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
2023-02-06 11:20:56	ga_s2am_ard_3-2-1_51LZG_2023-02-06_nrt.stac-item
2023-02-06 11:21:10	ga_s2am_ard_3-2-1_51LZF_2023-02-06_nrt.stac-item
2023-02-06 11:21:24	ga_s2am_ard_3-2-1_51LZE_2023-02-06_final
2023-02-06 11:21:37	ga_s2am_ard_3-2-1_52LBJ_2023-02-06_final
2023-02-06 11:21:39	ga_s2am_ard_3-2-1_51LZD_2023-02-06_final
2023-02-06 11:21:52	ga_s2am_ard_3-2-1_52LBH_2023-02-06_final
2023-02-06 11:21:53	ga_s2am_ard_3-2-1_51LZC_2023-02-06_final
2023-02-06 11:21:58	ga_s2am_ard_3-2-1_51LYC_2023-02-06_final
2023-02-06 11:21:59	ga_s2am_ard_3-2-1_52KDG_2023-02-06_final
2023-02-06 11:22:03	ga_s2am_ard_3-2-1_52KCG_2023-02-06_final
2023-02-06 11:22:07	ga_s2am_ard_3-2-1_52KBG_2023-02-06_final
2023-02-06 11:22:08	ga_s2am_ard_3-2-1_51KZB_2023-02-06_final
2023-02-06 11:22:11	ga_s2am_ard_3-2-1_51KYB_2023-02-06_final
2023-02-06 11:22:11	ga_s2am_ard_3-2-1_52KDF_2023-02-06_final
2023-02-06 11:22:18	ga_s2am_ard_3-2-1_52KCF_2023-02-06_final
2023-02-06 11:22:21	ga_s2am_ard_3-2-1_52KBF_2023-02-06_final
2023-02-06 11:22:22	ga_s2am_ard_3-2-1_51KZA_2023-02-06_final
2023-02-06 11:22:26	ga_s2am_ard_3-2-1_51KYA_2023-02-06_final
2023-02-06 11:22:32	ga_s2am_ard_3-2-1_52KCE_2023-02-06_final
2023-02-06 11:22:36	ga_s2am_ard_3-2-1_52KBE_2023-02-06_final
2023-02-06 11:22:37	ga_s2am_ard_3-2-1_51KZV_2023-02-06_final
2023-02-06 11:22:40	ga_s2am_ard_3-2-1_51KYV_2023-02-06_final
2023-02-06 11:22:47	ga_s2am_ard_3-2-1_52KCD_2023-02-06_final
2023-02-06 11:22:50	ga_s2am_ard_3-2-1_52KBD_2023-02-06_final
2023-02-06 11:22:51	ga_s2am_ard_3-2-1_51KZU_2023-02-06_final
2023-02-06 11:22:55	ga_s2am_ard_3-2-1_51KYU_2023-02-06_final
2023-02-06 11:22:59	ga_s2am_ard_3-2-1_51KXU_2023-02-06_final
2023-02-06 11:23:02	ga_s2am_ard_3-2-1_52KCC_2023-02-06_final
2023-02-06 11:23:05	ga_s2am_ard_3-2-1_52KBC_2023-02-06_final
2023-02-06 11:23:06	ga_s2am_ard_3-2-1_51KZT_2023-02-06_final
2023-02-06 11:23:09	ga_s2am_ard_3-2-1_51KYT_2023-02-06_final
2023-02-06 11:23:12	ga_s2am_ard_3-2-1_51KXT_2023-02-06_final
2023-02-06 11:23:15	ga_s2am_ard_3-2-1_52KCB_2023-02-06_final
2023-02-06 11:23:19	ga_s2am_ard_3-2-1_52KBB_2023-02-06_final
2023-02-06 11:23:20	ga_s2am_ard_3-2-1_51KZS_2023-02-06_final
2023-02-06 11:23:24	ga_s2am_ard_3-2-1_51KYS_2023-02-06_final
2023-02-06 11:23:26	ga_s2am_ard_3-2-1_52KCA_2023-02-06_final
2023-02-06 11:23:27	ga_s2am_ard_3-2-1_51KXS_2023-02-06_final
2023-02-06 11:23:34	ga_s2am_ard_3-2-1_52KBA_2023-02-06_final
2023-02-06 11:23:34	ga_s2am_ard_3-2-1_51KZR_2023-02-06_final
2023-02-06 11:23:38	ga_s2am_ard_3-2-1_51KYR_2023-02-06_final
2023-02-06 11:23:42	ga_s2am_ard_3-2-1_51KXR_2023-02-06_final
2023-02-06 11:23:48	ga_s2am_ard_3-2-1_52KBV_2023-02-06_final
2023-02-06 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2023-02-06_final
2023-02-06 11:23:53	ga_s2am_ard_3-2-1_51KYQ_2023-02-06_final
2023-02-06 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2023-02-06_final
2023-02-06 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2023-02-06_final
2023-02-06 11:24:03	ga_s2am_ard_3-2-1_51KZP_2023-02-06_final
2023-02-06 11:24:03	ga_s2am_ard_3-2-1_52KBU_2023-02-06_final
2023-02-06 11:24:07	ga_s2am_ard_3-2-1_51KYP_2023-02-06_final
2023-02-06 11:24:10	ga_s2am_ard_3-2-1_51KXP_2023-02-06_final
2023-02-06 11:24:14	ga_s2am_ard_3-2-1_51KWP_2023-02-06_final
2023-02-06 11:24:18	ga_s2am_ard_3-2-1_52JBT_2023-02-06_final
2023-02-06 11:24:18	ga_s2am_ard_3-2-1_51JZN_2023-02-06_final
2023-02-06 11:24:22	ga_s2am_ard_3-2-1_51JYN_2023-02-06_final
2023-02-06 11:24:25	ga_s2am_ard_3-2-1_51JXN_2023-02-06_final
2023-02-06 11:24:28	ga_s2am_ard_3-2-1_51JWN_2023-02-06_final
2023-02-06 11:24:31	ga_s2am_ard_3-2-1_51JZM_2023-02-06_final
2023-02-06 11:24:31	ga_s2am_ard_3-2-1_52JBS_2023-02-06_final
2023-02-06 11:24:36	ga_s2am_ard_3-2-1_51JYM_2023-02-06_final
2023-02-06 11:24:39	ga_s2am_ard_3-2-1_51JXM_2023-02-06_final
2023-02-06 11:24:42	ga_s2am_ard_3-2-1_52JBR_2023-02-06_final
2023-02-06 11:24:43	ga_s2am_ard_3-2-1_51JWM_2023-02-06_final
2023-02-06 11:24:50	ga_s2am_ard_3-2-1_51JYL_2023-02-06_final
2023-02-06 11:24:54	ga_s2am_ard_3-2-1_51JXL_2023-02-06_final
2023-02-06 11:24:58	ga_s2am_ard_3-2-1_51JWL_2023-02-06_final
2023-02-06 11:25:02	ga_s2am_ard_3-2-1_51JVL_2023-02-06_final
2023-02-06 11:25:05	ga_s2am_ard_3-2-1_51JYK_2023-02-06_final
2023-02-06 11:25:08	ga_s2am_ard_3-2-1_51JXK_2023-02-06_final
2023-02-06 11:25:12	ga_s2am_ard_3-2-1_51JWK_2023-02-06_final
2023-02-06 11:25:15	ga_s2am_ard_3-2-1_51JVK_2023-02-06_final
2023-02-06 11:25:19	ga_s2am_ard_3-2-1_51JYJ_2023-02-06_final
2023-02-06 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2023-02-06_final
2023-02-06 11:25:27	ga_s2am_ard_3-2-1_51JWJ_2023-02-06_final
2023-02-06 11:25:30	ga_s2am_ard_3-2-1_51JVJ_2023-02-06_final
2023-02-06 11:25:33	ga_s2am_ard_3-2-1_51JYH_2023-02-06_final
2023-02-06 11:25:37	ga_s2am_ard_3-2-1_51JXH_2023-02-06_final
2023-02-06 11:25:41	ga_s2am_ard_3-2-1_51JWH_2023-02-06_final
2023-02-06 11:25:44	ga_s2am_ard_3-2-1_51JYG_2023-02-06_final
2023-02-06 11:25:45	ga_s2am_ard_3-2-1_51JVH_2023-02-06_final
2023-02-06 11:25:52	ga_s2am_ard_3-2-1_51JXG_2023-02-06_final
2023-02-06 11:25:56	ga_s2am_ard_3-2-1_51JWG_2023-02-06_final
2023-02-06 11:25:59	ga_s2am_ard_3-2-1_51JVG_2023-02-06_final
2023-02-06 11:26:04	ga_s2am_ard_3-2-1_51JUG_2023-02-06_final
2023-02-06 11:26:06	ga_s2am_ard_3-2-1_51JXF_2023-02-06_final
2023-02-06 11:26:10	ga_s2am_ard_3-2-1_51JWF_2023-02-06_final
2023-02-06 11:26:13	ga_s2am_ard_3-2-1_51JVF_2023-02-06_final
2023-02-06 11:26:17	ga_s2am_ard_3-2-1_51JUF_2023-02-06_final
2023-02-06 11:26:21	ga_s2am_ard_3-2-1_51HXE_2023-02-06_final
2023-02-06 11:26:25	ga_s2am_ard_3-2-1_51HWE_2023-02-06_final
2023-02-06 11:26:28	ga_s2am_ard_3-2-1_51HVE_2023-02-06_final
2023-02-06 11:26:31	ga_s2am_ard_3-2-1_51HUE_2023-02-06_final
2023-02-06 11:26:35	ga_s2am_ard_3-2-1_51HXD_2023-02-06_final
2023-02-06 11:26:39	ga_s2am_ard_3-2-1_51HWD_2023-02-06_final
2023-02-06 11:26:43	ga_s2am_ard_3-2-1_51HVD_2023-02-06_final
2023-02-06 11:26:46	ga_s2am_ard_3-2-1_51HUD_2023-02-06_final
2023-02-06 11:26:53	ga_s2am_ard_3-2-1_51HWC_2023-02-06_final
2023-02-06 11:26:57	ga_s2am_ard_3-2-1_51HVC_2023-02-06_final
2023-02-06 11:27:01	ga_s2am_ard_3-2-1_51HUC_2023-02-06_final
2023-02-06 11:27:06	ga_s2am_ard_3-2-1_51HTC_2023-02-06_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