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
2023-05-10 11:31:30	ga_s2am_ard_3-2-1_51LWE_2023-05-10_final.stac-item
2023-05-10 11:31:52	ga_s2am_ard_3-2-1_51LYC_2023-05-10_final.stac-item
2023-05-10 11:32:07	ga_s2am_ard_3-2-1_51KYB_2023-05-10_final.stac-item
2023-05-10 11:32:11	ga_s2am_ard_3-2-1_51KXB_2023-05-10_final.stac-item
2023-05-10 11:32:21	ga_s2am_ard_3-2-1_51KYA_2023-05-10_final.stac-item
2023-05-10 11:32:32	ga_s2am_ard_3-2-1_51KVA_2023-05-10_final.stac-item
2023-05-10 11:32:46	ga_s2am_ard_3-2-1_51KVV_2023-05-10_final.stac-item
2023-05-10 11:33:01	ga_s2am_ard_3-2-1_51KVU_2023-05-10_final.stac-item
2023-05-10 11:33:08	ga_s2am_ard_3-2-1_51KXT_2023-05-10_final.stac-item
2023-05-10 11:33:23	ga_s2am_ard_3-2-1_51KXS_2023-05-10_final.stac-item
2023-05-10 11:33:44	ga_s2am_ard_3-2-1_51KVR_2023-05-10_final.stac-item
2023-05-10 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2023-05-10_final.stac-item
2023-05-10 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2023-05-10_final.stac-item
2023-05-10 11:34:02	ga_s2am_ard_3-2-1_51KUQ_2023-05-10_final.stac-item
2023-05-10 11:34:05	ga_s2am_ard_3-2-1_51KXP_2023-05-10_final.stac-item
2023-05-10 11:34:10	ga_s2am_ard_3-2-1_51KWP_2023-05-10_final.stac-item
2023-05-10 11:34:15	ga_s2am_ard_3-2-1_51JXN_2023-05-10_final.stac-item
2023-05-10 11:34:35	ga_s2am_ard_3-2-1_51JTN_2023-05-10_final.stac-item
2023-05-10 11:35:07	ga_s2am_ard_3-2-1_51JWK_2023-05-10_final.stac-item
2023-05-10 11:35:12	ga_s2am_ard_3-2-1_51JVK_2023-05-10_final.stac-item
2023-05-10 11:35:33	ga_s2am_ard_3-2-1_51JTJ_2023-05-10_final.stac-item
2023-05-10 11:35:44	ga_s2am_ard_3-2-1_51JUH_2023-05-10_final.stac-item
2023-05-10 11:35:47	ga_s2am_ard_3-2-1_51JTH_2023-05-10_final.stac-item
2023-05-10 11:36:19	ga_s2am_ard_3-2-1_50JQL_2023-05-10_final.stac-item
2023-05-10 11:36:33	ga_s2am_ard_3-2-1_50HQK_2023-05-10_final.stac-item
2023-05-10 11:36:37	ga_s2am_ard_3-2-1_50HPK_2023-05-10_final.stac-item
2023-05-10 11:36:46	ga_s2am_ard_3-2-1_51HTD_2023-05-10_final.stac-item
2023-05-10 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2023-05-10_final.stac-item
2023-05-10 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2023-05-10_final.stac-item
2023-05-10 11:36:57	ga_s2am_ard_3-2-1_51HUC_2023-05-10_final.stac-item
2023-05-11 11:04:17	ga_s2am_ard_3-2-1_52JET_2023-05-11_final.stac-item
2023-05-11 11:04:23	ga_s2am_ard_3-2-1_52JGS_2023-05-11_final.stac-item
2023-05-11 11:04:35	ga_s2am_ard_3-2-1_52JDS_2023-05-11_final.stac-item
2023-05-11 11:04:42	ga_s2am_ard_3-2-1_52JFR_2023-05-11_final.stac-item
2023-05-11 11:04:50	ga_s2am_ard_3-2-1_52JDR_2023-05-11_final.stac-item
2023-05-11 11:04:57	ga_s2am_ard_3-2-1_52JFQ_2023-05-11_final.stac-item
2023-05-11 11:05:07	ga_s2am_ard_3-2-1_52JCQ_2023-05-11_final.stac-item
2023-05-11 11:05:30	ga_s2am_ard_3-2-1_52JEN_2023-05-11_final.stac-item
2023-05-11 11:06:02	ga_s2am_ard_3-2-1_52JDL_2023-05-11_final.stac-item
2023-05-12 12:13:39	ga_s2am_ard_3-2-1_50KKB_2023-05-12_final.stac-item
2023-05-12 12:13:39	ga_s2am_ard_3-2-1_49KHS_2023-05-12_final.stac-item
2023-05-12 12:13:54	ga_s2am_ard_3-2-1_49KHR_2023-05-12_final.stac-item
2023-05-12 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2023-05-12_final.stac-item
2023-05-12 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-05-12_final.stac-item
2023-05-12 12:15:18	ga_s2am_ard_3-2-1_49JGK_2023-05-12_final.stac-item
2023-05-13 11:40:57	ga_s2am_ard_3-2-1_51LWG_2023-05-13_final.stac-item
2023-05-13 11:41:15	ga_s2am_ard_3-2-1_51LVF_2023-05-13_final.stac-item
2023-05-13 11:41:26	ga_s2am_ard_3-2-1_51LWE_2023-05-13_final.stac-item
2023-05-13 11:41:29	ga_s2am_ard_3-2-1_51LVE_2023-05-13_final.stac-item
2023-05-13 11:41:47	ga_s2am_ard_3-2-1_51LUD_2023-05-13_final.stac-item
2023-05-13 11:42:02	ga_s2am_ard_3-2-1_51LUC_2023-05-13_final.stac-item
2023-05-13 11:42:42	ga_s2am_ard_3-2-1_51KVV_2023-05-13_final.stac-item
2023-05-13 11:42:56	ga_s2am_ard_3-2-1_51KVU_2023-05-13_final.stac-item
2023-05-13 11:43:47	ga_s2am_ard_3-2-1_50KRA_2023-05-13_final.stac-item
2023-05-13 11:44:01	ga_s2am_ard_3-2-1_51KTQ_2023-05-13_final.stac-item
2023-05-13 11:44:05	ga_s2am_ard_3-2-1_50KQV_2023-05-13_final.stac-item
2023-05-13 11:44:16	ga_s2am_ard_3-2-1_51KTP_2023-05-13_final.stac-item
2023-05-13 11:44:27	ga_s2am_ard_3-2-1_51JUN_2023-05-13_final.stac-item
2023-05-13 11:44:30	ga_s2am_ard_3-2-1_51JTN_2023-05-13_final.stac-item
2023-05-13 11:44:34	ga_s2am_ard_3-2-1_50JQT_2023-05-13_final.stac-item
2023-05-13 11:44:37	ga_s2am_ard_3-2-1_50JPT_2023-05-13_final.stac-item
2023-05-13 11:44:47	ga_s2am_ard_3-2-1_50JPS_2023-05-13_final.stac-item
2023-05-13 11:44:50	ga_s2am_ard_3-2-1_51JTM_2023-05-13_final.stac-item
2023-05-13 11:44:54	ga_s2am_ard_3-2-1_50JPS_2023-05-13_final.stac-item
2023-05-13 11:45:06	ga_s2am_ard_3-2-1_50JPR_2023-05-13_final.stac-item
2023-05-13 11:45:24	ga_s2am_ard_3-2-1_50JNQ_2023-05-13_final.stac-item
2023-05-13 11:45:29	ga_s2am_ard_3-2-1_51JTJ_2023-05-13_final.stac-item
2023-05-13 11:46:00	ga_s2am_ard_3-2-1_50JQM_2023-05-13_final.stac-item
2023-05-13 11:46:08	ga_s2am_ard_3-2-1_50JNM_2023-05-13_final.stac-item
2023-05-13 11:46:19	ga_s2am_ard_3-2-1_50JPL_2023-05-13_final.stac-item
2023-05-13 11:46:26	ga_s2am_ard_3-2-1_50JML_2023-05-13_final.stac-item
2023-05-13 11:46:37	ga_s2am_ard_3-2-1_50HNK_2023-05-13_final.stac-item
2023-05-13 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2023-05-13_final.stac-item
2023-05-13 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2023-05-13_final.stac-item
2023-05-13 11:46:53	ga_s2am_ard_3-2-1_50HQH_2023-05-13_final.stac-item
2023-05-13 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2023-05-13_final.stac-item
2023-05-13 11:47:02	ga_s2am_ard_3-2-1_50HPH_2023-05-13_final.stac-item
2023-05-13 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-05-13_final.stac-item
2023-05-13 11:47:20	ga_s2am_ard_3-2-1_50HNG_2023-05-13_final.stac-item
2023-05-13 11:47:24	ga_s2am_ard_3-2-1_50HMG_2023-05-13_final.stac-item
2023-05-13 11:47:26	ga_s2am_ard_3-2-1_50HLG_2023-05-13_final.stac-item
2023-05-14 11:12:35	ga_s2am_ard_3-2-1_52KDE_2023-05-14_final.stac-item
2023-05-14 11:12:38	ga_s2am_ard_3-2-1_52KCE_2023-05-14_final.stac-item
2023-05-14 11:12:53	ga_s2am_ard_3-2-1_52KCD_2023-05-14_final.stac-item
2023-05-14 11:13:29	ga_s2am_ard_3-2-1_51KZS_2023-05-14_final.stac-item
2023-05-14 11:13:37	ga_s2am_ard_3-2-1_52KCA_2023-05-14_final.stac-item
2023-05-14 11:13:48	ga_s2am_ard_3-2-1_52KDV_2023-05-14_final.stac-item
2023-05-14 11:14:46	ga_s2am_ard_3-2-1_52JDR_2023-05-14_final.stac-item
2023-05-14 11:15:04	ga_s2am_ard_3-2-1_52JCQ_2023-05-14_final.stac-item
2023-05-14 11:15:18	ga_s2am_ard_3-2-1_52JCP_2023-05-14_final.stac-item
2023-05-14 11:16:12	ga_s2am_ard_3-2-1_51JXF_2023-05-14_final.stac-item
2023-05-14 11:16:16	ga_s2am_ard_3-2-1_52HCK_2023-05-14_final.stac-item
2023-05-14 11:16:20	ga_s2am_ard_3-2-1_52HBK_2023-05-14_final.stac-item
2023-05-14 11:16:30	ga_s2am_ard_3-2-1_51HYE_2023-05-14_final.stac-item
2023-05-14 11:16:33	ga_s2am_ard_3-2-1_51HWE_2023-05-14_final.stac-item
2023-05-14 11:16:37	ga_s2am_ard_3-2-1_51HYD_2023-05-14_final.stac-item
2023-05-14 11:17:06	ga_s2am_ard_3-2-1_51HWB_2023-05-14_final.stac-item
2023-05-15 10:45:47	ga_s2am_ard_3-2-1_52JGM_2023-05-15_final.stac-item
2023-05-15 10:46:01	ga_s2am_ard_3-2-1_52JGL_2023-05-15_final.stac-item
2023-05-24 11:16:30	ga_s2am_ard_3-2-1_52HCJ_2023-05-24_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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