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
2023-11-24 14:23:37	ga_s2am_ard_3-2-1_42FYF_2023-11-24_final.stac-item
2023-11-25 10:25:44	ga_s2am_ard_3-2-1_54JUL_2023-11-25_final.stac-item
2023-11-25 10:25:46	ga_s2am_ard_3-2-1_54JTL_2023-11-25_final.stac-item
2023-11-25 10:25:47	ga_s2am_ard_3-2-1_53JQF_2023-11-25_final.stac-item
2023-11-25 10:25:49	ga_s2am_ard_3-2-1_53JPF_2023-11-25_final.stac-item
2023-11-25 10:25:52	ga_s2am_ard_3-2-1_54HUK_2023-11-25_final.stac-item
2023-11-25 10:25:56	ga_s2am_ard_3-2-1_54HTK_2023-11-25_final.stac-item
2023-11-25 10:25:58	ga_s2am_ard_3-2-1_53HQE_2023-11-25_final.stac-item
2023-11-25 10:26:02	ga_s2am_ard_3-2-1_53HPE_2023-11-25_final.stac-item
2023-11-25 10:26:07	ga_s2am_ard_3-2-1_54HUJ_2023-11-25_final.stac-item
2023-11-25 10:26:10	ga_s2am_ard_3-2-1_54HTJ_2023-11-25_final.stac-item
2023-11-25 10:26:12	ga_s2am_ard_3-2-1_53HQD_2023-11-25_final.stac-item
2023-11-25 10:26:16	ga_s2am_ard_3-2-1_53HPD_2023-11-25_final.stac-item
2023-11-25 10:26:22	ga_s2am_ard_3-2-1_54HUH_2023-11-25_final.stac-item
2023-11-25 10:26:25	ga_s2am_ard_3-2-1_54HTH_2023-11-25_final.stac-item
2023-11-25 10:26:27	ga_s2am_ard_3-2-1_53HQC_2023-11-25_final.stac-item
2023-11-25 10:26:31	ga_s2am_ard_3-2-1_53HPC_2023-11-25_final.stac-item
2023-11-25 10:26:35	ga_s2am_ard_3-2-1_54HUG_2023-11-25_final.stac-item
2023-11-25 10:26:35	ga_s2am_ard_3-2-1_53HNC_2023-11-25_final.stac-item
2023-11-25 10:26:39	ga_s2am_ard_3-2-1_54HTG_2023-11-25_final.stac-item
2023-11-25 10:26:41	ga_s2am_ard_3-2-1_53HQB_2023-11-25_final.stac-item
2023-11-25 10:26:45	ga_s2am_ard_3-2-1_53HPB_2023-11-25_final.stac-item
2023-11-25 10:26:46	ga_s2am_ard_3-2-1_54HUF_2023-11-25_final.stac-item
2023-11-25 10:26:49	ga_s2am_ard_3-2-1_53HNB_2023-11-25_final.stac-item
2023-11-25 10:26:54	ga_s2am_ard_3-2-1_54HTF_2023-11-25_final.stac-item
2023-11-25 10:26:56	ga_s2am_ard_3-2-1_53HQA_2023-11-25_final.stac-item
2023-11-25 10:27:00	ga_s2am_ard_3-2-1_53HPA_2023-11-25_final.stac-item
2023-11-25 10:27:03	ga_s2am_ard_3-2-1_53HNA_2023-11-25_final.stac-item
2023-11-25 10:27:06	ga_s2am_ard_3-2-1_54HTE_2023-11-25_final.stac-item
2023-11-25 10:27:07	ga_s2am_ard_3-2-1_53HQV_2023-11-25_final.stac-item
2023-11-25 10:27:09	ga_s2am_ard_3-2-1_53HPV_2023-11-25_final.stac-item
2023-11-25 10:27:11	ga_s2am_ard_3-2-1_53HNV_2023-11-25_nrt.stac-item
2023-11-25 12:00:28	ga_s2am_ard_3-2-1_50LQP_2023-11-25_nrt.stac-item
2023-11-25 12:00:32	ga_s2am_ard_3-2-1_50LPP_2023-11-25_nrt.stac-item
2023-11-25 12:00:35	ga_s2am_ard_3-2-1_50LNP_2023-11-25_nrt.stac-item
2023-11-25 12:00:39	ga_s2am_ard_3-2-1_50LMP_2023-11-25_nrt.stac-item
2023-11-25 12:00:42	ga_s2am_ard_3-2-1_50LQN_2023-11-25_nrt.stac-item
2023-11-25 12:00:57	ga_s2am_ard_3-2-1_50LQM_2023-11-25_nrt.stac-item
2023-11-25 12:01:00	ga_s2am_ard_3-2-1_50LPM_2023-11-25_nrt.stac-item
2023-11-25 12:01:04	ga_s2am_ard_3-2-1_50LNM_2023-11-25_nrt.stac-item
2023-11-25 12:01:07	ga_s2am_ard_3-2-1_50LMM_2023-11-25_nrt.stac-item
2023-11-25 12:01:15	ga_s2am_ard_3-2-1_50LPL_2023-11-25_nrt.stac-item
2023-11-25 12:01:21	ga_s2am_ard_3-2-1_50LQK_2023-11-25_nrt.stac-item
2023-11-25 12:01:27	ga_s2am_ard_3-2-1_50LPK_2023-11-25_nrt.stac-item
2023-11-25 12:01:29	ga_s2am_ard_3-2-1_50LNK_2023-11-25_nrt.stac-item
2023-11-25 12:01:31	ga_s2am_ard_3-2-1_50LMK_2023-11-25_nrt.stac-item
2023-11-25 12:02:50	ga_s2am_ard_3-2-1_50KNE_2023-11-25_nrt.stac-item
2023-11-25 12:02:51	ga_s2am_ard_3-2-1_50KME_2023-11-25_nrt.stac-item
2023-11-25 12:02:53	ga_s2am_ard_3-2-1_50KLE_2023-11-25_nrt.stac-item
2023-11-25 12:02:56	ga_s2am_ard_3-2-1_50KKE_2023-11-25_nrt.stac-item
2023-11-25 12:03:07	ga_s2am_ard_3-2-1_50KLD_2023-11-25_nrt.stac-item
2023-11-25 12:03:12	ga_s2am_ard_3-2-1_49KHU_2023-11-25_nrt.stac-item
2023-11-25 12:03:14	ga_s2am_ard_3-2-1_50KNC_2023-11-25_final.stac-item
2023-11-25 12:03:18	ga_s2am_ard_3-2-1_50KMC_2023-11-25_final.stac-item
2023-11-25 12:03:21	ga_s2am_ard_3-2-1_50KLC_2023-11-25_final.stac-item
2023-11-25 12:03:25	ga_s2am_ard_3-2-1_49KHT_2023-11-25_nrt.stac-item
2023-11-25 12:03:36	ga_s2am_ard_3-2-1_50KLB_2023-11-25_final.stac-item
2023-11-25 12:03:39	ga_s2am_ard_3-2-1_50KKB_2023-11-25_final.stac-item
2023-11-25 12:03:39	ga_s2am_ard_3-2-1_50KNA_2023-11-25_final.stac-item
2023-11-25 12:03:39	ga_s2am_ard_3-2-1_49KHS_2023-11-25_final.stac-item
2023-11-25 12:03:50	ga_s2am_ard_3-2-1_50KLA_2023-11-25_final.stac-item
2023-11-25 12:03:53	ga_s2am_ard_3-2-1_50KKA_2023-11-25_final.stac-item
2023-11-25 12:03:54	ga_s2am_ard_3-2-1_49KHR_2023-11-25_final.stac-item
2023-11-25 12:04:01	ga_s2am_ard_3-2-1_50KMV_2023-11-25_final.stac-item
2023-11-25 12:04:08	ga_s2am_ard_3-2-1_50KKV_2023-11-25_final.stac-item
2023-11-25 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2023-11-25_final.stac-item
2023-11-25 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2023-11-25_final.stac-item
2023-11-25 12:04:19	ga_s2am_ard_3-2-1_50KLU_2023-11-25_final.stac-item
2023-11-25 12:04:22	ga_s2am_ard_3-2-1_49KHP_2023-11-25_final.stac-item
2023-11-25 12:04:26	ga_s2am_ard_3-2-1_49KGP_2023-11-25_final.stac-item
2023-11-25 12:04:34	ga_s2am_ard_3-2-1_50JLT_2023-11-25_final.stac-item
2023-11-25 12:04:37	ga_s2am_ard_3-2-1_49JHN_2023-11-25_final.stac-item
2023-11-25 12:04:43	ga_s2am_ard_3-2-1_50JMS_2023-11-25_final.stac-item
2023-11-25 12:04:48	ga_s2am_ard_3-2-1_50JLS_2023-11-25_final.stac-item
2023-11-25 12:04:51	ga_s2am_ard_3-2-1_49JHM_2023-11-25_final.stac-item
2023-11-25 12:04:52	ga_s2am_ard_3-2-1_50JKS_2023-11-25_final.stac-item
2023-11-25 12:04:53	ga_s2am_ard_3-2-1_50JMR_2023-11-25_final.stac-item
2023-11-25 12:04:55	ga_s2am_ard_3-2-1_49JGM_2023-11-25_final.stac-item
2023-11-25 12:05:03	ga_s2am_ard_3-2-1_50JLR_2023-11-25_final.stac-item
2023-11-25 12:05:06	ga_s2am_ard_3-2-1_50JKR_2023-11-25_final.stac-item
2023-11-25 12:05:10	ga_s2am_ard_3-2-1_49JGL_2023-11-25_final.stac-item
2023-11-25 12:05:14	ga_s2am_ard_3-2-1_49JFL_2023-11-25_final.stac-item
2023-11-25 12:05:17	ga_s2am_ard_3-2-1_50JLQ_2023-11-25_final.stac-item
2023-11-25 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2023-11-25_final.stac-item
2023-11-25 12:05:24	ga_s2am_ard_3-2-1_49JGK_2023-11-25_final.stac-item
2023-11-25 12:05:27	ga_s2am_ard_3-2-1_49JFK_2023-11-25_nrt.stac-item
2023-11-25 12:05:32	ga_s2am_ard_3-2-1_50JLP_2023-11-25_final.stac-item
2023-11-25 12:05:35	ga_s2am_ard_3-2-1_50JKP_2023-11-25_final.stac-item
2023-11-25 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2023-11-25_final.stac-item
2023-11-25 12:05:42	ga_s2am_ard_3-2-1_49JFJ_2023-11-25_nrt.stac-item
2023-11-25 12:05:46	ga_s2am_ard_3-2-1_50JLN_2023-11-25_final.stac-item
2023-11-25 12:05:50	ga_s2am_ard_3-2-1_50JKN_2023-11-25_final.stac-item
2023-11-25 12:05:53	ga_s2am_ard_3-2-1_49JGH_2023-11-25_final.stac-item
2023-11-25 12:05:57	ga_s2am_ard_3-2-1_49JFH_2023-11-25_nrt.stac-item
2023-11-25 12:05:59	ga_s2am_ard_3-2-1_50JLM_2023-11-25_final.stac-item
2023-11-25 12:06:04	ga_s2am_ard_3-2-1_50JKM_2023-11-25_final.stac-item
2023-11-25 12:06:07	ga_s2am_ard_3-2-1_49JGG_2023-11-25_nrt.stac-item
2023-11-25 12:06:09	ga_s2am_ard_3-2-1_50JLL_2023-11-25_final.stac-item
2023-11-25 12:06:11	ga_s2am_ard_3-2-1_49JFG_2023-11-25_nrt.stac-item
2023-11-25 12:06:18	ga_s2am_ard_3-2-1_49JGF_2023-11-25_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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