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
2023-03-05 11:15:35	ga_s2am_ard_3-2-1_51JYH_2023-03-05_final.stac-item
2023-03-07 11:53:27	ga_s2am_ard_3-2-1_50KMC_2023-03-07_final.stac-item
2023-03-07 11:53:44	ga_s2am_ard_3-2-1_50KPA_2023-03-07_final.stac-item
2023-03-07 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2023-03-07_final.stac-item
2023-03-08 11:24:18	ga_s2am_ard_3-2-1_51JYN_2023-03-08_final.stac-item
2023-03-10 12:03:28	ga_s2am_ard_3-2-1_50KNB_2023-03-10_final.stac-item
2023-03-10 12:04:19	ga_s2am_ard_3-2-1_50KLU_2023-03-10_final.stac-item
2023-03-10 12:04:21	ga_s2am_ard_3-2-1_49KHP_2023-03-10_final.stac-item
2023-03-11 11:34:27	ga_s2am_ard_3-2-1_51JUN_2023-03-11_final.stac-item
2023-03-11 11:35:43	ga_s2am_ard_3-2-1_51JTH_2023-03-11_final.stac-item
2023-03-11 11:36:58	ga_s2am_ard_3-2-1_50HQH_2023-03-11_final.stac-item
2023-03-13 12:13:36	ga_s2am_ard_3-2-1_49KHS_2023-03-13_final.stac-item
2023-03-13 12:13:51	ga_s2am_ard_3-2-1_49KHR_2023-03-13_final.stac-item
2023-03-13 12:14:05	ga_s2am_ard_3-2-1_49KHQ_2023-03-13_final.stac-item
2023-03-13 12:14:09	ga_s2am_ard_3-2-1_49KGQ_2023-03-13_final.stac-item
2023-03-13 12:15:16	ga_s2am_ard_3-2-1_49JGK_2023-03-13_final.stac-item
2023-03-14 11:42:10	ga_s2am_ard_3-2-1_51KVB_2023-03-14_final.stac-item
2023-03-14 11:42:57	ga_s2am_ard_3-2-1_51KUU_2023-03-14_final.stac-item
2023-03-14 11:43:00	ga_s2am_ard_3-2-1_51KTU_2023-03-14_final.stac-item
2023-03-14 11:43:11	ga_s2am_ard_3-2-1_51KUT_2023-03-14_final.stac-item
2023-03-14 11:43:21	ga_s2am_ard_3-2-1_51KVS_2023-03-14_final.stac-item
2023-03-14 11:43:33	ga_s2am_ard_3-2-1_50KQB_2023-03-14_final.stac-item
2023-03-14 11:43:44	ga_s2am_ard_3-2-1_50KRA_2023-03-14_final.stac-item
2023-03-14 11:43:55	ga_s2am_ard_3-2-1_51KUQ_2023-03-14_final.stac-item
2023-03-14 11:43:58	ga_s2am_ard_3-2-1_51KTQ_2023-03-14_final.stac-item
2023-03-14 11:44:02	ga_s2am_ard_3-2-1_50KQV_2023-03-14_final.stac-item
2023-03-14 11:44:13	ga_s2am_ard_3-2-1_51KTP_2023-03-14_final.stac-item
2023-03-14 11:44:20	ga_s2am_ard_3-2-1_50KPU_2023-03-14_final.stac-item
2023-03-14 11:44:24	ga_s2am_ard_3-2-1_51JUN_2023-03-14_final.stac-item
2023-03-14 11:44:31	ga_s2am_ard_3-2-1_50JQT_2023-03-14_final.stac-item
2023-03-14 11:44:42	ga_s2am_ard_3-2-1_51JTM_2023-03-14_final.stac-item
2023-03-14 11:44:57	ga_s2am_ard_3-2-1_50JPR_2023-03-14_final.stac-item
2023-03-14 11:45:21	ga_s2am_ard_3-2-1_50JNQ_2023-03-14_final.stac-item
2023-03-14 11:45:36	ga_s2am_ard_3-2-1_50JNP_2023-03-14_final.stac-item
2023-03-14 11:45:40	ga_s2am_ard_3-2-1_51JTH_2023-03-14_final.stac-item
2023-03-14 11:45:47	ga_s2am_ard_3-2-1_50JPN_2023-03-14_final.stac-item
2023-03-14 11:45:57	ga_s2am_ard_3-2-1_50JQM_2023-03-14_final.stac-item
2023-03-14 11:46:09	ga_s2am_ard_3-2-1_50JMM_2023-03-14_final.stac-item
2023-03-14 11:46:19	ga_s2am_ard_3-2-1_50JNL_2023-03-14_final.stac-item
2023-03-14 11:46:30	ga_s2am_ard_3-2-1_50HPK_2023-03-14_final.stac-item
2023-03-14 11:46:45	ga_s2am_ard_3-2-1_50HPJ_2023-03-14_final.stac-item
2023-03-14 11:46:50	ga_s2am_ard_3-2-1_50HQH_2023-03-14_final.stac-item
2023-03-14 11:47:03	ga_s2am_ard_3-2-1_50HNH_2023-03-14_final.stac-item
2023-03-14 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-03-14_final.stac-item
2023-03-14 11:47:24	ga_s2am_ard_3-2-1_50HLG_2023-03-14_final.stac-item
2023-03-15 11:14:26	ga_s2am_ard_3-2-1_51JYN_2023-03-15_final.stac-item
2023-03-15 11:15:27	ga_s2am_ard_3-2-1_51JXJ_2023-03-15_final.stac-item
2023-03-15 11:15:36	ga_s2am_ard_3-2-1_51JYH_2023-03-15_final.stac-item
2023-03-15 11:16:23	ga_s2am_ard_3-2-1_51HXE_2023-03-15_final.stac-item
2023-03-15 11:16:41	ga_s2am_ard_3-2-1_51HWD_2023-03-15_final.stac-item
2023-03-15 11:17:04	ga_s2am_ard_3-2-1_51HWB_2023-03-15_final.stac-item
2023-03-17 11:52:32	ga_s2am_ard_3-2-1_50KQF_2023-03-17_final.stac-item
2023-03-17 11:52:35	ga_s2am_ard_3-2-1_50KPF_2023-03-17_final.stac-item
2023-03-17 11:52:46	ga_s2am_ard_3-2-1_50KQE_2023-03-17_final.stac-item
2023-03-17 11:52:52	ga_s2am_ard_3-2-1_51KTU_2023-03-17_final.stac-item
2023-03-17 11:53:15	ga_s2am_ard_3-2-1_50KQC_2023-03-17_final.stac-item
2023-03-17 11:53:37	ga_s2am_ard_3-2-1_50KNB_2023-03-17_final.stac-item
2023-03-17 11:53:52	ga_s2am_ard_3-2-1_50KPA_2023-03-17_final.stac-item
2023-03-17 11:53:58	ga_s2am_ard_3-2-1_50KQV_2023-03-17_final.stac-item
2023-03-17 11:54:20	ga_s2am_ard_3-2-1_50KNU_2023-03-17_final.stac-item
2023-03-17 11:54:21	ga_s2am_ard_3-2-1_50JQT_2023-03-17_final.stac-item
2023-03-17 11:54:24	ga_s2am_ard_3-2-1_50KMU_2023-03-17_final.stac-item
2023-03-17 11:54:38	ga_s2am_ard_3-2-1_50JMT_2023-03-17_final.stac-item
2023-03-17 11:54:46	ga_s2am_ard_3-2-1_50JPS_2023-03-17_final.stac-item
2023-03-17 11:55:00	ga_s2am_ard_3-2-1_50JPR_2023-03-17_final.stac-item
2023-03-17 11:55:10	ga_s2am_ard_3-2-1_50JLR_2023-03-17_final.stac-item
2023-03-17 11:55:18	ga_s2am_ard_3-2-1_50JNQ_2023-03-17_final.stac-item
2023-03-17 11:55:32	ga_s2am_ard_3-2-1_50JNP_2023-03-17_final.stac-item
2023-03-17 11:56:05	ga_s2am_ard_3-2-1_50JMM_2023-03-17_final.stac-item
2023-03-17 11:56:09	ga_s2am_ard_3-2-1_50JLM_2023-03-17_final.stac-item
2023-03-17 11:56:20	ga_s2am_ard_3-2-1_50JML_2023-03-17_final.stac-item
2023-03-17 11:57:03	ga_s2am_ard_3-2-1_50HMH_2023-03-17_final.stac-item
2023-03-17 11:57:21	ga_s2am_ard_3-2-1_50HLG_2023-03-17_final.stac-item
2023-03-18 11:22:58	ga_s2am_ard_3-2-1_51KXU_2023-03-18_final.stac-item
2023-03-18 11:23:41	ga_s2am_ard_3-2-1_51KXR_2023-03-18_final.stac-item
2023-03-18 11:23:55	ga_s2am_ard_3-2-1_51KXQ_2023-03-18_final.stac-item
2023-03-18 11:24:00	ga_s2am_ard_3-2-1_51KWQ_2023-03-18_final.stac-item
2023-03-18 11:24:27	ga_s2am_ard_3-2-1_51JWN_2023-03-18_final.stac-item
2023-03-18 11:24:42	ga_s2am_ard_3-2-1_51JWM_2023-03-18_final.stac-item
2023-03-18 11:25:22	ga_s2am_ard_3-2-1_51JXJ_2023-03-18_final.stac-item
2023-03-18 11:25:26	ga_s2am_ard_3-2-1_51JWJ_2023-03-18_final.stac-item
2023-03-18 11:25:29	ga_s2am_ard_3-2-1_51JVJ_2023-03-18_final.stac-item
2023-03-18 11:25:32	ga_s2am_ard_3-2-1_51JYH_2023-03-18_final.stac-item
2023-03-18 11:25:40	ga_s2am_ard_3-2-1_51JWH_2023-03-18_final.stac-item
2023-03-18 11:25:43	ga_s2am_ard_3-2-1_51JYG_2023-03-18_final.stac-item
2023-03-18 11:26:12	ga_s2am_ard_3-2-1_51JVF_2023-03-18_final.stac-item
2023-03-18 11:26:24	ga_s2am_ard_3-2-1_51HWE_2023-03-18_final.stac-item
2023-03-18 11:26:33	ga_s2am_ard_3-2-1_51HXD_2023-03-18_final.stac-item
2023-03-18 11:26:36	ga_s2am_ard_3-2-1_51HWD_2023-03-18_final.stac-item
2023-03-18 11:26:40	ga_s2am_ard_3-2-1_51HXD_2023-03-18_final.stac-item
2023-03-18 11:26:42	ga_s2am_ard_3-2-1_51HWD_2023-03-18_final.stac-item
2023-03-18 11:26:56	ga_s2am_ard_3-2-1_51HVC_2023-03-18_final.stac-item
2023-03-18 11:27:06	ga_s2am_ard_3-2-1_51HWB_2023-03-18_final.stac-item
2023-03-18 11:27:08	ga_s2am_ard_3-2-1_51HVB_2023-03-18_final.stac-item
2023-03-18 11:27:10	ga_s2am_ard_3-2-1_51HUB_2023-03-18_final.stac-item
2023-03-18 11:27:12	ga_s2am_ard_3-2-1_51HTB_2023-03-18_final.stac-item
2023-03-27 11:51:02	ga_s2am_ard_3-2-1_50LRM_2023-03-27_nrt.stac-item
2023-03-27 11:51:31	ga_s2am_ard_3-2-1_50LRK_2023-03-27_nrt.stac-item
2023-03-27 11:52:13	ga_s2am_ard_3-2-1_51KTB_2023-03-27_nrt.stac-item
2023-03-27 11:56:42	ga_s2am_ard_3-2-1_50HKK_2023-03-27_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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