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
2022-11-10 12:05:33	ga_s2am_ard_3-2-1_49JGK_2022-11-10_final.stac-item
2022-11-10 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2022-11-10_final.stac-item
2022-11-10 12:05:55	ga_s2am_ard_3-2-1_50JLN_2022-11-10_final.stac-item
2022-11-10 12:06:26	ga_s2am_ard_3-2-1_50JKL_2022-11-10_final.stac-item
2022-11-11 09:51:22	ga_s2am_ard_3-2-1_55LFC_2022-11-11_final.stac-item
2022-11-11 09:51:44	ga_s2am_ard_3-2-1_55KHA_2022-11-11_final.stac-item
2022-11-11 09:51:56	ga_s2am_ard_3-2-1_55KEA_2022-11-11_final.stac-item
2022-11-11 09:52:13	ga_s2am_ard_3-2-1_55KHU_2022-11-11_final.stac-item
2022-11-11 09:52:17	ga_s2am_ard_3-2-1_55KGU_2022-11-11_final.stac-item
2022-11-11 09:52:23	ga_s2am_ard_3-2-1_56KKC_2022-11-11_final.stac-item
2022-11-11 09:52:27	ga_s2am_ard_3-2-1_55KHT_2022-11-11_final.stac-item
2022-11-11 09:52:35	ga_s2am_ard_3-2-1_55KFT_2022-11-11_final.stac-item
2022-11-11 09:52:38	ga_s2am_ard_3-2-1_55KET_2022-11-11_final.stac-item
2022-11-11 09:52:53	ga_s2am_ard_3-2-1_55KES_2022-11-11_final.stac-item
2022-11-11 09:53:00	ga_s2am_ard_3-2-1_55KGR_2022-11-11_final.stac-item
2022-11-11 09:53:04	ga_s2am_ard_3-2-1_55KFR_2022-11-11_final.stac-item
2022-11-11 09:53:11	ga_s2am_ard_3-2-1_55KDR_2022-11-11_final.stac-item
2022-11-11 09:53:15	ga_s2am_ard_3-2-1_55KGQ_2022-11-11_final.stac-item
2022-11-11 09:53:22	ga_s2am_ard_3-2-1_55KEQ_2022-11-11_final.stac-item
2022-11-11 09:53:29	ga_s2am_ard_3-2-1_55KGP_2022-11-11_final.stac-item
2022-11-11 09:53:51	ga_s2am_ard_3-2-1_55JEN_2022-11-11_final.stac-item
2022-11-11 09:53:51	ga_s2am_ard_3-2-1_55JGM_2022-11-11_final.stac-item
2022-11-11 09:54:01	ga_s2am_ard_3-2-1_55JCN_2022-11-11_final.stac-item
2022-11-11 09:54:20	ga_s2am_ard_3-2-1_55JEL_2022-11-11_final.stac-item
2022-11-11 09:54:23	ga_s2am_ard_3-2-1_55JDL_2022-11-11_final.stac-item
2022-11-11 09:54:30	ga_s2am_ard_3-2-1_55JFK_2022-11-11_final.stac-item
2022-11-11 09:54:32	ga_s2am_ard_3-2-1_55JEK_2022-11-11_final.stac-item
2022-11-11 09:54:35	ga_s2am_ard_3-2-1_55JCK_2022-11-11_final.stac-item
2022-11-11 09:54:54	ga_s2am_ard_3-2-1_55JFH_2022-11-11_final.stac-item
2022-11-11 09:55:03	ga_s2am_ard_3-2-1_55JEH_2022-11-11_final.stac-item
2022-11-11 09:55:10	ga_s2am_ard_3-2-1_55JCH_2022-11-11_final.stac-item
2022-11-11 09:55:25	ga_s2am_ard_3-2-1_55JCG_2022-11-11_final.stac-item
2022-11-11 09:55:46	ga_s2am_ard_3-2-1_55HEE_2022-11-11_final.stac-item
2022-11-11 09:55:50	ga_s2am_ard_3-2-1_55HDE_2022-11-11_final.stac-item
2022-11-11 09:55:54	ga_s2am_ard_3-2-1_55HCE_2022-11-11_final.stac-item
2022-11-11 09:55:57	ga_s2am_ard_3-2-1_55HBE_2022-11-11_final.stac-item
2022-11-11 09:56:00	ga_s2am_ard_3-2-1_54HYK_2022-11-11_final.stac-item
2022-11-11 09:56:08	ga_s2am_ard_3-2-1_55HCD_2022-11-11_final.stac-item
2022-11-11 09:56:19	ga_s2am_ard_3-2-1_55HDC_2022-11-11_final.stac-item
2022-11-11 09:56:23	ga_s2am_ard_3-2-1_55HCC_2022-11-11_final.stac-item
2022-11-11 09:56:38	ga_s2am_ard_3-2-1_55HCB_2022-11-11_final.stac-item
2022-11-11 09:56:41	ga_s2am_ard_3-2-1_55HBB_2022-11-11_final.stac-item
2022-11-11 09:56:43	ga_s2am_ard_3-2-1_54HYG_2022-11-11_final.stac-item
2022-11-11 09:56:49	ga_s2am_ard_3-2-1_54HXG_2022-11-11_final.stac-item
2022-11-11 09:56:52	ga_s2am_ard_3-2-1_55HCA_2022-11-11_final.stac-item
2022-11-11 09:57:12	ga_s2am_ard_3-2-1_55HDU_2022-11-11_final.stac-item
2022-11-11 09:57:21	ga_s2am_ard_3-2-1_55HCU_2022-11-11_final.stac-item
2022-11-11 09:57:25	ga_s2am_ard_3-2-1_55HBU_2022-11-11_final.stac-item
2022-11-11 09:57:26	ga_s2am_ard_3-2-1_54HYD_2022-11-11_final.stac-item
2022-11-11 09:57:30	ga_s2am_ard_3-2-1_54HXD_2022-11-11_final.stac-item
2022-11-11 09:57:36	ga_s2am_ard_3-2-1_55HCT_2022-11-11_final.stac-item
2022-11-11 09:57:39	ga_s2am_ard_3-2-1_55HBT_2022-11-11_final.stac-item
2022-11-11 09:57:40	ga_s2am_ard_3-2-1_54HYC_2022-11-11_final.stac-item
2022-11-11 09:57:44	ga_s2am_ard_3-2-1_54HXC_2022-11-11_final.stac-item
2022-11-11 09:57:49	ga_s2am_ard_3-2-1_54HWC_2022-11-11_final.stac-item
2022-11-11 09:57:50	ga_s2am_ard_3-2-1_55HCS_2022-11-11_final.stac-item
2022-11-11 09:57:54	ga_s2am_ard_3-2-1_55HBS_2022-11-11_final.stac-item
2022-11-11 09:57:54	ga_s2am_ard_3-2-1_54HYB_2022-11-11_final.stac-item
2022-11-11 09:57:58	ga_s2am_ard_3-2-1_54HXB_2022-11-11_final.stac-item
2022-11-11 11:31:21	ga_s2am_ard_3-2-1_51LWF_2022-11-11_final.stac-item
2022-11-11 11:31:21	ga_s2am_ard_3-2-1_52LBK_2022-11-11_final.stac-item
2022-11-11 11:31:24	ga_s2am_ard_3-2-1_51LZE_2022-11-11_final.stac-item
2022-11-11 11:31:34	ga_s2am_ard_3-2-1_51LWE_2022-11-11_final.stac-item
2022-11-11 11:31:42	ga_s2am_ard_3-2-1_51LYD_2022-11-11_final.stac-item
2022-11-11 11:31:49	ga_s2am_ard_3-2-1_51LWD_2022-11-11_final.stac-item
2022-11-11 11:32:00	ga_s2am_ard_3-2-1_51LXC_2022-11-11_final.stac-item
2022-11-11 11:32:03	ga_s2am_ard_3-2-1_51LWC_2022-11-11_final.stac-item
2022-11-11 11:32:18	ga_s2am_ard_3-2-1_51KWB_2022-11-11_final.stac-item
2022-11-11 11:32:32	ga_s2am_ard_3-2-1_51KWA_2022-11-11_final.stac-item
2022-11-11 11:32:36	ga_s2am_ard_3-2-1_51KVA_2022-11-11_final.stac-item
2022-11-11 11:32:54	ga_s2am_ard_3-2-1_51KYU_2022-11-11_final.stac-item
2022-11-11 11:33:12	ga_s2am_ard_3-2-1_51KXT_2022-11-11_final.stac-item
2022-11-11 11:33:16	ga_s2am_ard_3-2-1_51KWT_2022-11-11_final.stac-item
2022-11-11 11:33:19	ga_s2am_ard_3-2-1_51KVT_2022-11-11_final.stac-item
2022-11-11 11:33:26	ga_s2am_ard_3-2-1_51KUT_2022-11-11_final.stac-item
2022-11-11 11:33:31	ga_s2am_ard_3-2-1_51KWS_2022-11-11_final.stac-item
2022-11-11 11:33:34	ga_s2am_ard_3-2-1_51KVS_2022-11-11_final.stac-item
2022-11-11 11:33:42	ga_s2am_ard_3-2-1_51KXR_2022-11-11_final.stac-item
2022-11-11 11:33:48	ga_s2am_ard_3-2-1_51KVR_2022-11-11_final.stac-item
2022-11-11 11:33:51	ga_s2am_ard_3-2-1_51KUR_2022-11-11_final.stac-item
2022-11-11 11:34:03	ga_s2am_ard_3-2-1_51KVQ_2022-11-11_final.stac-item
2022-11-11 11:34:14	ga_s2am_ard_3-2-1_51KWP_2022-11-11_final.stac-item
2022-11-11 11:34:18	ga_s2am_ard_3-2-1_51KVP_2022-11-11_final.stac-item
2022-11-11 11:35:19	ga_s2am_ard_3-2-1_51JUK_2022-11-11_final.stac-item
2022-11-11 11:35:40	ga_s2am_ard_3-2-1_50JQP_2022-11-11_final.stac-item
2022-11-11 11:35:48	ga_s2am_ard_3-2-1_51JUH_2022-11-11_final.stac-item
2022-11-11 11:36:06	ga_s2am_ard_3-2-1_51JTG_2022-11-11_final.stac-item
2022-11-11 11:36:21	ga_s2am_ard_3-2-1_51JTF_2022-11-11_final.stac-item
2022-11-11 11:36:23	ga_s2am_ard_3-2-1_50JQL_2022-11-11_final.stac-item
2022-11-11 11:36:32	ga_s2am_ard_3-2-1_51HUE_2022-11-11_final.stac-item
2022-11-11 11:36:37	ga_s2am_ard_3-2-1_51HVD_2022-11-11_final.stac-item
2022-11-11 11:36:37	ga_s2am_ard_3-2-1_50HQK_2022-11-11_final.stac-item
2022-11-11 11:36:41	ga_s2am_ard_3-2-1_50HPK_2022-11-11_final.stac-item
2022-11-11 11:36:46	ga_s2am_ard_3-2-1_51HUD_2022-11-11_final.stac-item
2022-11-11 11:36:55	ga_s2am_ard_3-2-1_50HPJ_2022-11-11_final.stac-item
2022-11-11 11:37:01	ga_s2am_ard_3-2-1_51HUC_2022-11-11_final.stac-item
2022-11-11 11:37:10	ga_s2am_ard_3-2-1_50HPH_2022-11-11_final.stac-item
2022-11-11 11:37:16	ga_s2am_ard_3-2-1_51HUB_2022-11-11_final.stac-item
2022-11-11 11:37:19	ga_s2am_ard_3-2-1_51HTB_2022-11-11_final.stac-item
2022-11-11 11:37:21	ga_s2am_ard_3-2-1_50HQG_2022-11-11_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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