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

68 results

Time (local)	Label
2024-04-13 12:00:42	ga_s2am_ard_3-2-1_50LNP_2024-04-13_nrt.stac-item
2024-04-13 12:00:53	ga_s2am_ard_3-2-1_50LPN_2024-04-13_nrt.stac-item
2024-04-13 12:00:56	ga_s2am_ard_3-2-1_50LNN_2024-04-13_nrt.stac-item
2024-04-13 12:00:59	ga_s2am_ard_3-2-1_50LMN_2024-04-13_nrt.stac-item
2024-04-13 12:01:22	ga_s2am_ard_3-2-1_50LPL_2024-04-13_nrt.stac-item
2024-04-13 12:01:28	ga_s2am_ard_3-2-1_50LML_2024-04-13_nrt.stac-item
2024-04-13 12:03:07	ga_s2am_ard_3-2-1_50KND_2024-04-13_nrt.stac-item
2024-04-13 12:03:13	ga_s2am_ard_3-2-1_50KLD_2024-04-13_nrt.stac-item
2024-04-13 12:03:31	ga_s2am_ard_3-2-1_50KKC_2024-04-13_nrt.stac-item
2024-04-13 12:03:31	ga_s2am_ard_3-2-1_49KHT_2024-04-13_nrt.stac-item
2024-04-13 12:05:21	ga_s2am_ard_3-2-1_49JFL_2024-04-13_nrt.stac-item
2024-04-13 12:06:04	ga_s2am_ard_3-2-1_49JFH_2024-04-13_nrt.stac-item
2024-04-13 12:06:14	ga_s2am_ard_3-2-1_49JGG_2024-04-13_nrt.stac-item
2024-04-13 12:06:23	ga_s2am_ard_3-2-1_50JKL_2024-04-13_nrt.stac-item
2024-04-13 12:06:25	ga_s2am_ard_3-2-1_49JGF_2024-04-13_nrt.stac-item
2024-04-13 12:06:26	ga_s2am_ard_3-2-1_49JFF_2024-04-13_nrt.stac-item
2024-04-14 09:49:38	ga_s2am_ard_3-2-1_56LMP_2024-04-14_nrt.stac-item
2024-04-14 09:49:45	ga_s2am_ard_3-2-1_56LKP_2024-04-14_nrt.stac-item
2024-04-14 09:49:47	ga_s2am_ard_3-2-1_55LHJ_2024-04-14_nrt.stac-item
2024-04-14 09:49:51	ga_s2am_ard_3-2-1_56LMN_2024-04-14_nrt.stac-item
2024-04-14 09:49:51	ga_s2am_ard_3-2-1_55LGJ_2024-04-14_nrt.stac-item
2024-04-14 09:49:56	ga_s2am_ard_3-2-1_56LLN_2024-04-14_nrt.stac-item
2024-04-14 09:50:00	ga_s2am_ard_3-2-1_56LKN_2024-04-14_nrt.stac-item
2024-04-14 09:50:00	ga_s2am_ard_3-2-1_55LHH_2024-04-14_nrt.stac-item
2024-04-14 09:50:01	ga_s2am_ard_3-2-1_56LMM_2024-04-14_nrt.stac-item
2024-04-14 09:50:02	ga_s2am_ard_3-2-1_55LGH_2024-04-14_nrt.stac-item
2024-04-14 09:50:05	ga_s2am_ard_3-2-1_56LLM_2024-04-14_nrt.stac-item
2024-04-14 09:50:07	ga_s2am_ard_3-2-1_56LKM_2024-04-14_nrt.stac-item
2024-04-14 09:50:07	ga_s2am_ard_3-2-1_55LHG_2024-04-14_nrt.stac-item
2024-04-14 09:51:01	ga_s2am_ard_3-2-1_56LLJ_2024-04-14_nrt.stac-item
2024-04-14 09:51:03	ga_s2am_ard_3-2-1_56LKJ_2024-04-14_nrt.stac-item
2024-04-14 09:51:04	ga_s2am_ard_3-2-1_55LHD_2024-04-14_nrt.stac-item
2024-04-14 09:51:05	ga_s2am_ard_3-2-1_55LGD_2024-04-14_nrt.stac-item
2024-04-14 09:51:06	ga_s2am_ard_3-2-1_56LLH_2024-04-14_nrt.stac-item
2024-04-14 09:51:07	ga_s2am_ard_3-2-1_55LFD_2024-04-14_nrt.stac-item
2024-04-14 09:51:12	ga_s2am_ard_3-2-1_56LKH_2024-04-14_nrt.stac-item
2024-04-14 09:51:42	ga_s2am_ard_3-2-1_55KHA_2024-04-14_nrt.stac-item
2024-04-14 09:51:53	ga_s2am_ard_3-2-1_56KKE_2024-04-14_nrt.stac-item
2024-04-14 09:51:53	ga_s2am_ard_3-2-1_55KHV_2024-04-14_nrt.stac-item
2024-04-14 09:51:53	ga_s2am_ard_3-2-1_55KEA_2024-04-14_nrt.stac-item
2024-04-14 09:51:55	ga_s2am_ard_3-2-1_55KGA_2024-04-14_nrt.stac-item
2024-04-14 09:51:55	ga_s2am_ard_3-2-1_55KGV_2024-04-14_nrt.stac-item
2024-04-14 09:51:56	ga_s2am_ard_3-2-1_55KFV_2024-04-14_nrt.stac-item
2024-04-14 09:51:58	ga_s2am_ard_3-2-1_55KEA_2024-04-14_nrt.stac-item
2024-04-14 09:51:59	ga_s2am_ard_3-2-1_56KKE_2024-04-14_nrt.stac-item
2024-04-14 09:51:59	ga_s2am_ard_3-2-1_55KHV_2024-04-14_nrt.stac-item
2024-04-14 09:52:01	ga_s2am_ard_3-2-1_55KGV_2024-04-14_nrt.stac-item
2024-04-14 09:52:04	ga_s2am_ard_3-2-1_55KFV_2024-04-14_nrt.stac-item
2024-04-14 09:52:10	ga_s2am_ard_3-2-1_56KKD_2024-04-14_nrt.stac-item
2024-04-14 09:52:12	ga_s2am_ard_3-2-1_55KHU_2024-04-14_nrt.stac-item
2024-04-14 09:52:21	ga_s2am_ard_3-2-1_56KKC_2024-04-14_nrt.stac-item
2024-04-14 09:57:57	ga_s2am_ard_3-2-1_54HXB_2024-04-14_nrt.stac-item
2024-04-14 09:58:00	ga_s2am_ard_3-2-1_54HWB_2024-04-14_nrt.stac-item
2024-04-14 09:58:11	ga_s2am_ard_3-2-1_54GXA_2024-04-14_nrt.stac-item
2024-04-14 09:58:15	ga_s2am_ard_3-2-1_54GWA_2024-04-14_nrt.stac-item
2024-04-14 09:58:25	ga_s2am_ard_3-2-1_54GXV_2024-04-14_nrt.stac-item
2024-04-14 09:58:28	ga_s2am_ard_3-2-1_54GWV_2024-04-14_nrt.stac-item
2024-04-14 09:58:31	ga_s2am_ard_3-2-1_54GYU_2024-04-14_nrt.stac-item
2024-04-14 09:58:31	ga_s2am_ard_3-2-1_55GBP_2024-04-14_nrt.stac-item
2024-04-14 09:58:33	ga_s2am_ard_3-2-1_54GXU_2024-04-14_nrt.stac-item
2024-04-14 11:30:16	ga_s2am_ard_3-2-1_52LCP_2024-04-14_nrt.stac-item
2024-04-14 11:30:39	ga_s2am_ard_3-2-1_51LZH_2024-04-14_nrt.stac-item
2024-04-14 11:30:52	ga_s2am_ard_3-2-1_52LBM_2024-04-14_nrt.stac-item
2024-04-14 11:31:15	ga_s2am_ard_3-2-1_51LXF_2024-04-14_nrt.stac-item
2024-04-14 11:31:19	ga_s2am_ard_3-2-1_51LWF_2024-04-14_nrt.stac-item
2024-04-14 11:37:30	ga_s2am_ard_3-2-1_51HTA_2024-04-14_nrt.stac-item
2024-04-14 11:37:30	ga_s2am_ard_3-2-1_50HQF_2024-04-14_nrt.stac-item
2024-04-14 11:37:32	ga_s2am_ard_3-2-1_50HPF_2024-04-14_nrt.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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years