Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2024-01-18 11:44:11	ga_s2am_ard_3-2-1_50KQU_2024-01-18_final
2024-01-18 11:44:14	ga_s2am_ard_3-2-1_50KPU_2024-01-18_final
2024-01-18 11:44:19	ga_s2am_ard_3-2-1_51JUN_2024-01-18_final
2024-01-18 11:44:22	ga_s2am_ard_3-2-1_50JRT_2024-01-18_final
2024-01-18 11:44:22	ga_s2am_ard_3-2-1_51JTN_2024-01-18_final
2024-01-18 11:44:25	ga_s2am_ard_3-2-1_50JQT_2024-01-18_final
2024-01-18 11:44:29	ga_s2am_ard_3-2-1_50JPT_2024-01-18_final
2024-01-18 11:44:32	ga_s2am_ard_3-2-1_51JUM_2024-01-18_final
2024-01-18 11:44:36	ga_s2am_ard_3-2-1_50JRS_2024-01-18_final
2024-01-18 11:44:36	ga_s2am_ard_3-2-1_51JTM_2024-01-18_final
2024-01-18 11:44:40	ga_s2am_ard_3-2-1_50JQS_2024-01-18_final
2024-01-18 11:44:43	ga_s2am_ard_3-2-1_51JUL_2024-01-18_final
2024-01-18 11:44:51	ga_s2am_ard_3-2-1_50JQR_2024-01-18_final
2024-01-18 11:44:55	ga_s2am_ard_3-2-1_50JNR_2024-01-18_final
2024-01-18 11:44:59	ga_s2am_ard_3-2-1_50JPR_2024-01-18_final
2024-01-18 11:45:03	ga_s2am_ard_3-2-1_50JNR_2024-01-18_final
2024-01-18 11:45:05	ga_s2am_ard_3-2-1_51JTK_2024-01-18_final
2024-01-18 11:45:09	ga_s2am_ard_3-2-1_50JQQ_2024-01-18_final
2024-01-18 11:45:16	ga_s2am_ard_3-2-1_50JNQ_2024-01-18_final
2024-01-18 11:45:20	ga_s2am_ard_3-2-1_51JTJ_2024-01-18_final
2024-01-18 11:45:23	ga_s2am_ard_3-2-1_50JQP_2024-01-18_final
2024-01-18 11:45:30	ga_s2am_ard_3-2-1_50JNP_2024-01-18_final
2024-01-18 11:45:35	ga_s2am_ard_3-2-1_51JTH_2024-01-18_final
2024-01-18 11:45:38	ga_s2am_ard_3-2-1_50JQN_2024-01-18_final
2024-01-18 11:45:45	ga_s2am_ard_3-2-1_50JNN_2024-01-18_final
2024-01-18 11:45:48	ga_s2am_ard_3-2-1_51JTG_2024-01-18_final
2024-01-18 11:45:52	ga_s2am_ard_3-2-1_50JQM_2024-01-18_final
2024-01-18 11:45:59	ga_s2am_ard_3-2-1_51JTF_2024-01-18_final
2024-01-18 11:45:59	ga_s2am_ard_3-2-1_50JNM_2024-01-18_final
2024-01-18 11:46:04	ga_s2am_ard_3-2-1_50JMM_2024-01-18_final
2024-01-18 11:46:06	ga_s2am_ard_3-2-1_50JQL_2024-01-18_final
2024-01-18 11:46:10	ga_s2am_ard_3-2-1_50JPL_2024-01-18_final
2024-01-18 11:46:14	ga_s2am_ard_3-2-1_50JNL_2024-01-18_final
2024-01-18 11:46:17	ga_s2am_ard_3-2-1_50JML_2024-01-18_final
2024-01-18 11:46:21	ga_s2am_ard_3-2-1_50HQK_2024-01-18_final
2024-01-18 11:46:25	ga_s2am_ard_3-2-1_50HPK_2024-01-18_final
2024-01-18 11:46:28	ga_s2am_ard_3-2-1_50HNK_2024-01-18_final
2024-01-18 11:46:32	ga_s2am_ard_3-2-1_50HMK_2024-01-18_final
2024-01-18 11:46:34	ga_s2am_ard_3-2-1_50HQJ_2024-01-18_final
2024-01-18 11:46:39	ga_s2am_ard_3-2-1_50HPJ_2024-01-18_final
2024-01-18 11:46:43	ga_s2am_ard_3-2-1_50HNJ_2024-01-18_final
2024-01-18 11:46:45	ga_s2am_ard_3-2-1_50HQH_2024-01-18_final
2024-01-18 11:46:46	ga_s2am_ard_3-2-1_50HMJ_2024-01-18_final
2024-01-18 11:46:53	ga_s2am_ard_3-2-1_50HPH_2024-01-18_final
2024-01-18 11:46:57	ga_s2am_ard_3-2-1_50HNH_2024-01-18_final
2024-01-18 11:47:01	ga_s2am_ard_3-2-1_50HMH_2024-01-18_final
2024-01-18 11:47:05	ga_s2am_ard_3-2-1_50HLH_2024-01-18_final
2024-01-18 11:47:08	ga_s2am_ard_3-2-1_50HPG_2024-01-18_final
2024-01-18 11:47:12	ga_s2am_ard_3-2-1_50HNG_2024-01-18_final
2024-01-18 11:47:15	ga_s2am_ard_3-2-1_50HMG_2024-01-18_final
2024-01-18 11:47:19	ga_s2am_ard_3-2-1_50HLG_2024-01-18_final
2024-01-18 11:47:21	ga_s2am_ard_3-2-1_50HPF_2024-01-18_nrt
2024-01-19 11:14:14	ga_s2am_ard_3-2-1_51JZN_2024-01-19_final
2024-01-19 11:14:14	ga_s2am_ard_3-2-1_52JBT_2024-01-19_final
2024-01-19 11:14:20	ga_s2am_ard_3-2-1_51JYN_2024-01-19_final
2024-01-19 11:14:22	ga_s2am_ard_3-2-1_52JDS_2024-01-19_final
2024-01-19 11:14:26	ga_s2am_ard_3-2-1_52JCS_2024-01-19_final
2024-01-19 11:14:29	ga_s2am_ard_3-2-1_51JZM_2024-01-19_final
2024-01-19 11:14:29	ga_s2am_ard_3-2-1_52JBS_2024-01-19_final
2024-01-19 11:14:32	ga_s2am_ard_3-2-1_51JYM_2024-01-19_final
2024-01-19 11:14:37	ga_s2am_ard_3-2-1_52JDR_2024-01-19_final
2024-01-19 11:14:40	ga_s2am_ard_3-2-1_52JCR_2024-01-19_final
2024-01-19 11:14:44	ga_s2am_ard_3-2-1_52JBR_2024-01-19_final
2024-01-19 11:14:47	ga_s2am_ard_3-2-1_51JYL_2024-01-19_final
2024-01-19 11:14:51	ga_s2am_ard_3-2-1_52JDQ_2024-01-19_final
2024-01-19 11:14:55	ga_s2am_ard_3-2-1_52JCQ_2024-01-19_final
2024-01-19 11:14:58	ga_s2am_ard_3-2-1_52JBQ_2024-01-19_final
2024-01-19 11:15:01	ga_s2am_ard_3-2-1_51JYK_2024-01-19_final
2024-01-19 11:15:03	ga_s2am_ard_3-2-1_52JDP_2024-01-19_final
2024-01-19 11:15:09	ga_s2am_ard_3-2-1_52JCP_2024-01-19_final
2024-01-19 11:15:13	ga_s2am_ard_3-2-1_52JBP_2024-01-19_final
2024-01-19 11:15:13	ga_s2am_ard_3-2-1_52JDN_2024-01-19_final
2024-01-19 11:15:16	ga_s2am_ard_3-2-1_51JYJ_2024-01-19_final
2024-01-19 11:15:21	ga_s2am_ard_3-2-1_51JXJ_2024-01-19_final
2024-01-19 11:15:24	ga_s2am_ard_3-2-1_52JCN_2024-01-19_final
2024-01-19 11:15:27	ga_s2am_ard_3-2-1_52JBN_2024-01-19_final
2024-01-19 11:15:30	ga_s2am_ard_3-2-1_51JYH_2024-01-19_final
2024-01-19 11:15:33	ga_s2am_ard_3-2-1_51JXH_2024-01-19_final
2024-01-19 11:15:38	ga_s2am_ard_3-2-1_52JCM_2024-01-19_final
2024-01-19 11:15:42	ga_s2am_ard_3-2-1_52JBM_2024-01-19_final
2024-01-19 11:15:45	ga_s2am_ard_3-2-1_51JYG_2024-01-19_final
2024-01-19 11:15:48	ga_s2am_ard_3-2-1_51JXG_2024-01-19_final
2024-01-19 11:15:53	ga_s2am_ard_3-2-1_52JCL_2024-01-19_final
2024-01-19 11:15:56	ga_s2am_ard_3-2-1_52JBL_2024-01-19_final
2024-01-19 11:15:59	ga_s2am_ard_3-2-1_51JYF_2024-01-19_final
2024-01-19 11:16:03	ga_s2am_ard_3-2-1_51JXF_2024-01-19_final
2024-01-19 11:16:07	ga_s2am_ard_3-2-1_52HCK_2024-01-19_final
2024-01-19 11:16:11	ga_s2am_ard_3-2-1_52HBK_2024-01-19_final
2024-01-19 11:16:13	ga_s2am_ard_3-2-1_51HYE_2024-01-19_final
2024-01-19 11:16:17	ga_s2am_ard_3-2-1_51HXE_2024-01-19_final
2024-01-19 11:16:19	ga_s2am_ard_3-2-1_52HCJ_2024-01-19_nrt
2024-01-19 11:16:21	ga_s2am_ard_3-2-1_51HWE_2024-01-19_final
2024-01-19 11:16:25	ga_s2am_ard_3-2-1_52HBJ_2024-01-19_final
2024-01-19 11:16:28	ga_s2am_ard_3-2-1_51HYD_2024-01-19_final
2024-01-19 11:16:31	ga_s2am_ard_3-2-1_51HXD_2024-01-19_final
2024-01-19 11:16:35	ga_s2am_ard_3-2-1_51HWD_2024-01-19_final
2024-01-19 11:16:40	ga_s2am_ard_3-2-1_52HBH_2024-01-19_nrt
2024-01-19 11:16:42	ga_s2am_ard_3-2-1_51HYC_2024-01-19_nrt
2024-01-19 11:16:46	ga_s2am_ard_3-2-1_51HXC_2024-01-19_final
2024-01-19 11:16:50	ga_s2am_ard_3-2-1_51HWC_2024-01-19_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years