Search ga_s2am_ard_3 whole collection

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

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

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2019-06-19 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-06-19_final.stac-item
2019-06-19 12:04:03	ga_s2am_ard_3-2-1_49KHR_2019-06-19_final
2019-06-19 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2019-06-19_final
2019-06-19 12:04:32	ga_s2am_ard_3-2-1_49KHP_2019-06-19_final
2019-06-19 12:04:32	ga_s2am_ard_3-2-1_50KKU_2019-06-19_final
2019-06-19 12:04:35	ga_s2am_ard_3-2-1_49KGP_2019-06-19_final
2019-06-19 12:04:39	ga_s2am_ard_3-2-1_50JMT_2019-06-19_final
2019-06-19 12:04:43	ga_s2am_ard_3-2-1_50JLT_2019-06-19_final
2019-06-19 12:04:46	ga_s2am_ard_3-2-1_49JHN_2019-06-19_final
2019-06-19 12:04:50	ga_s2am_ard_3-2-1_49JGN_2019-06-19_final
2019-06-19 12:04:57	ga_s2am_ard_3-2-1_50JLS_2019-06-19_final
2019-06-19 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-06-19_final
2019-06-19 12:05:02	ga_s2am_ard_3-2-1_50JMR_2019-06-19_final
2019-06-19 12:05:15	ga_s2am_ard_3-2-1_50JKR_2019-06-19_final
2019-06-19 12:05:19	ga_s2am_ard_3-2-1_49JGL_2019-06-19_final
2019-06-19 12:06:13	ga_s2am_ard_3-2-1_50JKM_2019-06-19_final
2019-06-20 09:51:22	ga_s2am_ard_3-2-1_55LFC_2019-06-20_final
2019-06-20 09:51:29	ga_s2am_ard_3-2-1_56KKG_2019-06-20_final.stac-item
2019-06-20 09:51:30	ga_s2am_ard_3-2-1_55KHB_2019-06-20_final.stac-item
2019-06-20 09:51:34	ga_s2am_ard_3-2-1_55KGB_2019-06-20_final
2019-06-20 09:51:37	ga_s2am_ard_3-2-1_55KFB_2019-06-20_final
2019-06-20 09:52:09	ga_s2am_ard_3-2-1_55KEV_2019-06-20_final
2019-06-20 09:52:21	ga_s2am_ard_3-2-1_55KFU_2019-06-20_final
2019-06-20 09:52:39	ga_s2am_ard_3-2-1_55KHS_2019-06-20_final
2019-06-20 09:53:29	ga_s2am_ard_3-2-1_55KGP_2019-06-20_final
2019-06-20 09:53:47	ga_s2am_ard_3-2-1_55JFN_2019-06-20_final
2019-06-20 09:53:51	ga_s2am_ard_3-2-1_55JEN_2019-06-20_final
2019-06-20 09:53:55	ga_s2am_ard_3-2-1_55JDN_2019-06-20_final
2019-06-20 09:54:02	ga_s2am_ard_3-2-1_55JCN_2019-06-20_final
2019-06-20 09:54:02	ga_s2am_ard_3-2-1_55JFM_2019-06-20_final
2019-06-20 09:54:13	ga_s2am_ard_3-2-1_55JCM_2019-06-20_final
2019-06-20 09:54:20	ga_s2am_ard_3-2-1_55JEL_2019-06-20_final
2019-06-20 09:54:24	ga_s2am_ard_3-2-1_55JDL_2019-06-20_final
2019-06-20 09:54:49	ga_s2am_ard_3-2-1_55JEJ_2019-06-20_final
2019-06-20 09:54:53	ga_s2am_ard_3-2-1_55JDJ_2019-06-20_final
2019-06-20 09:55:18	ga_s2am_ard_3-2-1_55JEG_2019-06-20_final
2019-06-20 09:55:22	ga_s2am_ard_3-2-1_55JDG_2019-06-20_final
2019-06-20 09:55:28	ga_s2am_ard_3-2-1_55JBG_2019-06-20_final
2019-06-20 09:55:33	ga_s2am_ard_3-2-1_55JEF_2019-06-20_final
2019-06-20 09:55:36	ga_s2am_ard_3-2-1_55JDF_2019-06-20_final
2019-06-20 09:56:14	ga_s2am_ard_3-2-1_54HYJ_2019-06-20_final
2019-06-20 09:56:23	ga_s2am_ard_3-2-1_55HCC_2019-06-20_final
2019-06-20 09:56:26	ga_s2am_ard_3-2-1_55HBC_2019-06-20_final
2019-06-20 09:56:28	ga_s2am_ard_3-2-1_54HYH_2019-06-20_final
2019-06-20 09:56:34	ga_s2am_ard_3-2-1_55HDB_2019-06-20_final
2019-06-20 09:56:49	ga_s2am_ard_3-2-1_55HDA_2019-06-20_final
2019-06-20 09:57:02	ga_s2am_ard_3-2-1_55HDV_2019-06-20_final
2019-06-20 09:57:07	ga_s2am_ard_3-2-1_55HCV_2019-06-20_final
2019-06-20 09:57:10	ga_s2am_ard_3-2-1_55HBV_2019-06-20_final
2019-06-20 09:57:12	ga_s2am_ard_3-2-1_54HYE_2019-06-20_final
2019-06-20 09:57:15	ga_s2am_ard_3-2-1_54HXE_2019-06-20_final
2019-06-20 09:57:21	ga_s2am_ard_3-2-1_55HCU_2019-06-20_final
2019-06-20 09:57:25	ga_s2am_ard_3-2-1_55HBU_2019-06-20_final
2019-06-20 09:57:26	ga_s2am_ard_3-2-1_54HYD_2019-06-20_final
2019-06-20 09:57:30	ga_s2am_ard_3-2-1_54HXD_2019-06-20_final
2019-06-20 09:57:39	ga_s2am_ard_3-2-1_55HBT_2019-06-20_final
2019-06-20 09:57:40	ga_s2am_ard_3-2-1_54HYC_2019-06-20_final
2019-06-20 09:57:44	ga_s2am_ard_3-2-1_54HXC_2019-06-20_final
2019-06-20 09:57:49	ga_s2am_ard_3-2-1_54HWC_2019-06-20_final
2019-06-20 09:57:55	ga_s2am_ard_3-2-1_54HYB_2019-06-20_final
2019-06-20 11:31:22	ga_s2am_ard_3-2-1_52LBK_2019-06-20_final
2019-06-20 11:31:24	ga_s2am_ard_3-2-1_51LZE_2019-06-20_final
2019-06-20 11:31:28	ga_s2am_ard_3-2-1_51LYE_2019-06-20_final
2019-06-20 11:31:33	ga_s2am_ard_3-2-1_52LBJ_2019-06-20_final
2019-06-20 11:31:34	ga_s2am_ard_3-2-1_51LWE_2019-06-20_final
2019-06-20 11:31:39	ga_s2am_ard_3-2-1_51LZD_2019-06-20_final
2019-06-20 11:31:43	ga_s2am_ard_3-2-1_51LYD_2019-06-20_final
2019-06-20 11:31:46	ga_s2am_ard_3-2-1_51LXD_2019-06-20_final
2019-06-20 11:32:03	ga_s2am_ard_3-2-1_51KZB_2019-06-20_final
2019-06-20 11:32:04	ga_s2am_ard_3-2-1_51LWC_2019-06-20_final
2019-06-20 11:32:11	ga_s2am_ard_3-2-1_51KYB_2019-06-20_final
2019-06-20 11:32:15	ga_s2am_ard_3-2-1_51KXB_2019-06-20_final
2019-06-20 11:32:33	ga_s2am_ard_3-2-1_51KWA_2019-06-20_final
2019-06-20 11:32:36	ga_s2am_ard_3-2-1_51KVA_2019-06-20_final
2019-06-20 11:32:44	ga_s2am_ard_3-2-1_51KXV_2019-06-20_final
2019-06-20 11:32:47	ga_s2am_ard_3-2-1_51KWV_2019-06-20_final
2019-06-20 11:32:50	ga_s2am_ard_3-2-1_51KVV_2019-06-20_final
2019-06-20 11:32:58	ga_s2am_ard_3-2-1_51KXU_2019-06-20_final
2019-06-20 11:33:06	ga_s2am_ard_3-2-1_51KXU_2019-06-20_final
2019-06-20 11:34:19	ga_s2am_ard_3-2-1_51JXN_2019-06-20_final
2019-06-20 11:34:29	ga_s2am_ard_3-2-1_51JWN_2019-06-20_final
2019-06-20 11:34:33	ga_s2am_ard_3-2-1_51JVN_2019-06-20_final
2019-06-20 11:34:36	ga_s2am_ard_3-2-1_51JUN_2019-06-20_final
2019-06-20 11:34:41	ga_s2am_ard_3-2-1_50JRT_2019-06-20_final
2019-06-20 11:34:50	ga_s2am_ard_3-2-1_51JUM_2019-06-20_final
2019-06-20 11:34:53	ga_s2am_ard_3-2-1_50JRS_2019-06-20_final
2019-06-20 11:34:58	ga_s2am_ard_3-2-1_51JWL_2019-06-20_final
2019-06-20 11:35:02	ga_s2am_ard_3-2-1_51JVL_2019-06-20_final
2019-06-20 11:35:08	ga_s2am_ard_3-2-1_51JTL_2019-06-20_final
2019-06-20 11:35:12	ga_s2am_ard_3-2-1_51JWK_2019-06-20_final
2019-06-20 11:35:16	ga_s2am_ard_3-2-1_51JVK_2019-06-20_final
2019-06-20 11:35:23	ga_s2am_ard_3-2-1_51JWJ_2019-06-20_final
2019-06-20 11:35:30	ga_s2am_ard_3-2-1_51JVJ_2019-06-20_final
2019-06-20 11:36:00	ga_s2am_ard_3-2-1_51JVG_2019-06-20_final
2019-06-20 11:36:06	ga_s2am_ard_3-2-1_51JTG_2019-06-20_final
2019-06-20 11:36:09	ga_s2am_ard_3-2-1_50JQM_2019-06-20_final
2019-06-20 11:36:14	ga_s2am_ard_3-2-1_51JVF_2019-06-20_final
2019-06-20 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-06-20_final
2019-06-20 11:37:05	ga_s2am_ard_3-2-1_51HTC_2019-06-20_final
2019-06-20 11:37:07	ga_s2am_ard_3-2-1_50HQH_2019-06-20_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years