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
2021-10-21 09:34:46	ga_s2am_ard_3-2-1_56JLP_2021-10-21_final
2021-10-21 09:34:49	ga_s2am_ard_3-2-1_56JNN_2021-10-21_final
2021-10-21 09:34:49	ga_s2am_ard_3-2-1_56JKP_2021-10-21_final
2021-10-21 09:34:55	ga_s2am_ard_3-2-1_55JGJ_2021-10-21_final
2021-10-21 09:34:57	ga_s2am_ard_3-2-1_56JMN_2021-10-21_final
2021-10-21 09:35:01	ga_s2am_ard_3-2-1_56JLN_2021-10-21_final
2021-10-21 09:35:04	ga_s2am_ard_3-2-1_56JKN_2021-10-21_final
2021-10-21 09:35:07	ga_s2am_ard_3-2-1_55JGH_2021-10-21_final
2021-10-21 09:35:11	ga_s2am_ard_3-2-1_56JMM_2021-10-21_final
2021-10-21 09:35:15	ga_s2am_ard_3-2-1_56JLM_2021-10-21_final
2021-10-21 09:35:30	ga_s2am_ard_3-2-1_56JLL_2021-10-21_final
2021-10-21 09:35:33	ga_s2am_ard_3-2-1_56JKL_2021-10-21_final
2021-10-21 09:35:35	ga_s2am_ard_3-2-1_55JGF_2021-10-21_final
2021-10-21 09:35:40	ga_s2am_ard_3-2-1_56HMK_2021-10-21_final
2021-10-21 09:35:44	ga_s2am_ard_3-2-1_56HLK_2021-10-21_final
2021-10-21 09:35:47	ga_s2am_ard_3-2-1_56HKK_2021-10-21_final
2021-10-21 09:35:50	ga_s2am_ard_3-2-1_55HGE_2021-10-21_final
2021-10-21 09:35:53	ga_s2am_ard_3-2-1_56HMJ_2021-10-21_final
2021-10-21 09:35:55	ga_s2am_ard_3-2-1_55HFE_2021-10-21_final
2021-10-21 09:35:59	ga_s2am_ard_3-2-1_56HLJ_2021-10-21_final
2021-10-21 09:36:13	ga_s2am_ard_3-2-1_56HLH_2021-10-21_final.stac-item
2021-10-21 09:36:17	ga_s2am_ard_3-2-1_56HKH_2021-10-21_final
2021-10-21 09:36:18	ga_s2am_ard_3-2-1_55HGC_2021-10-21_final
2021-10-21 09:36:28	ga_s2am_ard_3-2-1_56HLG_2021-10-21_final.stac-item
2021-10-21 09:36:33	ga_s2am_ard_3-2-1_55HGB_2021-10-21_final
2021-10-21 09:36:37	ga_s2am_ard_3-2-1_55HFB_2021-10-21_final
2021-10-21 09:36:46	ga_s2am_ard_3-2-1_56HKF_2021-10-21_final
2021-10-21 09:36:47	ga_s2am_ard_3-2-1_55HGA_2021-10-21_final
2021-10-21 09:36:51	ga_s2am_ard_3-2-1_55HFA_2021-10-21_final
2021-10-21 09:36:56	ga_s2am_ard_3-2-1_55HEA_2021-10-21_final
2021-10-21 09:37:02	ga_s2am_ard_3-2-1_55HGV_2021-10-21_final
2021-10-21 09:37:05	ga_s2am_ard_3-2-1_55HFV_2021-10-21_final
2021-10-21 09:37:09	ga_s2am_ard_3-2-1_55HEV_2021-10-21_final
2021-10-21 09:37:16	ga_s2am_ard_3-2-1_55HGU_2021-10-21_final.stac-item
2021-10-21 09:37:24	ga_s2am_ard_3-2-1_55HEU_2021-10-21_final
2021-10-21 09:37:34	ga_s2am_ard_3-2-1_55HFT_2021-10-21_final.stac-item
2021-10-21 09:37:38	ga_s2am_ard_3-2-1_55HET_2021-10-21_final
2021-10-21 09:37:45	ga_s2am_ard_3-2-1_55HDT_2021-10-21_final
2021-10-21 09:37:49	ga_s2am_ard_3-2-1_55HFS_2021-10-21_final.stac-item
2021-10-21 09:38:03	ga_s2am_ard_3-2-1_55GFR_2021-10-21_final
2021-10-21 09:38:07	ga_s2am_ard_3-2-1_55GER_2021-10-21_final
2021-10-21 09:38:11	ga_s2am_ard_3-2-1_55GDR_2021-10-21_final
2021-10-21 09:38:18	ga_s2am_ard_3-2-1_55GFQ_2021-10-21_final
2021-10-21 09:38:22	ga_s2am_ard_3-2-1_55GEQ_2021-10-21_final
2021-10-21 09:38:25	ga_s2am_ard_3-2-1_55GDQ_2021-10-21_final
2021-10-21 09:38:32	ga_s2am_ard_3-2-1_55GFP_2021-10-21_final
2021-10-21 09:38:36	ga_s2am_ard_3-2-1_55GEP_2021-10-21_final
2021-10-21 09:38:40	ga_s2am_ard_3-2-1_55GDP_2021-10-21_final
2021-10-21 09:38:45	ga_s2am_ard_3-2-1_55GCP_2021-10-21_final
2021-10-21 09:39:05	ga_s2am_ard_3-2-1_55GEM_2021-10-21_final.stac-item
2021-10-21 09:39:07	ga_s2am_ard_3-2-1_55GDM_2021-10-21_final.stac-item
2021-10-21 09:39:09	ga_s2am_ard_3-2-1_55GCM_2021-10-21_final.stac-item
2021-10-21 11:11:10	ga_s2am_ard_3-2-1_52LEL_2021-10-21_final.stac-item
2021-10-21 11:11:36	ga_s2am_ard_3-2-1_52LFJ_2021-10-21_final
2021-10-21 11:11:39	ga_s2am_ard_3-2-1_52LEJ_2021-10-21_final
2021-10-21 11:11:42	ga_s2am_ard_3-2-1_52LDJ_2021-10-21_final
2021-10-21 11:11:50	ga_s2am_ard_3-2-1_52LFH_2021-10-21_final
2021-10-21 11:11:55	ga_s2am_ard_3-2-1_52KGG_2021-10-21_final
2021-10-21 11:12:34	ga_s2am_ard_3-2-1_52KFE_2021-10-21_final
2021-10-21 11:12:37	ga_s2am_ard_3-2-1_52KEE_2021-10-21_final
2021-10-21 11:12:40	ga_s2am_ard_3-2-1_52KDE_2021-10-21_final
2021-10-21 11:12:43	ga_s2am_ard_3-2-1_52KCE_2021-10-21_final
2021-10-21 11:13:45	ga_s2am_ard_3-2-1_51KZR_2021-10-21_final
2021-10-21 11:13:59	ga_s2am_ard_3-2-1_51KZQ_2021-10-21_final
2021-10-21 11:14:00	ga_s2am_ard_3-2-1_52KBV_2021-10-21_final
2021-10-21 11:14:11	ga_s2am_ard_3-2-1_52KCU_2021-10-21_final
2021-10-21 11:14:13	ga_s2am_ard_3-2-1_52JET_2021-10-21_final
2021-10-21 11:14:14	ga_s2am_ard_3-2-1_52KBU_2021-10-21_final
2021-10-21 11:14:22	ga_s2am_ard_3-2-1_52JDT_2021-10-21_final
2021-10-21 11:14:34	ga_s2am_ard_3-2-1_51JYN_2021-10-21_final
2021-10-21 11:14:40	ga_s2am_ard_3-2-1_52JCS_2021-10-21_final
2021-10-21 11:14:51	ga_s2am_ard_3-2-1_52JDR_2021-10-21_final
2021-10-21 11:14:55	ga_s2am_ard_3-2-1_52JCR_2021-10-21_final
2021-10-21 11:15:01	ga_s2am_ard_3-2-1_51JYL_2021-10-21_final
2021-10-21 11:15:05	ga_s2am_ard_3-2-1_52JDQ_2021-10-21_final
2021-10-21 11:15:09	ga_s2am_ard_3-2-1_52JCQ_2021-10-21_final
2021-10-21 11:15:12	ga_s2am_ard_3-2-1_52JBQ_2021-10-21_final
2021-10-21 11:15:16	ga_s2am_ard_3-2-1_51JYK_2021-10-21_final
2021-10-21 11:15:17	ga_s2am_ard_3-2-1_52JDP_2021-10-21_final
2021-10-21 11:15:24	ga_s2am_ard_3-2-1_52JCP_2021-10-21_final
2021-10-21 11:15:27	ga_s2am_ard_3-2-1_52JBP_2021-10-21_final
2021-10-21 11:15:30	ga_s2am_ard_3-2-1_51JYJ_2021-10-21_final
2021-10-21 11:15:35	ga_s2am_ard_3-2-1_51JXJ_2021-10-21_final
2021-10-21 11:15:38	ga_s2am_ard_3-2-1_52JCN_2021-10-21_final
2021-10-21 11:15:42	ga_s2am_ard_3-2-1_52JBN_2021-10-21_final
2021-10-21 11:15:44	ga_s2am_ard_3-2-1_51JYH_2021-10-21_final
2021-10-21 11:15:48	ga_s2am_ard_3-2-1_51JXH_2021-10-21_final
2021-10-21 11:15:53	ga_s2am_ard_3-2-1_52JCM_2021-10-21_final
2021-10-21 11:16:02	ga_s2am_ard_3-2-1_51JXG_2021-10-21_final
2021-10-21 11:16:08	ga_s2am_ard_3-2-1_52JCL_2021-10-21_final
2021-10-21 11:16:11	ga_s2am_ard_3-2-1_52JBL_2021-10-21_final
2021-10-21 11:16:13	ga_s2am_ard_3-2-1_51JYF_2021-10-21_final
2021-10-21 11:16:17	ga_s2am_ard_3-2-1_51JXF_2021-10-21_final
2021-10-21 11:16:21	ga_s2am_ard_3-2-1_52HCK_2021-10-21_final.stac-item
2021-10-21 11:16:25	ga_s2am_ard_3-2-1_51JWF_2021-10-21_final
2021-10-21 11:16:25	ga_s2am_ard_3-2-1_52HBK_2021-10-21_final
2021-10-21 11:16:28	ga_s2am_ard_3-2-1_51HYE_2021-10-21_final
2021-10-21 11:16:31	ga_s2am_ard_3-2-1_51HXE_2021-10-21_final
2021-10-21 11:16:36	ga_s2am_ard_3-2-1_51HWE_2021-10-21_final
2021-10-21 11:17:12	ga_s2am_ard_3-2-1_51HXB_2021-10-21_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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years