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:

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First 100 results (query limit)

Time (local)	Label
2023-12-05 10:19:58	ga_s2am_ard_3-2-1_55LBH_2023-12-05_nrt.stac-item
2023-12-05 10:19:59	ga_s2am_ard_3-2-1_54LZN_2023-12-05_final.stac-item
2023-12-05 10:20:03	ga_s2am_ard_3-2-1_54LYN_2023-12-05_final.stac-item
2023-12-05 10:20:24	ga_s2am_ard_3-2-1_54LWM_2023-12-05_final.stac-item
2023-12-05 10:20:39	ga_s2am_ard_3-2-1_54LWL_2023-12-05_final.stac-item
2023-12-05 10:20:42	ga_s2am_ard_3-2-1_54LZK_2023-12-05_final.stac-item
2023-12-05 10:20:47	ga_s2am_ard_3-2-1_54LYK_2023-12-05_final.stac-item
2023-12-05 10:20:50	ga_s2am_ard_3-2-1_54LXK_2023-12-05_final.stac-item
2023-12-05 10:20:53	ga_s2am_ard_3-2-1_54LWK_2023-12-05_final.stac-item
2023-12-05 10:21:08	ga_s2am_ard_3-2-1_54LWJ_2023-12-05_final.stac-item
2023-12-05 10:21:19	ga_s2am_ard_3-2-1_54LXH_2023-12-05_final.stac-item
2023-12-05 10:21:22	ga_s2am_ard_3-2-1_54LWH_2023-12-05_final.stac-item
2023-12-05 10:21:26	ga_s2am_ard_3-2-1_54LVH_2023-12-05_final.stac-item
2023-12-05 10:21:30	ga_s2am_ard_3-2-1_54KYG_2023-12-05_final.stac-item
2023-12-05 10:21:44	ga_s2am_ard_3-2-1_54KYF_2023-12-05_final.stac-item
2023-12-05 10:21:52	ga_s2am_ard_3-2-1_54KWF_2023-12-05_final.stac-item
2023-12-05 10:22:06	ga_s2am_ard_3-2-1_54KWE_2023-12-05_final.stac-item
2023-12-05 10:22:09	ga_s2am_ard_3-2-1_54KVE_2023-12-05_final.stac-item
2023-12-05 10:22:17	ga_s2am_ard_3-2-1_54KXD_2023-12-05_final.stac-item
2023-12-05 10:23:04	ga_s2am_ard_3-2-1_54KWA_2023-12-05_final.stac-item
2023-12-05 10:23:07	ga_s2am_ard_3-2-1_54KVA_2023-12-05_final.stac-item
2023-12-05 10:23:10	ga_s2am_ard_3-2-1_54KXV_2023-12-05_final.stac-item
2023-12-05 10:23:43	ga_s2am_ard_3-2-1_54KTU_2023-12-05_final.stac-item
2023-12-05 10:23:44	ga_s2am_ard_3-2-1_53KRP_2023-12-05_final.stac-item
2023-12-05 10:23:48	ga_s2am_ard_3-2-1_54JWT_2023-12-05_final.stac-item
2023-12-05 10:23:51	ga_s2am_ard_3-2-1_54JVT_2023-12-05_final.stac-item
2023-12-05 10:23:57	ga_s2am_ard_3-2-1_53JRN_2023-12-05_final.stac-item
2023-12-05 10:23:57	ga_s2am_ard_3-2-1_54JTT_2023-12-05_final.stac-item
2023-12-05 10:24:09	ga_s2am_ard_3-2-1_54JUS_2023-12-05_final.stac-item
2023-12-05 10:24:12	ga_s2am_ard_3-2-1_53JRM_2023-12-05_final.stac-item
2023-12-05 10:24:35	ga_s2am_ard_3-2-1_54JVQ_2023-12-05_final.stac-item
2023-12-05 10:24:49	ga_s2am_ard_3-2-1_54JVP_2023-12-05_final.stac-item
2023-12-05 10:24:53	ga_s2am_ard_3-2-1_54JUP_2023-12-05_final.stac-item
2023-12-05 10:24:56	ga_s2am_ard_3-2-1_54JTP_2023-12-05_final.stac-item
2023-12-05 10:25:04	ga_s2am_ard_3-2-1_54JVN_2023-12-05_final.stac-item
2023-12-05 10:25:13	ga_s2am_ard_3-2-1_53JQH_2023-12-05_final.stac-item
2023-12-05 10:25:17	ga_s2am_ard_3-2-1_54JVM_2023-12-05_final.stac-item
2023-12-05 10:25:22	ga_s2am_ard_3-2-1_54JUM_2023-12-05_final.stac-item
2023-12-05 10:25:25	ga_s2am_ard_3-2-1_54JTM_2023-12-05_final.stac-item
2023-12-05 10:25:29	ga_s2am_ard_3-2-1_54JVL_2023-12-05_final.stac-item
2023-12-05 10:25:33	ga_s2am_ard_3-2-1_53JPG_2023-12-05_final.stac-item
2023-12-05 10:25:46	ga_s2am_ard_3-2-1_53JPF_2023-12-05_final.stac-item
2023-12-05 10:25:51	ga_s2am_ard_3-2-1_54HUK_2023-12-05_final.stac-item
2023-12-05 10:25:54	ga_s2am_ard_3-2-1_54HTK_2023-12-05_final.stac-item
2023-12-05 10:26:05	ga_s2am_ard_3-2-1_54HUJ_2023-12-05_final.stac-item
2023-12-05 10:26:06	ga_s2am_ard_3-2-1_54HTJ_2023-12-05_final.stac-item
2023-12-05 10:26:09	ga_s2am_ard_3-2-1_53HPD_2023-12-05_final.stac-item
2023-12-05 10:26:12	ga_s2am_ard_3-2-1_54HUJ_2023-12-05_final.stac-item
2023-12-05 10:26:14	ga_s2am_ard_3-2-1_53HQD_2023-12-05_final.stac-item
2023-12-05 10:26:16	ga_s2am_ard_3-2-1_53HPD_2023-12-05_final.stac-item
2023-12-05 10:26:40	ga_s2am_ard_3-2-1_53HQB_2023-12-05_final.stac-item
2023-12-05 10:26:44	ga_s2am_ard_3-2-1_54HUF_2023-12-05_final.stac-item
2023-12-05 10:26:54	ga_s2am_ard_3-2-1_53HQA_2023-12-05_final.stac-item
2023-12-05 10:26:58	ga_s2am_ard_3-2-1_53HPA_2023-12-05_final.stac-item
2023-12-05 10:27:04	ga_s2am_ard_3-2-1_54HTE_2023-12-05_final.stac-item
2023-12-05 10:27:05	ga_s2am_ard_3-2-1_53HQV_2023-12-05_final.stac-item
2023-12-05 12:00:41	ga_s2am_ard_3-2-1_50LQN_2023-12-05_nrt.stac-item
2023-12-05 12:01:02	ga_s2am_ard_3-2-1_50LNM_2023-12-05_nrt.stac-item
2023-12-05 12:01:05	ga_s2am_ard_3-2-1_50LMM_2023-12-05_nrt.stac-item
2023-12-05 12:01:17	ga_s2am_ard_3-2-1_50LNL_2023-12-05_nrt.stac-item
2023-12-05 12:01:20	ga_s2am_ard_3-2-1_50LQK_2023-12-05_nrt.stac-item
2023-12-05 12:01:20	ga_s2am_ard_3-2-1_50LML_2023-12-05_nrt.stac-item
2023-12-05 12:01:26	ga_s2am_ard_3-2-1_50LPK_2023-12-05_nrt.stac-item
2023-12-05 12:01:28	ga_s2am_ard_3-2-1_50LNK_2023-12-05_nrt.stac-item
2023-12-05 12:01:30	ga_s2am_ard_3-2-1_50LMK_2023-12-05_nrt.stac-item
2023-12-05 12:02:48	ga_s2am_ard_3-2-1_50KNE_2023-12-05_nrt.stac-item
2023-12-05 12:02:48	ga_s2am_ard_3-2-1_50KME_2023-12-05_nrt.stac-item
2023-12-05 12:02:48	ga_s2am_ard_3-2-1_50KLE_2023-12-05_nrt.stac-item
2023-12-05 12:02:50	ga_s2am_ard_3-2-1_50KKE_2023-12-05_nrt.stac-item
2023-12-05 12:02:50	ga_s2am_ard_3-2-1_50KNE_2023-12-05_nrt.stac-item
2023-12-05 12:02:52	ga_s2am_ard_3-2-1_50KME_2023-12-05_nrt.stac-item
2023-12-05 12:02:54	ga_s2am_ard_3-2-1_50KLE_2023-12-05_nrt.stac-item
2023-12-05 12:02:56	ga_s2am_ard_3-2-1_50KKE_2023-12-05_nrt.stac-item
2023-12-05 12:03:02	ga_s2am_ard_3-2-1_50KMD_2023-12-05_nrt.stac-item
2023-12-05 12:03:23	ga_s2am_ard_3-2-1_49KHT_2023-12-05_nrt.stac-item
2023-12-05 12:03:26	ga_s2am_ard_3-2-1_50KNB_2023-12-05_final.stac-item
2023-12-05 12:03:31	ga_s2am_ard_3-2-1_50KMB_2023-12-05_final.stac-item
2023-12-05 12:03:37	ga_s2am_ard_3-2-1_50KKB_2023-12-05_final.stac-item
2023-12-05 12:03:37	ga_s2am_ard_3-2-1_50KNA_2023-12-05_final.stac-item
2023-12-05 12:03:38	ga_s2am_ard_3-2-1_49KHS_2023-12-05_final.stac-item
2023-12-05 12:03:45	ga_s2am_ard_3-2-1_50KMA_2023-12-05_final.stac-item
2023-12-05 12:03:52	ga_s2am_ard_3-2-1_50KKA_2023-12-05_final.stac-item
2023-12-05 12:04:07	ga_s2am_ard_3-2-1_49KHQ_2023-12-05_final.stac-item
2023-12-05 12:04:21	ga_s2am_ard_3-2-1_49KHP_2023-12-05_final.stac-item
2023-12-05 12:04:21	ga_s2am_ard_3-2-1_50KKU_2023-12-05_final.stac-item
2023-12-05 12:04:24	ga_s2am_ard_3-2-1_49KGP_2023-12-05_final.stac-item
2023-12-05 12:04:29	ga_s2am_ard_3-2-1_50JMT_2023-12-05_final.stac-item
2023-12-05 12:04:32	ga_s2am_ard_3-2-1_50JLT_2023-12-05_final.stac-item
2023-12-05 12:04:36	ga_s2am_ard_3-2-1_50JKT_2023-12-05_final.stac-item
2023-12-05 12:04:39	ga_s2am_ard_3-2-1_49JGN_2023-12-05_final.stac-item
2023-12-05 12:04:47	ga_s2am_ard_3-2-1_50JLS_2023-12-05_final.stac-item
2023-12-05 12:04:50	ga_s2am_ard_3-2-1_49JHM_2023-12-05_final.stac-item
2023-12-05 12:04:52	ga_s2am_ard_3-2-1_50JMR_2023-12-05_final.stac-item
2023-12-05 12:04:54	ga_s2am_ard_3-2-1_49JGM_2023-12-05_final.stac-item
2023-12-05 12:05:16	ga_s2am_ard_3-2-1_50JLQ_2023-12-05_final.stac-item
2023-12-05 12:05:26	ga_s2am_ard_3-2-1_49JFK_2023-12-05_nrt.stac-item
2023-12-05 12:05:31	ga_s2am_ard_3-2-1_50JLP_2023-12-05_final.stac-item
2023-12-05 12:05:34	ga_s2am_ard_3-2-1_50JKP_2023-12-05_final.stac-item
2023-12-05 12:05:49	ga_s2am_ard_3-2-1_50JKN_2023-12-05_final.stac-item
2023-12-05 12:05:57	ga_s2am_ard_3-2-1_50JLM_2023-12-05_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

Other products

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