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
2023-05-24 09:34:44	ga_s2am_ard_3-2-1_56JLP_2023-05-24_final.stac-item
2023-05-24 09:34:47	ga_s2am_ard_3-2-1_56JNN_2023-05-24_final.stac-item
2023-05-24 09:34:58	ga_s2am_ard_3-2-1_56JLN_2023-05-24_final.stac-item
2023-05-24 09:35:04	ga_s2am_ard_3-2-1_55JGH_2023-05-24_final.stac-item
2023-05-24 09:35:13	ga_s2am_ard_3-2-1_56JLM_2023-05-24_final.stac-item
2023-05-24 09:35:16	ga_s2am_ard_3-2-1_56JKM_2023-05-24_final.stac-item
2023-05-24 09:35:18	ga_s2am_ard_3-2-1_55JGG_2023-05-24_final.stac-item
2023-05-24 09:35:27	ga_s2am_ard_3-2-1_56JLL_2023-05-24_final.stac-item
2023-05-24 09:35:31	ga_s2am_ard_3-2-1_56JKL_2023-05-24_final.stac-item
2023-05-24 09:35:42	ga_s2am_ard_3-2-1_56HLK_2023-05-24_final.stac-item
2023-05-24 09:35:45	ga_s2am_ard_3-2-1_56HKK_2023-05-24_final.stac-item
2023-05-24 09:36:35	ga_s2am_ard_3-2-1_55HFB_2023-05-24_final.stac-item
2023-05-24 09:36:49	ga_s2am_ard_3-2-1_55HFA_2023-05-24_final.stac-item
2023-05-24 09:36:54	ga_s2am_ard_3-2-1_56HLE_2023-05-24_nrt.stac-item
2023-05-24 09:36:58	ga_s2am_ard_3-2-1_56HKE_2023-05-24_final.stac-item
2023-05-24 09:36:59	ga_s2am_ard_3-2-1_55HGV_2023-05-24_final.stac-item
2023-05-24 09:37:03	ga_s2am_ard_3-2-1_55HFV_2023-05-24_final.stac-item
2023-05-24 09:37:07	ga_s2am_ard_3-2-1_55HEV_2023-05-24_final.stac-item
2023-05-24 09:37:22	ga_s2am_ard_3-2-1_55HEU_2023-05-24_final.stac-item
2023-05-24 09:37:32	ga_s2am_ard_3-2-1_55HFT_2023-05-24_final.stac-item
2023-05-24 09:37:36	ga_s2am_ard_3-2-1_55HET_2023-05-24_final.stac-item
2023-05-24 09:37:43	ga_s2am_ard_3-2-1_55HDT_2023-05-24_final.stac-item
2023-05-24 09:37:57	ga_s2am_ard_3-2-1_56GKA_2023-05-24_nrt.stac-item
2023-05-24 09:37:57	ga_s2am_ard_3-2-1_55GGR_2023-05-24_nrt.stac-item
2023-05-24 09:38:05	ga_s2am_ard_3-2-1_55GER_2023-05-24_final.stac-item
2023-05-24 09:38:19	ga_s2am_ard_3-2-1_55GEQ_2023-05-24_final.stac-item
2023-05-24 09:38:22	ga_s2am_ard_3-2-1_55GGP_2023-05-24_nrt.stac-item
2023-05-24 09:38:23	ga_s2am_ard_3-2-1_56GKU_2023-05-24_nrt.stac-item
2023-05-24 09:38:30	ga_s2am_ard_3-2-1_55GFP_2023-05-24_final.stac-item
2023-05-24 11:10:07	ga_s2am_ard_3-2-1_53LKJ_2023-05-24_final.stac-item
2023-05-24 11:10:14	ga_s2am_ard_3-2-1_52LHP_2023-05-24_nrt.stac-item
2023-05-24 11:10:18	ga_s2am_ard_3-2-1_52LGP_2023-05-24_nrt.stac-item
2023-05-24 11:10:21	ga_s2am_ard_3-2-1_52LFP_2023-05-24_nrt.stac-item
2023-05-24 11:10:24	ga_s2am_ard_3-2-1_52LEP_2023-05-24_nrt.stac-item
2023-05-24 11:10:28	ga_s2am_ard_3-2-1_52LHN_2023-05-24_final.stac-item
2023-05-24 11:10:32	ga_s2am_ard_3-2-1_52LGN_2023-05-24_final.stac-item
2023-05-24 11:10:40	ga_s2am_ard_3-2-1_52LHM_2023-05-24_final.stac-item
2023-05-24 11:10:46	ga_s2am_ard_3-2-1_52LGM_2023-05-24_final.stac-item
2023-05-24 11:10:50	ga_s2am_ard_3-2-1_52LFM_2023-05-24_final.stac-item
2023-05-24 11:10:53	ga_s2am_ard_3-2-1_52LEM_2023-05-24_nrt.stac-item
2023-05-24 11:11:00	ga_s2am_ard_3-2-1_52LDM_2023-05-24_nrt.stac-item
2023-05-24 11:11:08	ga_s2am_ard_3-2-1_52LEL_2023-05-24_final.stac-item
2023-05-24 11:11:12	ga_s2am_ard_3-2-1_52LDL_2023-05-24_nrt.stac-item
2023-05-24 11:11:19	ga_s2am_ard_3-2-1_52LFK_2023-05-24_final.stac-item
2023-05-24 11:11:22	ga_s2am_ard_3-2-1_52LEK_2023-05-24_final.stac-item
2023-05-24 11:11:25	ga_s2am_ard_3-2-1_52LDK_2023-05-24_nrt.stac-item
2023-05-24 11:11:34	ga_s2am_ard_3-2-1_52LFJ_2023-05-24_final.stac-item
2023-05-24 11:11:37	ga_s2am_ard_3-2-1_52LEJ_2023-05-24_final.stac-item
2023-05-24 11:11:40	ga_s2am_ard_3-2-1_52LDJ_2023-05-24_final.stac-item
2023-05-24 11:11:48	ga_s2am_ard_3-2-1_52LFH_2023-05-24_final.stac-item
2023-05-24 11:12:17	ga_s2am_ard_3-2-1_52KFF_2023-05-24_final.stac-item
2023-05-24 11:12:27	ga_s2am_ard_3-2-1_52KCF_2023-05-24_final.stac-item
2023-05-24 11:12:35	ga_s2am_ard_3-2-1_52KEE_2023-05-24_final.stac-item
2023-05-24 11:12:38	ga_s2am_ard_3-2-1_52KDE_2023-05-24_final.stac-item
2023-05-24 11:12:45	ga_s2am_ard_3-2-1_52KFD_2023-05-24_final.stac-item
2023-05-24 11:12:49	ga_s2am_ard_3-2-1_52KED_2023-05-24_final.stac-item
2023-05-24 11:12:53	ga_s2am_ard_3-2-1_52KDD_2023-05-24_final.stac-item
2023-05-24 11:12:56	ga_s2am_ard_3-2-1_52KCD_2023-05-24_final.stac-item
2023-05-24 11:13:04	ga_s2am_ard_3-2-1_52KEC_2023-05-24_final.stac-item
2023-05-24 11:13:07	ga_s2am_ard_3-2-1_52KDC_2023-05-24_final.stac-item
2023-05-24 11:13:11	ga_s2am_ard_3-2-1_52KCC_2023-05-24_final.stac-item
2023-05-24 11:13:16	ga_s2am_ard_3-2-1_52KBC_2023-05-24_final.stac-item
2023-05-24 11:13:25	ga_s2am_ard_3-2-1_52KCB_2023-05-24_final.stac-item
2023-05-24 11:13:29	ga_s2am_ard_3-2-1_52KBB_2023-05-24_final.stac-item
2023-05-24 11:13:32	ga_s2am_ard_3-2-1_51KZS_2023-05-24_final.stac-item
2023-05-24 11:13:33	ga_s2am_ard_3-2-1_52KEA_2023-05-24_final.stac-item
2023-05-24 11:13:36	ga_s2am_ard_3-2-1_52KDA_2023-05-24_final.stac-item
2023-05-24 11:13:43	ga_s2am_ard_3-2-1_52KBA_2023-05-24_final.stac-item
2023-05-24 11:13:47	ga_s2am_ard_3-2-1_52KEV_2023-05-24_final.stac-item
2023-05-24 11:13:51	ga_s2am_ard_3-2-1_52KDV_2023-05-24_final.stac-item
2023-05-24 11:13:54	ga_s2am_ard_3-2-1_52KCV_2023-05-24_final.stac-item
2023-05-24 11:13:57	ga_s2am_ard_3-2-1_52KBV_2023-05-24_final.stac-item
2023-05-24 11:14:12	ga_s2am_ard_3-2-1_52KBU_2023-05-24_final.stac-item
2023-05-24 11:14:20	ga_s2am_ard_3-2-1_52JDT_2023-05-24_final.stac-item
2023-05-24 11:14:24	ga_s2am_ard_3-2-1_52JCT_2023-05-24_final.stac-item
2023-05-24 11:14:27	ga_s2am_ard_3-2-1_52JBT_2023-05-24_final.stac-item
2023-05-24 11:14:34	ga_s2am_ard_3-2-1_52JDS_2023-05-24_final.stac-item
2023-05-24 11:14:38	ga_s2am_ard_3-2-1_52JCS_2023-05-24_final.stac-item
2023-05-24 11:14:41	ga_s2am_ard_3-2-1_52JBS_2023-05-24_final.stac-item
2023-05-24 11:14:44	ga_s2am_ard_3-2-1_51JYM_2023-05-24_final.stac-item
2023-05-24 11:14:53	ga_s2am_ard_3-2-1_52JCR_2023-05-24_final.stac-item
2023-05-24 11:14:56	ga_s2am_ard_3-2-1_52JBR_2023-05-24_final.stac-item
2023-05-24 11:14:59	ga_s2am_ard_3-2-1_51JYL_2023-05-24_final.stac-item
2023-05-24 11:15:03	ga_s2am_ard_3-2-1_52JDQ_2023-05-24_final.stac-item
2023-05-24 11:15:10	ga_s2am_ard_3-2-1_52JBQ_2023-05-24_final.stac-item
2023-05-24 11:15:13	ga_s2am_ard_3-2-1_51JYK_2023-05-24_final.stac-item
2023-05-24 11:15:15	ga_s2am_ard_3-2-1_52JDP_2023-05-24_final.stac-item
2023-05-24 11:15:21	ga_s2am_ard_3-2-1_52JCP_2023-05-24_final.stac-item
2023-05-24 11:15:28	ga_s2am_ard_3-2-1_51JYJ_2023-05-24_final.stac-item
2023-05-24 11:15:36	ga_s2am_ard_3-2-1_52JCN_2023-05-24_final.stac-item
2023-05-24 11:15:42	ga_s2am_ard_3-2-1_51JYH_2023-05-24_final.stac-item
2023-05-24 11:15:46	ga_s2am_ard_3-2-1_51JXH_2023-05-24_final.stac-item
2023-05-24 11:15:51	ga_s2am_ard_3-2-1_52JCM_2023-05-24_final.stac-item
2023-05-24 11:15:54	ga_s2am_ard_3-2-1_52JBM_2023-05-24_final.stac-item
2023-05-24 11:15:57	ga_s2am_ard_3-2-1_51JYG_2023-05-24_final.stac-item
2023-05-24 11:16:00	ga_s2am_ard_3-2-1_51JXG_2023-05-24_final.stac-item
2023-05-24 11:16:05	ga_s2am_ard_3-2-1_52JCL_2023-05-24_final.stac-item
2023-05-24 11:16:09	ga_s2am_ard_3-2-1_52JBL_2023-05-24_final.stac-item
2023-05-24 11:16:23	ga_s2am_ard_3-2-1_52HBK_2023-05-24_final.stac-item
2023-05-24 11:16:58	ga_s2am_ard_3-2-1_51HXC_2023-05-24_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