:27:11	ga_s2am_ard_3-2-1_51HUB_2022-12-18_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

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