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
2021-06-05 11:57:07	ga_s2am_ard_3-2-1_50HMH_2021-06-05_final.stac-item
2021-06-05 11:57:10	ga_s2am_ard_3-2-1_50HLH_2021-06-05_final.stac-item
2021-06-05 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-06-05_final
2021-06-05 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-06-05_final
2021-06-06 09:41:42	ga_s2am_ard_3-2-1_56KLF_2021-06-06_final.stac-item
2021-06-06 09:41:45	ga_s2am_ard_3-2-1_56KKF_2021-06-06_final.stac-item
2021-06-06 09:41:57	ga_s2am_ard_3-2-1_56KLE_2021-06-06_final.stac-item
2021-06-06 09:42:11	ga_s2am_ard_3-2-1_56KLD_2021-06-06_final.stac-item
2021-06-06 09:42:40	ga_s2am_ard_3-2-1_56KLB_2021-06-06_final.stac-item
2021-06-06 09:42:44	ga_s2am_ard_3-2-1_56KKB_2021-06-06_final.stac-item
2021-06-06 09:42:50	ga_s2am_ard_3-2-1_56KMA_2021-06-06_final.stac-item
2021-06-06 09:42:55	ga_s2am_ard_3-2-1_56KLA_2021-06-06_final.stac-item
2021-06-06 09:42:58	ga_s2am_ard_3-2-1_56KKA_2021-06-06_final.stac-item
2021-06-06 09:43:09	ga_s2am_ard_3-2-1_56KLV_2021-06-06_final.stac-item
2021-06-06 09:43:13	ga_s2am_ard_3-2-1_56KKV_2021-06-06_final.stac-item
2021-06-06 09:43:24	ga_s2am_ard_3-2-1_56KLU_2021-06-06_final.stac-item
2021-06-06 09:43:27	ga_s2am_ard_3-2-1_56KKU_2021-06-06_final.stac-item
2021-06-06 09:43:39	ga_s2am_ard_3-2-1_56JLT_2021-06-06_final.stac-item
2021-06-06 09:43:42	ga_s2am_ard_3-2-1_56JKT_2021-06-06_final.stac-item
2021-06-06 09:43:49	ga_s2am_ard_3-2-1_55JFN_2021-06-06_final.stac-item
2021-06-06 09:43:53	ga_s2am_ard_3-2-1_56JLS_2021-06-06_final.stac-item
2021-06-06 09:43:56	ga_s2am_ard_3-2-1_56JKS_2021-06-06_final.stac-item
2021-06-06 09:44:00	ga_s2am_ard_3-2-1_55JGM_2021-06-06_final.stac-item
2021-06-06 09:44:03	ga_s2am_ard_3-2-1_55JFM_2021-06-06_final.stac-item
2021-06-06 09:44:06	ga_s2am_ard_3-2-1_56JLR_2021-06-06_final.stac-item
2021-06-06 09:44:11	ga_s2am_ard_3-2-1_56JKR_2021-06-06_final.stac-item
2021-06-06 09:44:14	ga_s2am_ard_3-2-1_55JGL_2021-06-06_final.stac-item
2021-06-06 09:44:17	ga_s2am_ard_3-2-1_56JLQ_2021-06-06_final.stac-item
2021-06-06 09:44:18	ga_s2am_ard_3-2-1_55JFL_2021-06-06_final.stac-item
2021-06-06 09:44:25	ga_s2am_ard_3-2-1_56JKQ_2021-06-06_final.stac-item
2021-06-06 09:44:26	ga_s2am_ard_3-2-1_55JEL_2021-06-06_final.stac-item
2021-06-06 09:44:29	ga_s2am_ard_3-2-1_55JGK_2021-06-06_final.stac-item
2021-06-06 09:44:32	ga_s2am_ard_3-2-1_55JFK_2021-06-06_final.stac-item
2021-06-06 09:44:37	ga_s2am_ard_3-2-1_55JEK_2021-06-06_final.stac-item
2021-06-06 09:44:40	ga_s2am_ard_3-2-1_56JKP_2021-06-06_final.stac-item
2021-06-06 09:44:43	ga_s2am_ard_3-2-1_55JGJ_2021-06-06_final.stac-item
2021-06-06 09:44:47	ga_s2am_ard_3-2-1_55JFJ_2021-06-06_final.stac-item
2021-06-06 09:44:50	ga_s2am_ard_3-2-1_55JEJ_2021-06-06_final.stac-item
2021-06-06 09:44:55	ga_s2am_ard_3-2-1_56JKN_2021-06-06_final.stac-item
2021-06-06 09:44:58	ga_s2am_ard_3-2-1_55JGH_2021-06-06_final.stac-item
2021-06-06 09:45:01	ga_s2am_ard_3-2-1_55JFH_2021-06-06_final.stac-item
2021-06-06 09:45:05	ga_s2am_ard_3-2-1_55JEH_2021-06-06_final.stac-item
2021-06-06 09:45:09	ga_s2am_ard_3-2-1_56JKM_2021-06-06_final.stac-item
2021-06-06 09:45:12	ga_s2am_ard_3-2-1_55JGG_2021-06-06_final.stac-item
2021-06-06 09:45:16	ga_s2am_ard_3-2-1_55JFG_2021-06-06_final.stac-item
2021-06-06 09:45:19	ga_s2am_ard_3-2-1_55JEG_2021-06-06_final.stac-item
2021-06-06 09:45:23	ga_s2am_ard_3-2-1_56JKL_2021-06-06_final.stac-item
2021-06-06 09:45:26	ga_s2am_ard_3-2-1_55JGF_2021-06-06_final.stac-item
2021-06-06 11:24:30	ga_s2am_ard_3-2-1_51JWN_2021-06-06_final.stac-item
2021-06-06 11:24:33	ga_s2am_ard_3-2-1_51JZM_2021-06-06_final.stac-item
2021-06-06 11:24:33	ga_s2am_ard_3-2-1_52JBS_2021-06-06_final.stac-item
2021-06-06 11:24:38	ga_s2am_ard_3-2-1_51JYM_2021-06-06_final.stac-item
2021-06-06 11:24:41	ga_s2am_ard_3-2-1_51JXM_2021-06-06_final.stac-item
2021-06-06 11:24:44	ga_s2am_ard_3-2-1_52JBR_2021-06-06_final.stac-item
2021-06-06 11:24:45	ga_s2am_ard_3-2-1_51JWM_2021-06-06_final.stac-item
2021-06-06 11:24:52	ga_s2am_ard_3-2-1_51JYL_2021-06-06_final.stac-item
2021-06-06 11:24:56	ga_s2am_ard_3-2-1_51JXL_2021-06-06_final.stac-item
2021-06-06 11:24:59	ga_s2am_ard_3-2-1_51JWL_2021-06-06_final.stac-item
2021-06-06 11:25:04	ga_s2am_ard_3-2-1_51JVL_2021-06-06_final.stac-item
2021-06-06 11:25:06	ga_s2am_ard_3-2-1_51JYK_2021-06-06_final.stac-item
2021-06-06 11:25:10	ga_s2am_ard_3-2-1_51JXK_2021-06-06_final.stac-item
2021-06-06 11:25:14	ga_s2am_ard_3-2-1_51JWK_2021-06-06_final.stac-item
2021-06-06 11:25:17	ga_s2am_ard_3-2-1_51JVK_2021-06-06_final.stac-item
2021-06-06 11:25:21	ga_s2am_ard_3-2-1_51JYJ_2021-06-06_final.stac-item
2021-06-06 11:25:25	ga_s2am_ard_3-2-1_51JXJ_2021-06-06_final.stac-item
2021-06-06 11:25:28	ga_s2am_ard_3-2-1_51JWJ_2021-06-06_final.stac-item
2021-06-06 11:25:32	ga_s2am_ard_3-2-1_51JVJ_2021-06-06_final.stac-item
2021-06-06 11:25:35	ga_s2am_ard_3-2-1_51JYH_2021-06-06_final.stac-item
2021-06-06 11:25:39	ga_s2am_ard_3-2-1_51JXH_2021-06-06_final.stac-item
2021-06-06 11:25:43	ga_s2am_ard_3-2-1_51JWH_2021-06-06_final.stac-item
2021-06-06 11:25:46	ga_s2am_ard_3-2-1_51JYG_2021-06-06_final.stac-item
2021-06-06 11:25:46	ga_s2am_ard_3-2-1_51JVH_2021-06-06_final.stac-item
2021-06-06 11:25:53	ga_s2am_ard_3-2-1_51JXG_2021-06-06_final.stac-item
2021-06-06 11:25:57	ga_s2am_ard_3-2-1_51JWG_2021-06-06_final.stac-item
2021-06-06 11:26:01	ga_s2am_ard_3-2-1_51JVG_2021-06-06_final.stac-item
2021-06-06 11:26:06	ga_s2am_ard_3-2-1_51JUG_2021-06-06_final.stac-item
2021-06-06 11:26:08	ga_s2am_ard_3-2-1_51JXF_2021-06-06_final.stac-item
2021-06-06 11:26:12	ga_s2am_ard_3-2-1_51JWF_2021-06-06_final.stac-item
2021-06-06 11:26:15	ga_s2am_ard_3-2-1_51JVF_2021-06-06_final.stac-item
2021-06-06 11:26:19	ga_s2am_ard_3-2-1_51JUF_2021-06-06_final.stac-item
2021-06-06 11:26:23	ga_s2am_ard_3-2-1_51HXE_2021-06-06_final.stac-item
2021-06-06 11:26:26	ga_s2am_ard_3-2-1_51HWE_2021-06-06_final.stac-item
2021-06-06 11:26:30	ga_s2am_ard_3-2-1_51HVE_2021-06-06_final.stac-item
2021-06-06 11:26:33	ga_s2am_ard_3-2-1_51HUE_2021-06-06_final.stac-item
2021-06-06 11:26:36	ga_s2am_ard_3-2-1_51HXD_2021-06-06_final.stac-item
2021-06-06 11:26:38	ga_s2am_ard_3-2-1_51HWD_2021-06-06_final.stac-item
2021-06-06 11:26:40	ga_s2am_ard_3-2-1_51HVD_2021-06-06_final.stac-item
2021-06-06 11:26:42	ga_s2am_ard_3-2-1_51HUD_2021-06-06_final.stac-item
2021-06-06 11:26:43	ga_s2am_ard_3-2-1_51HXD_2021-06-06_final.stac-item
2021-06-06 11:26:45	ga_s2am_ard_3-2-1_51HWD_2021-06-06_final.stac-item
2021-06-06 11:26:47	ga_s2am_ard_3-2-1_51HVD_2021-06-06_final.stac-item
2021-06-06 11:26:48	ga_s2am_ard_3-2-1_51HXC_2021-06-06_final
2021-06-06 11:26:49	ga_s2am_ard_3-2-1_51HUD_2021-06-06_final.stac-item
2021-06-06 11:26:55	ga_s2am_ard_3-2-1_51HWC_2021-06-06_final
2021-06-06 11:26:59	ga_s2am_ard_3-2-1_51HVC_2021-06-06_final.stac-item
2021-06-06 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-06-06_final.stac-item
2021-06-06 11:27:08	ga_s2am_ard_3-2-1_51HTC_2021-06-06_final.stac-item
2021-06-06 11:27:09	ga_s2am_ard_3-2-1_51HWB_2021-06-06_final
2021-06-06 11:27:11	ga_s2am_ard_3-2-1_51HVB_2021-06-06_final
2021-06-06 11:27:13	ga_s2am_ard_3-2-1_51HUB_2021-06-06_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