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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
2023-09-26 10:20:48	ga_s2am_ard_3-2-1_54LWL_2023-09-26_final.stac-item
2023-09-26 10:20:51	ga_s2am_ard_3-2-1_54LZK_2023-09-26_final.stac-item
2023-09-26 10:20:56	ga_s2am_ard_3-2-1_54LYK_2023-09-26_final.stac-item
2023-09-26 10:21:03	ga_s2am_ard_3-2-1_54LZJ_2023-09-26_final.stac-item
2023-09-26 10:21:10	ga_s2am_ard_3-2-1_54LYJ_2023-09-26_final.stac-item
2023-09-26 10:21:14	ga_s2am_ard_3-2-1_54LXJ_2023-09-26_final.stac-item
2023-09-26 10:21:17	ga_s2am_ard_3-2-1_54LWJ_2023-09-26_final.stac-item
2023-09-26 10:21:23	ga_s2am_ard_3-2-1_54LVJ_2023-09-26_final.stac-item
2023-09-26 10:21:28	ga_s2am_ard_3-2-1_54LXH_2023-09-26_final.stac-item
2023-09-26 10:21:31	ga_s2am_ard_3-2-1_54LWH_2023-09-26_final.stac-item
2023-09-26 10:21:35	ga_s2am_ard_3-2-1_54LVH_2023-09-26_final.stac-item
2023-09-26 10:21:39	ga_s2am_ard_3-2-1_54KYG_2023-09-26_final.stac-item
2023-09-26 10:21:46	ga_s2am_ard_3-2-1_54KWG_2023-09-26_final.stac-item
2023-09-26 10:21:49	ga_s2am_ard_3-2-1_54KVG_2023-09-26_final.stac-item
2023-09-26 10:22:01	ga_s2am_ard_3-2-1_54KWF_2023-09-26_final.stac-item
2023-09-26 10:22:04	ga_s2am_ard_3-2-1_54KVF_2023-09-26_final.stac-item
2023-09-26 10:22:06	ga_s2am_ard_3-2-1_54KYE_2023-09-26_final.stac-item
2023-09-26 10:22:11	ga_s2am_ard_3-2-1_54KXE_2023-09-26_final.stac-item
2023-09-26 10:22:59	ga_s2am_ard_3-2-1_54KWB_2023-09-26_final.stac-item
2023-09-26 10:23:02	ga_s2am_ard_3-2-1_54KVB_2023-09-26_final.stac-item
2023-09-26 10:23:08	ga_s2am_ard_3-2-1_54KXA_2023-09-26_final.stac-item
2023-09-26 10:23:13	ga_s2am_ard_3-2-1_54KWA_2023-09-26_final.stac-item
2023-09-26 10:23:17	ga_s2am_ard_3-2-1_54KVA_2023-09-26_final.stac-item
2023-09-26 10:23:19	ga_s2am_ard_3-2-1_54KXV_2023-09-26_final.stac-item
2023-09-26 10:23:20	ga_s2am_ard_3-2-1_54KUA_2023-09-26_final.stac-item
2023-09-26 10:23:34	ga_s2am_ard_3-2-1_54KUV_2023-09-26_final.stac-item
2023-09-26 10:23:39	ga_s2am_ard_3-2-1_54KTV_2023-09-26_final.stac-item
2023-09-26 10:23:42	ga_s2am_ard_3-2-1_53KRQ_2023-09-26_final.stac-item
2023-09-26 10:23:42	ga_s2am_ard_3-2-1_54KWU_2023-09-26_final.stac-item
2023-09-26 10:23:49	ga_s2am_ard_3-2-1_54KUU_2023-09-26_final.stac-item
2023-09-26 10:23:53	ga_s2am_ard_3-2-1_53KRP_2023-09-26_final.stac-item
2023-09-26 10:23:57	ga_s2am_ard_3-2-1_54JWT_2023-09-26_final.stac-item
2023-09-26 10:24:00	ga_s2am_ard_3-2-1_54JVT_2023-09-26_final.stac-item
2023-09-26 10:24:06	ga_s2am_ard_3-2-1_54JTT_2023-09-26_final.stac-item
2023-09-26 10:24:18	ga_s2am_ard_3-2-1_54JUS_2023-09-26_final.stac-item
2023-09-26 10:24:21	ga_s2am_ard_3-2-1_53JRM_2023-09-26_final.stac-item
2023-09-26 10:24:23	ga_s2am_ard_3-2-1_54JWR_2023-09-26_final.stac-item
2023-09-26 10:24:29	ga_s2am_ard_3-2-1_54JVR_2023-09-26_final.stac-item
2023-09-26 10:24:42	ga_s2am_ard_3-2-1_53JQL_2023-09-26_final.stac-item
2023-09-26 10:24:47	ga_s2am_ard_3-2-1_54JUQ_2023-09-26_final.stac-item
2023-09-26 10:24:58	ga_s2am_ard_3-2-1_54JVP_2023-09-26_final.stac-item
2023-09-26 10:25:02	ga_s2am_ard_3-2-1_54JUP_2023-09-26_final.stac-item
2023-09-26 10:25:08	ga_s2am_ard_3-2-1_53JQJ_2023-09-26_final.stac-item
2023-09-26 10:25:31	ga_s2am_ard_3-2-1_54JUM_2023-09-26_final.stac-item
2023-09-26 10:25:37	ga_s2am_ard_3-2-1_53JQG_2023-09-26_final.stac-item
2023-09-26 10:26:00	ga_s2am_ard_3-2-1_54HUK_2023-09-26_final.stac-item
2023-09-26 10:26:03	ga_s2am_ard_3-2-1_54HTK_2023-09-26_final.stac-item
2023-09-26 10:26:06	ga_s2am_ard_3-2-1_53HQE_2023-09-26_final.stac-item
2023-09-26 10:26:09	ga_s2am_ard_3-2-1_53HPE_2023-09-26_final.stac-item
2023-09-26 10:26:15	ga_s2am_ard_3-2-1_54HUJ_2023-09-26_final.stac-item
2023-09-26 10:26:17	ga_s2am_ard_3-2-1_54HTJ_2023-09-26_final.stac-item
2023-09-26 10:26:18	ga_s2am_ard_3-2-1_53HQD_2023-09-26_final.stac-item
2023-09-26 10:26:20	ga_s2am_ard_3-2-1_53HPD_2023-09-26_final.stac-item
2023-09-26 10:26:23	ga_s2am_ard_3-2-1_54HUH_2023-09-26_final.stac-item
2023-09-26 10:26:25	ga_s2am_ard_3-2-1_53HQC_2023-09-26_final.stac-item
2023-09-26 10:26:25	ga_s2am_ard_3-2-1_53HQD_2023-09-26_final.stac-item
2023-09-26 10:26:29	ga_s2am_ard_3-2-1_54HUH_2023-09-26_final.stac-item
2023-09-26 10:26:34	ga_s2am_ard_3-2-1_53HQC_2023-09-26_final.stac-item
2023-09-26 10:26:38	ga_s2am_ard_3-2-1_53HPC_2023-09-26_final.stac-item
2023-09-26 10:26:47	ga_s2am_ard_3-2-1_54HTG_2023-09-26_final.stac-item
2023-09-26 10:26:49	ga_s2am_ard_3-2-1_53HQB_2023-09-26_final.stac-item
2023-09-26 10:26:53	ga_s2am_ard_3-2-1_54HUF_2023-09-26_final.stac-item
2023-09-26 10:27:01	ga_s2am_ard_3-2-1_54HTF_2023-09-26_final.stac-item
2023-09-26 10:27:03	ga_s2am_ard_3-2-1_53HQA_2023-09-26_final.stac-item
2023-09-26 10:27:07	ga_s2am_ard_3-2-1_53HPA_2023-09-26_final.stac-item
2023-09-26 10:27:13	ga_s2am_ard_3-2-1_54HTE_2023-09-26_final.stac-item
2023-09-26 10:27:14	ga_s2am_ard_3-2-1_53HQV_2023-09-26_final.stac-item
2023-09-26 10:27:16	ga_s2am_ard_3-2-1_53HPV_2023-09-26_final.stac-item
2023-09-26 10:27:18	ga_s2am_ard_3-2-1_53HNV_2023-09-26_nrt.stac-item
2023-09-26 12:01:14	ga_s2am_ard_3-2-1_50LMM_2023-09-26_nrt.stac-item
2023-09-26 12:01:26	ga_s2am_ard_3-2-1_50LNL_2023-09-26_nrt.stac-item
2023-09-26 12:01:29	ga_s2am_ard_3-2-1_50LQK_2023-09-26_nrt.stac-item
2023-09-26 12:01:29	ga_s2am_ard_3-2-1_50LML_2023-09-26_nrt.stac-item
2023-09-26 12:03:17	ga_s2am_ard_3-2-1_50KKD_2023-09-26_nrt.stac-item
2023-09-26 12:03:19	ga_s2am_ard_3-2-1_49KHU_2023-09-26_nrt.stac-item
2023-09-26 12:03:35	ga_s2am_ard_3-2-1_50KNB_2023-09-26_final.stac-item
2023-09-26 12:03:40	ga_s2am_ard_3-2-1_50KMB_2023-09-26_final.stac-item
2023-09-26 12:03:46	ga_s2am_ard_3-2-1_50KNA_2023-09-26_final.stac-item
2023-09-26 12:03:47	ga_s2am_ard_3-2-1_49KHS_2023-09-26_final.stac-item
2023-09-26 12:03:54	ga_s2am_ard_3-2-1_50KMA_2023-09-26_final.stac-item
2023-09-26 12:03:58	ga_s2am_ard_3-2-1_50KLA_2023-09-26_final.stac-item
2023-09-26 12:04:01	ga_s2am_ard_3-2-1_50KKA_2023-09-26_final.stac-item
2023-09-26 12:04:01	ga_s2am_ard_3-2-1_49KHR_2023-09-26_final.stac-item
2023-09-26 12:04:12	ga_s2am_ard_3-2-1_50KLV_2023-09-26_final.stac-item
2023-09-26 12:04:15	ga_s2am_ard_3-2-1_50KKV_2023-09-26_final.stac-item
2023-09-26 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2023-09-26_final.stac-item
2023-09-26 12:04:20	ga_s2am_ard_3-2-1_49KGQ_2023-09-26_final.stac-item
2023-09-26 12:04:24	ga_s2am_ard_3-2-1_50KMU_2023-09-26_final.stac-item
2023-09-26 12:04:27	ga_s2am_ard_3-2-1_50KLU_2023-09-26_final.stac-item
2023-09-26 12:04:30	ga_s2am_ard_3-2-1_49KHP_2023-09-26_final.stac-item
2023-09-26 12:04:38	ga_s2am_ard_3-2-1_50JMT_2023-09-26_final.stac-item
2023-09-26 12:04:56	ga_s2am_ard_3-2-1_50JLS_2023-09-26_final.stac-item
2023-09-26 12:04:59	ga_s2am_ard_3-2-1_49JHM_2023-09-26_final.stac-item
2023-09-26 12:05:01	ga_s2am_ard_3-2-1_50JMR_2023-09-26_final.stac-item
2023-09-26 12:05:11	ga_s2am_ard_3-2-1_49JFM_2023-09-26_final.stac-item
2023-09-26 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2023-09-26_final.stac-item
2023-09-26 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2023-09-26_final.stac-item
2023-09-26 12:05:35	ga_s2am_ard_3-2-1_49JFK_2023-09-26_nrt.stac-item
2023-09-26 12:05:40	ga_s2am_ard_3-2-1_50JLP_2023-09-26_final.stac-item
2023-09-26 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2023-09-26_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

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