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
2021-02-21 12:15:10	ga_s2am_ard_3-2-1_49JGL_2021-02-21_final
2021-02-21 12:15:19	ga_s2am_ard_3-2-1_49JGK_2021-02-21_final
2021-02-22 10:01:17	ga_s2am_ard_3-2-1_55LEC_2021-02-22_final
2021-02-22 10:01:49	ga_s2am_ard_3-2-1_55KDA_2021-02-22_final
2021-02-22 10:02:25	ga_s2am_ard_3-2-1_55KBU_2021-02-22_final
2021-02-22 10:02:41	ga_s2am_ard_3-2-1_54KZC_2021-02-22_final
2021-02-22 10:02:51	ga_s2am_ard_3-2-1_55KCS_2021-02-22_final
2021-02-22 10:02:54	ga_s2am_ard_3-2-1_54KZB_2021-02-22_final
2021-02-22 10:03:09	ga_s2am_ard_3-2-1_54KZA_2021-02-22_final
2021-02-22 10:03:16	ga_s2am_ard_3-2-1_55KDQ_2021-02-22_final
2021-02-22 10:03:49	ga_s2am_ard_3-2-1_55JCN_2021-02-22_final
2021-02-22 10:04:07	ga_s2am_ard_3-2-1_54JZS_2021-02-22_final
2021-02-22 10:04:21	ga_s2am_ard_3-2-1_55JBL_2021-02-22_final
2021-02-22 10:04:25	ga_s2am_ard_3-2-1_54JYR_2021-02-22_final
2021-02-22 10:04:33	ga_s2am_ard_3-2-1_55JCK_2021-02-22_final
2021-02-22 10:04:36	ga_s2am_ard_3-2-1_55JBK_2021-02-22_final
2021-02-22 10:04:39	ga_s2am_ard_3-2-1_54JYQ_2021-02-22_final
2021-02-22 10:04:43	ga_s2am_ard_3-2-1_54JXQ_2021-02-22_final
2021-02-22 10:04:47	ga_s2am_ard_3-2-1_55JCJ_2021-02-22_final
2021-02-22 10:04:51	ga_s2am_ard_3-2-1_55JBJ_2021-02-22_final
2021-02-22 10:04:54	ga_s2am_ard_3-2-1_54JYP_2021-02-22_final
2021-02-22 10:04:57	ga_s2am_ard_3-2-1_54JXP_2021-02-22_final
2021-02-22 10:05:02	ga_s2am_ard_3-2-1_55JCH_2021-02-22_final
2021-02-22 10:05:12	ga_s2am_ard_3-2-1_54JXN_2021-02-22_final
2021-02-22 10:05:16	ga_s2am_ard_3-2-1_55JCG_2021-02-22_final
2021-02-22 10:05:26	ga_s2am_ard_3-2-1_54JXM_2021-02-22_final
2021-02-22 10:05:28	ga_s2am_ard_3-2-1_55JCF_2021-02-22_final
2021-02-22 10:05:37	ga_s2am_ard_3-2-1_54JYL_2021-02-22_final
2021-02-22 10:05:41	ga_s2am_ard_3-2-1_54JXL_2021-02-22_final
2021-02-22 10:05:49	ga_s2am_ard_3-2-1_55HBE_2021-02-22_final
2021-02-22 10:05:51	ga_s2am_ard_3-2-1_54HYK_2021-02-22_final
2021-02-22 10:06:03	ga_s2am_ard_3-2-1_55HBD_2021-02-22_final
2021-02-22 10:06:06	ga_s2am_ard_3-2-1_54HYJ_2021-02-22_final
2021-02-22 10:06:13	ga_s2am_ard_3-2-1_54HWJ_2021-02-22_final
2021-02-22 10:06:18	ga_s2am_ard_3-2-1_55HBC_2021-02-22_final
2021-02-22 10:06:20	ga_s2am_ard_3-2-1_54HYH_2021-02-22_final
2021-02-22 10:06:24	ga_s2am_ard_3-2-1_54HXH_2021-02-22_final
2021-02-22 10:06:28	ga_s2am_ard_3-2-1_54HWH_2021-02-22_final
2021-02-22 10:06:33	ga_s2am_ard_3-2-1_54HVH_2021-02-22_final
2021-02-22 10:06:42	ga_s2am_ard_3-2-1_54HWG_2021-02-22_final
2021-02-22 10:06:45	ga_s2am_ard_3-2-1_55HBA_2021-02-22_final
2021-02-22 10:06:46	ga_s2am_ard_3-2-1_54HVG_2021-02-22_final
2021-02-22 10:06:49	ga_s2am_ard_3-2-1_54HYF_2021-02-22_final
2021-02-22 10:06:53	ga_s2am_ard_3-2-1_54HXF_2021-02-22_final
2021-02-22 10:06:57	ga_s2am_ard_3-2-1_54HWF_2021-02-22_final
2021-02-22 10:07:00	ga_s2am_ard_3-2-1_54HVF_2021-02-22_final
2021-02-22 10:07:14	ga_s2am_ard_3-2-1_54HYD_2021-02-22_final
2021-02-22 10:07:21	ga_s2am_ard_3-2-1_54HXD_2021-02-22_final
2021-02-22 10:07:26	ga_s2am_ard_3-2-1_54HWD_2021-02-22_final
2021-02-22 10:07:29	ga_s2am_ard_3-2-1_54HVD_2021-02-22_final
2021-02-22 10:07:34	ga_s2am_ard_3-2-1_54HUD_2021-02-22_final.stac-item
2021-02-22 10:07:36	ga_s2am_ard_3-2-1_54HXC_2021-02-22_final
2021-02-22 10:07:40	ga_s2am_ard_3-2-1_54HWC_2021-02-22_final
2021-02-22 10:07:43	ga_s2am_ard_3-2-1_54HVC_2021-02-22_final.stac-item
2021-02-22 11:40:57	ga_s2am_ard_3-2-1_51LWG_2021-02-22_final.stac-item
2021-02-22 11:41:00	ga_s2am_ard_3-2-1_51LVG_2021-02-22_final
2021-02-22 11:41:18	ga_s2am_ard_3-2-1_51LUF_2021-02-22_final
2021-02-22 11:41:25	ga_s2am_ard_3-2-1_51LWE_2021-02-22_final
2021-02-22 11:41:29	ga_s2am_ard_3-2-1_51LVE_2021-02-22_final
2021-02-22 11:41:32	ga_s2am_ard_3-2-1_51LUE_2021-02-22_final
2021-02-22 11:41:55	ga_s2am_ard_3-2-1_51LWC_2021-02-22_final
2021-02-22 11:41:58	ga_s2am_ard_3-2-1_51LVC_2021-02-22_final
2021-02-22 11:42:27	ga_s2am_ard_3-2-1_51KVA_2021-02-22_final
2021-02-22 11:43:03	ga_s2am_ard_3-2-1_51KTU_2021-02-22_final
2021-02-22 11:43:04	ga_s2am_ard_3-2-1_50KRD_2021-02-22_final
2021-02-22 11:43:08	ga_s2am_ard_3-2-1_50KQD_2021-02-22_final.stac-item
2021-02-22 11:43:18	ga_s2am_ard_3-2-1_50KRC_2021-02-22_final
2021-02-22 11:43:29	ga_s2am_ard_3-2-1_51KUS_2021-02-22_final
2021-02-22 11:43:32	ga_s2am_ard_3-2-1_50KRB_2021-02-22_final
2021-02-22 11:43:47	ga_s2am_ard_3-2-1_50KRA_2021-02-22_final
2021-02-22 11:44:27	ga_s2am_ard_3-2-1_51JUN_2021-02-22_final
2021-02-22 11:44:37	ga_s2am_ard_3-2-1_50JPT_2021-02-22_final
2021-02-22 11:44:44	ga_s2am_ard_3-2-1_50JRS_2021-02-22_final
2021-02-22 11:44:59	ga_s2am_ard_3-2-1_51JTL_2021-02-22_final
2021-02-22 11:45:03	ga_s2am_ard_3-2-1_50JQR_2021-02-22_final
2021-02-22 11:45:14	ga_s2am_ard_3-2-1_51JTK_2021-02-22_final
2021-02-22 11:45:17	ga_s2am_ard_3-2-1_50JQQ_2021-02-22_final
2021-02-22 11:45:21	ga_s2am_ard_3-2-1_50JPQ_2021-02-22_final
2021-02-22 11:45:24	ga_s2am_ard_3-2-1_50JNQ_2021-02-22_final
2021-02-22 11:45:29	ga_s2am_ard_3-2-1_51JTJ_2021-02-22_final
2021-02-22 11:45:32	ga_s2am_ard_3-2-1_50JQP_2021-02-22_final
2021-02-22 11:45:35	ga_s2am_ard_3-2-1_50JPP_2021-02-22_final
2021-02-22 11:45:50	ga_s2am_ard_3-2-1_50JPN_2021-02-22_final
2021-02-22 11:45:53	ga_s2am_ard_3-2-1_50JNN_2021-02-22_final
2021-02-22 11:46:04	ga_s2am_ard_3-2-1_50JPM_2021-02-22_final
2021-02-22 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-02-22_final
2021-02-22 11:46:29	ga_s2am_ard_3-2-1_50HQK_2021-02-22_final
2021-02-22 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-02-22_final
2021-02-22 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-02-22_final
2021-02-22 11:46:42	ga_s2am_ard_3-2-1_50HQJ_2021-02-22_final
2021-02-22 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2021-02-22_final
2021-02-22 11:46:53	ga_s2am_ard_3-2-1_50HQH_2021-02-22_final
2021-02-22 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-22_final
2021-02-22 11:47:02	ga_s2am_ard_3-2-1_50HPH_2021-02-22_final
2021-02-22 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-02-22_final
2021-02-22 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-02-22_final
2021-02-22 11:47:14	ga_s2am_ard_3-2-1_50HLH_2021-02-22_final
2021-02-22 11:47:16	ga_s2am_ard_3-2-1_50HPG_2021-02-22_final.stac-item
2021-02-22 11:47:20	ga_s2am_ard_3-2-1_50HNG_2021-02-22_final.stac-item
2021-02-22 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-02-22_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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