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
2023-05-06 11:52:34	ga_s2am_ard_3-2-1_50KQF_2023-05-06_final.stac-item
2023-05-06 11:52:38	ga_s2am_ard_3-2-1_50KPF_2023-05-06_final.stac-item
2023-05-06 11:52:49	ga_s2am_ard_3-2-1_50KQE_2023-05-06_final.stac-item
2023-05-06 11:52:54	ga_s2am_ard_3-2-1_51KTU_2023-05-06_final.stac-item
2023-05-06 11:52:59	ga_s2am_ard_3-2-1_50KRD_2023-05-06_final.stac-item
2023-05-06 11:53:17	ga_s2am_ard_3-2-1_50KQC_2023-05-06_final.stac-item
2023-05-06 11:53:32	ga_s2am_ard_3-2-1_50KQB_2023-05-06_final.stac-item
2023-05-06 11:53:43	ga_s2am_ard_3-2-1_50KMB_2023-05-06_final.stac-item
2023-05-06 11:53:50	ga_s2am_ard_3-2-1_50KPA_2023-05-06_final.stac-item
2023-05-06 11:53:54	ga_s2am_ard_3-2-1_50KNA_2023-05-06_final.stac-item
2023-05-06 11:53:57	ga_s2am_ard_3-2-1_50KMA_2023-05-06_final.stac-item
2023-05-06 11:54:01	ga_s2am_ard_3-2-1_50KQV_2023-05-06_final.stac-item
2023-05-06 11:54:08	ga_s2am_ard_3-2-1_50KNV_2023-05-06_final.stac-item
2023-05-06 11:54:11	ga_s2am_ard_3-2-1_50KMV_2023-05-06_final.stac-item
2023-05-06 11:54:19	ga_s2am_ard_3-2-1_50KPU_2023-05-06_final.stac-item
2023-05-06 11:54:23	ga_s2am_ard_3-2-1_50KNU_2023-05-06_final.stac-item
2023-05-06 11:54:33	ga_s2am_ard_3-2-1_50JPT_2023-05-06_final.stac-item
2023-05-06 11:54:37	ga_s2am_ard_3-2-1_50JNT_2023-05-06_final.stac-item
2023-05-06 11:54:52	ga_s2am_ard_3-2-1_50JNS_2023-05-06_final.stac-item
2023-05-06 11:54:55	ga_s2am_ard_3-2-1_50JMS_2023-05-06_final.stac-item
2023-05-06 11:55:06	ga_s2am_ard_3-2-1_50JNR_2023-05-06_final.stac-item
2023-05-06 11:55:10	ga_s2am_ard_3-2-1_50JMR_2023-05-06_final.stac-item
2023-05-06 11:55:13	ga_s2am_ard_3-2-1_50JLR_2023-05-06_final.stac-item
2023-05-06 11:55:16	ga_s2am_ard_3-2-1_50JPQ_2023-05-06_final.stac-item
2023-05-06 11:55:26	ga_s2am_ard_3-2-1_50JPP_2023-05-06_final.stac-item
2023-05-06 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2023-05-06_final.stac-item
2023-05-06 11:55:49	ga_s2am_ard_3-2-1_50JNN_2023-05-06_final.stac-item
2023-05-06 11:55:59	ga_s2am_ard_3-2-1_50JKN_2023-05-06_final.stac-item
2023-05-06 11:56:04	ga_s2am_ard_3-2-1_50JNM_2023-05-06_final.stac-item
2023-05-06 11:56:08	ga_s2am_ard_3-2-1_50JMM_2023-05-06_final.stac-item
2023-05-06 11:56:11	ga_s2am_ard_3-2-1_50JLM_2023-05-06_final.stac-item
2023-05-06 11:56:14	ga_s2am_ard_3-2-1_50JKM_2023-05-06_final.stac-item
2023-05-06 11:56:22	ga_s2am_ard_3-2-1_50JML_2023-05-06_final.stac-item
2023-05-06 11:56:26	ga_s2am_ard_3-2-1_50JLL_2023-05-06_final.stac-item
2023-05-06 11:56:30	ga_s2am_ard_3-2-1_50HNK_2023-05-06_final.stac-item
2023-05-06 11:56:37	ga_s2am_ard_3-2-1_50HMK_2023-05-06_final.stac-item
2023-05-06 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-05-06_final.stac-item
2023-05-06 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2023-05-06_final.stac-item
2023-05-06 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2023-05-06_final.stac-item
2023-05-06 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-05-06_final.stac-item
2023-05-07 11:22:12	ga_s2am_ard_3-2-1_51KYB_2023-05-07_final.stac-item
2023-05-07 11:22:27	ga_s2am_ard_3-2-1_51KYA_2023-05-07_final.stac-item
2023-05-07 11:23:13	ga_s2am_ard_3-2-1_51KXT_2023-05-07_final.stac-item
2023-05-07 11:23:28	ga_s2am_ard_3-2-1_51KXS_2023-05-07_final.stac-item
2023-05-07 11:24:12	ga_s2am_ard_3-2-1_51KXP_2023-05-07_final.stac-item
2023-05-07 11:24:23	ga_s2am_ard_3-2-1_51JYN_2023-05-07_final.stac-item
2023-05-07 11:24:26	ga_s2am_ard_3-2-1_51JXN_2023-05-07_final.stac-item
2023-05-07 11:24:32	ga_s2am_ard_3-2-1_51JZM_2023-05-07_final.stac-item
2023-05-07 11:24:59	ga_s2am_ard_3-2-1_51JWL_2023-05-07_final.stac-item
2023-05-07 11:25:06	ga_s2am_ard_3-2-1_51JYK_2023-05-07_final.stac-item
2023-05-07 11:25:13	ga_s2am_ard_3-2-1_51JWK_2023-05-07_final.stac-item
2023-05-07 11:25:16	ga_s2am_ard_3-2-1_51JVK_2023-05-07_final.stac-item
2023-05-07 11:25:20	ga_s2am_ard_3-2-1_51JYJ_2023-05-07_final.stac-item
2023-05-07 11:25:31	ga_s2am_ard_3-2-1_51JVJ_2023-05-07_final.stac-item
2023-05-07 11:25:53	ga_s2am_ard_3-2-1_51JXG_2023-05-07_final.stac-item
2023-05-07 11:25:57	ga_s2am_ard_3-2-1_51JWG_2023-05-07_final.stac-item
2023-05-07 11:26:07	ga_s2am_ard_3-2-1_51JXF_2023-05-07_final.stac-item
2023-05-07 11:26:11	ga_s2am_ard_3-2-1_51JWF_2023-05-07_final.stac-item
2023-05-07 11:26:15	ga_s2am_ard_3-2-1_51JVF_2023-05-07_final.stac-item
2023-05-07 11:26:47	ga_s2am_ard_3-2-1_51HUD_2023-05-07_final.stac-item
2023-05-07 11:26:47	ga_s2am_ard_3-2-1_51HXC_2023-05-07_final.stac-item
2023-05-07 11:26:54	ga_s2am_ard_3-2-1_51HWC_2023-05-07_final.stac-item
2023-05-07 11:26:58	ga_s2am_ard_3-2-1_51HVC_2023-05-07_final.stac-item
2023-05-07 11:27:02	ga_s2am_ard_3-2-1_51HUC_2023-05-07_final.stac-item
2023-05-07 11:27:07	ga_s2am_ard_3-2-1_51HWB_2023-05-07_final.stac-item
2023-05-07 11:27:07	ga_s2am_ard_3-2-1_51HTC_2023-05-07_final.stac-item
2023-05-07 11:27:09	ga_s2am_ard_3-2-1_51HVB_2023-05-07_final.stac-item
2023-05-09 12:03:26	ga_s2am_ard_3-2-1_50KLC_2023-05-09_final.stac-item
2023-05-09 12:03:37	ga_s2am_ard_3-2-1_50KMB_2023-05-09_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_50KNA_2023-05-09_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_50KKB_2023-05-09_final.stac-item
2023-05-09 12:03:44	ga_s2am_ard_3-2-1_49KHS_2023-05-09_final.stac-item
2023-05-09 12:03:52	ga_s2am_ard_3-2-1_50KMA_2023-05-09_final.stac-item
2023-05-09 12:03:55	ga_s2am_ard_3-2-1_50KLA_2023-05-09_final.stac-item
2023-05-09 12:03:58	ga_s2am_ard_3-2-1_50KKA_2023-05-09_final.stac-item
2023-05-09 12:04:06	ga_s2am_ard_3-2-1_50KMV_2023-05-09_final.stac-item
2023-05-09 12:04:23	ga_s2am_ard_3-2-1_49KHP_2023-05-09_final.stac-item
2023-05-09 12:04:30	ga_s2am_ard_3-2-1_49KHP_2023-05-09_final.stac-item
2023-05-09 12:04:42	ga_s2am_ard_3-2-1_49JHN_2023-05-09_final.stac-item
2023-05-09 12:04:48	ga_s2am_ard_3-2-1_50JMS_2023-05-09_final.stac-item
2023-05-09 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-05-09_final.stac-item
2023-05-09 12:04:58	ga_s2am_ard_3-2-1_50JMR_2023-05-09_final.stac-item
2023-05-09 12:05:08	ga_s2am_ard_3-2-1_50JLR_2023-05-09_final.stac-item
2023-05-09 12:05:08	ga_s2am_ard_3-2-1_49JFM_2023-05-09_final.stac-item
2023-05-09 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-05-09_final.stac-item
2023-05-09 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2023-05-09_final.stac-item
2023-05-09 12:05:29	ga_s2am_ard_3-2-1_49JGK_2023-05-09_final.stac-item
2023-05-09 12:05:55	ga_s2am_ard_3-2-1_50JKN_2023-05-09_final.stac-item
2023-05-09 12:05:58	ga_s2am_ard_3-2-1_49JGH_2023-05-09_final.stac-item
2023-05-09 12:06:04	ga_s2am_ard_3-2-1_50JLM_2023-05-09_final.stac-item
2023-05-09 12:06:09	ga_s2am_ard_3-2-1_50JKM_2023-05-09_final.stac-item
2023-05-09 12:06:14	ga_s2am_ard_3-2-1_50JLL_2023-05-09_final.stac-item
2023-05-22 12:13:31	ga_s2am_ard_3-2-1_49KHT_2023-05-22_nrt.stac-item
2023-05-22 12:15:17	ga_s2am_ard_3-2-1_49JFL_2023-05-22_nrt.stac-item
2023-05-23 11:42:23	ga_s2am_ard_3-2-1_51KTB_2023-05-23_nrt.stac-item
2023-05-23 11:42:23	ga_s2am_ard_3-2-1_50KRG_2023-05-23_nrt.stac-item
2023-05-23 11:42:38	ga_s2am_ard_3-2-1_50KRF_2023-05-23_nrt.stac-item
2023-05-23 11:42:53	ga_s2am_ard_3-2-1_50KRE_2023-05-23_nrt.stac-item
2023-05-23 11:47:32	ga_s2am_ard_3-2-1_50HPF_2023-05-23_nrt.stac-item
2023-05-23 11:47:34	ga_s2am_ard_3-2-1_50HNF_2023-05-23_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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