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
2023-06-13 12:51:04	ga_s2am_ard_3-2-1_48LWP_2023-06-13_final.stac-item
2023-07-03 12:51:04	ga_s2am_ard_3-2-1_48LWP_2023-07-03_final.stac-item
2023-08-02 12:51:05	ga_s2am_ard_3-2-1_48LWP_2023-08-02_final.stac-item
2023-08-26 14:23:39	ga_s2am_ard_3-2-1_43FDB_2023-08-26_final.stac-item
2023-08-26 14:23:41	ga_s2am_ard_3-2-1_42FYG_2023-08-26_final.stac-item
2023-08-26 14:23:42	ga_s2am_ard_3-2-1_43FCB_2023-08-26_final.stac-item
2023-08-26 14:23:49	ga_s2am_ard_3-2-1_42FYF_2023-08-26_final.stac-item
2023-09-02 14:13:42	ga_s2am_ard_3-2-1_43FDB_2023-09-02_final.stac-item
2023-09-02 14:13:44	ga_s2am_ard_3-2-1_43FCB_2023-09-02_final.stac-item
2023-09-02 14:13:49	ga_s2am_ard_3-2-1_42FYF_2023-09-02_final.stac-item
2023-09-05 14:23:39	ga_s2am_ard_3-2-1_43FDB_2023-09-05_final.stac-item
2023-09-05 14:23:41	ga_s2am_ard_3-2-1_42FYG_2023-09-05_final.stac-item
2023-09-11 12:51:04	ga_s2am_ard_3-2-1_48LWP_2023-09-11_final.stac-item
2023-09-15 14:23:39	ga_s2am_ard_3-2-1_42FYG_2023-09-15_final.stac-item
2023-09-21 12:51:01	ga_s2am_ard_3-2-1_48LWP_2023-09-21_final.stac-item
2023-10-01 12:51:02	ga_s2am_ard_3-2-1_48LWP_2023-10-01_final.stac-item
2023-10-11 12:50:58	ga_s2am_ard_3-2-1_48LWP_2023-10-11_final.stac-item
2023-11-01 14:13:38	ga_s2am_ard_3-2-1_43FCB_2023-11-01_final.stac-item
2023-11-04 14:23:32	ga_s2am_ard_3-2-1_43FDB_2023-11-04_final.stac-item
2023-11-04 14:23:35	ga_s2am_ard_3-2-1_43FCB_2023-11-04_final.stac-item
2023-11-04 14:23:42	ga_s2am_ard_3-2-1_42FYF_2023-11-04_final.stac-item
2023-11-14 14:23:34	ga_s2am_ard_3-2-1_42FYG_2023-11-14_final.stac-item
2023-11-14 14:23:34	ga_s2am_ard_3-2-1_43FCB_2023-11-14_final.stac-item
2023-11-14 14:23:42	ga_s2am_ard_3-2-1_42FYF_2023-11-14_final.stac-item
2023-11-21 14:13:33	ga_s2am_ard_3-2-1_43FDB_2023-11-21_final.stac-item
2023-11-21 14:13:35	ga_s2am_ard_3-2-1_43FCB_2023-11-21_final.stac-item
2023-11-21 14:13:40	ga_s2am_ard_3-2-1_42FYF_2023-11-21_final.stac-item
2023-11-24 14:23:29	ga_s2am_ard_3-2-1_43FDB_2023-11-24_final.stac-item
2023-11-24 14:23:31	ga_s2am_ard_3-2-1_42FYG_2023-11-24_final.stac-item
2023-11-24 14:23:31	ga_s2am_ard_3-2-1_43FCB_2023-11-24_final.stac-item
2023-11-24 14:23:37	ga_s2am_ard_3-2-1_42FYF_2023-11-24_final.stac-item
2023-12-01 14:13:28	ga_s2am_ard_3-2-1_43FDB_2023-12-01_final.stac-item
2023-12-01 14:13:30	ga_s2am_ard_3-2-1_42FYG_2023-12-01_final.stac-item
2023-12-01 14:13:30	ga_s2am_ard_3-2-1_43FCB_2023-12-01_final.stac-item
2023-12-01 14:13:35	ga_s2am_ard_3-2-1_42FYF_2023-12-01_final.stac-item
2023-12-10 12:50:54	ga_s2am_ard_3-2-1_48LWP_2023-12-10_final.stac-item
2023-12-14 14:23:29	ga_s2am_ard_3-2-1_43FDB_2023-12-14_final.stac-item
2023-12-14 14:23:31	ga_s2am_ard_3-2-1_42FYG_2023-12-14_final.stac-item
2023-12-14 14:23:31	ga_s2am_ard_3-2-1_43FCB_2023-12-14_final.stac-item
2023-12-21 14:13:33	ga_s2am_ard_3-2-1_43FDB_2023-12-21_final.stac-item
2023-12-21 14:13:35	ga_s2am_ard_3-2-1_42FYG_2023-12-21_final.stac-item
2023-12-21 14:13:35	ga_s2am_ard_3-2-1_43FCB_2023-12-21_final.stac-item
2023-12-21 14:13:40	ga_s2am_ard_3-2-1_42FYF_2023-12-21_final.stac-item
2024-01-03 14:23:30	ga_s2am_ard_3-2-1_43FDB_2024-01-03_final.stac-item
2024-01-03 14:23:32	ga_s2am_ard_3-2-1_43FCB_2024-01-03_final.stac-item
2024-01-09 12:50:55	ga_s2am_ard_3-2-1_48LWP_2024-01-09_final.stac-item
2024-01-10 14:13:39	ga_s2am_ard_3-2-1_42FYF_2024-01-10_final.stac-item
2024-01-20 14:13:38	ga_s2am_ard_3-2-1_42FYF_2024-01-20_final.stac-item
2024-01-23 14:23:29	ga_s2am_ard_3-2-1_42FYG_2024-01-23_final.stac-item
2024-01-29 12:50:54	ga_s2am_ard_3-2-1_48LWP_2024-01-29_final.stac-item
2024-02-02 14:23:31	ga_s2am_ard_3-2-1_43FCB_2024-02-02_final.stac-item
2024-02-02 14:23:37	ga_s2am_ard_3-2-1_42FYF_2024-02-02_final.stac-item
2024-02-09 14:13:32	ga_s2am_ard_3-2-1_43FDB_2024-02-09_final.stac-item
2024-02-09 14:13:32	ga_s2am_ard_3-2-1_43FCB_2024-02-09_final.stac-item
2024-02-09 14:13:33	ga_s2am_ard_3-2-1_42FYG_2024-02-09_final.stac-item
2024-02-09 14:13:35	ga_s2am_ard_3-2-1_43FDB_2024-02-09_final.stac-item
2024-02-09 14:13:36	ga_s2am_ard_3-2-1_42FYG_2024-02-09_final.stac-item
2024-02-09 14:13:37	ga_s2am_ard_3-2-1_43FCB_2024-02-09_final.stac-item
2024-02-09 14:13:40	ga_s2am_ard_3-2-1_42FYF_2024-02-09_final.stac-item
2024-02-19 14:13:37	ga_s2am_ard_3-2-1_43FCB_2024-02-19_final.stac-item
2024-02-22 14:23:31	ga_s2am_ard_3-2-1_43FDB_2024-02-22_final.stac-item
2024-02-22 14:23:33	ga_s2am_ard_3-2-1_43FCB_2024-02-22_final.stac-item
2024-02-29 14:13:36	ga_s2am_ard_3-2-1_43FDB_2024-02-29_final.stac-item
2024-02-29 14:13:38	ga_s2am_ard_3-2-1_42FYG_2024-02-29_final.stac-item
2024-02-29 14:13:38	ga_s2am_ard_3-2-1_43FCB_2024-02-29_final.stac-item
2024-02-29 14:13:46	ga_s2am_ard_3-2-1_42FYF_2024-02-29_final.stac-item
2024-03-13 14:23:33	ga_s2am_ard_3-2-1_43FDB_2024-03-13_final.stac-item
2024-03-13 14:23:35	ga_s2am_ard_3-2-1_42FYG_2024-03-13_final.stac-item
2024-03-13 14:23:36	ga_s2am_ard_3-2-1_43FCB_2024-03-13_final.stac-item
2024-03-13 14:23:43	ga_s2am_ard_3-2-1_42FYF_2024-03-13_final.stac-item
2024-03-19 12:51:00	ga_s2am_ard_3-2-1_48LWP_2024-03-19_final.stac-item
2024-03-20 14:13:38	ga_s2am_ard_3-2-1_43FDB_2024-03-20_final.stac-item
2024-03-20 14:13:40	ga_s2am_ard_3-2-1_43FCB_2024-03-20_final.stac-item
2024-04-02 14:23:34	ga_s2am_ard_3-2-1_42FYG_2024-04-02_final.stac-item
2024-04-06 12:14:05	ga_s2am_ard_3-2-1_50KKV_2024-04-06_final.stac-item
2024-04-07 11:42:12	ga_s2am_ard_3-2-1_51KVB_2024-04-07_final.stac-item
2024-04-07 11:42:59	ga_s2am_ard_3-2-1_51KUU_2024-04-07_final.stac-item
2024-04-07 11:43:08	ga_s2am_ard_3-2-1_51KVT_2024-04-07_final.stac-item
2024-04-07 11:43:12	ga_s2am_ard_3-2-1_50KRC_2024-04-07_final.stac-item
2024-04-07 11:43:17	ga_s2am_ard_3-2-1_51KUT_2024-04-07_final.stac-item
2024-04-07 11:43:18	ga_s2am_ard_3-2-1_50KRC_2024-04-07_final.stac-item
2024-04-07 11:43:23	ga_s2am_ard_3-2-1_51KVS_2024-04-07_final.stac-item
2024-04-07 11:43:31	ga_s2am_ard_3-2-1_50KRB_2024-04-07_final.stac-item
2024-04-07 11:44:18	ga_s2am_ard_3-2-1_50KQU_2024-04-07_final.stac-item
2024-04-07 11:44:29	ga_s2am_ard_3-2-1_50JRT_2024-04-07_final.stac-item
2024-04-07 11:44:29	ga_s2am_ard_3-2-1_51JTN_2024-04-07_final.stac-item
2024-04-07 11:44:36	ga_s2am_ard_3-2-1_50JPT_2024-04-07_final.stac-item
2024-04-07 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2024-04-07_final.stac-item
2024-04-07 11:45:34	ga_s2am_ard_3-2-1_50JPP_2024-04-07_final.stac-item
2024-04-07 11:46:07	ga_s2am_ard_3-2-1_50JNM_2024-04-07_final.stac-item
2024-04-07 11:46:14	ga_s2am_ard_3-2-1_50JQL_2024-04-07_final.stac-item
2024-04-07 11:46:56	ga_s2am_ard_3-2-1_50HPH_2024-04-07_final.stac-item
2024-04-07 11:47:02	ga_s2am_ard_3-2-1_50HPH_2024-04-07_final.stac-item
2024-04-07 11:47:05	ga_s2am_ard_3-2-1_50HNH_2024-04-07_final.stac-item
2024-04-07 11:47:08	ga_s2am_ard_3-2-1_50HMH_2024-04-07_final.stac-item
2024-04-17 11:41:47	ga_s2am_ard_3-2-1_51LVD_2024-04-17_nrt.stac-item
2024-04-17 11:42:10	ga_s2am_ard_3-2-1_50LRH_2024-04-17_nrt.stac-item
2024-04-17 11:42:30	ga_s2am_ard_3-2-1_51KTA_2024-04-17_nrt.stac-item
2024-04-17 11:42:37	ga_s2am_ard_3-2-1_51KTA_2024-04-17_nrt.stac-item
2024-04-17 11:42:52	ga_s2am_ard_3-2-1_51KTV_2024-04-17_nrt.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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