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
2023-06-19 11:35:02	ga_s2am_ard_3-2-1_51JVL_2023-06-19_final.stac-item
2023-06-19 11:35:12	ga_s2am_ard_3-2-1_51JWK_2023-06-19_final.stac-item
2023-06-19 11:35:31	ga_s2am_ard_3-2-1_51JVJ_2023-06-19_final.stac-item
2023-06-19 11:35:37	ga_s2am_ard_3-2-1_51JTJ_2023-06-19_final.stac-item
2023-06-19 11:35:45	ga_s2am_ard_3-2-1_51JVH_2023-06-19_final.stac-item
2023-06-19 11:36:00	ga_s2am_ard_3-2-1_51JVG_2023-06-19_final.stac-item
2023-06-19 11:36:03	ga_s2am_ard_3-2-1_51JUG_2023-06-19_final.stac-item
2023-06-19 11:36:07	ga_s2am_ard_3-2-1_51JTG_2023-06-19_final.stac-item
2023-06-19 11:36:09	ga_s2am_ard_3-2-1_50JQM_2023-06-19_final.stac-item
2023-06-19 11:36:50	ga_s2am_ard_3-2-1_51HTD_2023-06-19_final.stac-item
2023-06-19 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-06-19_final.stac-item
2023-06-19 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2023-06-19_final.stac-item
2023-06-19 11:37:01	ga_s2am_ard_3-2-1_51HUC_2023-06-19_final.stac-item
2023-06-19 11:37:11	ga_s2am_ard_3-2-1_50HPH_2023-06-19_final.stac-item
2023-06-19 11:37:19	ga_s2am_ard_3-2-1_51HTB_2023-06-19_final.stac-item
2023-06-19 11:37:21	ga_s2am_ard_3-2-1_50HQG_2023-06-19_final.stac-item
2023-06-19 11:37:30	ga_s2am_ard_3-2-1_50HNG_2023-06-19_final.stac-item
2023-06-20 09:22:57	ga_s2am_ard_3-2-1_56KPA_2023-06-19_nrt.stac-item
2023-06-20 09:23:12	ga_s2am_ard_3-2-1_56KPV_2023-06-19_nrt.stac-item
2023-06-20 09:23:26	ga_s2am_ard_3-2-1_56KPU_2023-06-19_nrt.stac-item
2023-06-20 09:23:58	ga_s2am_ard_3-2-1_56JNS_2023-06-19_final.stac-item
2023-06-20 09:24:09	ga_s2am_ard_3-2-1_56JPR_2023-06-19_nrt.stac-item
2023-06-20 09:24:13	ga_s2am_ard_3-2-1_56JNR_2023-06-19_final.stac-item
2023-06-20 09:24:32	ga_s2am_ard_3-2-1_56JMQ_2023-06-19_final.stac-item
2023-06-20 09:24:42	ga_s2am_ard_3-2-1_56JNP_2023-06-19_final.stac-item
2023-06-20 09:24:45	ga_s2am_ard_3-2-1_56JMP_2023-06-19_final.stac-item
2023-06-20 09:24:57	ga_s2am_ard_3-2-1_56JNN_2023-06-19_final.stac-item
2023-06-20 09:25:11	ga_s2am_ard_3-2-1_56JNM_2023-06-19_final.stac-item
2023-06-20 09:25:15	ga_s2am_ard_3-2-1_56JMM_2023-06-19_final.stac-item
2023-06-20 09:25:55	ga_s2am_ard_3-2-1_56HNJ_2023-06-19_nrt.stac-item
2023-06-20 09:25:58	ga_s2am_ard_3-2-1_56HMJ_2023-06-19_final.stac-item
2023-06-20 09:26:04	ga_s2am_ard_3-2-1_56HPH_2023-06-19_nrt.stac-item
2023-06-20 09:26:16	ga_s2am_ard_3-2-1_56HLH_2023-06-19_final.stac-item
2023-06-20 09:26:35	ga_s2am_ard_3-2-1_56HKG_2023-06-19_final.stac-item
2023-06-20 09:26:38	ga_s2am_ard_3-2-1_56HNF_2023-06-19_nrt.stac-item
2023-06-20 09:26:42	ga_s2am_ard_3-2-1_56HMF_2023-06-19_nrt.stac-item
2023-06-20 09:26:53	ga_s2am_ard_3-2-1_56HNE_2023-06-19_nrt.stac-item
2023-06-20 09:26:56	ga_s2am_ard_3-2-1_56HME_2023-06-19_nrt.stac-item
2023-06-20 09:27:00	ga_s2am_ard_3-2-1_56HLE_2023-06-19_nrt.stac-item
2023-06-20 09:27:03	ga_s2am_ard_3-2-1_56HKE_2023-06-19_final.stac-item
2023-06-20 09:27:05	ga_s2am_ard_3-2-1_55HGV_2023-06-19_final.stac-item
2023-06-20 09:27:18	ga_s2am_ard_3-2-1_56HNC_2023-06-19_nrt.stac-item
2023-06-20 09:27:25	ga_s2am_ard_3-2-1_56HMC_2023-06-19_nrt.stac-item
2023-06-20 09:27:29	ga_s2am_ard_3-2-1_56HLC_2023-06-19_nrt.stac-item
2023-06-20 09:27:32	ga_s2am_ard_3-2-1_56HKC_2023-06-19_final.stac-item
2023-06-20 09:27:33	ga_s2am_ard_3-2-1_55HGT_2023-06-19_final.stac-item
2023-06-20 09:28:09	ga_s2am_ard_3-2-1_56GMV_2023-06-19_nrt.stac-item
2023-06-20 09:28:12	ga_s2am_ard_3-2-1_56GLV_2023-06-19_nrt.stac-item
2023-06-20 09:28:30	ga_s2am_ard_3-2-1_55GGP_2023-06-19_nrt.stac-item
2023-06-20 09:28:30	ga_s2am_ard_3-2-1_56GKU_2023-06-19_nrt.stac-item
2023-06-20 09:28:32	ga_s2am_ard_3-2-1_56GMT_2023-06-19_nrt.stac-item
2023-06-20 09:28:41	ga_s2am_ard_3-2-1_56GLT_2023-06-19_nrt.stac-item
2023-06-20 09:28:42	ga_s2am_ard_3-2-1_55GEP_2023-06-19_final.stac-item
2023-06-20 09:28:44	ga_s2am_ard_3-2-1_55GGN_2023-06-19_nrt.stac-item
2023-06-20 09:28:49	ga_s2am_ard_3-2-1_55GFN_2023-06-19_final.stac-item
2023-06-20 09:28:53	ga_s2am_ard_3-2-1_55GEN_2023-06-19_final.stac-item
2023-06-20 09:28:56	ga_s2am_ard_3-2-1_56GLS_2023-06-19_nrt.stac-item
2023-06-20 09:28:58	ga_s2am_ard_3-2-1_55GGM_2023-06-19_nrt.stac-item
2023-06-20 09:29:01	ga_s2am_ard_3-2-1_55GFM_2023-06-19_final.stac-item
2023-06-20 09:29:03	ga_s2am_ard_3-2-1_55GEM_2023-06-19_final.stac-item
2023-06-20 11:00:44	ga_s2am_ard_3-2-1_53LLG_2023-06-20_final.stac-item
2023-06-20 11:00:47	ga_s2am_ard_3-2-1_53LKG_2023-06-20_final.stac-item
2023-06-20 11:00:49	ga_s2am_ard_3-2-1_52LHM_2023-06-20_final.stac-item
2023-06-20 11:00:52	ga_s2am_ard_3-2-1_52LGM_2023-06-20_final.stac-item
2023-06-20 11:01:13	ga_s2am_ard_3-2-1_53LLE_2023-06-20_final.stac-item
2023-06-20 11:01:16	ga_s2am_ard_3-2-1_53LKE_2023-06-20_final.stac-item
2023-06-20 11:01:18	ga_s2am_ard_3-2-1_52LHK_2023-06-20_final.stac-item
2023-06-20 11:01:21	ga_s2am_ard_3-2-1_52LGK_2023-06-20_final.stac-item
2023-06-20 11:01:42	ga_s2am_ard_3-2-1_53LLC_2023-06-20_final.stac-item
2023-06-20 11:01:54	ga_s2am_ard_3-2-1_52LFH_2023-06-20_final.stac-item
2023-06-20 11:02:16	ga_s2am_ard_3-2-1_52KHF_2023-06-20_final.stac-item
2023-06-20 11:02:22	ga_s2am_ard_3-2-1_52KFF_2023-06-20_final.stac-item
2023-06-20 11:02:33	ga_s2am_ard_3-2-1_52KGE_2023-06-20_final.stac-item
2023-06-20 11:03:06	ga_s2am_ard_3-2-1_52KFC_2023-06-20_final.stac-item
2023-06-20 11:03:31	ga_s2am_ard_3-2-1_52KGA_2023-06-20_final.stac-item
2023-06-20 11:03:35	ga_s2am_ard_3-2-1_52KFA_2023-06-20_final.stac-item
2023-06-20 11:03:50	ga_s2am_ard_3-2-1_52KFV_2023-06-20_final.stac-item
2023-06-20 11:04:04	ga_s2am_ard_3-2-1_52KFU_2023-06-20_final.stac-item
2023-06-20 11:04:28	ga_s2am_ard_3-2-1_52JGS_2023-06-20_final.stac-item
2023-06-20 11:04:36	ga_s2am_ard_3-2-1_52JES_2023-06-20_final.stac-item
2023-06-20 11:04:40	ga_s2am_ard_3-2-1_52JDS_2023-06-20_final.stac-item
2023-06-20 11:04:47	ga_s2am_ard_3-2-1_52JFR_2023-06-20_final.stac-item
2023-06-20 11:04:51	ga_s2am_ard_3-2-1_52JER_2023-06-20_final.stac-item
2023-06-20 11:04:54	ga_s2am_ard_3-2-1_52JDR_2023-06-20_final.stac-item
2023-06-20 11:04:59	ga_s2am_ard_3-2-1_52JCR_2023-06-20_final.stac-item
2023-06-20 11:05:05	ga_s2am_ard_3-2-1_52JEQ_2023-06-20_final.stac-item
2023-06-20 11:05:09	ga_s2am_ard_3-2-1_52JDQ_2023-06-20_final.stac-item
2023-06-20 11:05:20	ga_s2am_ard_3-2-1_52JEP_2023-06-20_final.stac-item
2023-06-20 11:05:23	ga_s2am_ard_3-2-1_52JDP_2023-06-20_final.stac-item
2023-06-20 11:05:34	ga_s2am_ard_3-2-1_52JEN_2023-06-20_final.stac-item
2023-06-20 11:05:41	ga_s2am_ard_3-2-1_52JCN_2023-06-20_final.stac-item
2023-06-20 11:05:42	ga_s2am_ard_3-2-1_52JFM_2023-06-20_final.stac-item
2023-06-20 11:05:49	ga_s2am_ard_3-2-1_52JEM_2023-06-20_final.stac-item
2023-06-20 11:05:52	ga_s2am_ard_3-2-1_52JDM_2023-06-20_final.stac-item
2023-06-20 11:05:56	ga_s2am_ard_3-2-1_52JCM_2023-06-20_final.stac-item
2023-06-20 11:06:02	ga_s2am_ard_3-2-1_52JBM_2023-06-20_final.stac-item
2023-06-20 11:06:34	ga_s2am_ard_3-2-1_52HDJ_2023-06-20_nrt.stac-item
2023-06-20 11:06:36	ga_s2am_ard_3-2-1_52HCJ_2023-06-20_nrt.stac-item
2023-06-20 11:06:37	ga_s2am_ard_3-2-1_52HBJ_2023-06-20_final.stac-item
2023-06-20 11:06:39	ga_s2am_ard_3-2-1_52HEH_2023-06-20_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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