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
2023-06-21 12:15:14	ga_s2am_ard_3-2-1_49JGL_2023-06-21_final.stac-item
2023-06-21 12:15:18	ga_s2am_ard_3-2-1_49JFL_2023-06-21_nrt.stac-item
2023-06-21 12:15:23	ga_s2am_ard_3-2-1_49JGK_2023-06-21_final.stac-item
2023-06-21 12:15:24	ga_s2am_ard_3-2-1_49JFK_2023-06-21_nrt.stac-item
2023-06-22 08:24:29	ga_s2am_ard_3-2-1_59JKH_2023-06-21_final.stac-item
2023-06-22 08:24:30	ga_s2am_ard_3-2-1_58JGN_2023-06-21_final.stac-item
2023-06-22 10:00:05	ga_s2am_ard_3-2-1_55LFH_2023-06-22_nrt.stac-item
2023-06-22 10:00:09	ga_s2am_ard_3-2-1_55LEH_2023-06-22_nrt.stac-item
2023-06-22 10:00:13	ga_s2am_ard_3-2-1_55LDH_2023-06-22_nrt.stac-item
2023-06-22 10:00:31	ga_s2am_ard_3-2-1_55LGF_2023-06-22_nrt.stac-item
2023-06-22 10:00:34	ga_s2am_ard_3-2-1_55LFF_2023-06-22_nrt.stac-item
2023-06-22 10:02:43	ga_s2am_ard_3-2-1_55KBT_2023-06-22_final.stac-item
2023-06-22 10:02:48	ga_s2am_ard_3-2-1_55KES_2023-06-22_final.stac-item
2023-06-22 10:02:52	ga_s2am_ard_3-2-1_55KDS_2023-06-22_final.stac-item
2023-06-22 10:02:55	ga_s2am_ard_3-2-1_55KCS_2023-06-22_final.stac-item
2023-06-22 10:03:10	ga_s2am_ard_3-2-1_55KCR_2023-06-22_final.stac-item
2023-06-22 10:03:13	ga_s2am_ard_3-2-1_55KBR_2023-06-22_final.stac-item
2023-06-22 10:03:20	ga_s2am_ard_3-2-1_55KDQ_2023-06-22_final.stac-item
2023-06-22 10:04:17	ga_s2am_ard_3-2-1_55JDL_2023-06-22_final.stac-item
2023-06-22 10:04:22	ga_s2am_ard_3-2-1_55JCL_2023-06-22_final.stac-item
2023-06-22 10:04:26	ga_s2am_ard_3-2-1_55JBL_2023-06-22_final.stac-item
2023-06-22 10:04:27	ga_s2am_ard_3-2-1_55JDK_2023-06-22_final.stac-item
2023-06-22 10:04:36	ga_s2am_ard_3-2-1_54JXR_2023-06-22_final.stac-item
2023-06-22 10:04:40	ga_s2am_ard_3-2-1_55JBK_2023-06-22_final.stac-item
2023-06-22 10:04:43	ga_s2am_ard_3-2-1_54JYQ_2023-06-22_final.stac-item
2023-06-22 10:04:47	ga_s2am_ard_3-2-1_54JXQ_2023-06-22_final.stac-item
2023-06-22 10:04:51	ga_s2am_ard_3-2-1_55JCJ_2023-06-22_final.stac-item
2023-06-22 10:04:55	ga_s2am_ard_3-2-1_55JBJ_2023-06-22_final.stac-item
2023-06-22 10:04:58	ga_s2am_ard_3-2-1_54JYP_2023-06-22_final.stac-item
2023-06-22 10:05:01	ga_s2am_ard_3-2-1_54JXP_2023-06-22_final.stac-item
2023-06-22 10:05:06	ga_s2am_ard_3-2-1_55JCH_2023-06-22_final.stac-item
2023-06-22 10:05:12	ga_s2am_ard_3-2-1_54JYN_2023-06-22_final.stac-item
2023-06-22 10:05:16	ga_s2am_ard_3-2-1_54JXN_2023-06-22_final.stac-item
2023-06-22 10:05:20	ga_s2am_ard_3-2-1_55JCG_2023-06-22_final.stac-item
2023-06-22 10:05:23	ga_s2am_ard_3-2-1_55JBG_2023-06-22_final.stac-item
2023-06-22 10:05:24	ga_s2am_ard_3-2-1_54JYM_2023-06-22_final.stac-item
2023-06-22 10:05:26	ga_s2am_ard_3-2-1_54JXM_2023-06-22_final.stac-item
2023-06-22 10:05:28	ga_s2am_ard_3-2-1_55JCF_2023-06-22_final.stac-item
2023-06-22 10:05:29	ga_s2am_ard_3-2-1_55JBF_2023-06-22_final.stac-item
2023-06-22 10:05:31	ga_s2am_ard_3-2-1_54JYM_2023-06-22_final.stac-item
2023-06-22 10:05:32	ga_s2am_ard_3-2-1_55JCF_2023-06-22_final.stac-item
2023-06-22 10:05:33	ga_s2am_ard_3-2-1_54JXM_2023-06-22_final.stac-item
2023-06-22 10:05:37	ga_s2am_ard_3-2-1_54JWM_2023-06-22_final.stac-item
2023-06-22 10:05:45	ga_s2am_ard_3-2-1_54JXL_2023-06-22_final.stac-item
2023-06-22 10:05:53	ga_s2am_ard_3-2-1_55HBE_2023-06-22_final.stac-item
2023-06-22 10:06:03	ga_s2am_ard_3-2-1_54HWK_2023-06-22_final.stac-item
2023-06-22 10:06:49	ga_s2am_ard_3-2-1_55HBA_2023-06-22_final.stac-item
2023-06-22 10:06:53	ga_s2am_ard_3-2-1_54HYF_2023-06-22_final.stac-item
2023-06-22 10:06:57	ga_s2am_ard_3-2-1_54HXF_2023-06-22_final.stac-item
2023-06-22 10:06:59	ga_s2am_ard_3-2-1_55HBV_2023-06-22_final.stac-item
2023-06-22 10:07:01	ga_s2am_ard_3-2-1_54HWF_2023-06-22_final.stac-item
2023-06-22 10:07:04	ga_s2am_ard_3-2-1_54HVF_2023-06-22_final.stac-item
2023-06-22 10:07:07	ga_s2am_ard_3-2-1_54HYE_2023-06-22_final.stac-item
2023-06-22 10:07:11	ga_s2am_ard_3-2-1_54HXE_2023-06-22_final.stac-item
2023-06-22 10:07:15	ga_s2am_ard_3-2-1_54HWE_2023-06-22_final.stac-item
2023-06-22 10:07:19	ga_s2am_ard_3-2-1_54HVE_2023-06-22_final.stac-item
2023-06-22 10:07:52	ga_s2am_ard_3-2-1_54HWB_2023-06-22_nrt.stac-item
2023-06-22 10:07:53	ga_s2am_ard_3-2-1_54HVB_2023-06-22_nrt.stac-item
2023-06-22 11:40:43	ga_s2am_ard_3-2-1_51LXH_2023-06-22_nrt.stac-item
2023-06-22 11:40:46	ga_s2am_ard_3-2-1_51LWH_2023-06-22_nrt.stac-item
2023-06-22 11:40:50	ga_s2am_ard_3-2-1_51LVH_2023-06-22_nrt.stac-item
2023-06-22 11:40:52	ga_s2am_ard_3-2-1_51LUH_2023-06-22_nrt.stac-item
2023-06-22 11:41:10	ga_s2am_ard_3-2-1_51LXF_2023-06-22_nrt.stac-item
2023-06-22 11:41:22	ga_s2am_ard_3-2-1_51LUF_2023-06-22_final.stac-item
2023-06-22 11:42:08	ga_s2am_ard_3-2-1_51LTC_2023-06-22_nrt.stac-item
2023-06-22 11:42:11	ga_s2am_ard_3-2-1_50LRH_2023-06-22_nrt.stac-item
2023-06-22 11:43:22	ga_s2am_ard_3-2-1_51KTT_2023-06-22_final.stac-item
2023-06-22 11:43:25	ga_s2am_ard_3-2-1_50KQC_2023-06-22_final.stac-item
2023-06-22 11:43:33	ga_s2am_ard_3-2-1_51KUS_2023-06-22_final.stac-item
2023-06-22 11:43:39	ga_s2am_ard_3-2-1_51KVR_2023-06-22_final.stac-item
2023-06-22 11:43:47	ga_s2am_ard_3-2-1_51KUR_2023-06-22_final.stac-item
2023-06-22 11:43:51	ga_s2am_ard_3-2-1_51KTR_2023-06-22_final.stac-item
2023-06-22 11:43:55	ga_s2am_ard_3-2-1_50KQA_2023-06-22_final.stac-item
2023-06-22 11:44:55	ga_s2am_ard_3-2-1_51JUL_2023-06-22_final.stac-item
2023-06-22 11:45:03	ga_s2am_ard_3-2-1_51JTL_2023-06-22_final.stac-item
2023-06-22 11:45:07	ga_s2am_ard_3-2-1_50JQR_2023-06-22_final.stac-item
2023-06-22 11:45:10	ga_s2am_ard_3-2-1_50JPR_2023-06-22_final.stac-item
2023-06-22 11:45:15	ga_s2am_ard_3-2-1_50JNR_2023-06-22_final.stac-item
2023-06-22 11:45:18	ga_s2am_ard_3-2-1_51JTK_2023-06-22_final.stac-item
2023-06-22 11:45:21	ga_s2am_ard_3-2-1_50JQQ_2023-06-22_final.stac-item
2023-06-22 11:45:25	ga_s2am_ard_3-2-1_50JPQ_2023-06-22_final.stac-item
2023-06-22 11:45:28	ga_s2am_ard_3-2-1_50JNQ_2023-06-22_final.stac-item
2023-06-22 11:45:33	ga_s2am_ard_3-2-1_51JTJ_2023-06-22_final.stac-item
2023-06-22 11:45:36	ga_s2am_ard_3-2-1_50JQP_2023-06-22_final.stac-item
2023-06-22 11:45:39	ga_s2am_ard_3-2-1_50JPP_2023-06-22_final.stac-item
2023-06-22 11:45:43	ga_s2am_ard_3-2-1_50JNP_2023-06-22_final.stac-item
2023-06-22 11:45:50	ga_s2am_ard_3-2-1_50JQN_2023-06-22_final.stac-item
2023-06-22 11:45:54	ga_s2am_ard_3-2-1_50JPN_2023-06-22_final.stac-item
2023-06-22 11:46:00	ga_s2am_ard_3-2-1_51JTG_2023-06-22_final.stac-item
2023-06-22 11:46:04	ga_s2am_ard_3-2-1_50JQM_2023-06-22_final.stac-item
2023-06-22 11:46:12	ga_s2am_ard_3-2-1_50JNM_2023-06-22_final.stac-item
2023-06-22 11:46:16	ga_s2am_ard_3-2-1_50JMM_2023-06-22_final.stac-item
2023-06-22 11:46:23	ga_s2am_ard_3-2-1_50JPL_2023-06-22_final.stac-item
2023-06-22 11:46:26	ga_s2am_ard_3-2-1_50JNL_2023-06-22_final.stac-item
2023-06-22 11:46:30	ga_s2am_ard_3-2-1_50JML_2023-06-22_final.stac-item
2023-06-22 11:46:33	ga_s2am_ard_3-2-1_50HQK_2023-06-22_final.stac-item
2023-06-22 11:46:41	ga_s2am_ard_3-2-1_50HNK_2023-06-22_final.stac-item
2023-06-22 11:46:44	ga_s2am_ard_3-2-1_50HMK_2023-06-22_final.stac-item
2023-06-22 11:47:32	ga_s2am_ard_3-2-1_50HPF_2023-06-22_nrt.stac-item
2023-06-22 11:47:33	ga_s2am_ard_3-2-1_50HNF_2023-06-22_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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