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
2020-02-27 10:31:58	ga_s2am_ard_3-2-1_54KTF_2020-02-27_final.stac-item
2020-02-27 10:32:00	ga_s2am_ard_3-2-1_53KRA_2020-02-27_final.stac-item
2020-02-27 10:32:06	ga_s2am_ard_3-2-1_53KQA_2020-02-27_final.stac-item
2020-02-27 10:32:07	ga_s2am_ard_3-2-1_54KVE_2020-02-27_final.stac-item
2020-02-27 10:32:10	ga_s2am_ard_3-2-1_54KUE_2020-02-27_final.stac-item
2020-02-27 10:32:13	ga_s2am_ard_3-2-1_54KTE_2020-02-27_final.stac-item
2020-02-27 10:32:14	ga_s2am_ard_3-2-1_53KRV_2020-02-27_final.stac-item
2020-02-27 10:32:18	ga_s2am_ard_3-2-1_53KQV_2020-02-27_final.stac-item
2020-02-27 10:32:20	ga_s2am_ard_3-2-1_54KVD_2020-02-27_final.stac-item
2020-02-27 10:32:24	ga_s2am_ard_3-2-1_54KUD_2020-02-27_final.stac-item
2020-02-27 10:32:28	ga_s2am_ard_3-2-1_54KTD_2020-02-27_final.stac-item
2020-02-27 10:32:28	ga_s2am_ard_3-2-1_53KRU_2020-02-27_final.stac-item
2020-02-27 10:32:32	ga_s2am_ard_3-2-1_53KQU_2020-02-27_final.stac-item
2020-02-27 10:32:32	ga_s2am_ard_3-2-1_54KVC_2020-02-27_final.stac-item
2020-02-27 10:32:39	ga_s2am_ard_3-2-1_54KUC_2020-02-27_final.stac-item
2020-02-27 10:32:42	ga_s2am_ard_3-2-1_54KTC_2020-02-27_final.stac-item
2020-02-27 10:32:43	ga_s2am_ard_3-2-1_53KRT_2020-02-27_final.stac-item
2020-02-27 10:32:46	ga_s2am_ard_3-2-1_53KQT_2020-02-27_final.stac-item
2020-02-27 10:32:53	ga_s2am_ard_3-2-1_54KUB_2020-02-27_final.stac-item
2020-02-27 10:32:57	ga_s2am_ard_3-2-1_54KTB_2020-02-27_final.stac-item
2020-02-27 10:32:57	ga_s2am_ard_3-2-1_53KRS_2020-02-27_final.stac-item
2020-02-27 10:33:01	ga_s2am_ard_3-2-1_53KQS_2020-02-27_final.stac-item
2020-02-27 10:33:07	ga_s2am_ard_3-2-1_53KPS_2020-02-27_final.stac-item
2020-02-27 10:33:08	ga_s2am_ard_3-2-1_54KUA_2020-02-27_final.stac-item
2020-02-27 10:33:11	ga_s2am_ard_3-2-1_54KTA_2020-02-27_final.stac-item
2020-02-27 10:33:12	ga_s2am_ard_3-2-1_53KRR_2020-02-27_final.stac-item
2020-02-27 12:13:35	ga_s2am_ard_3-2-1_50KKB_2020-02-27_final.stac-item
2020-02-27 12:13:49	ga_s2am_ard_3-2-1_50KKA_2020-02-27_final.stac-item
2020-02-27 12:13:50	ga_s2am_ard_3-2-1_49KHR_2020-02-27_final.stac-item
2020-02-27 12:13:53	ga_s2am_ard_3-2-1_49KGR_2020-02-27_final.stac-item
2020-02-27 12:14:03	ga_s2am_ard_3-2-1_50KKV_2020-02-27_final.stac-item
2020-02-27 12:14:04	ga_s2am_ard_3-2-1_49KHQ_2020-02-27_final.stac-item
2020-02-27 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2020-02-27_final.stac-item
2020-02-27 12:14:14	ga_s2am_ard_3-2-1_50KKU_2020-02-27_final.stac-item
2020-02-27 12:14:16	ga_s2am_ard_3-2-1_49KHP_2020-02-27_final.stac-item
2020-02-27 12:14:22	ga_s2am_ard_3-2-1_49KGP_2020-02-27_final.stac-item
2020-02-27 12:14:26	ga_s2am_ard_3-2-1_49JHN_2020-02-27_final.stac-item
2020-02-27 12:14:36	ga_s2am_ard_3-2-1_49JGN_2020-02-27_final.stac-item
2020-02-27 12:14:40	ga_s2am_ard_3-2-1_49JFN_2020-02-27_final.stac-item
2020-02-27 12:14:51	ga_s2am_ard_3-2-1_49JGM_2020-02-27_final.stac-item
2020-02-27 12:14:55	ga_s2am_ard_3-2-1_49JFM_2020-02-27_final.stac-item
2020-02-27 12:15:05	ga_s2am_ard_3-2-1_49JGL_2020-02-27_final.stac-item
2020-02-27 12:15:15	ga_s2am_ard_3-2-1_49JGK_2020-02-27_final.stac-item
2020-02-28 10:04:06	ga_s2am_ard_3-2-1_54JYS_2020-02-28_final.stac-item
2020-02-28 10:04:20	ga_s2am_ard_3-2-1_54JYR_2020-02-28_final.stac-item
2020-02-28 10:04:28	ga_s2am_ard_3-2-1_54JXR_2020-02-28_final.stac-item
2020-02-28 10:04:35	ga_s2am_ard_3-2-1_54JYQ_2020-02-28_final.stac-item
2020-02-28 10:04:39	ga_s2am_ard_3-2-1_54JXQ_2020-02-28_final.stac-item
2020-02-28 10:04:43	ga_s2am_ard_3-2-1_55JCJ_2020-02-28_final.stac-item
2020-02-28 10:04:46	ga_s2am_ard_3-2-1_55JBJ_2020-02-28_final.stac-item
2020-02-28 10:04:49	ga_s2am_ard_3-2-1_54JYP_2020-02-28_final.stac-item
2020-02-28 10:04:53	ga_s2am_ard_3-2-1_54JXP_2020-02-28_final.stac-item
2020-02-28 10:04:58	ga_s2am_ard_3-2-1_55JCH_2020-02-28_final.stac-item
2020-02-28 10:05:01	ga_s2am_ard_3-2-1_55JBH_2020-02-28_final.stac-item
2020-02-28 10:05:04	ga_s2am_ard_3-2-1_54JYN_2020-02-28_final.stac-item
2020-02-28 10:05:07	ga_s2am_ard_3-2-1_54JXN_2020-02-28_final.stac-item
2020-02-28 10:05:12	ga_s2am_ard_3-2-1_55JCG_2020-02-28_final.stac-item
2020-02-28 10:05:15	ga_s2am_ard_3-2-1_55JBG_2020-02-28_final.stac-item
2020-02-28 10:05:18	ga_s2am_ard_3-2-1_54JYM_2020-02-28_final.stac-item
2020-02-28 10:05:22	ga_s2am_ard_3-2-1_54JXM_2020-02-28_final.stac-item
2020-02-28 10:05:24	ga_s2am_ard_3-2-1_55JCF_2020-02-28_final.stac-item
2020-02-28 10:05:28	ga_s2am_ard_3-2-1_54JWM_2020-02-28_final.stac-item
2020-02-28 10:05:30	ga_s2am_ard_3-2-1_55JBF_2020-02-28_final.stac-item
2020-02-28 10:05:33	ga_s2am_ard_3-2-1_54JYL_2020-02-28_final.stac-item
2020-02-28 10:05:34	ga_s2am_ard_3-2-1_55HCE_2020-02-28_final.stac-item
2020-02-28 10:05:36	ga_s2am_ard_3-2-1_54JXL_2020-02-28_final.stac-item
2020-02-28 10:05:40	ga_s2am_ard_3-2-1_54JWL_2020-02-28_final.stac-item
2020-02-28 10:05:44	ga_s2am_ard_3-2-1_55HBE_2020-02-28_final.stac-item
2020-02-28 10:05:47	ga_s2am_ard_3-2-1_54HYK_2020-02-28_final.stac-item
2020-02-28 10:05:51	ga_s2am_ard_3-2-1_54HXK_2020-02-28_final.stac-item
2020-02-28 10:05:54	ga_s2am_ard_3-2-1_54HWK_2020-02-28_final.stac-item
2020-02-28 10:05:59	ga_s2am_ard_3-2-1_55HBD_2020-02-28_final.stac-item
2020-02-28 10:06:01	ga_s2am_ard_3-2-1_54HYJ_2020-02-28_final.stac-item
2020-02-28 10:06:05	ga_s2am_ard_3-2-1_54HXJ_2020-02-28_final.stac-item
2020-02-28 10:06:09	ga_s2am_ard_3-2-1_54HWJ_2020-02-28_final.stac-item
2020-02-28 10:06:14	ga_s2am_ard_3-2-1_55HBC_2020-02-28_final.stac-item
2020-02-28 10:06:15	ga_s2am_ard_3-2-1_54HYH_2020-02-28_final.stac-item
2020-02-28 10:06:20	ga_s2am_ard_3-2-1_54HXH_2020-02-28_final.stac-item
2020-02-28 10:06:23	ga_s2am_ard_3-2-1_54HWH_2020-02-28_final.stac-item
2020-02-28 10:06:28	ga_s2am_ard_3-2-1_55HBB_2020-02-28_final.stac-item
2020-02-28 10:06:29	ga_s2am_ard_3-2-1_54HVH_2020-02-28_final.stac-item
2020-02-28 10:06:30	ga_s2am_ard_3-2-1_54HYG_2020-02-28_final.stac-item
2020-02-28 10:06:34	ga_s2am_ard_3-2-1_54HXG_2020-02-28_final.stac-item
2020-02-28 10:06:38	ga_s2am_ard_3-2-1_54HWG_2020-02-28_final.stac-item
2020-02-28 10:06:41	ga_s2am_ard_3-2-1_55HBA_2020-02-28_final.stac-item
2020-02-28 10:06:41	ga_s2am_ard_3-2-1_54HVG_2020-02-28_final.stac-item
2020-02-28 10:06:45	ga_s2am_ard_3-2-1_54HYF_2020-02-28_final.stac-item
2020-02-28 10:06:49	ga_s2am_ard_3-2-1_54HXF_2020-02-28_final.stac-item
2020-02-28 10:06:51	ga_s2am_ard_3-2-1_55HBV_2020-02-28_final.stac-item
2020-02-28 10:06:52	ga_s2am_ard_3-2-1_54HWF_2020-02-28_final.stac-item
2020-02-28 10:06:56	ga_s2am_ard_3-2-1_54HVF_2020-02-28_final.stac-item
2020-02-28 10:06:58	ga_s2am_ard_3-2-1_54HYE_2020-02-28_final.stac-item
2020-02-28 10:07:03	ga_s2am_ard_3-2-1_54HXE_2020-02-28_final.stac-item
2020-02-28 10:07:07	ga_s2am_ard_3-2-1_54HWE_2020-02-28_final.stac-item
2020-02-28 10:07:10	ga_s2am_ard_3-2-1_54HYD_2020-02-28_final.stac-item
2020-02-28 10:07:10	ga_s2am_ard_3-2-1_54HVE_2020-02-28_final.stac-item
2020-02-28 10:07:17	ga_s2am_ard_3-2-1_54HXD_2020-02-28_final.stac-item
2020-02-28 10:07:21	ga_s2am_ard_3-2-1_54HWD_2020-02-28_final.stac-item
2020-02-28 10:07:25	ga_s2am_ard_3-2-1_54HVD_2020-02-28_final.stac-item
2020-02-28 10:07:32	ga_s2am_ard_3-2-1_54HXC_2020-02-28_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years