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
2023-09-05 14:23:47	ga_s2am_ard_3-2-1_42FYF_2023-09-05_final.stac-item
2023-09-06 10:20:10	ga_s2am_ard_3-2-1_55LBH_2023-09-06_nrt.stac-item
2023-09-06 10:20:12	ga_s2am_ard_3-2-1_54LZN_2023-09-06_final.stac-item
2023-09-06 10:20:15	ga_s2am_ard_3-2-1_54LYN_2023-09-06_final.stac-item
2023-09-06 10:20:19	ga_s2am_ard_3-2-1_54LXN_2023-09-06_final.stac-item
2023-09-06 10:20:23	ga_s2am_ard_3-2-1_54LWN_2023-09-06_final.stac-item
2023-09-06 10:20:36	ga_s2am_ard_3-2-1_54LWM_2023-09-06_final.stac-item
2023-09-06 10:20:51	ga_s2am_ard_3-2-1_54LWL_2023-09-06_final.stac-item
2023-09-06 10:21:06	ga_s2am_ard_3-2-1_54LWK_2023-09-06_final.stac-item
2023-09-06 10:21:06	ga_s2am_ard_3-2-1_54LZJ_2023-09-06_final.stac-item
2023-09-06 10:21:13	ga_s2am_ard_3-2-1_54LYJ_2023-09-06_final.stac-item
2023-09-06 10:21:17	ga_s2am_ard_3-2-1_54LXJ_2023-09-06_final.stac-item
2023-09-06 10:21:31	ga_s2am_ard_3-2-1_54LXH_2023-09-06_final.stac-item
2023-09-06 10:21:35	ga_s2am_ard_3-2-1_54LWH_2023-09-06_final.stac-item
2023-09-06 10:21:38	ga_s2am_ard_3-2-1_54LVH_2023-09-06_final.stac-item
2023-09-06 10:21:52	ga_s2am_ard_3-2-1_54KVG_2023-09-06_final.stac-item
2023-09-06 10:21:56	ga_s2am_ard_3-2-1_54KYF_2023-09-06_final.stac-item
2023-09-06 10:22:09	ga_s2am_ard_3-2-1_54KYE_2023-09-06_final.stac-item
2023-09-06 10:22:15	ga_s2am_ard_3-2-1_54KXE_2023-09-06_final.stac-item
2023-09-06 10:22:18	ga_s2am_ard_3-2-1_54KWE_2023-09-06_final.stac-item
2023-09-06 10:22:19	ga_s2am_ard_3-2-1_54KYD_2023-09-06_final.stac-item
2023-09-06 10:22:22	ga_s2am_ard_3-2-1_54KVE_2023-09-06_final.stac-item
2023-09-06 10:22:29	ga_s2am_ard_3-2-1_54KUE_2023-09-06_final.stac-item
2023-09-06 10:23:02	ga_s2am_ard_3-2-1_54KWB_2023-09-06_final.stac-item
2023-09-06 10:23:16	ga_s2am_ard_3-2-1_54KWA_2023-09-06_final.stac-item
2023-09-06 10:23:20	ga_s2am_ard_3-2-1_54KVA_2023-09-06_final.stac-item
2023-09-06 10:23:55	ga_s2am_ard_3-2-1_54KTU_2023-09-06_final.stac-item
2023-09-06 10:24:09	ga_s2am_ard_3-2-1_53JRN_2023-09-06_final.stac-item
2023-09-06 10:24:14	ga_s2am_ard_3-2-1_54JWS_2023-09-06_final.stac-item
2023-09-06 10:24:18	ga_s2am_ard_3-2-1_54JVS_2023-09-06_final.stac-item
2023-09-06 10:24:21	ga_s2am_ard_3-2-1_54JUS_2023-09-06_final.stac-item
2023-09-06 10:24:26	ga_s2am_ard_3-2-1_54JWR_2023-09-06_final.stac-item
2023-09-06 10:24:36	ga_s2am_ard_3-2-1_54JUR_2023-09-06_final.stac-item
2023-09-06 10:24:45	ga_s2am_ard_3-2-1_53JQL_2023-09-06_final.stac-item
2023-09-06 10:24:47	ga_s2am_ard_3-2-1_54JVQ_2023-09-06_final.stac-item
2023-09-06 10:24:50	ga_s2am_ard_3-2-1_54JUQ_2023-09-06_final.stac-item
2023-09-06 10:24:57	ga_s2am_ard_3-2-1_53JQK_2023-09-06_final.stac-item
2023-09-06 10:25:19	ga_s2am_ard_3-2-1_54JUN_2023-09-06_final.stac-item
2023-09-06 10:25:37	ga_s2am_ard_3-2-1_54JTM_2023-09-06_final.stac-item
2023-09-06 10:25:40	ga_s2am_ard_3-2-1_53JQG_2023-09-06_final.stac-item
2023-09-06 10:25:40	ga_s2am_ard_3-2-1_54JVL_2023-09-06_final.stac-item
2023-09-06 10:25:48	ga_s2am_ard_3-2-1_54JUL_2023-09-06_final.stac-item
2023-09-06 10:25:54	ga_s2am_ard_3-2-1_53JQF_2023-09-06_final.stac-item
2023-09-06 10:25:58	ga_s2am_ard_3-2-1_53JPF_2023-09-06_final.stac-item
2023-09-06 10:26:03	ga_s2am_ard_3-2-1_54HUK_2023-09-06_final.stac-item
2023-09-06 10:26:06	ga_s2am_ard_3-2-1_54HTK_2023-09-06_final.stac-item
2023-09-06 10:26:09	ga_s2am_ard_3-2-1_53HQE_2023-09-06_final.stac-item
2023-09-06 10:26:12	ga_s2am_ard_3-2-1_53HPE_2023-09-06_final.stac-item
2023-09-06 10:26:18	ga_s2am_ard_3-2-1_54HUJ_2023-09-06_final.stac-item
2023-09-06 10:26:21	ga_s2am_ard_3-2-1_54HTJ_2023-09-06_final.stac-item
2023-09-06 10:26:23	ga_s2am_ard_3-2-1_53HQD_2023-09-06_final.stac-item
2023-09-06 10:26:27	ga_s2am_ard_3-2-1_53HPD_2023-09-06_final.stac-item
2023-09-06 10:26:32	ga_s2am_ard_3-2-1_54HUH_2023-09-06_final.stac-item
2023-09-06 10:26:36	ga_s2am_ard_3-2-1_54HTH_2023-09-06_final.stac-item
2023-09-06 10:26:38	ga_s2am_ard_3-2-1_53HQC_2023-09-06_final.stac-item
2023-09-06 10:26:41	ga_s2am_ard_3-2-1_53HPC_2023-09-06_final.stac-item
2023-09-06 10:26:45	ga_s2am_ard_3-2-1_54HUG_2023-09-06_final.stac-item
2023-09-06 10:26:46	ga_s2am_ard_3-2-1_53HNC_2023-09-06_final.stac-item
2023-09-06 10:26:50	ga_s2am_ard_3-2-1_54HTG_2023-09-06_final.stac-item
2023-09-06 10:26:52	ga_s2am_ard_3-2-1_53HQB_2023-09-06_final.stac-item
2023-09-06 10:26:56	ga_s2am_ard_3-2-1_53HPB_2023-09-06_final.stac-item
2023-09-06 10:26:59	ga_s2am_ard_3-2-1_53HNB_2023-09-06_final.stac-item
2023-09-06 10:27:04	ga_s2am_ard_3-2-1_54HTF_2023-09-06_final.stac-item
2023-09-06 10:27:06	ga_s2am_ard_3-2-1_53HQA_2023-09-06_final.stac-item
2023-09-06 10:27:10	ga_s2am_ard_3-2-1_53HPA_2023-09-06_final.stac-item
2023-09-06 12:00:53	ga_s2am_ard_3-2-1_50LQN_2023-09-06_nrt.stac-item
2023-09-06 12:00:57	ga_s2am_ard_3-2-1_50LPN_2023-09-06_nrt.stac-item
2023-09-06 12:01:14	ga_s2am_ard_3-2-1_50LNM_2023-09-06_nrt.stac-item
2023-09-06 12:01:17	ga_s2am_ard_3-2-1_50LMM_2023-09-06_nrt.stac-item
2023-09-06 12:01:29	ga_s2am_ard_3-2-1_50LNL_2023-09-06_nrt.stac-item
2023-09-06 12:01:38	ga_s2am_ard_3-2-1_50LPK_2023-09-06_nrt.stac-item
2023-09-06 12:01:42	ga_s2am_ard_3-2-1_50LMK_2023-09-06_nrt.stac-item
2023-09-06 12:03:00	ga_s2am_ard_3-2-1_50KNE_2023-09-06_nrt.stac-item
2023-09-06 12:03:02	ga_s2am_ard_3-2-1_50KME_2023-09-06_nrt.stac-item
2023-09-06 12:03:20	ga_s2am_ard_3-2-1_50KKD_2023-09-06_nrt.stac-item
2023-09-06 12:03:32	ga_s2am_ard_3-2-1_50KLC_2023-09-06_final.stac-item
2023-09-06 12:03:38	ga_s2am_ard_3-2-1_50KNB_2023-09-06_final.stac-item
2023-09-06 12:03:43	ga_s2am_ard_3-2-1_50KMB_2023-09-06_final.stac-item
2023-09-06 12:03:57	ga_s2am_ard_3-2-1_50KMA_2023-09-06_final.stac-item
2023-09-06 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2023-09-06_final.stac-item
2023-09-06 12:04:33	ga_s2am_ard_3-2-1_50KKU_2023-09-06_final.stac-item
2023-09-06 12:04:36	ga_s2am_ard_3-2-1_49KGP_2023-09-06_final.stac-item
2023-09-06 12:04:48	ga_s2am_ard_3-2-1_49JHN_2023-09-06_final.stac-item
2023-09-06 12:04:48	ga_s2am_ard_3-2-1_50JKT_2023-09-06_final.stac-item
2023-09-06 12:04:51	ga_s2am_ard_3-2-1_49JGN_2023-09-06_final.stac-item
2023-09-06 12:04:54	ga_s2am_ard_3-2-1_50JMS_2023-09-06_final.stac-item
2023-09-06 12:05:04	ga_s2am_ard_3-2-1_50JMR_2023-09-06_final.stac-item
2023-09-06 12:05:13	ga_s2am_ard_3-2-1_50JLR_2023-09-06_final.stac-item
2023-09-06 12:05:20	ga_s2am_ard_3-2-1_49JGL_2023-09-06_final.stac-item
2023-09-06 12:05:28	ga_s2am_ard_3-2-1_50JLQ_2023-09-06_final.stac-item
2023-09-06 12:05:35	ga_s2am_ard_3-2-1_49JGK_2023-09-06_final.stac-item
2023-09-06 12:05:38	ga_s2am_ard_3-2-1_49JFK_2023-09-06_nrt.stac-item
2023-09-06 12:05:53	ga_s2am_ard_3-2-1_49JFJ_2023-09-06_nrt.stac-item
2023-09-06 12:05:57	ga_s2am_ard_3-2-1_50JLN_2023-09-06_final.stac-item
2023-09-06 12:06:07	ga_s2am_ard_3-2-1_49JFH_2023-09-06_nrt.stac-item
2023-09-06 12:06:09	ga_s2am_ard_3-2-1_50JLM_2023-09-06_final.stac-item
2023-09-06 12:06:15	ga_s2am_ard_3-2-1_50JKM_2023-09-06_final.stac-item
2023-09-06 12:06:18	ga_s2am_ard_3-2-1_49JGG_2023-09-06_nrt.stac-item
2023-09-06 12:06:19	ga_s2am_ard_3-2-1_50JLL_2023-09-06_final.stac-item
2023-09-06 12:06:27	ga_s2am_ard_3-2-1_50JKL_2023-09-06_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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