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:

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First 100 results (query limit)

Time (local)	Label
2023-05-30 11:35:48	ga_s2am_ard_3-2-1_51JUH_2023-05-30_final.stac-item
2023-05-30 11:35:52	ga_s2am_ard_3-2-1_51JTH_2023-05-30_final.stac-item
2023-05-30 11:36:00	ga_s2am_ard_3-2-1_51JVG_2023-05-30_final.stac-item
2023-05-30 11:36:06	ga_s2am_ard_3-2-1_51JTG_2023-05-30_final.stac-item
2023-05-30 11:36:14	ga_s2am_ard_3-2-1_51JVF_2023-05-30_final.stac-item
2023-05-30 11:36:32	ga_s2am_ard_3-2-1_51HUE_2023-05-30_final.stac-item
2023-05-30 11:36:35	ga_s2am_ard_3-2-1_51HTE_2023-05-30_final.stac-item
2023-05-30 11:36:37	ga_s2am_ard_3-2-1_51HVD_2023-05-30_final.stac-item
2023-05-30 11:36:38	ga_s2am_ard_3-2-1_50HQK_2023-05-30_final.stac-item
2023-05-30 11:36:41	ga_s2am_ard_3-2-1_50HPK_2023-05-30_final.stac-item
2023-05-30 11:36:46	ga_s2am_ard_3-2-1_51HUD_2023-05-30_final.stac-item
2023-05-30 11:36:50	ga_s2am_ard_3-2-1_51HTD_2023-05-30_final.stac-item
2023-05-30 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-05-30_final.stac-item
2023-05-30 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-05-30_final.stac-item
2023-05-30 11:37:01	ga_s2am_ard_3-2-1_51HUC_2023-05-30_final.stac-item
2023-05-30 11:37:10	ga_s2am_ard_3-2-1_50HPH_2023-05-30_final.stac-item
2023-05-30 11:37:16	ga_s2am_ard_3-2-1_51HUB_2023-05-30_final.stac-item
2023-05-30 11:37:19	ga_s2am_ard_3-2-1_51HTB_2023-05-30_final.stac-item
2023-05-30 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-05-30_final.stac-item
2023-05-30 11:37:23	ga_s2am_ard_3-2-1_50HPG_2023-05-30_final.stac-item
2023-05-30 11:37:27	ga_s2am_ard_3-2-1_50HNG_2023-05-30_final.stac-item
2023-05-30 11:37:28	ga_s2am_ard_3-2-1_51HTB_2023-05-30_final.stac-item
2023-05-30 11:37:28	ga_s2am_ard_3-2-1_50HQG_2023-05-30_final.stac-item
2023-05-30 11:37:30	ga_s2am_ard_3-2-1_50HPG_2023-05-30_final.stac-item
2023-05-30 11:37:32	ga_s2am_ard_3-2-1_50HNG_2023-05-30_final.stac-item
2023-05-31 09:24:09	ga_s2am_ard_3-2-1_56JPR_2023-05-30_nrt.stac-item
2023-05-31 09:24:13	ga_s2am_ard_3-2-1_56JNR_2023-05-30_final.stac-item
2023-05-31 09:24:19	ga_s2am_ard_3-2-1_56JPQ_2023-05-30_nrt.stac-item
2023-05-31 09:24:20	ga_s2am_ard_3-2-1_56JNR_2023-05-30_final.stac-item
2023-05-31 09:24:20	ga_s2am_ard_3-2-1_56JNQ_2023-05-30_final.stac-item
2023-05-31 09:24:26	ga_s2am_ard_3-2-1_56JPQ_2023-05-30_nrt.stac-item
2023-05-31 09:24:27	ga_s2am_ard_3-2-1_56JNQ_2023-05-30_final.stac-item
2023-05-31 09:24:32	ga_s2am_ard_3-2-1_56JMQ_2023-05-30_final.stac-item
2023-05-31 09:24:53	ga_s2am_ard_3-2-1_56JPN_2023-05-30_nrt.stac-item
2023-05-31 09:25:07	ga_s2am_ard_3-2-1_56JPM_2023-05-30_nrt.stac-item
2023-05-31 09:25:11	ga_s2am_ard_3-2-1_56JNM_2023-05-30_final.stac-item
2023-05-31 09:25:25	ga_s2am_ard_3-2-1_56JNL_2023-05-30_final.stac-item
2023-05-31 09:25:36	ga_s2am_ard_3-2-1_56HPK_2023-05-30_nrt.stac-item
2023-05-31 09:25:46	ga_s2am_ard_3-2-1_56HLK_2023-05-30_final.stac-item
2023-05-31 09:25:51	ga_s2am_ard_3-2-1_56HPJ_2023-05-30_nrt.stac-item
2023-05-31 09:25:54	ga_s2am_ard_3-2-1_56HNJ_2023-05-30_nrt.stac-item
2023-05-31 09:25:58	ga_s2am_ard_3-2-1_56HMJ_2023-05-30_final.stac-item
2023-05-31 09:26:01	ga_s2am_ard_3-2-1_56HLJ_2023-05-30_final.stac-item
2023-05-31 09:26:04	ga_s2am_ard_3-2-1_56HPH_2023-05-30_nrt.stac-item
2023-05-31 09:26:09	ga_s2am_ard_3-2-1_56HNH_2023-05-30_nrt.stac-item
2023-05-31 09:26:12	ga_s2am_ard_3-2-1_56HMH_2023-05-30_nrt.stac-item
2023-05-31 09:26:15	ga_s2am_ard_3-2-1_56HPG_2023-05-30_nrt.stac-item
2023-05-31 09:26:16	ga_s2am_ard_3-2-1_56HLH_2023-05-30_final.stac-item
2023-05-31 09:26:23	ga_s2am_ard_3-2-1_56HNG_2023-05-30_nrt.stac-item
2023-05-31 09:26:27	ga_s2am_ard_3-2-1_56HMG_2023-05-30_nrt.stac-item
2023-05-31 09:26:30	ga_s2am_ard_3-2-1_56HLG_2023-05-30_final.stac-item
2023-05-31 09:26:38	ga_s2am_ard_3-2-1_56HNF_2023-05-30_nrt.stac-item
2023-05-31 09:26:41	ga_s2am_ard_3-2-1_56HMF_2023-05-30_nrt.stac-item
2023-05-31 09:27:02	ga_s2am_ard_3-2-1_56HKE_2023-05-30_final.stac-item
2023-05-31 09:27:14	ga_s2am_ard_3-2-1_56HLD_2023-05-30_nrt.stac-item
2023-05-31 09:27:17	ga_s2am_ard_3-2-1_56HKD_2023-05-30_final.stac-item
2023-05-31 09:27:18	ga_s2am_ard_3-2-1_55HGU_2023-05-30_final.stac-item
2023-05-31 09:27:18	ga_s2am_ard_3-2-1_56HNC_2023-05-30_nrt.stac-item
2023-05-31 09:27:25	ga_s2am_ard_3-2-1_56HMC_2023-05-30_nrt.stac-item
2023-05-31 09:27:29	ga_s2am_ard_3-2-1_56HLC_2023-05-30_nrt.stac-item
2023-05-31 09:27:32	ga_s2am_ard_3-2-1_56HKC_2023-05-30_final.stac-item
2023-05-31 09:27:33	ga_s2am_ard_3-2-1_55HGT_2023-05-30_final.stac-item
2023-05-31 09:28:32	ga_s2am_ard_3-2-1_56GMT_2023-05-30_nrt.stac-item
2023-05-31 09:28:41	ga_s2am_ard_3-2-1_56GLT_2023-05-30_nrt.stac-item
2023-05-31 09:28:44	ga_s2am_ard_3-2-1_55GGN_2023-05-30_nrt.stac-item
2023-05-31 09:28:48	ga_s2am_ard_3-2-1_55GFN_2023-05-30_final.stac-item
2023-05-31 09:28:53	ga_s2am_ard_3-2-1_55GEN_2023-05-30_final.stac-item
2023-05-31 09:28:56	ga_s2am_ard_3-2-1_56GLS_2023-05-30_nrt.stac-item
2023-05-31 09:28:58	ga_s2am_ard_3-2-1_55GGM_2023-05-30_nrt.stac-item
2023-05-31 09:29:01	ga_s2am_ard_3-2-1_55GFM_2023-05-30_final.stac-item
2023-05-31 09:29:03	ga_s2am_ard_3-2-1_55GEM_2023-05-30_final.stac-item
2023-05-31 11:01:12	ga_s2am_ard_3-2-1_53LKE_2023-05-31_final.stac-item
2023-05-31 11:01:13	ga_s2am_ard_3-2-1_52LHK_2023-05-31_final.stac-item
2023-05-31 11:01:14	ga_s2am_ard_3-2-1_52LGK_2023-05-31_final.stac-item
2023-05-31 11:01:19	ga_s2am_ard_3-2-1_53LKE_2023-05-31_final.stac-item
2023-05-31 11:01:21	ga_s2am_ard_3-2-1_52LGK_2023-05-31_final.stac-item
2023-05-31 11:01:31	ga_s2am_ard_3-2-1_53LKD_2023-05-31_final.stac-item
2023-05-31 11:01:32	ga_s2am_ard_3-2-1_52LHJ_2023-05-31_final.stac-item
2023-05-31 11:01:35	ga_s2am_ard_3-2-1_52LGJ_2023-05-31_final.stac-item
2023-05-31 11:04:33	ga_s2am_ard_3-2-1_52JFS_2023-05-31_final.stac-item
2023-05-31 11:04:47	ga_s2am_ard_3-2-1_52JFR_2023-05-31_final.stac-item
2023-05-31 11:04:51	ga_s2am_ard_3-2-1_52JER_2023-05-31_final.stac-item
2023-05-31 11:04:54	ga_s2am_ard_3-2-1_52JDR_2023-05-31_final.stac-item
2023-05-31 11:04:59	ga_s2am_ard_3-2-1_52JCR_2023-05-31_final.stac-item
2023-05-31 11:05:01	ga_s2am_ard_3-2-1_52JFQ_2023-05-31_final.stac-item
2023-05-31 11:05:12	ga_s2am_ard_3-2-1_52JCQ_2023-05-31_final.stac-item
2023-05-31 11:05:20	ga_s2am_ard_3-2-1_52JEP_2023-05-31_final.stac-item
2023-05-31 11:05:23	ga_s2am_ard_3-2-1_52JDP_2023-05-31_final.stac-item
2023-05-31 11:05:30	ga_s2am_ard_3-2-1_52JFN_2023-05-31_final.stac-item
2023-05-31 11:05:41	ga_s2am_ard_3-2-1_52JCN_2023-05-31_final.stac-item
2023-05-31 11:05:42	ga_s2am_ard_3-2-1_52JFM_2023-05-31_final.stac-item
2023-05-31 11:05:52	ga_s2am_ard_3-2-1_52JDM_2023-05-31_final.stac-item
2023-05-31 11:06:07	ga_s2am_ard_3-2-1_52JDL_2023-05-31_final.stac-item
2023-05-31 11:06:25	ga_s2am_ard_3-2-1_52HCK_2023-05-31_final.stac-item
2023-05-31 11:06:28	ga_s2am_ard_3-2-1_52HBK_2023-05-31_final.stac-item
2023-05-31 11:06:32	ga_s2am_ard_3-2-1_52HEJ_2023-05-31_nrt.stac-item
2023-05-31 11:06:34	ga_s2am_ard_3-2-1_52HDJ_2023-05-31_nrt.stac-item
2023-05-31 11:06:36	ga_s2am_ard_3-2-1_52HCJ_2023-05-31_nrt.stac-item
2023-05-31 11:06:37	ga_s2am_ard_3-2-1_52HBJ_2023-05-31_final.stac-item
2023-05-31 11:06:39	ga_s2am_ard_3-2-1_52HEH_2023-05-31_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

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