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
2022-11-07 10:12:44	ga_s2am_ard_3-2-1_54KYC_2022-11-07_final
2022-12-14 11:41:26	ga_s2am_ard_3-2-1_51LWE_2022-12-14_final
2023-01-09 10:22:37	ga_s2am_ard_3-2-1_54KXC_2023-01-09_final
2023-02-06 11:23:06	ga_s2am_ard_3-2-1_51KZT_2023-02-06_final
2023-02-15 11:55:39	ga_s2am_ard_3-2-1_50JLP_2023-02-15_final
2023-02-20 11:06:03	ga_s2am_ard_3-2-1_52JCL_2023-02-20_final
2023-03-11 11:34:35	ga_s2am_ard_3-2-1_51JWM_2023-03-11_final
2023-03-24 11:44:51	ga_s2am_ard_3-2-1_50JPS_2023-03-24_final
2023-04-04 09:38:30	ga_s2am_ard_3-2-1_55GEP_2023-04-04_final
2024-02-02 10:50:30	ga_s2am_ard_3-2-1_53LPG_2024-02-02_final
2024-02-02 10:51:14	ga_s2am_ard_3-2-1_53LPD_2024-02-02_final
2024-02-02 10:52:08	ga_s2am_ard_3-2-1_53KLA_2024-02-02_final
2024-02-02 10:53:02	ga_s2am_ard_3-2-1_53KMS_2024-02-02_final
2024-02-02 10:53:42	ga_s2am_ard_3-2-1_52KGV_2024-02-02_final
2024-02-02 10:54:04	ga_s2am_ard_3-2-1_53JLN_2024-02-02_final
2024-02-02 10:54:25	ga_s2am_ard_3-2-1_52JGS_2024-02-02_final
2024-02-02 10:54:58	ga_s2am_ard_3-2-1_52JFQ_2024-02-02_final
2024-02-02 10:55:11	ga_s2am_ard_3-2-1_53JLH_2024-02-02_final
2024-02-02 10:55:38	ga_s2am_ard_3-2-1_52JGM_2024-02-02_final
2024-02-03 10:19:40	ga_s2am_ard_3-2-1_54LXQ_2024-02-03_final
2024-02-03 10:19:51	ga_s2am_ard_3-2-1_54LYP_2024-02-03_final
2024-02-03 10:20:02	ga_s2am_ard_3-2-1_54LZN_2024-02-03_final
2024-02-03 10:21:07	ga_s2am_ard_3-2-1_54LXJ_2024-02-03_final
2024-02-03 10:22:26	ga_s2am_ard_3-2-1_54KVD_2024-02-03_final
2024-02-03 10:22:34	ga_s2am_ard_3-2-1_54KXC_2024-02-03_final
2024-02-03 10:23:42	ga_s2am_ard_3-2-1_54KUU_2024-02-03_final
2024-02-03 10:24:48	ga_s2am_ard_3-2-1_53JQK_2024-02-03_final
2024-02-03 10:25:30	ga_s2am_ard_3-2-1_53JQG_2024-02-03_final
2024-02-03 10:25:59	ga_s2am_ard_3-2-1_53HQE_2024-02-03_final
2024-02-03 10:26:26	ga_s2am_ard_3-2-1_54HTH_2024-02-03_final
2024-02-03 10:27:07	ga_s2am_ard_3-2-1_54HTE_2024-02-03_final
2024-02-03 12:03:19	ga_s2am_ard_3-2-1_50KMC_2024-02-03_final
2024-02-03 12:03:29	ga_s2am_ard_3-2-1_50KNB_2024-02-03_final
2024-02-03 12:03:33	ga_s2am_ard_3-2-1_50KMB_2024-02-03_final
2024-02-03 12:03:48	ga_s2am_ard_3-2-1_50KMA_2024-02-03_final
2024-02-03 12:04:09	ga_s2am_ard_3-2-1_50KKV_2024-02-03_final
2024-02-03 12:04:24	ga_s2am_ard_3-2-1_50KKU_2024-02-03_final
2024-02-03 12:04:27	ga_s2am_ard_3-2-1_49KGP_2024-02-03_final
2024-02-03 12:04:49	ga_s2am_ard_3-2-1_50JLS_2024-02-03_final
2024-02-03 12:05:11	ga_s2am_ard_3-2-1_49JGL_2024-02-03_final
2024-02-03 12:05:47	ga_s2am_ard_3-2-1_50JLN_2024-02-03_final
2024-02-03 12:05:51	ga_s2am_ard_3-2-1_50JKN_2024-02-03_final
2024-02-04 09:56:15	ga_s2am_ard_3-2-1_55HCC_2024-02-04_final
2024-02-04 09:56:33	ga_s2am_ard_3-2-1_55HBB_2024-02-04_final
2024-02-04 11:31:20	ga_s2am_ard_3-2-1_51LYE_2024-02-04_final
2024-02-04 11:32:39	ga_s2am_ard_3-2-1_51KWV_2024-02-04_final
2024-02-04 11:33:12	ga_s2am_ard_3-2-1_51KVT_2024-02-04_final
2024-02-04 11:33:18	ga_s2am_ard_3-2-1_51KUT_2024-02-04_final
2024-02-04 11:33:46	ga_s2am_ard_3-2-1_51KXQ_2024-02-04_final
2024-02-04 11:34:21	ga_s2am_ard_3-2-1_51JWN_2024-02-04_final
2024-02-04 11:34:28	ga_s2am_ard_3-2-1_51JUN_2024-02-04_final
2024-02-04 11:34:45	ga_s2am_ard_3-2-1_51JTM_2024-02-04_final
2024-02-04 11:34:54	ga_s2am_ard_3-2-1_51JVL_2024-02-04_final
2024-02-04 11:35:08	ga_s2am_ard_3-2-1_51JVK_2024-02-04_final
2024-02-04 11:35:37	ga_s2am_ard_3-2-1_51JVH_2024-02-04_final
2024-02-04 11:35:41	ga_s2am_ard_3-2-1_51JUH_2024-02-04_final
2024-02-04 11:36:13	ga_s2am_ard_3-2-1_51JTF_2024-02-04_final
2024-02-04 11:36:39	ga_s2am_ard_3-2-1_51HUD_2024-02-04_final
2024-02-04 11:37:11	ga_s2am_ard_3-2-1_51HTB_2024-02-04_final
2024-02-04 11:37:22	ga_s2am_ard_3-2-1_50HNG_2024-02-04_final
2024-02-05 09:27:45	ga_s2am_ard_3-2-1_55HFS_2024-02-04_final
2024-02-05 11:00:26	ga_s2am_ard_3-2-1_52LHN_2024-02-05_final
2024-02-05 11:00:32	ga_s2am_ard_3-2-1_53LMG_2024-02-05_final
2024-02-05 11:00:36	ga_s2am_ard_3-2-1_53LLG_2024-02-05_final
2024-02-05 11:00:58	ga_s2am_ard_3-2-1_52LGL_2024-02-05_final
2024-02-05 11:01:13	ga_s2am_ard_3-2-1_52LGK_2024-02-05_final
2024-02-05 11:01:19	ga_s2am_ard_3-2-1_53LLD_2024-02-05_final
2024-02-05 11:01:35	ga_s2am_ard_3-2-1_52LFJ_2024-02-05_final
2024-02-05 11:01:59	ga_s2am_ard_3-2-1_53KLA_2024-02-05_final
2024-02-05 11:02:11	ga_s2am_ard_3-2-1_52KGF_2024-02-05_final
2024-02-05 11:02:14	ga_s2am_ard_3-2-1_52KFF_2024-02-05_final
2024-02-05 11:02:22	ga_s2am_ard_3-2-1_52KHE_2024-02-05_final
2024-02-05 11:02:25	ga_s2am_ard_3-2-1_52KGE_2024-02-05_final
2024-02-05 11:02:50	ga_s2am_ard_3-2-1_53KKT_2024-02-05_final
2024-02-05 11:02:51	ga_s2am_ard_3-2-1_52KHC_2024-02-05_final
2024-02-05 11:03:12	ga_s2am_ard_3-2-1_52KFB_2024-02-05_final
2024-02-05 11:03:27	ga_s2am_ard_3-2-1_52KFA_2024-02-05_final
2024-02-05 11:03:37	ga_s2am_ard_3-2-1_52KGV_2024-02-05_final
2024-02-05 11:04:08	ga_s2am_ard_3-2-1_52KDU_2024-02-05_final
2024-02-05 11:04:20	ga_s2am_ard_3-2-1_52JGS_2024-02-05_final
2024-02-05 11:04:46	ga_s2am_ard_3-2-1_52JDR_2024-02-05_final
2024-02-05 11:04:54	ga_s2am_ard_3-2-1_52JFQ_2024-02-05_final
2024-02-05 11:05:22	ga_s2am_ard_3-2-1_52JFN_2024-02-05_final
2024-02-05 11:05:30	ga_s2am_ard_3-2-1_52JDN_2024-02-05_final
2024-02-05 11:05:44	ga_s2am_ard_3-2-1_52JDM_2024-02-05_final
2024-02-05 11:05:48	ga_s2am_ard_3-2-1_52JCM_2024-02-05_final
2024-02-05 11:05:59	ga_s2am_ard_3-2-1_52JDL_2024-02-05_final
2024-02-05 11:06:02	ga_s2am_ard_3-2-1_52JCL_2024-02-05_final
2024-02-05 11:06:13	ga_s2am_ard_3-2-1_52HDK_2024-02-05_final
2024-02-05 11:06:17	ga_s2am_ard_3-2-1_52HCK_2024-02-05_final
2024-02-05 11:06:20	ga_s2am_ard_3-2-1_52HBK_2024-02-05_final
2024-02-14 11:30:27	ga_s2am_ard_3-2-1_51LXJ_2024-02-14_nrt
2024-02-14 11:30:38	ga_s2am_ard_3-2-1_51LYH_2024-02-14_nrt
2024-02-14 11:30:42	ga_s2am_ard_3-2-1_51LXH_2024-02-14_nrt
2024-02-14 11:30:53	ga_s2am_ard_3-2-1_51LYG_2024-02-14_nrt
2024-02-14 11:30:56	ga_s2am_ard_3-2-1_51LXG_2024-02-14_nrt
2024-02-14 11:31:11	ga_s2am_ard_3-2-1_51LXF_2024-02-14_nrt
2024-02-15 11:06:26	ga_s2am_ard_3-2-1_52HEJ_2024-02-15_nrt
2024-02-15 11:06:28	ga_s2am_ard_3-2-1_52HDJ_2024-02-15_nrt
2024-02-15 11:06:30	ga_s2am_ard_3-2-1_52HCJ_2024-02-15_nrt

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