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
2023-02-21 12:14:43	ga_s2am_ard_3-2-1_49JFN_2023-02-21_final.stac-item
2023-02-21 12:14:50	ga_s2am_ard_3-2-1_49JFN_2023-02-21_final.stac-item
2023-02-21 12:15:08	ga_s2am_ard_3-2-1_49JGL_2023-02-21_final.stac-item
2023-02-22 08:24:26	ga_s2am_ard_3-2-1_58JGN_2023-02-21_final.stac-item
2023-02-22 10:00:10	ga_s2am_ard_3-2-1_55LGG_2023-02-22_nrt.stac-item
2023-02-22 10:00:14	ga_s2am_ard_3-2-1_55LFG_2023-02-22_nrt.stac-item
2023-02-22 10:00:17	ga_s2am_ard_3-2-1_55LEG_2023-02-22_nrt.stac-item
2023-02-22 10:00:20	ga_s2am_ard_3-2-1_55LDG_2023-02-22_nrt.stac-item
2023-02-22 10:00:32	ga_s2am_ard_3-2-1_55LEF_2023-02-22_nrt.stac-item
2023-02-22 10:00:34	ga_s2am_ard_3-2-1_55LDF_2023-02-22_nrt.stac-item
2023-02-22 10:00:38	ga_s2am_ard_3-2-1_55LGE_2023-02-22_nrt.stac-item
2023-02-22 10:00:42	ga_s2am_ard_3-2-1_55LFE_2023-02-22_nrt.stac-item
2023-02-22 10:01:47	ga_s2am_ard_3-2-1_55KDA_2023-02-22_final.stac-item
2023-02-22 10:02:20	ga_s2am_ard_3-2-1_55KCU_2023-02-22_final.stac-item
2023-02-22 10:02:34	ga_s2am_ard_3-2-1_55KCT_2023-02-22_final.stac-item
2023-02-22 10:02:55	ga_s2am_ard_3-2-1_55KER_2023-02-22_final.stac-item
2023-02-22 10:03:00	ga_s2am_ard_3-2-1_55KDR_2023-02-22_final.stac-item
2023-02-22 10:03:06	ga_s2am_ard_3-2-1_55KEQ_2023-02-22_final.stac-item
2023-02-22 10:03:13	ga_s2am_ard_3-2-1_55KDQ_2023-02-22_final.stac-item
2023-02-22 10:03:19	ga_s2am_ard_3-2-1_55KDP_2023-02-22_final.stac-item
2023-02-22 10:03:20	ga_s2am_ard_3-2-1_55KDQ_2023-02-22_final.stac-item
2023-02-22 10:03:22	ga_s2am_ard_3-2-1_55KCQ_2023-02-22_final.stac-item
2023-02-22 10:03:23	ga_s2am_ard_3-2-1_55KBQ_2023-02-22_final.stac-item
2023-02-22 10:03:23	ga_s2am_ard_3-2-1_54KZV_2023-02-22_final.stac-item
2023-02-22 10:03:36	ga_s2am_ard_3-2-1_55KBP_2023-02-22_final.stac-item
2023-02-22 10:03:40	ga_s2am_ard_3-2-1_54KYU_2023-02-22_final.stac-item
2023-02-22 10:03:44	ga_s2am_ard_3-2-1_55JDN_2023-02-22_final.stac-item
2023-02-22 10:03:47	ga_s2am_ard_3-2-1_55JCN_2023-02-22_final.stac-item
2023-02-22 10:03:50	ga_s2am_ard_3-2-1_55JBN_2023-02-22_final.stac-item
2023-02-22 10:04:02	ga_s2am_ard_3-2-1_55JCM_2023-02-22_final.stac-item
2023-02-22 10:04:11	ga_s2am_ard_3-2-1_55JDL_2023-02-22_final.stac-item
2023-02-22 10:04:19	ga_s2am_ard_3-2-1_55JBL_2023-02-22_final.stac-item
2023-02-22 10:04:23	ga_s2am_ard_3-2-1_54JYR_2023-02-22_final.stac-item
2023-02-22 10:04:30	ga_s2am_ard_3-2-1_54JXR_2023-02-22_final.stac-item
2023-02-22 10:04:30	ga_s2am_ard_3-2-1_55JCK_2023-02-22_final.stac-item
2023-02-22 10:04:41	ga_s2am_ard_3-2-1_54JXQ_2023-02-22_final.stac-item
2023-02-22 10:04:45	ga_s2am_ard_3-2-1_55JCJ_2023-02-22_final.stac-item
2023-02-22 10:04:55	ga_s2am_ard_3-2-1_54JXP_2023-02-22_final.stac-item
2023-02-22 10:05:06	ga_s2am_ard_3-2-1_54JYN_2023-02-22_final.stac-item
2023-02-22 10:05:14	ga_s2am_ard_3-2-1_55JCG_2023-02-22_final.stac-item
2023-02-22 10:05:24	ga_s2am_ard_3-2-1_54JXM_2023-02-22_final.stac-item
2023-02-22 10:05:31	ga_s2am_ard_3-2-1_54JWM_2023-02-22_final.stac-item
2023-02-22 10:05:36	ga_s2am_ard_3-2-1_55HCE_2023-02-22_final.stac-item
2023-02-22 10:05:38	ga_s2am_ard_3-2-1_54JXL_2023-02-22_final.stac-item
2023-02-22 10:05:42	ga_s2am_ard_3-2-1_54JWL_2023-02-22_final.stac-item
2023-02-22 10:05:53	ga_s2am_ard_3-2-1_54HXK_2023-02-22_final.stac-item
2023-02-22 10:05:56	ga_s2am_ard_3-2-1_54HWK_2023-02-22_final.stac-item
2023-02-22 10:06:16	ga_s2am_ard_3-2-1_55HBC_2023-02-22_final.stac-item
2023-02-22 10:06:18	ga_s2am_ard_3-2-1_54HYH_2023-02-22_final.stac-item
2023-02-22 10:06:43	ga_s2am_ard_3-2-1_55HBA_2023-02-22_final.stac-item
2023-02-22 10:06:47	ga_s2am_ard_3-2-1_54HYF_2023-02-22_final.stac-item
2023-02-22 10:06:51	ga_s2am_ard_3-2-1_54HXF_2023-02-22_final.stac-item
2023-02-22 10:06:53	ga_s2am_ard_3-2-1_55HBV_2023-02-22_final.stac-item
2023-02-22 10:06:55	ga_s2am_ard_3-2-1_54HWF_2023-02-22_final.stac-item
2023-02-22 10:06:58	ga_s2am_ard_3-2-1_54HVF_2023-02-22_final.stac-item
2023-02-22 10:07:05	ga_s2am_ard_3-2-1_54HXE_2023-02-22_final.stac-item
2023-02-22 10:07:09	ga_s2am_ard_3-2-1_54HWE_2023-02-22_final.stac-item
2023-02-22 10:07:13	ga_s2am_ard_3-2-1_54HVE_2023-02-22_final.stac-item
2023-02-22 10:07:49	ga_s2am_ard_3-2-1_54HVB_2023-02-22_nrt.stac-item
2023-02-22 11:40:51	ga_s2am_ard_3-2-1_51LXG_2023-02-22_nrt.stac-item
2023-02-22 11:40:55	ga_s2am_ard_3-2-1_51LWG_2023-02-22_final.stac-item
2023-02-22 11:40:58	ga_s2am_ard_3-2-1_51LVG_2023-02-22_final.stac-item
2023-02-22 11:41:01	ga_s2am_ard_3-2-1_51LUG_2023-02-22_nrt.stac-item
2023-02-22 11:41:09	ga_s2am_ard_3-2-1_51LWF_2023-02-22_nrt.stac-item
2023-02-22 11:41:12	ga_s2am_ard_3-2-1_51LVF_2023-02-22_final.stac-item
2023-02-22 11:41:30	ga_s2am_ard_3-2-1_51LUE_2023-02-22_final.stac-item
2023-02-22 11:41:35	ga_s2am_ard_3-2-1_51LTE_2023-02-22_nrt.stac-item
2023-02-22 11:42:17	ga_s2am_ard_3-2-1_51KTB_2023-02-22_nrt.stac-item
2023-02-22 11:42:18	ga_s2am_ard_3-2-1_50KRG_2023-02-22_nrt.stac-item
2023-02-22 11:42:25	ga_s2am_ard_3-2-1_51KVA_2023-02-22_final.stac-item
2023-02-22 11:42:58	ga_s2am_ard_3-2-1_51KUU_2023-02-22_final.stac-item
2023-02-22 11:43:12	ga_s2am_ard_3-2-1_51KUT_2023-02-22_final.stac-item
2023-02-22 11:43:22	ga_s2am_ard_3-2-1_51KVS_2023-02-22_final.stac-item
2023-02-22 11:44:14	ga_s2am_ard_3-2-1_51KTP_2023-02-22_final.stac-item
2023-02-22 11:44:17	ga_s2am_ard_3-2-1_50KQU_2023-02-22_final.stac-item
2023-02-22 11:44:25	ga_s2am_ard_3-2-1_51JUN_2023-02-22_final.stac-item
2023-02-22 11:44:28	ga_s2am_ard_3-2-1_51JTN_2023-02-22_final.stac-item
2023-02-22 11:44:35	ga_s2am_ard_3-2-1_50JPT_2023-02-22_final.stac-item
2023-02-22 11:44:38	ga_s2am_ard_3-2-1_51JUM_2023-02-22_final.stac-item
2023-02-22 11:44:50	ga_s2am_ard_3-2-1_50JPS_2023-02-22_final.stac-item
2023-02-22 11:44:57	ga_s2am_ard_3-2-1_51JTL_2023-02-22_final.stac-item
2023-02-22 11:45:01	ga_s2am_ard_3-2-1_50JQR_2023-02-22_final.stac-item
2023-02-22 11:45:03	ga_s2am_ard_3-2-1_50JPR_2023-02-22_final.stac-item
2023-02-22 11:45:06	ga_s2am_ard_3-2-1_50JNR_2023-02-22_final.stac-item
2023-02-22 11:45:19	ga_s2am_ard_3-2-1_50JPQ_2023-02-22_final.stac-item
2023-02-22 11:45:33	ga_s2am_ard_3-2-1_50JPP_2023-02-22_final.stac-item
2023-02-22 11:45:37	ga_s2am_ard_3-2-1_50JNP_2023-02-22_final.stac-item
2023-02-22 11:45:51	ga_s2am_ard_3-2-1_50JNN_2023-02-22_final.stac-item
2023-02-22 11:46:02	ga_s2am_ard_3-2-1_50JPM_2023-02-22_final.stac-item
2023-02-22 11:46:06	ga_s2am_ard_3-2-1_50JNM_2023-02-22_final.stac-item
2023-02-22 11:46:10	ga_s2am_ard_3-2-1_50JMM_2023-02-22_final.stac-item
2023-02-22 11:46:17	ga_s2am_ard_3-2-1_50JPL_2023-02-22_final.stac-item
2023-02-22 11:46:20	ga_s2am_ard_3-2-1_50JNL_2023-02-22_final.stac-item
2023-02-22 11:46:23	ga_s2am_ard_3-2-1_50JML_2023-02-22_final.stac-item
2023-02-22 11:46:27	ga_s2am_ard_3-2-1_50HQK_2023-02-22_final.stac-item
2023-02-22 11:46:31	ga_s2am_ard_3-2-1_50HPK_2023-02-22_final.stac-item
2023-02-22 11:46:35	ga_s2am_ard_3-2-1_50HNK_2023-02-22_final.stac-item
2023-02-22 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-02-22_final.stac-item
2023-02-22 11:47:29	ga_s2am_ard_3-2-1_50HNF_2023-02-22_nrt.stac-item
2023-02-22 11:47:31	ga_s2am_ard_3-2-1_50HMF_2023-02-22_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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