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
2015-08-21 11:01:09	ga_s2am_ard_3-2-1_53LKC_2015-08-21_final.stac-item
2015-10-21 10:30:24	ga_s2am_ard_3-2-1_54LVJ_2015-10-21_final.stac-item
2015-10-21 10:30:24	ga_s2am_ard_3-2-1_54LVK_2015-10-21_final.stac-item
2015-11-13 10:37:42	ga_s2am_ard_3-2-1_53LPH_2015-11-13_final.stac-item
2015-11-13 10:37:42	ga_s2am_ard_3-2-1_53LQF_2015-11-13_final.stac-item
2015-11-20 10:27:37	ga_s2am_ard_3-2-1_54LVL_2015-11-20_final.stac-item
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51LUC_2015-12-21_final.stac-item
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51LUD_2015-12-21_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KQE_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KQF_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KPF_2016-01-03_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50KQG_2016-01-03_final.stac-item
2016-01-14 09:49:02	ga_s2am_ard_3-2-1_55HFT_2016-01-14_final.stac-item
2016-01-16 12:02:25	ga_s2am_ard_3-2-1_50KPF_2016-01-16_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_50KPF_2016-01-16_final.stac-item
2016-01-29 10:27:36	ga_s2am_ard_3-2-1_54LVL_2016-01-29_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51HTB_2016-02-06_final.stac-item
2016-02-06 11:34:36	ga_s2am_ard_3-2-1_51HUB_2016-02-06_final.stac-item
2016-02-10 11:07:16	ga_s2am_ard_3-2-1_53LKJ_2016-02-10_final.stac-item
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_51HWB_2016-02-10_final.stac-item
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_51HXB_2016-02-10_final.stac-item
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_51HXC_2016-02-10_final.stac-item
2016-02-13 09:42:09	ga_s2am_ard_3-2-1_55HFT_2016-02-13_final.stac-item
2016-02-17 09:25:19	ga_s2am_ard_3-2-1_55HFS_2016-02-16_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KQF_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KPF_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KQG_2016-03-03_final.stac-item
2016-03-14 09:42:09	ga_s2am_ard_3-2-1_55HFT_2016-03-14_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_54LWP_2016-03-29_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_54LWQ_2016-03-29_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_54LVL_2016-03-29_final.stac-item
2016-04-01 10:43:52	ga_s2am_ard_3-2-1_53HMB_2016-04-01_final.stac-item
2016-04-05 10:24:40	ga_s2am_ard_3-2-1_54HTE_2016-04-05_final.stac-item
2016-04-17 09:22:45	ga_s2am_ard_3-2-1_55HFS_2016-04-16_final.stac-item
2016-05-01 10:37:44	ga_s2am_ard_3-2-1_53LPH_2016-05-01_final.stac-item
2016-05-01 10:37:44	ga_s2am_ard_3-2-1_53LQF_2016-05-01_final.stac-item
2016-05-01 10:43:19	ga_s2am_ard_3-2-1_53HMB_2016-05-01_final.stac-item
2016-05-05 10:25:58	ga_s2am_ard_3-2-1_54HTE_2016-05-05_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51HWB_2016-05-30_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51HXB_2016-05-30_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_51HXC_2016-05-30_final.stac-item
2016-06-16 09:22:47	ga_s2am_ard_3-2-1_55HFS_2016-06-15_final.stac-item
2016-06-16 09:27:46	ga_s2am_ard_3-2-1_55HFS_2016-06-15_final.stac-item
2016-06-17 10:28:04	ga_s2am_ard_3-2-1_54LVJ_2016-06-17_final.stac-item
2016-06-17 10:28:04	ga_s2am_ard_3-2-1_54LVK_2016-06-17_final.stac-item
2016-06-20 10:38:41	ga_s2am_ard_3-2-1_53LPH_2016-06-20_final.stac-item
2016-06-20 10:38:41	ga_s2am_ard_3-2-1_53LQF_2016-06-20_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51HTB_2016-06-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51HUB_2016-06-25_final.stac-item
2016-07-06 09:22:47	ga_s2am_ard_3-2-1_55HFS_2016-07-05_final.stac-item
2016-07-19 09:32:22	ga_s2am_ard_3-2-1_56KNA_2016-07-19_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KQE_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KQF_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KPF_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50KQG_2016-07-21_final.stac-item
2016-07-22 09:42:17	ga_s2am_ard_3-2-1_56KMB_2016-07-22_final.stac-item
2016-07-26 09:27:34	ga_s2am_ard_3-2-1_55HFS_2016-07-25_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_55HFS_2016-08-08_final.stac-item
2016-08-08 09:33:48	ga_s2am_ard_3-2-1_55HFT_2016-08-08_final.stac-item
2016-08-16 10:28:09	ga_s2am_ard_3-2-1_54LWQ_2016-08-16_final.stac-item
2016-09-07 11:11:27	ga_s2am_ard_3-2-1_51HWB_2016-09-07_final.stac-item
2016-09-07 11:11:27	ga_s2am_ard_3-2-1_51HXB_2016-09-07_final.stac-item
2016-09-07 11:11:27	ga_s2am_ard_3-2-1_51HXC_2016-09-07_final.stac-item
2016-09-17 09:34:05	ga_s2am_ard_3-2-1_55HFS_2016-09-17_final.stac-item
2016-09-17 09:34:05	ga_s2am_ard_3-2-1_55HFT_2016-09-17_final.stac-item
2016-10-07 09:32:13	ga_s2am_ard_3-2-1_56KPB_2016-10-07_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50KQG_2016-10-09_final.stac-item
2016-10-29 10:10:55	ga_s2am_ard_3-2-1_54HVK_2016-10-29_final.stac-item
2016-12-18 10:09:23	ga_s2am_ard_3-2-1_54KWB_2016-12-18_final.stac-item
2016-12-18 10:09:23	ga_s2am_ard_3-2-1_54KXV_2016-12-18_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_52KCE_2016-12-29_final.stac-item
2024-01-17 12:13:17	ga_s2am_ard_3-2-1_49KFU_2024-01-17_nrt.stac-item
2024-01-17 12:13:20	ga_s2am_ard_3-2-1_49KHT_2024-01-17_nrt.stac-item
2024-01-17 12:13:53	ga_s2am_ard_3-2-1_49KFR_2024-01-17_nrt.stac-item
2024-01-17 12:14:08	ga_s2am_ard_3-2-1_49KFQ_2024-01-17_nrt.stac-item
2024-01-17 12:14:23	ga_s2am_ard_3-2-1_49KFP_2024-01-17_nrt.stac-item
2024-01-17 12:15:12	ga_s2am_ard_3-2-1_49JFK_2024-01-17_nrt.stac-item
2024-01-18 09:59:30	ga_s2am_ard_3-2-1_55LHJ_2024-01-18_nrt.stac-item
2024-01-18 09:59:40	ga_s2am_ard_3-2-1_55LHH_2024-01-18_nrt.stac-item
2024-01-18 09:59:42	ga_s2am_ard_3-2-1_55LEJ_2024-01-18_nrt.stac-item
2024-01-18 09:59:56	ga_s2am_ard_3-2-1_55LEH_2024-01-18_nrt.stac-item
2024-01-18 10:00:00	ga_s2am_ard_3-2-1_55LDH_2024-01-18_nrt.stac-item
2024-01-18 10:00:11	ga_s2am_ard_3-2-1_55LEG_2024-01-18_nrt.stac-item
2024-01-18 10:00:14	ga_s2am_ard_3-2-1_55LDG_2024-01-18_nrt.stac-item
2024-01-18 10:00:25	ga_s2am_ard_3-2-1_55LEF_2024-01-18_nrt.stac-item
2024-01-18 10:00:28	ga_s2am_ard_3-2-1_55LDF_2024-01-18_nrt.stac-item
2024-01-18 10:00:40	ga_s2am_ard_3-2-1_55LEE_2024-01-18_nrt.stac-item
2024-01-18 10:00:43	ga_s2am_ard_3-2-1_55LDE_2024-01-18_nrt.stac-item
2024-01-18 10:00:54	ga_s2am_ard_3-2-1_55LED_2024-01-18_nrt.stac-item
2024-01-18 10:00:58	ga_s2am_ard_3-2-1_55LDD_2024-01-18_nrt.stac-item
2024-01-18 10:07:40	ga_s2am_ard_3-2-1_54HWB_2024-01-18_nrt.stac-item
2024-01-18 10:07:41	ga_s2am_ard_3-2-1_54HVB_2024-01-18_nrt.stac-item
2024-01-18 11:40:23	ga_s2am_ard_3-2-1_51LVJ_2024-01-18_nrt.stac-item
2024-01-18 11:40:30	ga_s2am_ard_3-2-1_51LXH_2024-01-18_nrt.stac-item
2024-01-18 11:40:37	ga_s2am_ard_3-2-1_51LVH_2024-01-18_nrt.stac-item
2024-01-18 11:40:58	ga_s2am_ard_3-2-1_51LXF_2024-01-18_nrt.stac-item
2024-01-18 11:42:11	ga_s2am_ard_3-2-1_51KTB_2024-01-18_nrt.stac-item
2024-01-18 11:42:12	ga_s2am_ard_3-2-1_50KRG_2024-01-18_nrt.stac-item
2024-01-18 11:42:25	ga_s2am_ard_3-2-1_51KTA_2024-01-18_nrt.stac-item
2024-01-18 11:42:26	ga_s2am_ard_3-2-1_50KRF_2024-01-18_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

Other products

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