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
2023-01-09 12:05:13	ga_s2am_ard_3-2-1_49JGL_2023-01-09_final.stac-item
2023-01-09 12:05:50	ga_s2am_ard_3-2-1_50JLN_2023-01-09_final.stac-item
2023-01-09 12:06:00	ga_s2am_ard_3-2-1_49JFH_2023-01-09_nrt.stac-item
2023-01-09 12:06:03	ga_s2am_ard_3-2-1_50JLM_2023-01-09_final.stac-item
2023-01-09 12:06:08	ga_s2am_ard_3-2-1_50JKM_2023-01-09_final.stac-item
2023-01-09 12:06:12	ga_s2am_ard_3-2-1_50JLL_2023-01-09_final.stac-item
2023-01-09 12:06:22	ga_s2am_ard_3-2-1_49JGF_2023-01-09_nrt.stac-item
2023-01-10 09:49:35	ga_s2am_ard_3-2-1_56LMP_2023-01-10_nrt.stac-item
2023-01-10 09:49:39	ga_s2am_ard_3-2-1_56LLP_2023-01-10_nrt.stac-item
2023-01-10 09:49:42	ga_s2am_ard_3-2-1_56LKP_2023-01-10_nrt.stac-item
2023-01-10 09:49:43	ga_s2am_ard_3-2-1_55LHJ_2023-01-10_nrt.stac-item
2023-01-10 09:49:48	ga_s2am_ard_3-2-1_55LGJ_2023-01-10_nrt.stac-item
2023-01-10 09:50:04	ga_s2am_ard_3-2-1_56LKM_2023-01-10_nrt.stac-item
2023-01-10 09:50:58	ga_s2am_ard_3-2-1_56LLJ_2023-01-10_nrt.stac-item
2023-01-10 09:51:00	ga_s2am_ard_3-2-1_56LKJ_2023-01-10_nrt.stac-item
2023-01-10 09:51:00	ga_s2am_ard_3-2-1_55LHD_2023-01-10_nrt.stac-item
2023-01-10 09:51:02	ga_s2am_ard_3-2-1_55LGD_2023-01-10_nrt.stac-item
2023-01-10 09:51:04	ga_s2am_ard_3-2-1_55LFD_2023-01-10_nrt.stac-item
2023-01-10 09:51:51	ga_s2am_ard_3-2-1_55KEA_2023-01-10_final.stac-item
2023-01-10 09:52:06	ga_s2am_ard_3-2-1_56KKD_2023-01-10_nrt.stac-item
2023-01-10 09:52:12	ga_s2am_ard_3-2-1_55KGU_2023-01-10_final.stac-item
2023-01-10 09:52:33	ga_s2am_ard_3-2-1_55KET_2023-01-10_final.stac-item
2023-01-10 09:53:02	ga_s2am_ard_3-2-1_55KER_2023-01-10_final.stac-item
2023-01-10 09:53:06	ga_s2am_ard_3-2-1_55KDR_2023-01-10_final.stac-item
2023-01-10 09:53:31	ga_s2am_ard_3-2-1_55KEP_2023-01-10_final.stac-item
2023-01-10 09:53:34	ga_s2am_ard_3-2-1_55KDP_2023-01-10_final.stac-item
2023-01-10 09:54:16	ga_s2am_ard_3-2-1_55JDL_2023-01-10_final.stac-item
2023-01-10 09:54:24	ga_s2am_ard_3-2-1_55JCL_2023-01-10_final.stac-item
2023-01-10 09:54:44	ga_s2am_ard_3-2-1_55JEJ_2023-01-10_final.stac-item
2023-01-10 09:54:47	ga_s2am_ard_3-2-1_55JDJ_2023-01-10_final.stac-item
2023-01-10 09:55:05	ga_s2am_ard_3-2-1_55JCH_2023-01-10_final.stac-item
2023-01-10 09:55:09	ga_s2am_ard_3-2-1_55JBH_2023-01-10_final.stac-item
2023-01-10 09:55:22	ga_s2am_ard_3-2-1_55JBG_2023-01-10_final.stac-item
2023-01-10 09:55:27	ga_s2am_ard_3-2-1_55JEF_2023-01-10_final.stac-item
2023-01-10 09:55:31	ga_s2am_ard_3-2-1_55JDF_2023-01-10_final.stac-item
2023-01-10 09:55:52	ga_s2am_ard_3-2-1_55HED_2023-01-10_final.stac-item
2023-01-10 09:56:00	ga_s2am_ard_3-2-1_55HDD_2023-01-10_final.stac-item
2023-01-10 09:56:03	ga_s2am_ard_3-2-1_55HCD_2023-01-10_final.stac-item
2023-01-10 09:56:06	ga_s2am_ard_3-2-1_55HBD_2023-01-10_final.stac-item
2023-01-10 09:56:08	ga_s2am_ard_3-2-1_54HYJ_2023-01-10_final.stac-item
2023-01-10 09:56:18	ga_s2am_ard_3-2-1_55HCC_2023-01-10_final.stac-item
2023-01-10 09:56:29	ga_s2am_ard_3-2-1_55HDB_2023-01-10_final.stac-item
2023-01-10 09:56:32	ga_s2am_ard_3-2-1_55HCB_2023-01-10_final.stac-item
2023-01-10 09:56:36	ga_s2am_ard_3-2-1_55HBB_2023-01-10_final.stac-item
2023-01-10 09:56:37	ga_s2am_ard_3-2-1_54HYG_2023-01-10_final.stac-item
2023-01-10 09:56:44	ga_s2am_ard_3-2-1_54HXG_2023-01-10_final.stac-item
2023-01-10 09:57:07	ga_s2am_ard_3-2-1_55HDU_2023-01-10_final.stac-item
2023-01-10 09:57:16	ga_s2am_ard_3-2-1_55HCU_2023-01-10_final.stac-item
2023-01-10 09:57:19	ga_s2am_ard_3-2-1_55HBU_2023-01-10_final.stac-item
2023-01-10 09:57:20	ga_s2am_ard_3-2-1_54HYD_2023-01-10_final.stac-item
2023-01-10 09:57:24	ga_s2am_ard_3-2-1_54HXD_2023-01-10_final.stac-item
2023-01-10 09:57:30	ga_s2am_ard_3-2-1_55HCT_2023-01-10_final.stac-item
2023-01-10 09:57:34	ga_s2am_ard_3-2-1_55HBT_2023-01-10_final.stac-item
2023-01-10 09:57:35	ga_s2am_ard_3-2-1_54HYC_2023-01-10_final.stac-item
2023-01-10 09:57:39	ga_s2am_ard_3-2-1_54HXC_2023-01-10_final.stac-item
2023-01-10 09:57:44	ga_s2am_ard_3-2-1_54HWC_2023-01-10_final.stac-item
2023-01-10 09:57:45	ga_s2am_ard_3-2-1_55HCS_2023-01-10_final.stac-item
2023-01-10 09:57:53	ga_s2am_ard_3-2-1_54HXB_2023-01-10_final.stac-item
2023-01-10 09:57:57	ga_s2am_ard_3-2-1_54HWB_2023-01-10_nrt.stac-item
2023-01-10 11:30:12	ga_s2am_ard_3-2-1_52LCP_2023-01-10_nrt.stac-item
2023-01-10 11:30:19	ga_s2am_ard_3-2-1_52LBP_2023-01-10_nrt.stac-item
2023-01-10 11:30:21	ga_s2am_ard_3-2-1_51LZJ_2023-01-10_nrt.stac-item
2023-01-10 11:30:25	ga_s2am_ard_3-2-1_51LYJ_2023-01-10_nrt.stac-item
2023-01-10 11:30:27	ga_s2am_ard_3-2-1_51LXJ_2023-01-10_nrt.stac-item
2023-01-10 11:30:50	ga_s2am_ard_3-2-1_51LZG_2023-01-10_nrt.stac-item
2023-01-10 11:31:27	ga_s2am_ard_3-2-1_52LBJ_2023-01-10_final.stac-item
2023-01-10 11:31:29	ga_s2am_ard_3-2-1_51LWE_2023-01-10_final.stac-item
2023-01-10 11:31:33	ga_s2am_ard_3-2-1_51LZD_2023-01-10_final.stac-item
2023-01-10 11:31:37	ga_s2am_ard_3-2-1_51LYD_2023-01-10_final.stac-item
2023-01-10 11:31:41	ga_s2am_ard_3-2-1_51LXD_2023-01-10_final.stac-item
2023-01-10 11:31:44	ga_s2am_ard_3-2-1_51LWD_2023-01-10_final.stac-item
2023-01-10 11:32:27	ga_s2am_ard_3-2-1_51KWA_2023-01-10_final.stac-item
2023-01-10 11:32:30	ga_s2am_ard_3-2-1_51KVA_2023-01-10_final.stac-item
2023-01-10 11:32:49	ga_s2am_ard_3-2-1_51KYU_2023-01-10_final.stac-item
2023-01-10 11:33:11	ga_s2am_ard_3-2-1_51KWT_2023-01-10_final.stac-item
2023-01-10 11:33:14	ga_s2am_ard_3-2-1_51KVT_2023-01-10_final.stac-item
2023-01-10 11:33:20	ga_s2am_ard_3-2-1_51KUT_2023-01-10_final.stac-item
2023-01-10 11:33:40	ga_s2am_ard_3-2-1_51KWR_2023-01-10_final.stac-item
2023-01-10 11:33:43	ga_s2am_ard_3-2-1_51KVR_2023-01-10_final.stac-item
2023-01-10 11:34:09	ga_s2am_ard_3-2-1_51KWP_2023-01-10_final.stac-item
2023-01-10 11:34:12	ga_s2am_ard_3-2-1_51KVP_2023-01-10_final.stac-item
2023-01-10 11:34:53	ga_s2am_ard_3-2-1_51JWL_2023-01-10_final.stac-item
2023-01-10 11:35:25	ga_s2am_ard_3-2-1_51JVJ_2023-01-10_final.stac-item
2023-01-10 11:35:43	ga_s2am_ard_3-2-1_51JUH_2023-01-10_final.stac-item
2023-01-10 11:36:01	ga_s2am_ard_3-2-1_51JTG_2023-01-10_final.stac-item
2023-01-10 11:36:03	ga_s2am_ard_3-2-1_50JQM_2023-01-10_final.stac-item
2023-01-10 11:36:09	ga_s2am_ard_3-2-1_51JVF_2023-01-10_final.stac-item
2023-01-10 11:36:18	ga_s2am_ard_3-2-1_50JQL_2023-01-10_final.stac-item
2023-01-10 11:36:25	ga_s2am_ard_3-2-1_50JPL_2023-01-10_final.stac-item
2023-01-10 11:36:32	ga_s2am_ard_3-2-1_51HVD_2023-01-10_final.stac-item
2023-01-10 11:36:41	ga_s2am_ard_3-2-1_51HUD_2023-01-10_final.stac-item
2023-01-10 11:36:45	ga_s2am_ard_3-2-1_51HTD_2023-01-10_final.stac-item
2023-01-10 11:36:47	ga_s2am_ard_3-2-1_50HQJ_2023-01-10_final.stac-item
2023-01-10 11:36:50	ga_s2am_ard_3-2-1_50HPJ_2023-01-10_final.stac-item
2023-01-10 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-01-10_final.stac-item
2023-01-10 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-01-10_final.stac-item
2023-01-10 11:37:10	ga_s2am_ard_3-2-1_51HUB_2023-01-10_final.stac-item
2023-01-10 11:37:14	ga_s2am_ard_3-2-1_51HTB_2023-01-10_final.stac-item
2023-01-10 11:37:15	ga_s2am_ard_3-2-1_50HQG_2023-01-10_final.stac-item
2023-01-10 11:37:19	ga_s2am_ard_3-2-1_50HPG_2023-01-10_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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