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
2021-10-16 12:05:04	ga_s2am_ard_3-2-1_50JMR_2021-10-16_final
2021-10-16 12:05:12	ga_s2am_ard_3-2-1_50JLR_2021-10-16_final
2021-10-16 12:05:14	ga_s2am_ard_3-2-1_50JKR_2021-10-16_final
2021-10-16 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-10-16_final
2021-10-16 12:05:19	ga_s2am_ard_3-2-1_50JLR_2021-10-16_final
2021-10-16 12:05:21	ga_s2am_ard_3-2-1_50JKR_2021-10-16_final
2021-10-16 12:05:22	ga_s2am_ard_3-2-1_49JGL_2021-10-16_final
2021-10-16 12:06:01	ga_s2am_ard_3-2-1_50JKN_2021-10-16_final
2021-10-16 12:06:04	ga_s2am_ard_3-2-1_49JGH_2021-10-16_final.stac-item
2021-10-16 12:06:15	ga_s2am_ard_3-2-1_50JKM_2021-10-16_final
2021-10-17 09:51:17	ga_s2am_ard_3-2-1_55LHC_2021-10-17_final.stac-item
2021-10-17 09:51:21	ga_s2am_ard_3-2-1_55LGC_2021-10-17_final
2021-10-17 09:51:53	ga_s2am_ard_3-2-1_55KFA_2021-10-17_final
2021-10-17 09:52:11	ga_s2am_ard_3-2-1_55KEV_2021-10-17_final
2021-10-17 09:52:19	ga_s2am_ard_3-2-1_55KGU_2021-10-17_final
2021-10-17 09:52:22	ga_s2am_ard_3-2-1_55KFU_2021-10-17_final
2021-10-17 09:52:25	ga_s2am_ard_3-2-1_55KEU_2021-10-17_final
2021-10-17 09:52:37	ga_s2am_ard_3-2-1_55KFT_2021-10-17_final
2021-10-17 09:52:40	ga_s2am_ard_3-2-1_55KET_2021-10-17_final
2021-10-17 09:52:47	ga_s2am_ard_3-2-1_55KGS_2021-10-17_final
2021-10-17 09:53:02	ga_s2am_ard_3-2-1_55KGR_2021-10-17_final
2021-10-17 09:53:06	ga_s2am_ard_3-2-1_55KFR_2021-10-17_final
2021-10-17 09:53:09	ga_s2am_ard_3-2-1_55KER_2021-10-17_final
2021-10-17 09:53:13	ga_s2am_ard_3-2-1_55KDR_2021-10-17_final
2021-10-17 09:53:24	ga_s2am_ard_3-2-1_55KEQ_2021-10-17_final
2021-10-17 09:53:27	ga_s2am_ard_3-2-1_55KDQ_2021-10-17_final
2021-10-17 09:53:35	ga_s2am_ard_3-2-1_55KFP_2021-10-17_final
2021-10-17 09:53:38	ga_s2am_ard_3-2-1_55KEP_2021-10-17_final
2021-10-17 09:53:42	ga_s2am_ard_3-2-1_55KDP_2021-10-17_final
2021-10-17 09:54:07	ga_s2am_ard_3-2-1_55JEM_2021-10-17_final
2021-10-17 09:54:11	ga_s2am_ard_3-2-1_55JDM_2021-10-17_final
2021-10-17 09:54:18	ga_s2am_ard_3-2-1_55JFL_2021-10-17_final
2021-10-17 09:54:22	ga_s2am_ard_3-2-1_55JEL_2021-10-17_final
2021-10-17 09:54:25	ga_s2am_ard_3-2-1_55JDL_2021-10-17_final
2021-10-17 09:54:28	ga_s2am_ard_3-2-1_55JCL_2021-10-17_final
2021-10-17 09:54:36	ga_s2am_ard_3-2-1_55JEK_2021-10-17_final
2021-10-17 09:54:40	ga_s2am_ard_3-2-1_55JDK_2021-10-17_final
2021-10-17 09:54:51	ga_s2am_ard_3-2-1_55JEJ_2021-10-17_final
2021-10-17 09:54:54	ga_s2am_ard_3-2-1_55JDJ_2021-10-17_final
2021-10-17 09:54:56	ga_s2am_ard_3-2-1_55JFH_2021-10-17_final
2021-10-17 09:55:30	ga_s2am_ard_3-2-1_55JBG_2021-10-17_final
2021-10-17 09:55:34	ga_s2am_ard_3-2-1_55JEF_2021-10-17_final
2021-10-17 09:55:38	ga_s2am_ard_3-2-1_55JDF_2021-10-17_final
2021-10-17 09:56:28	ga_s2am_ard_3-2-1_55HBC_2021-10-17_final
2021-10-17 09:56:30	ga_s2am_ard_3-2-1_54HYH_2021-10-17_final
2021-10-17 09:56:50	ga_s2am_ard_3-2-1_55HDA_2021-10-17_final
2021-10-17 09:57:03	ga_s2am_ard_3-2-1_55HDV_2021-10-17_final
2021-10-17 09:57:08	ga_s2am_ard_3-2-1_55HCV_2021-10-17_final
2021-10-17 09:57:12	ga_s2am_ard_3-2-1_55HBV_2021-10-17_final
2021-10-17 09:57:13	ga_s2am_ard_3-2-1_54HYE_2021-10-17_final
2021-10-17 09:57:17	ga_s2am_ard_3-2-1_54HXE_2021-10-17_final
2021-10-17 09:57:52	ga_s2am_ard_3-2-1_55HCS_2021-10-17_final
2021-10-17 09:57:56	ga_s2am_ard_3-2-1_55HBS_2021-10-17_final
2021-10-17 09:57:56	ga_s2am_ard_3-2-1_54HYB_2021-10-17_final
2021-10-17 09:58:29	ga_s2am_ard_3-2-1_55GCP_2021-10-17_final
2021-10-17 11:31:34	ga_s2am_ard_3-2-1_52LBJ_2021-10-17_final
2021-10-17 11:31:36	ga_s2am_ard_3-2-1_51LWE_2021-10-17_final
2021-10-17 11:31:41	ga_s2am_ard_3-2-1_51LZD_2021-10-17_final
2021-10-17 11:31:44	ga_s2am_ard_3-2-1_51LYD_2021-10-17_final
2021-10-17 11:31:48	ga_s2am_ard_3-2-1_51LXD_2021-10-17_final
2021-10-17 11:31:54	ga_s2am_ard_3-2-1_51LZC_2021-10-17_final
2021-10-17 11:31:58	ga_s2am_ard_3-2-1_51LYC_2021-10-17_final
2021-10-17 11:32:05	ga_s2am_ard_3-2-1_51LWC_2021-10-17_final
2021-10-17 11:32:31	ga_s2am_ard_3-2-1_51KXA_2021-10-17_final
2021-10-17 11:32:34	ga_s2am_ard_3-2-1_51KWA_2021-10-17_final
2021-10-17 11:32:38	ga_s2am_ard_3-2-1_51KVA_2021-10-17_final
2021-10-17 11:32:49	ga_s2am_ard_3-2-1_51KWV_2021-10-17_final
2021-10-17 11:32:52	ga_s2am_ard_3-2-1_51KVV_2021-10-17_final
2021-10-17 11:32:56	ga_s2am_ard_3-2-1_51KYU_2021-10-17_final
2021-10-17 11:33:00	ga_s2am_ard_3-2-1_51KXU_2021-10-17_final
2021-10-17 11:33:03	ga_s2am_ard_3-2-1_51KWU_2021-10-17_final
2021-10-17 11:33:07	ga_s2am_ard_3-2-1_51KVU_2021-10-17_final
2021-10-17 11:33:07	ga_s2am_ard_3-2-1_51KYT_2021-10-17_final
2021-10-17 11:33:14	ga_s2am_ard_3-2-1_51KXT_2021-10-17_final
2021-10-17 11:33:18	ga_s2am_ard_3-2-1_51KWT_2021-10-17_final
2021-10-17 11:33:21	ga_s2am_ard_3-2-1_51KVT_2021-10-17_final
2021-10-17 11:33:27	ga_s2am_ard_3-2-1_51KUT_2021-10-17_final
2021-10-17 11:33:36	ga_s2am_ard_3-2-1_51KVS_2021-10-17_final
2021-10-17 11:33:39	ga_s2am_ard_3-2-1_51KUS_2021-10-17_final
2021-10-17 11:33:44	ga_s2am_ard_3-2-1_51KXR_2021-10-17_final
2021-10-17 11:33:47	ga_s2am_ard_3-2-1_51KWR_2021-10-17_final
2021-10-17 11:33:53	ga_s2am_ard_3-2-1_51KUR_2021-10-17_final
2021-10-17 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2021-10-17_final
2021-10-17 11:34:05	ga_s2am_ard_3-2-1_51KVQ_2021-10-17_final
2021-10-17 11:34:16	ga_s2am_ard_3-2-1_51KWP_2021-10-17_final
2021-10-17 11:34:20	ga_s2am_ard_3-2-1_51KVP_2021-10-17_final
2021-10-17 11:35:00	ga_s2am_ard_3-2-1_51JWL_2021-10-17_final
2021-10-17 11:35:03	ga_s2am_ard_3-2-1_51JVL_2021-10-17_final
2021-10-17 11:35:06	ga_s2am_ard_3-2-1_51JUL_2021-10-17_final
2021-10-17 11:35:09	ga_s2am_ard_3-2-1_51JTL_2021-10-17_final
2021-10-17 11:35:13	ga_s2am_ard_3-2-1_51JWK_2021-10-17_final
2021-10-17 11:35:18	ga_s2am_ard_3-2-1_51JVK_2021-10-17_final
2021-10-17 11:35:24	ga_s2am_ard_3-2-1_51JWJ_2021-10-17_final
2021-10-17 11:35:46	ga_s2am_ard_3-2-1_51JVH_2021-10-17_final
2021-10-17 11:35:53	ga_s2am_ard_3-2-1_51JTH_2021-10-17_final
2021-10-17 11:35:56	ga_s2am_ard_3-2-1_50JQN_2021-10-17_final
2021-10-17 11:36:08	ga_s2am_ard_3-2-1_51JTG_2021-10-17_final
2021-10-17 11:36:11	ga_s2am_ard_3-2-1_50JQM_2021-10-17_final
2021-10-17 11:36:16	ga_s2am_ard_3-2-1_51JVF_2021-10-17_final
2021-10-17 11:37:06	ga_s2am_ard_3-2-1_51HTC_2021-10-17_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